Organizer & Host Strategic Partner
Co Organizer
Under the patronage of H.H.Sheikh Hamed bi Zayed Al Nahyan, Chairman of the Board of Trustees of Khalifa University, 2023 Graduate Students Research Conference (GSRC) will be held in the period 19th-20th March 2023. The GSRC is an exciting multidisciplinary academic event that showcases the research being conducted at universities across the United Arab Emirates (UAE) and by their international partners. The 2023 GSRC is being held under the strategic partnership with the UAE Ministry of Education, Emirates Scientists Council, and Mufakiru Al Emarat.
The main objective of the conference is to provide an opportunities for graduate students to share their research work with their peers, receive constructive scholarly feedback, and establish professional networks for future collaboration. The event will also enable graduate students to present their innovative projects and ideas to diverse sectors of industry and government and receive feedback on practical aspects that may enhance the value of their research. Prospective graduate students will also benefit from the GSRC as they will be in an excellent position to learn about the different research opportunities available at the participating academic institutions.
Colleagues and stakeholders in the government, academic and research sectors, students and faculty members of universities from across the UAE and beyond. Welcome to the UAE GSRC 2023. We would like to express our gratitude and thanks to Highness Sheikh Hamed bi Zayed Al Nahyan, Chairman of the Board of Trustees of Khalifa University for accepting to hold the conference under his patronage. We are also pleased that UAE GSRC 2023 is being held with the support of strategic partners: UAE Ministry of Education, Emirates’ Scientist Council and Mufakiru Al Emarat. This valuable partnership will undoubtedly ensure the conference builds on the success it achieved to date and expand further in the future.
As General Chair of the UAE GSRC’s and chair of its Steering Committee, it is indeed a great pleasure to welcome you all to the 2023 UAE Graduate Students Research Conference. Khalifa University is proud to have the United Arab Emirates University, American University of Sharjah, University of Sharjah, New York University Abu Dhabi, Mohammed Bin Zayed University of Artificial Intelligence, British University in Dubai, Abu Dhabi University, and Ajman University as co-organizers of the UAE GSRC 2023. The conference aims to provide opportunities for graduate students to share their research work amongst themselves, faculty and the community. We are also proud that Khalifa University is organizing this event for the fifth time since GSRC was first organized in 2015.
DR. ARIF SULTAN AL HAMMADI Executive Vice President, Khalifa University
Since then, the UAE GSRC has established itself as an exciting multidisciplinary academic event that offers a platform to share the research being conducted at universities across the UAE, and their international partners. For graduate students, the UAE GSRC provides an avenue to showcase their scholarly research work and innovative ideas in various fields of knowledge. This is the 8th year of the UAE GSRC and we are pleased that graduate students from Sultan Qaboos University and University of Bahrain are contributing and participating in the conference.
We are very pleased to point out that this year 760 research papers were submitted, and reviewed independently by faculty from the participating universities. The technical program committee recommended accepting a total of 611 research papers of which 284 for oral and 327 for poster presentation at the 2023 UAE GSRC.
Nearly 79% of the research papers came from students in the ‘Engineering and Physical Sciences’ track, 9% from the ‘Arts, Humanities & Social Sciences’ track, 7% from ‘Clinical, Pre-Clinical, Health & Life Sciences’ track, and 5% from the ‘Business & Management’ track. The conference will select the best papers for awards across the various tracks as is the practice we follow every year.
The success of this conference is attributed to those individuals who have worked hard to ensure smooth operations before and during the event. Hence, we would like to thank the members of the Steering Committee, Organizing Committee, and Technical Program.
Have a fruitful and exciting conference, Thank you,
Dr. Arif Sultan Al Hammadi Executive Vice President, Khalifa University UAE GSRC 2023 General & Steering Committee Chair
On behalf of Khalifa University, I am honored and delighted to welcome you to 2023 UAE Graduate Students Research Conference (GSRC) 2023. Since its start in 2015, the UAE GSRC continues to offer an exciting forum for graduate students across all disciplines the opportunity to showcase the results and innovative ideas from their research. In addition to the multidisciplinary nature of the conference, it provides a valuable opportunity for students to network, develop ideas and explore venues for collaborative research.
Khalifa University organized and hosted GSRC in 2015, 2017, 2021 (virtually) and 2022. Khalifa University is proud to have the United Arab Emirates University, American University of Sharjah, University of Sharjah, New York University Abu Dhabi, Mohammed Bin Zayed University of Artificial Intelligence, British University in Dubai, Abu Dhabi University, and Ajman University as coorganizers of the UAE GSRC 2023. We are confident that you will find the rich program of oral and poster technical presentations rewarding and enjoyable.
The UAE GSRC 2023 attracted 760 paper submissions that cover all the thematic fields, namely Arts, Humanities and Social Sciences, Business and Management, Clinical, Pre-Clinical, Health and Life Sciences, and Engineering, Information Technology and Physical Sciences. I would like to thank all 1295 authors from all the participating universities who submitted their papers to the conference. The submitted papers are from all the universities in the UAE who are represented on the GSRC committees. And this year, we are pleased to have contributions and presentations from graduate students from Sultan Qaboos University and University of Bahrain.
The technical program of the UAE GSRC 2023 includes 611 presentations of which 284 are oral and 327 posters. The oral presentations are organized in 48 sessions under 8 parallel tracks. The poster presentations are organized in 12 sessions. The accepted papers are split among the conference major thematic tracks as follows: Engineering, Information Technology and Physical Sciences (496), Arts, Humanities and Social Sciences (51), Clinical, Pre-Clinical, Health and Life Sciences (42), and Business and Management (22).
This year, as was the case last year, all the session chairs are graduate students who are presenting papers at the conference. This will give most of them the experience of chairing a session at a conference for the first time.
I would like to thank all members of the Steering, Organizing and Technical Program committees for their dedication and support throughout the preparation for GSRC 2023. Special thanks to the 277 technical reviewers who worked diligently in reviewing the submitted papers and hence helped produce a rich program.
Finally, I hope that your participation in the conference will be enjoyable and rewarding.
Dr. Mahmoud Al-Qutayri Associate Provost, Khalifa University GSRC 2023 Organizing & Technical Committee Chair
Dr. Arif Al-Hammadi, Khalifa University, (Chair)
Dr. Mohammed Al-Mualla, Ministry of Education
Dr. Mahmoud Al-Qutayri, Khalifa University
Dr. Ali Al-Marzouqi, United Arab Emirates University
Dr. Mohamed El-Tarhuni, American University of Sharjah
Dr. Rafat El-Awady, University of Sharjah
Dr. Carol Genetti, New York University-Abu Dhabi
Dr. Gaelle Picherit-Duthler, Zayed University
Dr. Khalid Al Marri, British University in Dubai
Dr. Wathiq Mansoor, University of Dubai
Dr. Kosmas Pavlopoulos, Sorbonne University Abu Dhabi
Dr. Evan Paleologos, Abu Dhabi University
Dr. Kamran Arshad, Ajman University
Dr. Hanan Al Darmaki, Mohammed bin Zayed University of AI
Dr. Stephen Wilkinson, University of Wollongong in Dubai
Dr. Mahmoud Al-Qutayri, Khalifa University, (Chair)
Dr. Ali Al-Marzouqi, United Arab Emirates University
Dr. Mohamed El-Tarhuni, American University of Sharjah
Dr. Rafat El-Awady, University of Sharjah
Dr. Carol Genetti, New York University-Abu Dhabi
Dr. Gaelle Picherit-Duthler, Zayed University
Dr. Khalid Al Marri, British University in Dubai
Dr. Wathiq Mansoor, University of Dubai
Dr. Kosmas Pavlopoulos, Sorbonne University Abu Dhabi
Dr. Evan Paleologos, Abu Dhabi University
Dr. Kamran Arshad, Ajman University
Dr. Hanan Al Darmaki, Mohammed bin Zayed University of AI
Dr. Stephen Wilkinson, University of Wollongong in Dubai
UAE Graduate Students Research Conference (GSRC) 2023
GSRC 2023 PROGRAM (DAY 1 : 19 MARCH 2023)
SUNDAY, MARCH 19
Registration & Setup
Opening Session
Welcome Remarks
• Dr. Arif S. Al-Hammadi, Executive Vice President, Khalifa University
UAE GSRC General & Steering Committee Chair
Dr. Mahmoud Al-Qutayri, Associate Provost, Khalifa University
UAE GSRC Organizing & Technical Committee Chair
Keynote Address
H.E. Salem Butti Salem Al Qubaisi, Director General - UAE Space Agency
Keynote Address
H.E. Ahmed Fikri, Director General of Executive Affairs at Abu Dhabi Executive Office
Panel Session 1: Data Science Powering the Knowledge Economy
Prof. Marcos Lopez De Prado, Global Head - Quantitative R&D, ADIA/Moderator
Prof. Stephane Gaiffas, Quantitative R&D Lead, ADIA
Dr. Emanuele Olivetti, Quantitative R&D Lead, ADIA
Prof. Horst Simon, Director of ADIA Lab
Prof. Alexander Lipton, Global Head, Quantitative R&D, ADIA
EPS-D1-S1: Artificial Intelligence
EPS-D1-S1: Aerospace Engineering
COFFEE BREAK
TECHNICAL PAPERS SESSION 1 (ORAL & POSTER)
EPS-D1-S1: Chemical Engineering
CHS-D1-S1: Cancer and Oncology
EPS-D1-S1: Mechanical Engineering
POSTER-D1-S1-A: POSTER SESSION - 1A
POSTER-D1-S1-B: POSTER SESSION - 1B
LUNCH
EPS-D1-S1: Mathematics & Statistics
Panel Session 2: The Role and Impact of Doctoral Degree Holders in Society and on Economy
EPS-D1-S1: Chemistry
AHS-D1-S1: Education
16:00-17:30 16:00-16:45
16:45-17:30
Prof. Carol Genetti, Vice Provost for Graduate and Postdoctoral Programs, NYU Abu Dhabi/Moderator
Prof. Bayan Sharif, Provost, Khalifa University
• Prof. Sehamuddin Galadari, Senior Vice Provost of Research, New York University Abu Dhabi
• Prof. Ali Al Marzouqi, Dean of Graduate Studies, UAE University
• Prof. Mohamed El Tarhuni, Vice Provost for Research and Graduate Studies, American University of Sharjah
PAPERS SESSION 2 (ORAL & POSTER)
EPS-D1-S2: Electrical & Electronic Engineering
EPS-D1-S2: Civil Engineering
EPS-D1-S2: Chemical Engineering
CHS-D1-S2: Immunology, Diabetes & Cardiovascular Disease
EPS-D1-S2: Materials Science & Engineering
EPS-D1-S2: Industrial Engineering
POSTER-D1-S2-A: POSTER SESSION - 2A
POSTER-D1-S2-B: POSTER SESSION - 2B
COFFEE BREAK
TECHNICAL PAPERS SESSION 3 (ORAL & POSTER)
EPS-D1-S2: Earth Science & Petroleum Geoscience
EPS-D1-S2: Physics & Planetary Science
EPS-D1-S3: Computer & Information Sciences
EPS-D1-S3: Environmental Engineering & Sustainability
EPS-D1-S3: Chemical Engineering
EPS-D1-S3: Biomedical Engineering
EPS-D1-S3: Petroleum Engineering
BAM-D1-S3: Business and Management
POSTER-D1-S3-A: POSTER SESSION - 3A
POSTER-D1-S3-B: POSTER SESSION - 3B
EPS-D1-S3: Geology
AHS-D1-S3: Other Topics in AHS
UAE Graduate Students Research Conference (GSRC) 2023
GSRC 2023 PROGRAM (DAY 2: 20 MARCH 2023)
Registration & Setup
Keynote Address
• H.E. Sarah Al Amiri, Minister of State for Public Education and Advanced Technology and Chair of the Board of Directors of the Emirates Schools Establishment
Keynote Address
H.E. Faisal Al Bannai, Secretary General, Advanced Technology Research Council (ATRC)
Keynote Address
H.E. Dr. Mohammed Al Mualla, Undersecretary for Academic Affairs at Ministry of Education
Keynote Address
• H.E. Badr Al-Olama, Executive Director, Mubadala
EPS-D2-S1: Electrical & Electronic Engineering
EPS-D2-S1: Aerospace Engineering
TECHNICAL PAPERS SESSION 1 (ORAL & POSTER)
EPS-D2-S1: Biomedical Engineering
EPS-D2-S1: Chemical Engineering
EPS-D2-S1: Computer & Information Sciences
POSTER-D2-S1-A: POSTER SESSION - 1A
POSTER-D2-S1-B: POSTER SESSION - 1B
Panel Session 3 - Mufakiru Al Emarat Navigating the Path to Sustainability: Perspectives from Diverse Disciplines
• Dr. Fahad Almaskari, Khalifa University/ Moderator
• Dr. Fahad Alyafei, Chief Technology Office, Siemens Energy
EPS-D2-S1: Materials Science & Engineering
EPS-D2-S1: Mechanical & Nuclear Engineering
• Dr. Hamad Al Jassmi, Director of Emirates Center for Mobility Research at UAE University Dr. Maryam Rashed AlShehhi, Civil Infrastructure and Environmental Engineering, Khalifa University
Dr. Jamal Alsawalhi, Electrical Engineering and Computer Science, Khalifa University
TECHNICAL PAPERS SESSION 2 (ORAL & POSTER)
EPS-D2-S1: Other topics in Clinical, Pre-Clinical & Health
EPS-D2-S2: Electrical & Electronic Engineering
15:30-15:45
15:45-17:15
15:45-16:30 17:15-17:30
EPS-D2-S3:
Communication, Electrical & Electronic Engineering
EPS-D2-S2: Mechanical Engineering & Materials Science
EPS-D2-S2: Biomedical Engineering
EPS-D2-S2: Chemical Engineering
EPS-D2-S2: Cybersecurity & Data Science
POSTER-D2-S2-A: POSTER SESSION - 2A
POSTER-D2-S2-A: POSTER SESSION - 2B
EPS-D2-S2: Industrial Engineering, Business & Management
EPS-D2-S2: Mechanical Engineering
EPS-D2-S2: Biology & Other Topics in Life Sciences
EPS-D2-S3: Chemistry
TECHNICAL PAPERS SESSION 3 (ORAL & POSTER)
EPS-D2-S3: Civil Engineering & Urban Studies
EPS-D2-S3: Chemical Engineering
EPS-D2-S3: Robotics, Mechatronics & Automation
POSTER-D2-S3-A: POSTER SESSION - 3A
EPS-D2-S3: Water, Environment & Sustainability
EPS-D2-S3: Mechanical Engineering
EPS-D2-S3: Physics
SUNDAY, MARCH 19
8:00 - 9:00
Registration and Setup
Room: Ballroom 3&4
9:00 - 9:15
Opening Session
• Dr. Arif Sultan Al Hammadi, Executive Vice President, Khalifa University, UAE GSRC General & Steering Committee Chair
• Dr. Mahmoud Al-Qutayri, Associate Provost, Khalifa University GSRC Organizing & Technical Committee Chair
Room: Ballroom 3&4
9:15 - 9:45
Keynote Address
• H.E. Salem Butti Salem Al Qubaisi, Director General - UAE Space Agency Room: Ballroom 3&4
9:45 - 10:00
Keynote Address
• H.E. Ahmed Fikri, Director General of Executive Affairs at Abu Dhabi Executive Office Room: Ballroom 3&4
10:00 - 10:45
Panel Session 1: Data Science Powering the Knowledge Economy
• Prof. Marcos Lopez De Prado, Global Head - Quantitative R&D, ADIA/Moderator
• Prof. Stephane Gaiffas, Quantitative R&D Lead, ADIA
• Dr. Emanuele Olivetti, Quantitative R&D Lead, ADIA
• Prof. Horst Simon, Director of ADIA Lab
• Prof. Alexander Lipton, Global Head, Quantitative R&D, ADIA
Room: Ballroom 3&4
10:45 - 11:00
Coffee Break - Morning Room: Ballroom 3&4
11:00 - 12:30
AHS-D1-S1: Education
Arts, Humanities & Social Sciences
Room 8
Chairs: Ranya El El-Haddad (The British University in Dubai, United Arab Emirates), Noor H. Sherazi (American University of Sharjah, United Arab Emirates)
Jocelle Marianne Muñoz Barican (UAEU & Emirates School Establishment, United Arab Emirates)
The research investigates the schoolteachers' perspectives on the use of online PBL in English classes during the pandemic. This explores the teachers' perceived benefits and challenges of PBL. The findings show that teachers find PBL as a successful approach that improves students' English language and 21st century skills, encourages independent learning and authentic learning opportunities, and promotes a student-centered environment that allows students to co-construct knowledge, express opinions, and make decisions. However, the teachers reported the following challenges: time-constraints, overloaded curriculum, technical issues, and monitoring students' progress. The findings suggest to integrate PBL lessons in the curriculum and to encourage teachers to use teaching strategies that accommodate a student-centered PBL environment. There is a need to develop students' computer skills and digital literacy to help them thrive in an online learning context. The findings recommend conducting further research on the actual implementation of the PBL approach in different learning contexts.
Noor H. Sherazi (American University of Sharjah, United Arab Emirates)
A linguistic landscape (LL) consists of the visible instances of language in public spaces. LL studies investigate linguistic hierarchies and have pedagogical applications. As far as I am aware, there are currently no identified studies that look at the LL of educational spaces in the UAE. In this paper, I propose a study of the linguistic landscapes of UAE L2 classrooms to understand their role in linguistic hierarchies and their impact on students. The study will analyze images from the LL of L2 classrooms to understand their contribution to society's language power dynamics. A survey will be distributed to students to better understand the relationship between the LL and students' identity, language learning, and multilingual tolerance. The study will have pedagogical applications centering on bilingual education, collaborative LL creation, and explicit LL instruction for improving L2 learning.
Manal Khalifa Salim Al Hattali (Sultan Qaboos University, Oman); Raya Ahmed ALyazeedi (SQU & Muscat, Oman)
11:45 Impact of leadership on staff development and school improvement: A systematic literature review
Majd Adnan Khantomani (British University in Dubai, United Arab Emirates)
The main aim of the research is to study the different leadership theories for staff development in the educational sector, and to recommend possible best practices to enhance the process of staff development to improve schools. A systematic literature review was conducted to answer the research question (what is the impact of leadership on staff development and school improvement?) Unambiguous approaches are used to systematically identify, select, and assess acceptable research, as well as to analyze the included data to answer a research question, according to a systematic literature review (Moher et al., 2009). This study finding can be utilized for other findings that could be useful in implementing educational improvements.
12:00 Inclusion in Egypt between Laws and Implementation A Critique
Ranya El El-Haddad and Abdulai Abukari (The British University in Dubai, United Arab Emirates) Inclusive Education is a very old concept in countries with old civilizations such as Egypt as it included girls in academic education before any other country in the area. By doing this, the Egyptian system faced lots of social and cultural challenges, yet it was a revolutionary act that no one could suppress. Due to different social and cultural difficulties, Egypt is not implementing the concept of "Inclusive Education" to the utmost. In modern Egypt, although there are rules that grant students with special educational needs the right to education, these laws are not fully implemented due to social, cultural, and economic factors.
Aisha Musabah AL-Balushi (Sultan Qaboos University, Oman)
The purpose of this study was to investigate the perceptions of Omani Cycle One Teachers regarding pre-service and in-service training programs that they have received in handwriting instruction. In addition, the study spotted the lights on the practices and strategies used by cycle1 teachers when teaching handwriting and the challenges they faced with regard to this issue. A questionnaire was administered to 27 teachers from AL-Batinah North Governorate. Besides, observations and semi-structured interviews were conducted. The results indicated that, handwriting instruction is valued by cycle1 teachers. However, they had negative perceptions toward the pre-service and in-service training as there was a lack of training and there is a need for argent teachers' training. Also, the results revealed that teachers often use some handwriting strategies in their classrooms. They, also share similar challenges in teaching handwriting. Various recommendations were discussed including training cycle1 teachers to use some handwriting strategies in classrooms.
11:00 - 12:30
MARCH 19
CHS-D1-S1: Cancer and Oncology
Clinical, Pre-Clinical, Health & Life Sciences
Room 4
Chairs: Isra Abdelwahab (American University of Sharjah, United Arab Emirates), Farah Nasser Almahrook (UAEU, United Arab Emirates)
11:00 Evaluation of the Performance of Breast Cancer Targeted Nanocarriers Triggered by High Frequency Ultrasound and Microbubbles
Waad Abuwatfa and Shabana Anjum (American University of Sharjah, United Arab Emirates); Ghaleb Husseini (AUS, United Arab Emirates)
This study investigated the performance of stealth HER2-targeted liposomes, loaded with antineoplastic agent doxorubicin (DOX), and triggered by high frequency ultrasound (HFUS) and microbubbles. The size and polydispersity index of the liposomes were determined using dynamic light scattering (DLS). Moreover, the total phospholipid content was estimated using the Stewart assay, and the ligand attachment was confirmed by the bicinchoninic acid (BCA) assay. In vitro uptake and cytotoxicity were assessed on the HER2+ overexpressing HCC1954 cell line. Also, release kinetics and profiles were obtained upon sonication of the formulation at 1 MHz frequency and 2.4 W/cm2 power density.
Isra Abdelwahab and Rana Sabouni (American University of Sharjah, United Arab Emirates)
In this work, we investigate the potential of using MIL-53(Al) for the first time as a light-responsive nanocarrier for the controlled delivery of doxorubicin and examine its encapsulation efficiencies and release profiles at 5.3 pH with and without near-infrared (NIR) light irradiation. When the MIL-53 (Al) sample was irradiated with 808 nm near-infrared light, it was found that it released four times more doxorubicin than the control sample. The investigated MOF was characterized by scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), and powder X-ray diffraction (XRD), before and after drug loading.
Farah Nasser Almahrook, Elbara Fathelrahman Ali, Alia Al-Bawardi and Maria J Fernandez Cabezudo (UAEU, United Arab Emirates); Basel Ramadi (UAE University, United Arab Emirates) Cancer treatment is a big challenge especially when associated with metastasis. Moreover, the importance of using combination therapy is increasing, especially for highly invasive, drug-resistant cancer types, such as triple negative breast cancer (TNBC). Ambrisentan, a selective antagonist of the endothelin type A receptor (ETAR) was previously shown to reduce metastasis of TNBC in a preclinical tumor model when used prophylactically. In the current study, we investigated the therapeutic potential of Ambrisentan, given as monotherapy or in combination with Paclitaxel, on TNBC. The data show that oral dosing with Ambrisentan had led to a significant retardation in tumor growth and metastasis. Moreover, combining Ambrisentan with a suboptimal dose of Paclitaxel resulted in a significant enhancement in treatment outcome in a preclinical model of TNBC. These findings provide a scientific rationale for further investigations aimed at understanding the precise mechanisms underlying the effect of ETAR antagonists in cancer therapy.
11:45 Optimization of High-frequency Ultrasound Parameters for the Microbubble-mediated Release of Curcumin from nanoliposomes and Cytotoxicity Studies on the Breast Cancer Cell Line HCC 1954
Remya Radha and Vinod Paul (American University of Sharjah, United Arab Emirates); Ghaleb Husseini (AUS, United Arab Emirates)
Improving the effectiveness of chemotherapy remains a key challenge in cancer treatment, considering the low bioavailability, high cytotoxicity, and undesirable side effects of clinical drugs. In this context, the growing interest in Curcumin is highly noted as a promising antitumor drug considering the wide range of bioactivities and therapeutic properties against various tumors. Conversely, the clinical efficacy of Curcumin is limited because of poor oral bioavailability, low water solubility, and instability in gastrointestinal fluids and pH conditions. Drug-delivery vehicles like liposomes and nanoparticles with microbubbles and ultrasound-mediated sustained release are currently being explored as effective delivery modes in such cases. This study aimed to synthesize and study the properties of curcumin liposomes (CLs) and optimize the conditions of high-frequency ultrasound release parameters for treating human breast cancer cell lines by analyzing in-vitro studies on cell viability and cytotoxicity on HCC 1954 through MTT assay.
12:00 MLH1 Promotes Cytoprotective Nucleophagy to Resist Cytotoxic
Shaista Manzoor (University of Sharjah, United Arab Emirates)
Colorectal cancer (CRC) with Microsatellite instability (MSI) characterized by mutLhomolog-1 (MLH1) deficiency are less aggressive than MLH1-proficient cancers. We aimed to investigate the interaction between MLH1 and the autophagy marker LC3, which facilitated nucleophagy induction, and its potential role in determining sensitivity to 5-Fluorouracil (5-FU) induced cell death. We observed that MLH1 proficient cells were less sensitive to the 5-FU-induced cytotoxic effect. The 5-FU induced DNA damage led to LC3 up-regulation, which depended on MLH1 expression. Consequently, MLH1-dependent 5-FU-induced DNA damage contributed to the formation of micronuclei. These novel data are the first to show an essential role of MLH1 in mediating the chemoresistance and survival of cancer cells by increasing the LC3 expression and inducing nucleophagy in 5-FU treated CRC cells.
Moustafa Mahmoud, Wafaa SH Ramadan and Varsha Menon (University of Sharjah, United Arab Emirates)
The DNA topoisomerase I enzyme is essential to cell function, it performs functions related to the maintenance of DNA topology during DNA transactions. Inhibitors of topoisomerase I (Top I) have been proven to be an effective chemotherapeutic treatment for a vast number of cancer patients. Top I inhibitors either act to stabilize topoisomerase cleavage complexes (termed poisons) or otherwise inhibit enzyme catalysis (termed catalytic inhibitors), both leading eventually to apoptotic cell death. The inhibitors used clinically are the poisons topotecan and irinotecan, which are camptothecin derivatives used for several cancers. However, due to several restrictions exhibited by them; the development of new Top I inhibitors is highly recommended to minimize the their drawbacks. Herein, we highlight our discovery and biological evaluation of novel camptothecin analogues as Top I inhibitors with comparable efficacy and safety profiles to the marketed Top I inhibitors.
11:00 - 12:30
EPS-D1-S1: Aerospace Engineering Engineering, Information Technology & Physical Sciences
Room 2
Chairs: Mariam Al-Dhaheri (Khalifa University of Science and Technology, United Arab Emirates), Abdallah Alansaari (Khalifa University, United Arab Emirates)
11:00 Aeroelastic effects of 2D and 3D flow aerodynamics on a low-aspect-ratio wing
Zawar Haider (Khalifa University of Science and Technology, United Arab Emirates); Rafic Ajaj (Khalifa University, United Arab Emirates)
This paper involves an investigation of the ability of two aerodynamic models, one considering 2D effects only and the other one incorporating 3D flow effects, to accurately predict the aeroelastic properties in incompressible subsonic flow on a low-aspect-ratio wing. Theodorsen’s unsteady aerodynamic model is used in the former case, whereas Doublet-Lattice Method is used in the latter. The 2D aerodynamic models are constructed using strip theory and the 3D case is solved using an NX Nastran solver. It is shown that Theodorsen’s 2D aerodynamic model possesses inadequate accuracy in the determination of aeroelastic flutter for low-aspect-ratio wings. The Doublet lattice method exhibited a higher flutter point due to a decrease in wing effectiveness owing to 3D flow effects. Lastly, it is shown that by determination of the lift curve slope through 3D flow modeling and its integration into Theodorsen’s model can significantly increase its accuracy.
Mariam Al-Dhaheri (Khalifa University of Science and Technology, United Arab Emirates); Rehan Umer (Khalifa University, United Arab Emirates); Imad Barsoum (Khalifa University-ADAM Center, United Arab Emirates); Wesley James Cantwell (Khalifa University of Science and Technology, United Arab Emirates) Thermoplastic composites are extensively used in different applications in the aerospace and automotive industries. Understanding the effect of the consolidation parameters, used in the thermoforming manufacturing process, on crystallinity degree, mechanical properties and relaxation behaviour is crucial for manufacturing and process engineers. This knowledge helps manufacturing structures with tailored mechanical properties. Based on the achieved results, it was found that increasing the hold-time at the resin melt state promotes transcrystallinity that enhances the interfacial bonding between fibre and matrix and increasing the melt temperature can initiate the secondary crystallization mechanism that enhances the storage modulus as well. The relaxation modulus was found to fit two pairs of Prony series accurately to predict the relaxation behaviour of CF/PEKK samples consolidated in the temperature range between 350°C and 400°C and at hold-times between 15min-120min.
Nedal Lehlooh and Hongxia Li (Khalifa University of Science and Technology, United Arab Emirates); Tiejun Zhang and Sean Swei (Khalifa University, United Arab Emirates)
Large space structures are taking a major part of future space missions and visions. A relative robot with a construction building block collaborate to provide a viable solution to overcome construction obstacles of ultra-large space structures. Free-free large space structure exhibits a continuous spatial deformation, which impacts the construction reliability, speed, and structure functionality. In this work aiming for lightweight, high specific stiffness, and excellent compact efficiency, we propose a novel robust building block inspired by deep sea glass sponges. This work analyses the sponge’s skeletal mechanical enhancement for 3D building block. two building blocks simple cube and cube- octahedron (Simple voxel) are evaluated through combination of finite element simulations and mechanical tests. Building blocks are fabricated via micro-3D printing with up to 50micron. numerical analysis (using ABAQUS) is used to assess stiffness as well as specific stiffness performance for various building block designs.
Marwan M Gomaa and Roberto Sabatini (Khalifa University of Science and Technology, United Arab Emirates); Alessandro G. M. Gardi (Khalifa University, United Arab Emirates & RMIT University, Australia)
The emergence of Urban Air Mobility (UAM) and Unmanned Aircraft System (UAS) Traffic Management (UTM) dictates stringent requirements for both manned and unmanned aircraft to autonomously handle separation assurance and collision avoidance tasks, resolving any potential conflict between multiple platforms in a dense low-level airspace. Cooperative and non-cooperative Sense-and-Avoid (SAA) systems are in continuous development both to maximise performance and meet certification requirements. Environmental phenomena have important effects on the performance of such systems, which must be properly modelled and accounted for in the design, testing, and certification of future systems. In this paper, we incorporate the effect of wake vortex turbulence into a generic SAA system design, adopting a unified analytical approach. The wake turbulence hazard model is constructed based on the encounter characteristics (geometry, aircraft categories, etc.)., This model is used to generate appropriate inflations to the avoidance volume, which encapsulates navigation/tracking uncertainties and all relevant environmental effects.
Anees B Peringal and Mohamad Chehadeh (Khalifa University, United Arab Emirates); Rana Azzam (Khalifa University Center for Autonomous Rototics, United Arab Emirates); Igor Boiko (Khalifa University, United Arab Emirates); Yahya Zweiri (Khalifa University of Science and Technology, United Arab Emirates)
Recent advances in the development of unmanned aerial vehicles (UAVs) have unlocked their potential for applications where safety and reliability are fundamental, particularly in the presence of unforeseen uncertainties. A significant challenge in the usage of UAVs in urban environments is the changes in aerodynamics at close proximity to urban structures. Literature reports a 60\% change in the pitch moment on the UAV as it passes over a building. The changes in the aerodynamics of the UAV can be measured in real-time using relay-based testing of the UAV system. The proposed method is tested in simulation to show high accuracy of the identified parameters. The proposed method can allow for better and safer transportation of unmanned vehicles in urban environments.
Abdallah Alansaari, Igor Boiko and Sean Swei (Khalifa University, United Arab Emirates)
The paper studies the stability of a nonlinear variable structure controller for controlling the attitude of a satellite. This controller is unique in that it does not produce a sliding mode, which eliminates the issue of chattering, making it more practical to use. The present work explains how the controller works in detail and analyzes its stability for a second-order satellite model.
11:00 - 12:30
EPS-D1-S1: Artificial Intelligence Engineering, Information Technology & Physical Sciences
Room 1
Chairs: Sara Arif Alzaabi (Khalifa University, United Arab Emirates), Roberto Alejandro Gutierrez Guillen (Mohamed Bin Zayed University of Artificial Intelligence, United Arab Emirates)
11:00 Face Recognition in Aerial Images Survey
Mohamad Alansari and Naoufel Werghi (Khalifa University, United Arab Emirates)
In this paper, we evaluate the performance of state-of-the-art face recognition models on a dronebased facial recognition benchmark to show the performance change when the deep learning models are now used in an unconstrained environment. The results show that there is almost 50% performance drop when compared with the nor-mal capture benchmarks.
11:15
Mohammad Hanan Gani (Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), United Arab Emirates); Noor Hussein and Nada Saadi (Mohamed Bin Zayed University of Artificial Intelligence, United Arab Emirates)
Multi-Task Learning is a challenging problem in the field of computer vision. Previous approaches to multi-task learning in convolutional neural networks (CNNs) either found an optimal route for each task in the network or used attention modules to learn task-specific features from a global pool of features. With the paradigm shift towards Transformers, in this paper, we explore the multi task learning property of Vision transformers (ViTs). Specifically we propose to model tasks as learnable tokens inside the ViT and demonstrate that adding task-specific tokens helps transfer useful information between tasks, therefore improving multi-task learning. We evaluate our approach on a multi-task classification dataset and is shown to be effective and agnostic to the number of tasks being learned simultaneously.
Obadah Habash, Shakti Singh and Rabeb Mizouni (Khalifa University, United Arab Emirates); Hadi Otrok (Khalifa University, United Arab Emirates & Concordia University, Canada)
The capacity to examine and identify sources of particular phenomena has become a desideratum for the early prevention of catastrophes. As such, source localization and tracking are of significant importance in many real-world applications, such as surveillance, robotics, and intelligent transportation systems. This paper aims to provide a comprehensive overview of the state-of-the-art techniques to detect, localize, and track multiple moving sources. The paper also categorizes the works found in the existing literature and highlights the differences between each group of approaches in tackling the source localization and tracking tasks.
Nabia Khalid and Mohamed Deriche (Ajman University, United Arab Emirates)
Diabetes is a major public health issue that affects approximately forty million individuals in the United States alone. A frequent side effect of diabetes and a major factor in vision loss and blindness is diabetic retinopathy (DR). In this work, we propose an automatic workflow for identifying DR using deep networks. The proposed model can be used to identify all five types of DR, namely No DR, Mild DR, Moderate DR, Severe DR and Non-Proliferative DR. A novel weighted twin CNN algorithm is presented by fusing pre-trained DenseNet and InceptionV3 networks. The ensemble is obtained by using a weighted sum layer. Our framework was tested on both the APTOS and IDRiD public datasets. A total of 98.43% sensitivity and 88.78% specificity was recorded with a Kappa score and accuracy of 95.8% and 94.3%. The results outperform existing approaches by more than 11%.
Sara Arif Alzaabi and Noor Odeh (Khalifa University, United Arab Emirates); Ibrahim (Abe) M. Elfadel (Khalifa University); Lamees M. Al Qassem (Khalifa University, United Arab Emirates)
This paper presents a preliminary AI system for the automatic generation of SQL queries from Arabic text. The system is based on fine tuning the GPT-3 transformer provided by OpenAI. The training and validation domain of the proposed system is that of a flight booking service. The methodology of the system design is as follows. First, a dataset of prompts and queries was generated to fine-tune the GPT-3 model. The dataset generation used parametrized query templates and home-grown Python code. The GPT-3 model was then tested and checked for overfitting on a new dataset that includes new sentence structures. The accuracy of the model was computed using the Recall-Oriented Understudy for the Gisting Evaluation (ROUGE) metric. The model’s F1-score was evaluated to be 99.99%. Future work will address the use of composite SQL queries and the expansion of the scope of the booking service to include generic travel queries.
Roberto Alejandro Gutierrez Guillen and Nicolas M Cuadrado (Mohamed Bin Zayed University of Artificial Intelligence, United Arab Emirates)
The role of artificial intelligence within the energy sector promises to be crucial to fulfilling the current vision of the future of the electricity grid. In our research, we study the challenges on the demand side, aiming to enable an active role of energy consumers. In specific, we explore the benefits of distributed storage in microgrids and how it can support the reduction of the carbon footprint linked to energy usage. We use reinforcement learning (RL) to learn policies that will manage batteries owned by the householders of a microgrid. Also, to find an optimal pricing mechanism for energy exchanges within and between microgrids. Doing so results in cheaper energy and a minimized carbon footprint. We have tested some of the classic RL approaches for single-agent and multi-agent configurations. We have found that we can reduce price and carbon footprint thanks to the optimal policy in our preliminary experiments.
11:00
Engineering, Information Technology & Physical Sciences
Room 3
Chairs: Mariam Ouda (Khalifa University, United Arab Emirates), Ibrahim Shomope (American University of Sharjah, United Arab Emirates)
Safal Mestri (Khalifa University, United Arab Emirates); Faisal A AlMarzooqi (Khalifa University & Masdar Institute, United Arab Emirates)
Fouling is an inevitable problem in membrane-based desalination process. Mangroves are salttolerant trees, possess unique root structure, known for their special filtration system that can filter approximately 90% Na+ ions from seawater. In this study, inspired from mangroves, commercial nanofiltration (NF) membrane will be functionalized to activate the functional groups and grafted with zwitterionic covalent organic framework (COF) to reduce the membrane fouling. The material characterizations and NF experiments will be conducted to observe the fouling using optical coherent tomography (OCT). The results are expected to show that the anti-fouling layers on the membrane could mitigate the fouling and it will be suitable for effective desalination.
Ibrahim Shomope and Nabil Abdel Jabbar (American University of Sharjah, United Arab Emirates); Ghaleb Husseini (AUS, United Arab Emirates)
The application of machine learning techniques in the field of drug delivery (DDS) has garnered significant attention for the analysis and prediction of drug release profiles and behavior. This study investigates the use of the Random Forest Technique to predict the release of Albumin (ALB)targeted liposomes at different ultrasound power densities of 6.2, 9, and 10 mW/cm2. The most effective drug release prediction was obtained at 9 mW/cm2, with a predictive accuracy of 99.999%. To evaluate the prediction ability of the model, three evaluation parameters were utilized: mean absolute error (MAE), mean squared error (MSE), and the coefficient of determination (R2). The results of the performance evaluation showed that the model had superior performance at 9 mW/cm2 (MAE = 0.02104 and MSE = 0.0007), followed by 10 and 6.2 mW/cm2, respectively.
Mujeeb O. Kareem and Ludovic Dumée (Khalifa University, United Arab Emirates); Enas M. Nashef (Khalifa University, SAN Campus, United Arab Emirates)
Virus capture and deactivation methods with Ionic liquids have been explored among effective environmental remediation methods. Ionic liquids which have superior electric conductivities and capacitance have been found to show infectivity against viruses in aqueous streams. The incorporation of such Ionic liquids into other systems has shown improved virus capture performances. What are the characteristics of ionic liquids that make them antiviral and how effective and useful in the larger scheme of environmental remediation of viruses have these ionic liquids been found to be? These are some of the issues that this brief opinion aims to evaluate.
11:45 Artificial intelligence-based soft sensor model for incinerator in sulfur recovery units to predict SO2 emissions
Muhammed Thameem U. V. (Khalifa University, United Arab Emirates); Abhijeet Raj (IIT Delhi, India); Abdallah Sofiane Berrouk (Khalifa University & SAN Campus, United Arab Emirates); Maguy Abi Jaoude and Ali Al Hammadi (Khalifa University, United Arab Emirates)
Soft sensors are mathematical models that can emulate the behavior of existing sensors based on available measurements. In this work, soft sensor models are developed for the prediction of SO2 emission from Sulfur Recovery Unit (SRU). A reliable predictive model can enhance the overall process control to reduce emission levels. Since SRUs incorporate complex chemical reactions, first-principle models are not suitable to predict emission levels based on a given feed condition. Therefore, artificial intelligence-based models such as standard machine learning (ML) algorithms, feed forward neural networks, long short-term networks (LSTM), Bidirectional LSTM and gated recurrent units (GRU) are proposed and their performance is evaluated. The historical data from SRU was initially explored, filtered and normalized to improve model accuracy. Among the tested models, recurrent neural networks (RNN) showed better performance compared to other models, and among the RNNs, LSTM showed the best performance in terms of Root Mean Squared Error.
Wafa N Bahutair (American University of Sharjah, United Arab Emirates); Ghaleb Husseini (AUS, United Arab Emirates)
Liposomes, a type of nanoscale drug delivery system (DDS), have gained increasing attention for cancer therapy due to their ability to specifically target cancer cells and enhance the therapeutic efficacy of chemotherapy while minimizing toxic side effects. These systems can be modified with targeting ligands, such as folic acid, to improve their affinity for cancer cell receptors, resulting in enhanced cellular uptake and intracellular cytotoxicity. In addition to traditional liposomes, ultrasound-responsive liposomes have also been developed to trigger the release of the encapsulated drug at a specific location using ultrasound as a stimulus. The present study aims to synthesize both control (nontargeted) and folated liposomes encapsulating the model drug calcein to investigate their drug release behavior upon low-frequency ultrasound exposure. The research aims to contribute to the development of more effective cancer treatments with fewer toxic side effects, which can potentially improve the patient’s quality of life.
Mariam Ouda (Khalifa University, United Arab Emirates)
Microplastics (MP) create a threat to freshwater availability as they disrupt the operation of water and wastewater treatment plants. MP result in severe fouling of membrane technologies, such as ultrafiltration. Electrified membranes are suggested as an alternative microplastic fouling mitigation strategy. In this study, PES pellets were sulfonated to create SPES, resulting in enhanced physiochemical properties. Membranes were then fabricated using non-solvent induced phaseinversion, and tested under electric field as a fouling mitigation strategy. Performance tests revealed that MP flux increased by 16% in SPES compared to PES at 0 V. Additionally, the MP flux increased from 22.7 ± 0.9 L/m2.h in PES at 0 V to 34.0 ± 0.9 L/m2.h in SPES at 5 V, which reflects a 49% increase. This study lays basic foundations for this system as a microplastic fouling mitigation strategy, and creates a route for future studies on suitable membrane materials to enhance the system.
Engineering, Information Technology & Physical Sciences
Room 7
Chairs: Abdulmuizz Adamson (UAEU, United Arab Emirates), Nada Adnan Elmerhi (Khalifa University, United Arab Emirates)
Rukayat S Bojesomo and Mirella Elkadi (Khalifa University, United Arab Emirates); Abhijeet Raj (IIT Delhi, India); Mohamed Ibrahim Ali (Khalifa University, United Arab Emirates)
In this study, phosphorus and phosphorus-sulfur co-doped on crude glycerol-based carbon was synthesized via pyrolysis. As a sustainable approach, crude bioglycerol produced from the transesterification of waste canola oil was utilized as the carbon source, elemental sulfur as the sulfur precursor, and phosphoric acid served as the acid dehydrator as well as a phosphorus source. The as-prepared phosphorus-doped carbon shows a remarkable specific capacitance of 381 F/g at 0.5 A/g current density and an energy density of 53 Wh/kg. The co-doped carbon was employed as a support material with palladium for ethanol electro-oxidation and showed comparable properties as an anodic material. These results suggest that crude glycerol-based carbon can be a potentially promising electrode material for energy harvesting and storage applications.
Safa A Abdullah, Dinesh Shetty and Ranjeesh Chandran (Khalifa University, United Arab Emirates) Modern energy storage technology now relies almost exclusively on lithium-ion batteries (LIBs). The key anode components in LIBs have historically been graphitic carbons. However, the structural tunability and lithium intercalation capability of graphite are constrained. In this work, we have developed a new acetylene-linked 2D conjugated pyrene polymer as an efficient anode material for lithium-ion batteries (LIB). Because of the extended conjugation, excellent porosity, π-π staked 2D-layers, and extremely stable hydrocarbon network of the conjugated microporous polymer (CMP) show extraordinary electrochemical performance as an anode material: high capacity (1040 mA h g-1) and high cycling stability (>1000 cycles). This study shed light on a new rational design for synthesizing suitable organic material for future energy storage applications.
11:30 Combined partial oxidation and dry reforming of methane (PO-DRM) on a novel cokeresistant nickel-based mesoporous catalyst
Abdulmuizz Adamson (UAEU, United Arab Emirates); Abbas Khalil (UAE University, United Arab Emirates)
A Ni/γ-Al2O3 catalyst modified with Fe3+ ions in a molar concentration of 3%, well-dispersed in the bulk of the support was prepared and investigated for its anti-coking and catalytic performance in combined partial oxidation and dry reforming of methane (PO-DRM). The Ni modified-alumina catalyst (Ni/AlFe3) was prepared by the sol-gel method. The catalysts were characterized by powder XRD, TGA, Raman spectroscopy, N2-sorption, H2-TPR, and TEM. During the POM-DR reaction, the Ni/ AlFe3 achieved CH4 conversion of around 81%, CO2 conversion of 85%, H2 selectivity of 95%, and H2/ CO ratio of 1.3. The Fe-containing catalyst exhibited a significant enhancement in coking resistance compared to the Fe-free catalyst in the reaction of combined PO-DRM of methane. This is likely due to the role of Fe ions in promoting a redox cycle that leads to oxidation and removal of carbonaceous species improving the stability and efficiency of the catalyst.
Abdulmalik Aminu and Ahsan Ul Haq Qurashi (Khalifa University, United Arab Emirates)
Over the last several decades, ammonia has been essential to the global food security, enabling rapid growth in food production and explosion of the global population. The current industrial method of producing ammonia is the Haber Bosch process, a century old recipe of making ammonia from atmospheric nitrogen and hydrogen generated from hydrocarbon sources. From energy and environment perspective, the Haber process is unsustainable, and efforts of establishing new approaches to ammonia synthesis are gaining momentum. Among such technologies, the electrochemical nitrogen reduction reaction (NRR) is a highly promising way of synthesizing ammonia under energy efficient, green, and ambient conditions. Herein, inspired by the FeV cofactor which is one of the major catalytic active sites for biological nitrogen fixation, we explored the catalytic activity and efficiency of FeVO4 nanoparticles towards NRR. Preliminary results suggest that FeVO4 nanomaterials possess significant activity and selectivity for electrochemical ammonia synthesis at ambient conditions.
Nada Adnan Elmerhi, Dinesh Shetty and Syed Ashraf (Khalifa University, United Arab Emirates)
The successful commercialization of large-scale enzymatic water treatment is contingent upon enzyme immobilization. However, enzyme loading and leaching remain significant challenges for immobilization systems. In this study, we used azacalix[4]arene-based covalent organic polymer (COP) to physically immobilize horseradish peroxidase (HRP). The resultant biocomposite, HRP@ AZ-DFP COP, exhibited high enzyme loading, negligible leaching, exceptional stability, and reusability. Notably, HRP@ACA-COF proved its efficiency as a biocatalyst for the degradation of a broad range of emerging pollutants in water. This enzyme-COP system provides a versatile platform for the development of high-performance biocatalysts, particularly suited to water treatment.
Suleiman Musa and Ahsan Ul Haq Qurashi (Khalifa University, United Arab Emirates)
The global energy crisis and the depletion of significant non-renewable energy sources has prompted the need for renewable sources. Hydrogen from the electrolysis of water showed great potential in this regard. The electrochemical splitting of water involves two reactions, the hydrogen evolution reaction (HER) and the oxygen evolution reaction. Even with the potential possessed by the process to produce green hydrogen, it requires a large amount of energy. Therefore, we reported the synthesis of an OER bimetallic electrocatalyst of Cu and Ni supported on graphene GO. The synergistic effects of these metals showed an enhanced performance of the OER process.
11:00 - 12:30
EPS-D1-S1: Mathematics & Statistics
Engineering, Information Technology & Physical Sciences
Room 6
Chairs: Hajer Ali Ahmed Saeed Alabdouli (The British University in Dubai, United Arab Emirates), Muhammad Ridwan Reza Nugraha (Khalifa University, United Arab Emirates)
Muhammad Luthfi Shahab (Khalifa University & Institut Teknologi Sepuluh Nopember, United Arab Emirates)
We extend the application of machine learning for solving eigenvalue problems of matrix and partial differential equation cases. To deal with these problems, we develop two machine learning approaches together with their architectures and loss functions. In general, the proposed machine learning can be used to solve eigenvalue problems with good results.
Marwa Emad Al Refai (Khalifa University, United Arab Emirates)
The purpose of this paper is to demonstrate that the Alexander polynomials for the class T(n, 2) where n is a positive integer, of torus knots and links, are closely connected to the Chebyshev polynomials. The generalized Chebyshev polynomials T(k, h) of kind k and hyperkind h where k and h are positive integers are introduced, and their connection to Alexander polynomials are investigated.
Muhammad Ridwan Reza Nugraha (Khalifa University, United Arab Emirates)
Recent developments in technology made possible to coordinate a group of automated cars to travel together in a train-like formation, called a platoon. Platooning results in lower energy consumption and a better use of the highway. Forming efficient platoons implies finding an optimal travel schedule and charging schedules for the vehicles. In this paper, we extend existing optimization models for forming efficient platoons on a line-shaped highway to a tree-network highway, while taking into account the charging capacity at the stations along the highway. We present numerical experiments to study the properties of the proposed model.
Hajer Ali Ahmed Saeed Alabdouli (The British University in Dubai, United Arab Emirates)
To improve the utilisation of power plants and enhance production, this study is devoted to predicting the baseload electrical power production of a combined cycle power plant in the UAE. The data for this study was taken from plant sensors over a period of one month (September 2021) from specific sensors installed in the power plant. Accordingly, this paper studies four input variables: ambient temperature (AT), relative humidity (RH), atmospheric pressure (AP), and exhaust steam vacuum (V). All influence the target variable which is power production (P). The analysis includes applying machine learning methods such as linear regression and artificial neural networks (ANNs) to develop a predictive power production model. The linear regression model R-sq value was found to be 53.49%. Moreover, the power linear regression model is ascertained to be more accurate than the ANN power predictive model.
Muhammad Rizki Fadillah (Khalifa University, United Arab Emirates)
The seventh episode of Squid Game, “VIPs”, sees sixteen contestants playing the deadly glass bridge game. Each player has to traverse a pair of bridge with eighteen steps and at each steps they have to choose between two glass, one is strong and the other is weak. Choosing the weak glass leads to their doom. We examine an interesting Markov property of this game and what is the expected number of survivor given the length of the bridge and the number of contestants.
Vinicius Sousa S. Ferreira (Khalifa University & IMPA, United Arab Emirates)
We consider Gaussian fields defined on a compact domain of Rd taking values on an abstract, infinite dimensional Hilbert space. We investigate sufficient conditions that ensure the equivalency in distribution for these type of processes, which is a topic of great interest in Spatial Statistics. The criteria is shown to depend on an integral representation of the difference of their covariance operators. Furthermore, we obtain extensions to the functional case of the classical Bochner’s Theorem and characterization of Hilbert-Schmidt operators in L2 spaces.
11:00 - 12:30
EPS-D1-S1: Mechanical Engineering Engineering, Information Technology & Physical Sciences
Room 5
Chairs: Adriano Cebrian Carcavilla (Khalifa University, United Arab Emirates), Mohamed Zakaria Khatab (Khalifa University, United Arab Emirates)
Muhammad Sajjad (Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates); Mohamed Abdelsalam (Khalifa University, United Arab Emirates); Faisal A AlMarzooqi (Khalifa University & Masdar Institute, United Arab Emirates); Tiejun Zhang (Khalifa University, United Arab Emirates) Porous wicks enable spontaneous liquid transport, which is essential for solar-driven interfacial distillation. Herein, we develop a hybrid approach to study the characteristics of scalable porous nano/ micro-structured titanium wick, including its effective porosity, heterogeneous permeability and effective pore radius. Through direct numerical simulation, the highest permeability and associated pore radius are found to be 32 μm2 and 56 μm respectively. By employing infrared thermal imaging, we evaluate the wickability of nano/microstructured wick by characterizing water propagation through its wetting front. Our experimental results show that the proposed titanium wick exhibits excellent transport performance for high vapor flux generation with a dry-out heat flux of over 100 W/cm2. Our findings show that as-prepared wick promises great potential for solar desalination and brine treatment.
Adriano Cebrian Carcavilla, Wael Zaki and Shrinivas Bojanampati (Khalifa University, United Arab Emirates)
The purpose of this paper is to show results of a detailed evaluation of the printability of additivelymanufactured NiTi samples. A broad range of parameters has been used to print solid NiTi samples. The consideration and evaluation of such a broad range is the novelty of the work, since this has not been reported in the literature up to the point of writing this paper. For the evaluation, roughness measurements have been performed on the top surface of samples. The results show three distinct areas that can be considered for further optimization of the manufacturing process.
11:30 Experimental study of interface stability in a two-phase swirl flow
Ibrahim Moh’d Alsafadi, Afshin Goharzadeh, Mahmoud Meribout and Mohamed AlShehhi (Khalifa University, United Arab Emirates); Lyes Khezzar (Colleague, Algeria)
The aim of this study is to investigate the characteristics of a swirl two-phase flow inside a closed multiphase loop. The main objective is to measure the diameter of the air core at different water and air flowrates and utilize the results for proper inline separation. The results showed that as water flowrate increases, the effects of both water and air flowrates on the air core diameter becomes negligible. This provides with flowrate threshold for which an inline separator becomes viable and efficient.
11:45 Thermal simulation of Friction Lap Welding of Aluminum alloy 5052 and Polypropylene
Abdelrahman I. Hosny (Khalifa University, United Arab Emirates)
Metal-Polymer joints are a viable solution to reduce vehicles’ weight and lower fuel consumption, the benefits of metal’s strength and polymer’s lightweight lead to a high strength-to-weight ratio, however, the joining between such materials is challenging because of their different physical and chemical properties. Friction Stir Welding is applied in this research by applying pressure and heat on the lapped aluminum alloy (AA5052-H23) and Polypropylene (PP), The temperature distribution at the interface is a key parameter in the welding process and it can not be captured by Infrared cameras, so a numerical model was developed using ABAQUS standard to capture the thermal field of the process.
12:00 Performance investigation and energy consumption analysis of DCMD for different models and flow arrangements without spacers and for laminar flow
Mohamed Zakaria Khatab, Mohamed Ibrahim Ali and Hassan Arafat (Khalifa University, United Arab Emirates)
This work aims to perform a spatial analysis of the temperature contours in the flow channels to see the most effective layers in direct contact membrane distillation (DCMD). The temperature distribution - the most important property which creates the difference in partial pressure on the membrane sides - was obtained and analyzed theoretically for five different models by CFD and MATLAB. The results have been validated with theoretical and experimental previous work in literature and showed excellent matching. The results clear that the smaller the thickness is, the better the mass flux and the more energy saving we achieve. This investigation shows up the importance of the spacers in the flow channels in creating turbulence and clears that the most effective layers in feed and permeate channels are the very close sub-layers to the membrane sides.
Fahad N Alotaibi (Khalifa University, United Arab Emirates); Abdallah Sofiane Berrouk (Khalifa University & SAN Campus, United Arab Emirates)
The dry reforming of methane (DRM) is a high-potential solution to reduce CO2 and greatly valorize the world’s hottest commodity, natural gas. In this study, DRM has been simulated in a fluidized-bed reactor using the Multiphase particle-in-cell (MP-PIC) model to investigate the effect of hydrodynamics via a wide range of superficial gas velocities covering a particulate, aggregative, and lean phase flow regimes on bed hydrodynamics, conversion, and yields of product gases while maintaining constant criteria of catalyst loading in all runs. The results agreed with the experimental data and showed that under different gas velocities, conversion is relatively indiscernible in the particulate regime, but in the non-homogenous phases, the turbulent-fluidized-bed has the highest reactor performance and yields due to the vigorous turbulent flow and higher gas-solid contact. On the contrary, bubbling-fluidizedbeds, due to gas bypassing and backmixing triggered by bubble activities, had a poor performance next to the fast-fluidized-bed.
11:00 - 11:45
Poster-D1-S1-A: Poster Session - 1A
All Tracks
Room: Ballroom 3&4
Chairs: Amal Abdulrahim (British University in Dubai - & Ministry of Education, United Arab Emirates), Fares Alawwa (Khalifa University-ADAM Center, United Arab Emirates), Asem Alemam (Khalifa University of Science and Technology, United Arab Emirates)
Nada I. Alhatti (University of Khalifa, United Arab Emirates); Khawlah Athamneh, Syed Ashraf and Gareth Price (Khalifa University, United Arab Emirates)
The contamination of water bodies with emerging pollutants has been linked to severe adverse effects on the aquatic environment and human health. Laccases are oxidoreductase enzymes that have been recently studied as an efficient and green technique for wastewater treatment. In this study, we plan to immobilize laccase enzyme on two different solid supports (chitosan and MIL-125 MOF) and use it to degrade various classes of organic emerging pollutants. As a first step, the stability of free laccase over a range of pH and temperature was examined using ABTS activity assay. The enzyme was fairly active from pH 2 to pH 5 but showed highest activity at pH 3. In addition, the enzyme maintained about 60% of its activity till 40 oC of incubation temperature. The activity gradually decreased with increasing the temperature due to denaturation.
Limonene, a monoterpene mitigates rotenone-induced dopaminergic neurodegeneration by modulating neuroinflammation, Hippo signaling and apoptosis in rats
Lujain Bader Eddin (United Arab Emirates University, United Arab Emirates)
Rotenone (ROT) is a naturally derived pesticide that can induce Parkinson’s disease (PD). Limonene is a monoterpene found in citrus fruits and peels. There is an enormous interest to find a pharmacological agent capable of curing PD. The main aim of this study is to investigate the potential neuroprotective effects of limonene against PD. PD was induced by intraperitoneal injection of ROT (2.5 mg/kg) five days a week for a total of 28 days. The rats were treated with limonene (50 mg/kg, orally) along with intraperitoneal injection of ROT (2.5 mg/kg) for the same duration. ROT induced a significant loss of dopaminergic (DA) neurons. It also enhanced oxidative stress, motor and mitochondrial dysfunction followed by the activation of Hippo signaling and apoptosis. Oral treatment with limonene corrected majority of the biochemical, pathological, and molecular parameters. Our study findings demonstrate the efficacy of limonene in providing protection against ROT-induced neurodegeneration.
Balsam T. Swaidan (Khalifa University & Center for Membrane and Advanced Water Technology, United Arab Emirates); Mohamed Ibrahim Ali (Khalifa University, United Arab Emirates); Rashid Abu Al-Rub (Khalifa University-ADAM Center, United Arab Emirates); Hassan Arafat (Khalifa University, United Arab Emirates)
In this study, a 3D CFD model was developed in order to assess heat and mass transfer performance of a spacer-filled DCMD channel along with the corresponding hydrodynamics and thermal profiles. The performance of a Triply Periodic Minimal Surfaces (TPMS)-based spacer, namely Fischer-Koch, was assessed in DCMD using computational fluid dynamics (CFD) tools, for the first time. Then, the results of Fischer-Koch case were compared with commercial spacer and empty channel cases. Results showed that Fischer-Koch spacer outperformed commercial spacer in terms of permeate flux, but at the expense of higher pressure drop.
Detection of three endocrine disrupting phthalates DMP, DEP and DBP in bottled Camel milk in the UAE
Dina Ashraf (United Arab Emirates University, United Arab Emirates); Mohammed Meetani (UAEU, United Arab Emirates)
Phthalates or esters of phthalic acid are commonly known for their extensive use as plasticizers to promote the mechanical properties of plastics. Since phthalates are not chemically attached to the polymers, they can migrate from food packages and bottles into food and drinks. Phthalates are proven to be of adverse impacts on human health due to their disruption of endocrine system. An analytical method using gas chromatography coupled with mass spectrometry (GC-MS/MS) was developed for determinations of three phthalates (Dimethyl phthalate (DMP), Diethyl phthalate (DEP), Dibutyl phthalate (DBP)) in bottled camel milk samples obtained from the local markets in the UAE. Multiple reaction monitoring (MRM) mode was used for mass spectrometry detection on positive chemical ionization (PCI). Calibration curves with very good linearity were obtained using standard addition method. The analyzed milk sample was found to contain 3.1 ppb of DBP, 0.41 ppb of DMP and 0.25 ppb of DEP.
Ibrahim A Suleman (Khalifa University, United Arab Emirates)
This article discusses the well-posedness of a model of phase transition known as the conserved phase-field system. In particular, unique weak solutions are shown to exist in suitably defined function spaces. The treatment of the conserved phase-field system in this work does not place any restriction on the growth of the nonlinear term which is an improvement on recent works pertaining this specific system.
Mahra Omar Alshehhi (Khalifa University & CECAS Center, United Arab Emirates)
Since the industrial revolution, carbon dioxide (CO2) levels in the atmosphere have continuously increased and this phenomenon adds to global warming. One effective solution is Carbon Capture and Storage (CCS), in particular, CO2 adsorption using mesoporous materials. The current study considers the mesoporous silica synthesis from natural sand which is abundantly available in UAE. Natural sand was collected from the desert in Ras Al Khaimah. EDS analysis showed that the silica content (~17%). Herein, Mobil Composition of Matter No. 41 (MCM-41) was synthesized utilizing sodium silicate and cetyltrimethylammonium bromide (CTAB) as a silica precursor and a surfactant, respectively. Moreover, deep eutectic solvent (DES) will be prepared from the thermal treatment of choline chloride and urea in a molar ratio of 1:2. Subsequently, DES will be functionalized to MCM-41 by a wet-impregnation method. Various impregnation percentages will be carried out to identify the optimum CO2 adsorption capacity.
Nano-porous Carbon-based Electrodes for the Electro-catalytic Reduction of CO2 to Methanol
Abdelrahman Akram Fouda (Khalifa University & RICH Center, United Arab Emirates)
The electrocatalytic reduction of CO2 (CO2ER) gained a lot of attention in the past few decades as a strategy for Carbon Utilization (CU). CO2 reduction creates a pathway in transforming CO2 into numerous carbonaceous products, such as CO, COOH, CHO, CH3OH and CH4. The most difficult challenges associated with CO2 REDUCTION are low current densities, Hydrogen Evolution Reaction (HER), target product selectivity, and thermodynamic constraints favoring the formation of CO, COOH, and CHO. Therefore, synthesizing catalysts with high selectivity towards other CO2ER products is crucial in converting CO2 into a wider range of useful products. In this study, we compare the effect of solvent concentration on the morphology and crystallinity of an HKUST-1 type of catalyst. The rationale to utilize such material relates to their ability in selectively reducing CO2 to methanol with relatively high FE.
A research study on the Teleworking in engineering sectors in UAE
Manea Hamad Alrayssi (BUiD, United Arab Emirates) Organization measures its success by its employee’s performance. It is one of important measurements tools to indicate the efficiency and effectiveness of the corporate system performance. COVID pandemic has forced the world to make new arrangement (remotely working). Engineering and industrial sector forced their employees to implement this work arrangement, which led to disturbing some organization performance. The purpose of this study is to examine how level of autonomy, feedback quality, communication process, Work-Life Interference and communication tools, affected the employee performance in the engineering and industrial sector during remotely working arrangement in COVID pandemic. This research implemented the positivism methodology to study the behavior of the targeted individuals. The findings of this study are useful in indicating that the organizations should still look for work-life balance practices. Likewise, it demonstrates that the employee performance was not affected by level of autonomy, feedback quality, communication process and communication tools.
Eman Yousef Mahmoud (UAE University, United Arab Emirates); Safeya Al Katheeri (UAEU, United Arab Emirates)
This study explored third grade English language teachers’ perceptions on writing practices and challenges prior, during, and post COVID-19 in the UAE. Grade three students received online learning for more than eighteen months within a critical stage for improving basic skills because of the forced Covid-19 lockdown. This qualitative study used a case study design that employed a semi-structured interview with five participants who are grade three English language teachers. The findings revealed that post-Covid writing challenges have significantly increased and remedial procedures have been taken accordingly. Pedagogical implications including curriculum amendment are recommended to mitigate the gap between virtual and face-to-face writing instructions.
Abdulaziz Mohammed Albalooshi, Aziz (Khalifa University, United Arab Emirates)
During the last decade, the UAE has witnessed a marked increase in negative coverage resulting from military engagement during armed conflicts. Many reports are concerned about potential breaches of International Humanitarian Law (IHL) occurring outside the UAE’s territory, but does this coverage warrant the attention of the UAE’s government and a shift in its behavior? To answer this question, this research studies the impact of negative coverage of perceived non-compliance to IHL and how this drives any shifting of a state’s behavior with parties who are taking part in armed conflict. It will contribute to an understanding of why different states seek compliance and demonstrate shifts in behavior with international laws and bodies through two different perspectives, including full compliance by the states involved, and changing attitude to promote compliance.
Jamal Shaheen (Khalifa University of Science and Technology, United Arab Emirates); Banu Sizirici (Khalifa University, United Arab Emirates)
The rise of emerging contaminants within wastewater effluents is becoming a growing concern. The development of efficient and cost-friendly adsorbents such as biochar can aid in the removal of emerging contaminants such as pharmaceuticals from wastewater streams. In this study, the application of biochar derived from date palm frond and leaf were used to remove three widely used pharmaceuticals; atenolol, ibuprofen and sulfamethoxazole. Pyrolysis temperature, pH and dosage were three factors that were varied to observe optimal conditions for removal. It was observed that date palm from biochar pyrolyzed at 600 degrees Celsius was the optimal pyrolysis temperature. Additionally, more acidic solution conditions displayed optimal results (pH of 6 for ATE and 2 for SMX and IBP). Lastly, removal rates of 50%, 75% and 90% were obtained for ATE, IBP and SMX respectively.
Mission Profile Analysis Tool for IGBT Damage in Standalone Microgrid Inverter
Ahmed Refaat Elshamy (Khalifa University of Science and Technology & Zagazig University, United Arab Emirates); Khalifa Hassan Al Hosani, Mohamed Shawky El Moursi and Ameena Al Sumaiti (Khalifa University, United Arab Emirates); Hai Wang (Khalifa University of Science and Technology, United Arab Emirates)
This work shows a tool for assessing the reliability and lifetime of the IGBT of an inverter in a standalone microgrid. This is done by employing electrical and thermal models to identify the stressors affecting the switch at different operating conditions. Simulation results at different operating points (i.e., ambient temperature and solar irradiance) are used to obtain curve fittings for quick electrothermal analysis. Lifetime and damage models can then be applied to estimated accumulated damage.
Eman Ouda (Khalifa University & KU, United Arab Emirates); Mecit Can Emre Simsekler (Khalifa University of Science and Technology, United Arab Emirates); Andrei Sleptchenko (Khalifa University, United Arab Emirates)
Nurse scheduling is a widely studied topic due to its overall effect on patient care and hospital performance. This research focuses on formulating a Mixed Integer Programming (MIP) workforce scheduling model as a nurse rostering problem. The model incorporates multiple objectives of individual nurse preference and qualification. This is approached by categorizing into different hierarchical levels nurses based on their qualifications and positions; Head Nurse, Senior Nurse, Nurse, and Assistant Nurse. Moreover, each nurse’s holiday preferences are accounted for in the model. The proposed MIP model is solved to generate a schedule to meet hospital demand and individual nurse preferences. A MIP solver using Python 3.0 was used to find the optimal solution by cutting planes. Computational results reflected different scenarios and scheduling to fit all hospital environments and demands.
Khadeeja Tul Kubra Mulani, Tarig Ali and Kazi Fattah (American University of Sharjah, United Arab Emirates)
Climate change has brought many challenges in the design field, especially to the urban planners. Let it be planning cities or communities, sustainability has become no choice. Promoting walkability and use of alternate modes of transportation is of high demand. The UAE government has taken numerous measures to enhance the urban infrastructure and transport network of its nation; particularly Dubai. It is important that while we as urban planners promote walkability, we provide the environment for public that encourages them to walk. Al Nuaimiya area is an old district lying between Ajman and Sharjah border with rich heritage, local planting on the bare lands and specifically sabkha soil present due to the area’s closeness to the shore. The micro climate study was conducted in different areas to see the effect of wind and landscape and the environmental conditions that support the study.
Farica P. Putri and Kamal Salih Taha (Khalifa University, United Arab Emirates)
It is challenging for researchers to curate all biomedical literature manually. There have been studies that specifically develop systems that can be utilized to curate literature automatically, accelerating the work of curators using text mining. Gene-disease associations are essential in diagnosing disease, selecting disease prevention strategies, and developing new treatments. Transfer learning is utilized to train the model in order to identify the gene-disease associations from the text. DistilBERT architecture is used because of its lightness. It reduces the size of the model by 40%, while 60% is faster at inference time. In this paper, we retrieved breast cancer data from DisGeNet and performed fine-tuning to the DistilBERT model. The precision, recall, and f1-score of the model are 0.88, 0.89, and 0.88, respectively, showing that the fine-tuned DistilBERT can produce a sufficiently accurate model to extract the relation between gene and disease within a sentence.
Steering hydrodeoxygenation pathway towards biofuel production: The role of transition metal promotors
Sara Alkhoori (Khalifa University, United Arab Emirates)
In this work, transition-metal promoted zeolite beta catalysts are designed to tailor catalytic active sites and investigate hydrodeoxygenation (HDO) product selectivity. Different analytical techniques were employed to get insights into the catalysts’ extrinsic/intrinsic properties including X-ray Diffraction (XRD), X-ray Photoelectron Spectroscopy (XPS), Scanning Electron Microscopy (SEM), High Resolution Transmission Electron Microscopy (HRTEM), Temperature-Programmed Reduction (H2TPR), as well as Temperature programmed desorption of CO2 and NH3 (TPD); Establishing the structure-property correlation was the main focus; some of these significant results are presented herein.
Taimun Qaisar (United Arab Emirates University, United Arab Emirates)
An important source of analysis for the study of dynamical properties and modelings in various fields is quadratic stochastic operator (in short QSO). It is usually used to present the time evolution of differing species in biology. This led to the introduction of many classes of QSO for example (xi^(a))QSO. In this paper we are going to investigate the associativity of genetic algebras generated by (xi^(a))-quadratic stochastic operator and their dynamics.
Najat Maher ALdaqqa and Dinesh Shetty (Khalifa University, United Arab Emirates)
Capacitive deionization (CDI) is a novel method used to treat saline water. The development of a new electrode material with higher salt removal capacity (SAC) is a target of recent research concerning CDI. Metal-organic framework-derived carbons (derived-MOF) are attractive candidates because of their large specific surface areas, high stability, excellent conductivity, and porous morphology. Herein, we have summarized the performance of the most recent works on carbon-derived MOFs for CDI.
Abeer Awadallah (Khalifa University of Science and Technology, United Arab Emirates); Chan Yeun and M. Jamal Zemerly (Khalifa University, United Arab Emirates)
The metaverse is an emerging concept that describes the future internet, which is defined as 3D virtual environments that reflect the physical world. Metaverse users can engage in a variety of immersive experiences via digital avatars. Multiple technologies support the future metaverse, including AR, VR, AI, blockchain, etc. The complexity and innovation of the metaverse calls for concern regarding cybersecurity and privacy risks as cybercriminals tend to exploit vulnerabilities in new technologies. Issues like data privacy and impersonation attacks can arise since it can be difficult to determine the identity behind a digital avatar. As the metaverse is still an emerging topic, limited academic work proposes solutions for such issues. Therefore, the aim of this proposed research is to investigate AI techniques to build a highly secure and robust security system that integrates biometric multimodal and continuous authentication for instant abnormality detection within the metaverse environment
Swati Singh (Masdar City & Khalifa University, United Arab Emirates); Eswara Komarala (Khalifa University, United Arab Emirates); Kyriaki Polychronopoulou (Khalifa University of Science, Technology and Research, United Arab Emirates)
In this work we have prepared catalyst based on metal with LDH derived support. Metal were incorporated in different composition ranging from 0.2 to 20 wt.%. The catalytic behavior of these catalysts was studied for ammonia synthesis along with structural and morphological characterization. Succesful synthesis of the catalyst was observed along with good catalytic activity.
Sabkha and seepage reflux dolomitization across a ramp: the upper Jurassic Arab Formation, Arabian Gulf
Xiaolan Jia (Khalifa University, United Arab Emirates)
It is widely accepted that dolostones of the Upper Jurassic Arab Formation are formed by the evaporative sabkha and seepage reflux dolomitization. The main evidence is the close association between dolomitization and anhydrite precipitation. In this study, a petrographic and geochemical data compilation of dolostones in the Arab Formation from UAE, Saudi Arabia, and Iran are used to discuss the model application. The consistency between isotopic values, Kimmeridgian-Tithonian seawater isotope signatures, preserved peritidal or lagoonal depositional structures, and sedimentary textures support the sabkha and seepage reflux dolomitization model with close association with anhydrite precipitation. The distribution of dolomitization is strongly controlled by sequence stratigraphy as well as depositional facies as the dolostones are more abundant with regression, and compared with the extensive dolomitization in restricted facies during the early stage of regression, the field located in the shoal and outer ramp complex have no evidence of evaporative dolomitization observed.
Fold-and-thrust belt and foreland basin of the United Arab Emirates: Basement morphology and
Ahmed Abdelmaksoud and Mohammed Ali (Khalifa University, United Arab Emirates)
We determined the basement depths in the fold-and-thrust belt (FTB) and the associated foreland basin of the United Arab Emirates, as well as the relation between shallow sedimentary structures and deep basement features. In northern portions, NNW-SSE striking thrusts, backthrusts and folds are present. The southern region is dominated by the Tarabat backthrust and inverted faults. These thrusts possibly resulted from the Zagros collision during the late Oligocene-early Miocene. 3D gravity inversion indicate that the basement depths range from 11.5 km to 18.8 km. Significant northward increases in both basement depth and thickness of the late Oligocene-early Miocene successions indicate a northward increase in the crustal loading along the main thrust. The basement uplifts coincide with shallower anticlinal features, indicating a direct relationship between the two levels and hence indicating reactivation of basement structures during the Zagros collision.
Muzafar Hussain and Rehan Umer (Khalifa University, United Arab Emirates)
Fibre metal laminates (FMLs) are being widely used in the aerospace industry to achieve high strength to weight ratios and higher stiffness. Therefore, in this study, FML was prepared and tested. The FML sample consisted of four layers of Aluminium (0.6 mm thick) and three layers of glass fabric (0.3 mm thick) in the ratio of 1:1. The FML was prepared through hand layup process and an overall thickness of 3.27 mm was achieved. Three-point bending tests and tensile tests were performed in order to determine the flexural and tensile properties of the sample. It was observed that FML samples showed an average flexural strength of 281.775 MPa whereas the average bending modulus was found out to be 41.92 GPa. For tensile tests, the average ultimate tensile strength was found out to be 199.15 MPa and an average Poisson ratio of 0.3108.
Distribution transformers failure prediction using machine learning algorithms
Maitha S Almazrouei (Khalifa University,United Arab Emirates); Maher Maalouf and Andrei Sleptchenko (Khalifa University, United Arab Emirates); Tarek EL-Fouly (Khalifa University of Science and Technology, United Arab Emirates)
Power grids consists of distribution transformers that act as step down transformers to convert high voltage to low voltage required for residential or commercial use. Because of the significant number of distribution transformers in the distribution network, the health of these transformers is crucial to the reliability of these power grids. This paper proposes a methodology for predictive maintenance of distribution transformers using real data collected by Compaia Energética de Occidente. As a result of the transformer’s health prediction, maintenance or replacement might be required. Hence predictive maintenance helps enchases the reliability of power distribution systems and decrease downtime costs. On this research different machine learning (ML) models are employed and comparisons are made between a variety of scenarios using different data scaling and feature selection methods. In addition to the implementation of hyper parameter tuning and resampling technique for more improved results.
Muhammad Fadhil Taufik Darwis (Khalifa University, Indonesia); Bing Zhou (Khalifa University of Science and Technology, Australia)
Ray velocity and slowness vectors are crucial in investigation of propagation and attenuation wavefronts and ray paths of seismic waves in viscoelastic anisotropic media. They should been addressed comprehensively in a complex geological condition of subsurface rocks. However, this stems from the inability of many approaches to deal with the qSV wave. Thus, for the ray velocity calculation, this paper showcases the conjugate real ray tracing with asymmetric matrix conditions, to be compared with the original real ray tracing and former conjugate real raytracing, while the slowness vector is defined based on the travel time-gradient and inhomogeneity-component specifications. From the weak and strong attenuating rocks, we find that the new conjugate real ray-tracing method offers more reliable and accurate solution than others do.
Cloud Computing Technology Adoption: The Impact on MNE’s Financial Performance
Amina Abdulrahim (The British University in Dubai - BUID, United Arab Emirates)
The research aims to investigate the impact of cloud computing technology adoption on financial performance in the context of multinational enterprises (MNEs) using the TechnologyOrganization-Environmental (TOE) framework for technology adoption. The four factors examined in this study are technology availability, resource availability, and regulations support availability to evaluate the impact in addition to the industry as a moderator.
Safia Mohamed and Zaher Al Aghbari (University of Sharjah, United Arab Emirates)
The medical area is one of the most information-rich in today’s world. Databases preserve records of data daily. In order to increase the expertise of specialists, the data mining research zone observes the medical data. The main motive is to find useful patterns and identify relationships. Association Rules Mining (ARM) has algorithms to detect the correlation of patient symptoms, diseases, and tests. The Apriori algorithm is one of the most commonly used among researchers. In this survey paper, the novelty of recent approaches is presented and evaluated.
Damage sensing and functional grading in 3D Octet truss
Omar Waqas Saadi (Khalifa University, United Arab Emirates); Andreas Schiffer (Khalifa University of Science and Technology, United Arab Emirates)
Functionally graded lattice structures are a novel class of architected materials that have recently attracted attention in the research community due to their promising mechanical and functional properties. By introducing a gradient in the unit cell geometry or material composition, the mechanical and functional characteristics of the lattice structure can be tuned to achieve exceptional performance enhancements. This work investigates the mechanical and piezoresistive characteristics of geometrically graded octet lattices processed via Digital Light Processing (DLP) additive manufacturing. Lattice structures of 20% relative density were 3D printed using conductive photocurable nanocomposite resin loaded with 0.05 wt.% of CNT nanofillers, and their mechanical and piezoresistive responses were measured under uniaxial compressive loading.
AbdelAziz AlOwais (British University in Dubai, United Arab Emirates)
The aim of the report is to discuss the willingness of Japan to encourage a sustainable future. The report is intended to recognise the unsustainable activities in Japan and explore the rules and laws introduced by Japan to decrease violations. However, it is identified that differences in temperature can be noted with the alteration in the seasonal wind and changes in ocean currents. Natural disasters like tropical cyclones, which frequently intensify into typhoons and impose the loss of life and property, are a major threat to the nation. Environmentalists believe that the region’s heavy rains are to blame for the climate change that has begun to affect human life in Japan. This is a recent development in the climate of the country.
Guanqun Qiu (Khalifa University, United Arab Emirates); Vinod Khadkikar (Advanced Power and Energy Center (APEC), United Arab Emirates)
The combination of dual active converters (DAB) and silicon carbide (SiC) MOSFETs is widely used due to various advantages. However, the DC bias of the DAB transformer is an important issue that affects its efficiency and reliability. Generally, the reasons for DC bias are summarized as the output distortion of the drive circuit, controller and the inconsistency of the device characteristics due to the manufacturing process. These problems can be solved with the improvement of technology. But the influence of SiC MOSFET’s threshold instability, i.e., threshold voltage drift, on DC bias is ignored. In this study, the influence of threshold instability on DC bias is quantitatively studied through double pulse experiments.
1:45 - 12:30
Poster-D1-S1-B: Poster Session - 1B
All Tracks
Room: Ballroom 3&4
Chairs: Lujain Bader Eddin (United Arab Emirates University, United Arab Emirates), Khadeeja Tul Kubra Mulani (American University of Sharjah, United Arab Emirates), Jamal Shaheen (Khalifa University of Science and Technology, United Arab Emirates)
Salha Yaser Bahayan (Khalifa University of Science and Technology, United Arab Emirates); Tu Phuong Pham Le and Ahmad Al Masri Alwan (Khalifa University, United Arab Emirates); Emad Alhseinat (Professor of Chemical Engineering, United Arab Emirates)
This paper looks into the insights of using an electromagnetic field in the membrane distillation process to understand its effects on water evaporation and removing scales such as CaCO3. Two runs were carried out under the same conditions; one was with EMF on, and another was without EMF. The results showed that the conductivity of the feed keeps on decreasing throughout the 2 h run with the presence of EMF. In contrast, it shows an initial reduction followed by a stabilization in the run without EMF. The total alkalinity and calcium concentration results showed the same trend as conductivity measurement. SEM and XRD analyses illustrated that the scale collected from the run without EMF contains cubic calcite, spherical vaterite, and rod aragonite. Whereas under the effect of EMF, rod aragonite was predominantly present. The results from this study provide a fundamental understanding of the role of EMF in MD application.
Ramanzani Kalule (Khalifa University, United Arab Emirates); Hamid Abderrahmane and Waleed Alameri (Khalifa University of Science and Technology, United Arab Emirates); Mohamed Sassi (Khalifa University, United Arab Emirates)
This study presents a dynamic optimization technique applied to unsteady-state core flooding to estimate relative permeability and capillary pressure function parameters. The proposed technique is based on an optimization algorithm that minimizes a cost function that is composed of a sum of the squares of differences between the experiments and simulated saturation values. The relative permeability and capillary pressure functions are then determined by fitting the estimated parameters to the proposed functions. The proposed technique is validated using experimental data, and the results show that it is capable of accurately estimating the relative permeability and capillary pressure functions
Sani Mukhtar (Khalifa University of Science and Technology, United Arab Emirates); Jaime Viegas (Khalifa University, United Arab Emirates)
The 2D arrays of sub-wavelength scatterers known as the metasurfaces control the wavefront by changing the polarization, phase, intensity, or spectral composition of light. A design of a dielectric metasurface filter based on a MaN-204 nano-pillar on top of an arbitrary generated QR-code is proposed. The proposed filter design achieved a wavelength transmission (>90%) within the spectral band of 400nm - 700nm and is set to be used in our proposed miniaturized 2D Metamaterial based hyperspectral optical imaging system for space application.
Condensation Of Humid Air using Triply Periodic Minimal
Omar Abdelqader (Khalifa University, United Arab Emirates); Rashid Abu Al-Rub (Khalifa UniversityADAM Center, United Arab Emirates); Mohamed Ibrahim Ali (Khalifa University, United Arab Emirates)
Dehumidification is the required process for condensing water vapor from humid and saturated air. Moreover, triply periodic minimal surfaces (TPMS) structures are characterized by their high surface area-to-volume ratio and excellent heat transfer performance. This study investigates the TMPS freshwater production from humid air at different humidity and flow conditions using 3D computational fluid dynamics (CFD) validated models and compares it with vertical wall condensation. Furthermore, the results show that the gyroid structure will increase the condensation flow rate by a maximum factor of 3 and a minimum factor of 1.04 compared with the vertical wall for various humid air conditions.
Hamza Fiaz (Khalifa University, United Arab Emirates); Ali Al Masabai (Solar Power Company, United Arab Emirates); Maryam Rashed AlShehhi (Khalifa University, Civil, Infrastructure and Environmental Engineering & MIT, United Arab Emirates); Tiejun Zhang (Khalifa University, United Arab Emirates)
Spatial reflectivity and cleaning cycle of mirrors are essential for solar energy harvesting in concentrated solar power (CSP) plants. Understanding the relationship between reflectivity and meteorological conditions helps increase the productivity of the CSP plant by taking precautionary measures. This paper aims at CFD simulation of solar fields with a two-phase approach to study the spatial dust distribution for predictive maintenance. Air is considered as a primary phase whereas dust particle is considered as the secondary phase, and the Euler-Lagrange approach is used to solve the gas-particle flow. Our findings indicate that a flow boundary layer developed after power block has caused minimum reflectance loss behind the power block region and maximum reflectance loss ahead of power block region. The proposed simulation approach can be used along with machine learning for predictive maintenance of CSP plants.
Visco-elastic tomography modelling of vertical seismic profile data in carbonate oil field
Seda Rouxel (Khalifa University, United Arab Emirates)
A visco-elastic tomography and full waveform inversion will be applied on a 2D/3D vertical seismic profiling data acquired in a carbonate reservoir. In order to accelerate the inversion convergence and the accuracy of the results, sonic density log and estimated zero-offset attenuation profile will be used as an initial model. This contribution will improve geological interpretation of carbonate media, which dominates Abu Dhabi subsurface.
Fares Alawwa (Khalifa University-ADAM Center, United Arab Emirates); Bashar El-Khasawneh (Khalifa University, United Arab Emirates); Rashid Abu Al-Rub (Khalifa University-ADAM Center, United Arab Emirates); Wael Zaki (Khalifa University, United Arab Emirates)
Cellular materials have been gaining increasing attention in research due to their versatility in the mechanical behavior they deliver. This study attempts to predict the fracture locations using finite element analysis. Samples were printed with PLA plastic using a Prusa i3 MK3S+ 3D printer, and tested using Instron 5969 Universal Testing System. Results show that the finite element analysis tool can highly predict the uniaxial behavior of the lattice and predict the failure mechanism.
Energy absorption of functionally graded FCC structure
Mohamed Abdelmageed Abdelhameed (Khalifa University, United Arab Emirates); Wesley James Cantwell (Khalifa University of Science and Technology, United Arab Emirates)
The use of functionally graded materials has been demonstrated to improve energy absorption. Due to the lack of experimental data on graded face-centered cubic FCC structures, three different linearly graded density schemes of FCC structures were tested under quasi-static compression to evaluate their specific energy absorption (SEA). The schemes included a continuous grading with lower density at the top surface, a symmetric with higher density at the center, and a symmetric with lower density at the center. The samples were made from Nylon using fused deposition modeling and tested against a uniform structure. The results indicated that all of the graded structures performed better than the uniform structure due to increased densification strain. Moreover, the symmetric structure with high density at the center exhibits the highest SEA at a 35% enhancement.
Counterflow Flame State Classification from Visual or Infrared Images via Few-shot learning
Ruiyuan Kang, Panos Liatsis and Dimitrios C. Kyritsis (Khalifa University, United Arab Emirates)
Classical machine learning and deep learning methods have been applied to image-based flame state monitoring successfully but with the drawback that at least thousands of images need to be collected and labeled. In order to address this drawback, a Few-shot learning algorithm, Prototypical Network (PN), is applied to classify counterflow flame states from visual or infrared (IR) images. The work proves the feasibility of training a deep network with a few images to realize flame state classification via Few-shot learning. PN demonstrates lower performance on IR than visual images, but still has excellent performance on all four metrics of Precision, Accuracy, Recall, and F1-score.
Asem Alemam (Khalifa University of Science and Technology, United Arab Emirates); Nicolas Calvet (Khalifa University, United Arab Emirates); Nicolas Ferber (Mechanical Engineering, Khalifa University of Science and Technology, United Arab Emirates); Valerie Eveloy (Khalifa University, United Arab Emirates)
The issue of supply-demand mismatch in renewable energy systems highlights the importance of energy storage systems in microgrids. This study offers an experimental validation of a state-of-the-art full-scale electrical thermal energy storage (ETES) system also called Carnot battery. It includes a high temperature latent heat thermal energy storage connected to a Stirling engine developed by Azelio AB (Sweden) and commercially called TES.POD® (Thermal energy storage power on demand). Based on the experimental data obtained from the TES.POD® system, the input power, output power, and system efficiency are reported over 10 days. Results show that this technology is capable of producing electricity at a constant rate of 10 kW for 13 hours with an average cycle efficiency of 24.3%. The tested system performed well indicating promising potential for latent heat thermal energy storage to be used for long duration energy storage applications.
Divya Velayudhan (Khalifa University, Abu Dhabi, United Arab Emirates); Taimur Hassan and Naoufel Werghi (Khalifa University, United Arab Emirates)
Detection of baggage threats plays a crucial role in ensuring public safety. However, the current procedure involves manual screening of the X-ray baggage scans, which is error-prone and challenging. Hence, in this paper, we propose a transformer-based segmentation model to recognize baggage scans with concealed threats to tackle this. The proposed framework has been found to perform better than baseline systems.
Advanced Hierarchal Honeycomb Design: A Numerical Study
Omar El Khatib (Khalifa University, United Arab Emirates); Andreas Schiffer (Khalifa University of Science and Technology, United Arab Emirates)
A study was conducted to investigate the performance enhancement of an advanced hierarchical honeycomb. A numerical model was simulated to predict the elastic stiffness of the advanced and basic honeycomb models. Both designs attain equal unit cell relative density, and then the in-plane elastic constants were compared. Results indicate an increase in the in-plane stiffness by 356% and 415% for axial and shear loading cases, respectively.
Amal Abdulrahim (British University in Dubai - & Ministry of Education, United Arab Emirates)
The paper aims to investigate how multinational enterprises sustain competitive advantage by deploying agile strategies in three major operational areas (IT, supply chain, and production). In addition to exploring the mediating influence of knowledge management capabilities on this relationship, with a particular emphasis on innovative and knowledge-sharing capabilities. The literature gap the paper addresses is the impact of knowledge management capabilities on the strategic agility of multinational enterprises to sustain competitive advantage.
Haiyang Zhang and Muhammad Arif (Khalifa University, United Arab Emirates)
Hydrogen could be stored underground at a large scale for further utilization. However, precise behavior description of H2 plume migration and saturation distribution in porous media is still limited. In this study, we simulate the reservoir scale hydrogen injection and storage and investigate the hydrogen plume migration and saturation distribution in different injection depths. The impact of formation heterogeneity was also evaluated. The results showed that the injection depth will influence the plume migration behaviors and thus influence the H2 occupied volume, which will further affect the withdrawal efficiency. Moreover, the formation heterogeneity will result in gas channeling and more lateral migration.
Lamees Alakhras and Sanah Hasan (Ajman University, United Arab Emirates)
Aims to develop and validate a measure of asthma knowledge that would be available for use in the Arabic language and context. The sample comprised 150 medically diagnosed individuals 18 years and older recruited from primary care and asthma clinics in the UAE. The NAEPP was used to develop the Asthma Knowledge Test questions. Principal component analysis was used to determine the distinct areas of asthma knowledge covered by the AKT. Four components related to asthma as a common disease and its symptoms; triggers and control issues; inhalers; and beliefs and myths. AKT score average = 13.95 ± 2.77, range = 5.0-18.0. Only the participant’s level of education had a significant effect on AKT scores. The AKT is a valid, reliable, and psychometrically tested tool available in Arabic. It is a valuable addition to the limited available tools for assessing asthma knowledge and identifying specific patient education areas needing improvement.
Sanad Thurakkal Puthan Purayil, Emad Elnajjar, Fatima Salem Obaid Alnuaimi, Huda Usama Al Khawaja, Lobna Salah Shaikhoun, Nour Arnaoud and Sara Khalfan Mohamed Almutawa (United Arab Emirates University, United Arab Emirates)
The effect of acid treated and bead milling cell disruption techniques on the lipid recovery was investigated on Spirulina sp. These results were supported by scanning electron microscope, ultimate and proximity analysis. The cell disruption techniques showed high lipid recovery with 97 and 82.35 percent more lipid content for acid treated and bead milling samples. This study also provides an overview of the mechanism behind the cell disruption techniques employed for lipid recovery.
Why do SMEs find it difficult to implement Lean Practices and Circular Economy Concept?
Shahd Al Sane (Khalifa University, United Arab Emirates); Raja Jayaraman (Khalifa University of Science and Technology, United Arab Emirates); Toufic Mezher, Jiju Antony and Ahmad Mayyas (Khalifa University, United Arab Emirates)
Waste generation, population expansion and economic growth have increased the demand for resources such as energy, food, and water. Thus, an efficient use of resources is needed. The proposed solution is the integration of Lean practices and the Circular Economy concept in SMEs as this would help to reduce the waste generation and promote resource efficiency. In this paper, obstacles faced by SMEs when implementing Lean practices and Circular Economy are presented. These challenges were extracted through conducting a systematic literature review using Scopus database where relevant articles published between 2018 and 2022 were included.
Than’a Alsaoudi and Jiju Antony (Khalifa University, United Arab Emirates); Vikas Swarnakar (Khalifa University of Science and Technology, Abu Dhabi, UAE, United Arab Emirates)
This paper aims to analyze the relationship between integrated management system ISO 9001 and sustainable (i.e., Financial, environmental, and Social) performance. Based on the analysis of the articles extracted from the Scopus database between the period of 1997 to 2022, the information collected related to authors’ details, journal name, sector, the aspect of performance, objective, and findings. To focus on the area of research and the publication, we use two keywords; ISO 9001 and sustainable performance. The analysis results reveal that manufacturing firms are the most frequent sector for ISO 9001 adoption, and financial performance is the highest aspect mentioned in this study. Further, the analysis results are evidence that there is very few literature available that discusses the impact of ISO 9001 on sustainable performance, this gap enhances to focus on this topic and opens a new path for researchers to further conduct future work on the same.
Aidana Nurakhmetova (Mohamed Bin Zayed University of Artificial Intelligence, United Arab Emirates)
Recent 3D detection models rely on Transformer architecture due to its natural ability to abstract global context features. One is the 3DETR network - a pure transformer-based model designed to generate 3D boxes on indoor dataset scans. It is generally known that transformers are data-hungry. However, data collection and annotation in 3D are more challenging than in 2D. Thus, our goal is to study the data-hungriness of the 3DETR-m model and propose a solution for its data efficiency. Our methodology is based on the observation that PointNet++ provides more locally aggregated features that can be useful to support 3DETR-m prediction on small dataset problem. We utilize pre-trained weights from the Group-free model trained on the SUN RGB-D dataset. The proposed 3DETR-m outperforms the original model in all data proportions. We improve 3DETR-m paper results by 1.46% and 2.46% in mAP@25 and mAP@50 on the full dataset.
Zhibo Zhang, Ahmed Yaqoub Yousif Alkhayyat Hammadi and Sangyoung Yoon (Khalifa University, United Arab Emirates); Ernesto Damiani (Khalida University - EBTIC, United Arab Emirates); Chan Yeun (Khalifa University, United Arab Emirates)
This paper’s main goal is to provide an attacker’s point of view on data poisoning assaults that use label-flipping during the training phase of systems that use electroencephalogram (EEG) signals to evaluate human emotion. To attack different machine learning classifiers such as Adaptive Boosting (AdaBoost) and Random Forest dedicated to the classification of 4 different human emotions using EEG signals, this paper proposes two scenarios of label-flipping methods. The results of the studies show that the proposed data poison attacks based on label-flipping are successful regardless of the model, but different models show different degrees of resistance to the assaults. In addition, numerous Explainable Artificial Intelligence (XAI) techniques are used to explain the data poison attacks on EEG signal-based human emotion evaluation systems.
SUNDAY, MARCH 19
The Role Of UAE-China Tech Cooperation and Its Effects on The UAE’s Procurement of Advanced US Weaponry
Meera Alneyadi (Khalifa University, United Arab Emirates)
The UAE is currently engaged in strategic hedging with China and hopes to cooperate on new and critical technologies, including artificial intelligence (AI). However, the UAE also relies on the US security umbrella and the procurement of US advanced weaponry such as fighter jets to protect it from powerful adversaries in the Gulf. This thesis examines the extent and significance of China-UAE technical cooperation and how this may negatively affect the UAE’s ability to procure advanced weaponry from the US. This thesis will concurrently seek to find answers to measure the effect of China-UAE technical cooperation on the UAE’s ability to procure advanced weaponry from the US. In doing so, this thesis looks at whether the procurement of advanced weaponry from the US is desired or better avoided. And in addition, it investigates the future directions of the UAE in terms of technology and advanced weaponry.
Green Chemistry biosynthesis of metal nanoparticles by Yeast
Atika Ahmad and David Sheehan (Khalifa University Abu Dhabi, United Arab Emirates)
Inorganic metal nanoparticles have been successfully fabricated through top-down and bottom-up chemical synthesis approaches. However, this method involves toxic organic solvents that adversely affect the environmental footprint. The biological synthesis of metal nanoparticles has the potential to be developed into a cost-effective, sustainable, and industrially scalable technology for this process. Consecutively, the effect of static magnetic field (SMF) on organisms has been previously reported. There exists a colossal gap in the literature to understand the mechanism of biosynthesis of nanoparticles in the presence of SMF. Herein, a novel green chemistry approach to synthesize extremely stable silver nanoparticles (AgNPs) have been discussed in detail. The AgNPs were synthesized through the growth of yeast in the presence of SMF. The results suggest the formation of stable, monodisperse, crystalline silver nanoparticles which were characterized by Dynamic Light Scattering (DLS), X Ray Diffraction (XRD) and Fourier Transform Infra-Red Spectroscopy (FTIR).
Mohd Mukarram Ali (Khalifa University of Science and Technology, United Arab Emirates); Tae-Yeon Kim (Khalifa University, United Arab Emirates)
3D printing has extensively introduced in the construction application. However, selecting the optimal mix design is a critical issue associated in this field. In order to enhance strength, workability and buildability, superplasticizers and nanomaterials can be added to the mixture. In this study, different shapes of nozzles are used in printing the cementitious materials with various mix designs. The impact of water to cement (w/c) ratio, silica fume and carbon nanotubes (CNTs) on printability is investigated. In terms of printability, 0.39 is considered to be the optimal w/c ratio. For both buildability and printability, 5% of the total mix is recommended with addition of silica fume. Also, 0.1% and 0.2% of CNTs with addition of 0.4% and 0.7% superplasticizers is found to be optimum mix design. Regards surface quality and shape retention, 5 mm circular nozzle provides better results when compared to 5 mm rectangular nozzle with R-1 bend.
Tauha Khan, Imran Afgan and Vladimir Parezanovic (Khalifa University, United Arab Emirates)
This study explores the effect of a centralized steady jet base blowing mechanism on the asymmetric wake of a square-back Ahmed body using detailed flow field measurements. 3D wake reconstruction is accomplished using stacked stereoscopic PIV (SSPIV) technique. Apart from the potential drag reduction effect, the steady jet is able to effectively suppress the wake RSB mode as evidenced by a perfectly symmetric wake velocity distribution.
Shadi Thiyab (BUiD, United Arab Emirates)
This paper’s aim is to identify the different type of strategic managements and its role on how to minimize the unpredictability political risks on the global business. Essentials different approaches of strategic management that support the global organizations to maintain their business running. This will allow the organization to understand the diverse types of political risks and predicting the future state of the risk impacts accordingly, which will help to keep the global organization grow. By the conceptual model in this research, the strategic management is playing a crucial role to mitigate the political risks discussing the different strategic management approaches (Active, Proactive and Reactive). The study reviews the essential literature theoretical framework on the role of the strategic management on political risk in global business and to propose a conceptual model for future research.
Yusuf Amidu (Khalifa University, United Arab Emirates)
In this paper, we consider the problem of optimally allocating drivers to parking places close to their destination, while taking into account the available capacity of the parking lots, the intended duration of stay of each driver and the uncertainty of extensions. We propose two methods of finding good feasible solution to the dynamic model: the first method is based on solving an Integer Program based on estimates for the average available capacity and the second method is based on subsequently applying the Sample Average Approximation method.
Fahd A. Shifa (Khalifa University of Science and Technology, United Arab Emirates); Mohamed Shawky El Moursi (Khalifa University, United Arab Emirates); Vinod Khadkikar (Advanced Power and Energy Center (APEC), United Arab Emirates)
This paper details the process of creating the dynamic model of five-terminal HVDC system to support the operation of a dynamic grid modelled by a standard 39-bus IEEE system. MATLAB and Simulink were used to implement the dynamic models of voltage source converters and their controllers. The existing MATPOWER and MATACDC libraries were used to carry out sequential AC/ DC power flow for steady-state initialization of dynamic states of the implemented systems. DC voltage droop control was employed to control the voltages of the DC nodes. The PI controllers of the various subsystems of the voltage-source converters were tuned using a combination of analytical and intuitive techniques. The results of the simulation show the dynamic performance of the implemented system for various scenarios.
UAE
Amna Alsadani (United Arab Emirates University, United Arab Emirates); Maria Susana CampoRedondo, Miss (United Arab Emirates University UAEU & None, United Arab Emirates)
This article describes a case study in which five clinical interviews were carried out on a 32-year-old female, previously diagnosed with bipolar 1, who is currently in an inter-episode period, also known as euthymia, to determine the existence of specific functioning deficits. Various psychological assessments were carried out on the patient and assessment results showed somatic complaints, cognitive complaints, thought dysfunction, behavioral difficulties, and interpersonal difficulties. These findings are in line with literature that showed people with euthymic BD continue to have symptoms even during periods of apparent clinical stability. Based on the available literature, treatment implications are subsequently described. Psychoeducation, Cognitive Behavioural Therapy, and Family Focused Therapy and have been recommended for the patient.
Antimicrobial Stewardship Programs in the United Arab Emirates
Hibat Errahmane Zitouni and Sanah Hasan (Ajman University, United Arab Emirates)
Antimicrobial resistance (AMR) is a global threat, the leading cause of which is inappropriate antimicrobial use. Global action plans have been implemented, focusing mainly on Antimicrobial Stewardship (AMS) programs. A social marketing framework is applied to induce behavioral change through a solution-oriented approach. This study aims to describe AMS practices in hospitals in the United Arab Emirates (UAE) and pharmacists’ perceptions of improvements and challenges facing AMS programs. A qualitative study with a semi-structured interview was conducted with 25 pharmacists, in 16 hospitals across Abu-Dhabi, Al Ain, Dubai, and Ras Al-Khaimah. Data were analyzed using thematic analysis. Two major themes emerged: Characterization of the AMS program in UAE hospitals and Optimization of the AMS program in UAE hospitals. Variance in AMS implementation was revealed, calling for a nationwide plan to bridge gaps across institutions, as well as a need to employ qualified clinical pharmacists to maintain properly functioning AMS programs.
Validation of Computational Fluid Dynamics Code for the Investigation of an Advanced Gas
Turbine Combustor using Counterflow Burner for Laminar Diffusion Flames Model
Maryam A. Naqi, Ashraf N. Al-Khateeb and Dimitrios Kyritsis (Khalifa University, United Arab Emirates) The solution procedure for laminar, non-premixed counterflow methane diffusion flame is demonstrated, and the results for this computational fluid dynamics problem are discussed as well as the validation methods for the computational fluid dynamics (CFD) code used to solve the problem in this work via mesh sensitivity analysis and comparison of the obtained results against published results. The governing equations were solved using Ansys Fluent software coupled with the GRI-Mech 3.0 Mechanism for momentum, species evolution, and energy equati
2:30 - 13:30
Lunch Break
Room: Ballroom 3&4
13:30 - 14:15
Panel Session 2: The Role and Impact of Doctoral Degree Holders in Society and on Economy
• Prof. Carol Genetti, Vice Provost for Graduate and Postdoctoral Programs, NYU Abu Dhabi/Moderator
• Prof. Bayan Sharif, Provost, Khalifa University
• Prof. Sehamuddin Galadari, Senior Vice Provost of Research, New York University Abu Dhabi
• Prof. Ali Al Marzouqi, Dean of Graduate Studies, UAE University
• Prof. Mohamed El Tarhuni, Vice Provost for Graduate Studies, American University of Sharjah
Room: Ballroom 3&4
14:15 - 15:45
CHS-D1-S2: Immunology, Diabetes & Cardiovascular Disease
Clinical, Pre-Clinical, Health & Life Sciences
Room 4
Chairs: Doua Kamyan (Al Ain, UAE & UAEU, United Arab Emirates), Siniya Nedunkulathil (Khalifa University, United Arab Emirates)
14:15 The mitochondrial modulator MCJ (DNAJC15) is a critical regulator of tumorigenesis in colorectal cancer
Maram Ahmed (United Arab Emirates University, United Arab Emirates) Methylation-controlled J protein (MCJ; also known as DNAJC15) is a negative regulator of mitochondrial respiration. MCJ regulates cellular metabolism, and its expression is inversely proportional to the extent of mitochondrial ATP production. In the current study, our main aim was to evaluate the link between MCJ expression and the tumorigenicity of colon adenocarcinoma. Using molecular and cellular approaches, we derived MCJ-deficient cancer cell lines and compared their growth characteristics with MCJ- expressing cancer cells in a pre-clinical mouse model. The results showed that MCJ-deficient cancer cells were inhibited in their in vivo growth through mechanisms that enhance their immunogenicity, thereby rendering them more sensitive to the host's anti-tumor immune responses. These novel findings demonstrate that cancer cell-intrinsic MCJ expression regulates cancer cell physiology and growth, highlighting the link between cellular metabolism and tumorigenesis.
14:30 Ozanimod (RPC1063) mediates remission in experimental autoimmune encephalomyelitis (EAE) in C57BL/6 mice by altering the count and activation status of Natural Killer (NK) cells
Doua Kamyan (Al Ain, UAE & UAEU, United Arab Emirates); Maya Hassane and Al Anood Al Naqbi (UAE University, United Arab Emirates); Mariam Al Shamsi (University of United Arab Emirates, United Arab Emirates)
Ozanimod (RPC1063) is an immunomodulator that was recently approved by the FDA for the treatment of relapsing-remitting multiple sclerosis (2020). It induces internalization of the S1PR resulting in reducing lymphocyte egress from lymph nodes. We sought to Study the effect of ozanimod treatment on the EAE disease and to assess the effect of ozanimod on NK cells and their level of activation. Active EAE induction was done in C57BL/6 mice. Flowcytometry of blood and CNS was performed. Ozanimod was effective in reducing the clinical severity of EAE. Ozanimod reduced inflammation by significantly decreasing in the mean of circulating CD4+ T cells. Interestingly, ozanimod resulted in an increase in the frequency of NK cells in the CNS and upregulation of NKG2D receptor on CD27low/- NK cells. our data suggest that ozanimod-mediated remission is associated with an increased percentage of total NK cells and CD27low/- NK cells expressing NKG2D in the CNS.
Siniya Nedunkulathil (Khalifa University, United Arab Emirates); Andreas Henschel (Khalifa University of Science and Technology, United Arab Emirates)
The genotype-Phenotype prediction has become a central viewpoint in precision medicine. Gene mutation can affect the metabolism of some medicines in each individual differently. Some inherited genes can escalate the disease risks like type 2 diabetes(T2D). T2D is a condition in which the body does not generate enough or utilize insulin as it should, leading to excessively high blood sugar (glucose) levels. This study assesses the T2D risk factors using the UKBiobank(UKBB) prospective cohort and develops a T2D prediction model with machine learning and GWAS by incorporating both clinical and genetic data.
The prediction was conducted independently for males. Comprehensive studies demonstrate that the suggested framework with LIghtGBM Classifier outperforms with an Area Under Curve (AUC) of 1 during training and 91.8 during validation. The model's exceptional performance suggests exciting prospective applications in healthcare services. Furthermore, give significant evidence that the retrieved latent features are important in illness risk prediction.
15:00 Characterization of potential anti-tumor effect of powdered Manuka honey against a wide variety of cancer cell lines
Ienas Idriss (United Arab Emirates University, United Arab Emirates); Basel Ramadi (UAE University, United Arab Emirates)
With the growing prevalence of cancer and the emergence of drug resistance, there is a pressing need for new drug discovery. The monofloral Manuka honey has garnered attention for its potential use in cancer treatment due to its demonstrated antioxidant, anti-inflammatory, and anti-tumor properties. This study is the first of its kind to investigate the anti-tumor effect of powdered P-MH on a panel of murine and human cancer cell lines. Our results show that P-MH has indeed significant anti-tumor activity, resulting in a 20% - 45% reduction in the viability of different tumor cell lines at a concentration of as low as 0.3% (w/v). Moreover, treatment of human breast or lung cancer cell lines with P-MH reduced tyrosine-phosphorylated STAT3 (pY-STAT3), which is a known oncogenic factor in many human cancers. These findings suggest that inhibition of pY-STAT3 is a key target for the action of P-MH on cancer cells.
15:15 Oral administration of Manuka honey modulates anti-tumor immune responses in a preclinical model of colorectal cancer
Razan Jamil Masad (University of the United Arab Emirates, United Arab Emirates)
Manuka honey (MH) has been recognized for its antimicrobial, wound healing and anti-cancer effects. In the present study, we investigated the potential effect of oral administration of MH on tumor growth using a murine model of colorectal cancer. Treatment with MH prior to tumor implantation resulted in a significant retardation of tumor growth compared to controls. Further investigation revealed that the ability of MH to effect these changes is linked to a series of immunological alterations within the tumor microenvironment. Our results indicate that MH may adversely influence tumor growth by boosting anti-cancer immune responses.
15:30 The radiographic cardiovascular manifestation post-Covid-19: A review
Shahd Shehadeh Abdelrahman (Khalifa University, United Arab Emirates); Ajnas Alkatheeri (FCHS, United Arab Emirates); Moni Nader (Khalifa University, United Arab Emirates)
The emerging manifestations of coronavirus disease 2019 (COVID-19) have unexpectedly been recognized to affect several body systems. Some of these complications arise during the infection period while others arise after the recovery from the viral infection. Cardiovascular complications associated with COVID-19 infection are critical and require careful monitoring and management.
Arrhythmias, Acute Coronary Syndrome, Acute Myocardial Injury, heart failure, and Cardiogenic Shock are all post COVID-19 infection-associated manifestations. The proper diagnosis and management of such life-threatening manifestations are highly crucial in order to minimize fatalities associated with COVID-19 infection.
In this review, we will discuss the prevalence of CVD in COVID-19-infected patients, early and late cardiovascular manifestations, cardiac injury biomarkers associated with COVID-19 infection, and the appearance of cardiac manifestations on ultrasound, computed tomography, magnetic resonance imaging, single-photon emission computerized tomography and positron emission tomography.
4:15 - 15:45
EPS-D1-S2: Chemical Engineering Engineering, Information Technology & Physical Sciences
Room 3
Chairs: Mohammed Abujayyab (Khalifa University, United Arab Emirates), Taofeeqah Abimbola Agbaje (Khalifa University, United Arab Emirates)
14:15 Tandem catalysts for the conversion of CO2 to olefins
Sadiya Mushtaq and Maryam Khaleel (Khalifa University, United Arab Emirates); Kyriaki Polychronopoulou (Khalifa University of Science and Technology, United Arab Emirates)
One of the main ingenuities for fighting against climate change is utilizing CO2 as a resource rather than waste. In this regard, thermocatalytic CO2-hydrogenation is a promising route to high value-added chemicals and/or fuel. Light olefins are key interest product because of high demands in polymers. Recently, most attractive approach is the catalytic hydrogenation of carbon dioxide to olefins using tandem catalyst via methanol-mediated pathway.
14:30 Vapor Phase Synthesis of ZIF-8 Membranes For
Taofeeqah Abimbola Agbaje, Maryam Khaleel and Georgios Karanikolos (Khalifa University, United Arab Emirates)
In gas separation, novel materials such as metal organic frameworks (MOFs), including zeolitic imidazolate framework (ZIFs), hold great potentials to provide both high selectivity and high permeability due to their uniform pore size for sharp molecular sieving and high porosity for fast transport rate. ZIF-8 among other ZIFs shows sharp molecular sieving for propane/propylene. It has been widely reported for membrane-based propane/propylene separation due to its stability, cheap and easily available starting materials, and relatively easy synthesis. This work presents recent advances on various ZIF-8 fabrication techniques, with special attention to the vapor-phase synthesis methods, as well as their comparative performance in propylene/propane separation.
Intisar Khalifa Al Busaidi III and Rashid Al Maamari (Sultan Qaboos University, Oman); Dawoud Al Mahrouqi (Petroleum Development Oman, Oman); Mahvash Karimi (Sultan Qaboos University, Oman) The main challenge of polymer flooding is the loss of injected polymer in porous media by adsorption. Thus, understanding polymer adsorption is very important for designing a successful polymer flooding project. However, no clear conclusion can determine the main factors controlling polymer adsorption. Therefore, this study aimed to investigate the impact of salinity and mineralogical composition of the rock on polymer adsorption. Partially hydrolyzed polyacrylamide (HPAM) polymer, Boise outcrop, a reservoir core from an Omani oil field, and brine at two different salinities were used. Single phase displacement experiments and total organic carbon measurements to analyze polymer adsorption were used. The results revealed that brine salinity, rock mineralogy, clay types, and contents play a major role in polymer adsorption.
Mohammed Abujayyab (Khalifa University, United Arab Emirates); Fawzi Banat (Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates)
The demand for lithium has increased over the past years due to its usage in many different fields. Different techniques have been implemented to obtain lithium from brine, considering that it is a rich source of lithium. In this study, lithium has been obtained by adsorption using Calcium alginate (Ca.Al) in one setup and Copper alginate (Cu.Al)in another setup.
The adsorption experiment was based on developing both adsorbents and then using them to adsorb lithium from a lithium chloride solution. The desorption was done by nitric acid solution. The removal capacity of lithium has reached 50% for each setup. The work suggests that there is no difference in adsorption when using Ca.Al or Cu.Al.
Ahmad Saud Jawed (Khalifa University of Science and Technology, United Arab Emirates); Lobna Nassar, Hanaa Hegab and Riaan V Der Merwe (Khalifa University, United Arab Emirates); Faisal A AlMarzooqi (Khalifa University & Masdar Institute, United Arab Emirates); Fawzi Banat (Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates); Shadi Wajih Hasan (Khalifa University of Science and Technology, United Arab Emirates)
One of the most important problems our world is currently facing is the lack of freshwater. Even though the conventional membrane distillation (MD) method may effectively generate clean water regardless of the weather, the procedure consumes a lot of energy. During the last decade, solarpowered membrane distillation (SPMD) technology has drawn a lot of attention due to the advancement of photo-thermal materials. In addition to securing the production of freshwater remotely, the integration of solar energy with MD can lower the cost of the water purifying process. At this point, it is crucial to review the SPMD system's most recent developments as well as to emphasize the difficulties and potential of this technology. In the final section, it is investigated if SPMD could outperform conventional desalination technology while boosting water production without utilizing a sizable amount of electrical or high-grade thermal energy.
Hanan Nasser Al Hasani (Khalifa University & None, United Arab Emirates); Emad Alhseinat (Associate Professor, United Arab Emirates)
Fossil fuels have served as paramount source of energy for several decades but with their depletion, environmental footprint and the continuous raising energy demands, the development of emerging renewable energy has become broadly recognized as an important strategy for global energy security. One of the promising technologies for renewable energy is reverse electrodialysis. In reverse electrodialysis (RED), saline water bodies are exploited to harvest blue energy from the reversible mixing of sea water and fresh water using a membrane technology. This review summarizes the performance-determining ion exchange membrane properties for RED.
14:15 - 15:45
EPS-D1-S2:
Chairs: Yasmeen Ghassan Abdelkarim (Khalifa University, United Arab Emirates), Qasim Khan (United Arab Emirates University & Al Ain, United Arab Emirates)
Meletetsega Gashaw Gebeyehu (Khalifa University of Science and Technology & Khalifa University, United Arab Emirates); Tadahiro Kishida (Assistant Professor, Khalifa University of Science and Technology, United Arab Emirates); Nicolas Calvet (Khalifa University, United Arab Emirates)
The accumulation of various waste or by-products such as steel slag has become a serious waste management issue towards the environment protection. In recent years the re-use of waste materials is growing as structural fills and transportation services for sustainable waste recycling. On this basis an assessment of possible alternative for railway ballast materials is useful from mechanical behavior perspective. In this study, a comparison between natural aggregate (i.e., gabbro) and waste product (i.e., steel slag) is presented by means of triaxial monotonic and cyclic loading test. The drained triaxial tests are conducted for three different confining pressures of field representative conditions. The experimental results reveled that the strengths of both materials are very much similar. However, steel slag aggregates tend to show better long-term deformability behavior expressed by less permanent deformations and improved stiffness behaviors under repeated loading conditions.
14:30 Assessment of high frequency excitation by earthquake for nonstructural components of nuclear plant
Yakub Adeyemi Muniru (Khalifa University, United Arab Emirates); Tadahiro Kishida (Assistant Professor, Khalifa University of Science and Technology, United Arab Emirates); Tae-Yeon Kim (Khalifa University, United Arab Emirates)
System failures occur because of nonstructural damage even though the structural components perform well. However, less attention has been paid to the design of nonstructural components in comparison with structural ones. Therefore, assessment of seismic performance is important for nonstructural components such as critical infrastructures. This study reviews design standards and prediction of the peak floor acceleration (PFA) which is a major input in determining the seismic force. Random vibration theory (RVT) is applied to improve the prediction of PFA by incorporating theoretical (TTF) and empirical transfer functions (ETF) of soil-structure interaction (SSI) and structural responses. Different combinations of TTF and ETF are investigated to understand the applicability and limitations of these TFs. The results show that the RVT works well to predict PFA even though SSI is modelled by TTF. The prediction of PFA is substantially improved using RVT with TTF and ETF.
Mohamed Adel (Sultan Qaboos University, Oman)
Sabkha soil has a potential existence across the Arabian Gulf area. Stability of structures contacted with sabkha soils can be rigorously affected. Deep soil mixing was chosen as an improvement technique due to its economical principle rather than the costly traditional deep foundation systems. The behavior of deep soil mixing columns in sabkha soil was experimentally and numerically modeled to formulate a geometrical and column strength design. A special apparatus has been developed to implement DSM columns similar to the in-situ construction sequence. The results revealed that the experimental and numerical modeling showed very good agreement in terms or settlement and stresses distribution along the soil profile. The results indicated a significant improvement in bearing capacity and settlement reduction. The stress concentration ratios were showed a significant difference due to the stiffnesses differences. Area replacement ratio and columns strength have a significant effect on the soil improvement degree as well.
15:00
Yasmeen Ghassan Abdelkarim, Sangyoung Yoon and Tae-Yeon Kim (Khalifa University, United Arab Emirates)
Road skid resistance decreases significantly as the ambient temperature and pavement and tire temperatures increase. Finite element models for tire-pavement interaction can be used a tool to predict skid resistance loss due to the increase of temperature. The main objective of this study is to investigate the effect of high temperature on road skid resistance using a 3D thermo-mechanical tire-pavement interaction model, by assessing the effect of temperature on the friction between a car tire and the road surface.
Qasim Khan (United Arab Emirates University & Al Ain, United Arab Emirates); Mohamed Mohamed (UAEU, United Arab Emirates)
This paper proposes a novel method of studying floods using images, videos and text data from social media. Hybrid data is converted to numeric values using ResNet50 model along with VGG-16 architecture. These numeric values were further classified using Machine Learning (ML) models. Area under curve (AUC) methods were used to evaluate the performance of the developed ML models. Flash flood event that occurred in the United Arab Emirates (UAE) from 7th to 11th March 2016 was selected as the focus of this study. Random Forest showed highest accuracy of 80.2% among five different classifiers. This approach of studying the quality of social media data could be a reliable alternative in the absence of real-time flow gauges data.
Shahd Kasas and George Mylonakis (Khalifa University, United Arab Emirates)
Buckling analysis is crucial for the design of slender piles. This paper presents an analytical solution for buckling in piles with a hinged tip and free translation, fixed rotation top. In addition, it provides simplified equations using virtual work to determine the critical buckling load for the same pile embedded in the homogeneous soil profile. This method can boundary conditions.
14:15 - 15:45
EPS-D1-S2: Earth Science & Petroleum Geoscience Engineering, Information Technology & Physical Sciences
Room 7
Chairs: Abdulquadri Olalekan Alabere (Khalifa University, United Arab Emirates), Lolita Marheni (Khalifa University, United Arab Emirates)
14:15 Controls on the formation and evolution of dual porosity network in Lower Cretaceous Limestone reservoir, Abu Dhabi, United Arab Emirates
Abdulquadri Olalekan Alabere (Khalifa University, United Arab Emirates)
Petrographic and petrophysical analyses of Lower Cretaceous limestone reservoir provide new insights into diagenetic evolution of bimodal pore network. Most important diagenetic controls include: (i) Development of microporosity by allochem micritization and partial cementation by grain-rimming calcite during eogenesis, (ii) partial to complete dissolution of peloids and concomitant precipitation of equant calcite cement during early mesogenesis, (iii) stylolitization and development of tension gashes and concomitant massive cementation of the macropores by coarse-crystalline calcite and partial cementation of the micropores by calcite micro-overgrowths around micrite during late mesogenesis. Lateral compression by ophiolite obduction in late Cretaceous allowed flow of basinal brines along stylolites resulting in saddle dolomite and pyrite precipitation. Depositional intergranular macropores were preserved in grainstones by sparse grain rimming, dogtooth-like calcite cement reducing mechanical compaction effect. Micro- and macropores are interconnected yet moldic, fracture pores, and intragranular micropores are non-connected. This research aids better detection of low-resistivity pay zones.
Guoqi Ma (Khalifa University, United Arab Emirates); Bing Zhou (Khalifa University of Science and Technology, Australia); M. Jamal Zemerly and Mohamed Riahi (Khalifa University, United Arab Emirates) Efficiently solving the large-dimensional sparse linear system in frequency-domain seismic wave modeling is always challengeable, especially multiple sources in the forward modelling have to be processed to acquire the waveform information of different angles. We propose a robust parallel iterative solver named P-PCG for seismic wave modelling in viscoelastic anisotropic media. We use the 3-D overthrust model and the sparse linear system from the model owns degrees of freedom of 35.5 million and over 3.9 billion non-zeros. the P-PCG takes 7.9 hours and 78 gigabytes to obtain accurate solutions by only 5 cores, which is more cost-efficient than the popular scientific tool MUMPS that costs 13.6 hours, 4407 gigabytes and 17 cores.
Lolita Marheni (Khalifa University, United Arab Emirates)
Despite of numerous studies conducted on the stratigraphy of the Arab Formation, regional chronostratigraphic correlation between fields and countries are still poorly defined. The age determinations were done mainly using benthic foraminifera and strontium isotopes where suggested inconsistent depositional ages between Kimmeridgian-Tithonian, and Mid-Late Kimmeridgian. Several discrepancies are observed related to paleogeographic evolution of the oolitic grainstone in the Arab Formation. The progradation trends and development of the oolitic grainstone shoals vary within the Abu Dhabi. Some paleogeographic reconstruction models proposed the oolitic grainstone shoal developed synchronously under rapid progradation while others suggest asynchronous deposition. This study is a part of a project that aims to reconstruct regional stratigraphic architecture of the Arab formation by utilizing subsurface data from several oilfields in Abu Dhabi with the focus on the oolitic grainstone shoal. The current result is the lithofacies and characterization of the oolitic grainstone reservoir across the Arab Formation.
15:00 A Geological Evaluation of Penobscot Field for De-risk and CCS Applications
Ahmed K Eleslambouly and Seda Rouxel (Khalifa University, United Arab Emirates)
Penobscot field was previously discovered in 1976 and has been considered as a non-commercial discovery at that time. Recently, the hydrocarbons prices have risen which has affected multiple previous discoveries. Penobscot has a confirmed good hydrocarbons portion that has been confirmed in two wells. In this work we aim to resolve the complexity of the field using and provide G&G characterization for the production and carbon storage purposes. A combination of approaches was used such as general geology of the basin, in addition to seismic and well analysis to characterize the field and test the hydrocarbon accumulations in each reservoir which has revealed good hydrocarbon presence and intermediate drilling risk which qualifies the field for further production work.
15:15 Real-domain implementations of 2.5-D time-domain viscoelastic wave modeling
Moosoo Won (Khalifa University, United Arab Emirates)
We present the 2.5-D time-domain viscoelastic wave modeling in the purely real domain. The common 2.5-D time-domain modeling costs much more computer memory and run times than the 2-D because of the complex-domain computations derived by the Fourier transform of the y-coordinate to the wavenumber. Employing the symmetric and antisymmetric properties of the wavefields to a point source, we find that the wavefields are pure real or imaginary functions, which enables us to implement the 2.5-D wave modeling in the entire real domain. We prove the equivalence of the complex-domain and real-domain implementations of the 2.5-D time-domain wave modeling, and the real-domain implementation is 42.7% faster runtime and saves 36.7% memory storage than the complex-domain implementation.
15:30 Chemostratigraphy of the Kayenta formation: Implication for the Early Jurassic climate variation in the terrestrial environment
Abdulwaris Ajagunjeun (Khalifa University & University of Ibadan, United Arab Emirates); Aisha Al Suwaidi (Khalifa University, United Arab Emirates)
The Early Jurassic is characterized by climatic variation preserved in the global carbon cycle. Reconstructing the global carbon cycle through geologic time in the terrestrial environment has been challenging. However, the Kayenta Formation exposed at Gold Spring provides an opportunity to define Pliensbachian - Toarcian Boundary because the dinosaur remains dated ~184Ma at the base of the section. In this study, we reconstruct the carbon cycle by determining the isotopic signature of the organic carbon, carbonate carbon, and oxygen isotope, and it is found that the Gold Spring section has a signature predominantly of C3 plant and has the potential to preserve the Pliensbachian - Toarcian Boundary with a negative excursion of ~4‰.
14:15 - 15:45
EPS-D1-S2: Electrical & Electronic Engineering Engineering, Information Technology & Physical Sciences
Room 1
Chairs: Rawdha AlKuwaiti (Khalifa University, United Arab Emirates), Ammar Atif Ibrahim (Khalifa University, United Arab Emirates)
Mohamed Tagelsir Barakat Elsir, Ameena Al Sumaiti and Mohamed Shawky El Moursi (Khalifa University, United Arab Emirates)
Despite the significant rising level of renewable energy resources (RES) integration in the power system, which presents a challenge for power system operators due to their fluctuations and unpredictability, fossil-fueled generation plays the greatest role in power generation and the main role in carbon emissions. Carbon capture and storing mechanisms are important to reduce the spread level of carbon emissions. Therefore, this paper presents a market-clearing mechanism in a co-optimization model that coordinates the operation of a renewable-rich power system and water desalination system. The power system is assumed to have a high-RES penetration and fossil fuel plants are equipped with carbon capture mechanisms. The water system is equipped with water storage tanks and delivers demand response services to the power grid. The market clearing mechanism is assumed to be based on security-constrained unit commitment (SCUC). The simulation results show that the operation cost and the emissions are minimized.
Ammar Atif Ibrahim and Mohamed Shawky El Moursi (Khalifa University, United Arab Emirates); Tarek EL-Fouly (Khalifa University of Science and Technology, United Arab Emirates); Khalifa Hassan Al Hosani (Khalifa University, United Arab Emirates)
This paper proposes a gird forming operation and a battery saving (BS) mode for a battery energy storage system (BESS) in an islanded microgrid. The grid-forming BESS system operates in two modes in islanded microgrids powered by photovoltaic (PV) systems: the first mode operates in discharging mode when demand power exceeds generated PV power. The charging mode, which is used when the generated power exceeds the demand power, is the second mode of operation. But, if the battery system hits the maximum charging level (SOCmax), it may overcharge the battery, thus, limiting its life. This paper proposes an algorithm that forces the PV system to operate in suboptimal operation instead of the maximum power point tracking (MPPT) to prevent the battery system from operating in charging mode when SOCmax is reached
Nasser Jamal Al-Saif (Khalifa University, United Arab Emirates)
Wireless power transfer (WPT) for Electric Vehicles (EVs) has been gaining interest in recent years due to convenience, safety, and improving battery life. However, due to the physical limitation of magnetic coupling, several bottlenecks exist with conventional copper coils even though they have been shown to provide high efficiency. High-temperature superconducting (HTS) coils have been proposed in the literature to improve the efficiency of current WPT for future high-power applications and power density. This paper overviews an economic comparison between two theoretical WPT systems, CopperCopper and HTS-Copper systems. Finite Element Analysis (FEA) is used to accurately identify the heat transfer behavior of the liquid nitrogen cooling the HTS. Even though HTS coils outperform copper coils electrically, the price of cooling is presented to be the main bottleneck in the integration of HTS into EV charging applications
15:00 Exploring eHGSS dynamics within a DC microgrid
Rawdha AlKuwaiti (Khalifa University, United Arab Emirates); Hany Farag (York University, Canada); Hatem H Zeineldin (Khalifa University & Advanced Power and Energy Center, United Arab Emirates); Ehab El-Saadany (Khalifa University of Science and Technology, United Arab Emirates)
Cleaner energy sources have risen in the past years as climate change has become a more pressing issue. Hydrogen technology and storage has been developed significantly and is now at a point where it can compete with other storage systems in terms of benefits it provides. Therefore, this paper explores the electrolysis based hydrogen storage system (eHGSS) alongside a photo voltaic (PV) module to examine the dynamics between the two. The electrolyzer, fuel cell, and hydrogen tank comprise the eHGSS. The proposed approach was modeled in MATLAB/SIMULINK within a DC microgrid, with the generation consisting of PV and a fuel cell (FC), and the load consisting of an electrolyzer and a simple load. Several cases have been run on the system to demonstrate the system’s behavior under various conditions. The results show that when appropriate, the system is able to minimize the voltage dip caused
Adham Osama (Khalifa University, United Arab Emirates); Hatem H Zeineldin (Khalifa University & Advanced Power and Energy Center, United Arab Emirates); Tarek EL-Fouly and Ehab El-Saadany (Khalifa University of Science and Technology, United Arab Emirates) Although detailed analytical models for droop-based microgrids are available, they are both computationally complex and do not consider possible real-time variations in microgrid parameters and operating conditions. This paper proposes a Prony-based technique to identify the dominant modes of the inverter-based microgrids (IBMGs) with high accuracy using local measurements only. A short-duration small disturbance is applied to one of the DGs active power droop gains then the dominant modes of the system are estimated from the local measurements that have the highest participation factor in the microgrid using the Prony analyzer. The effectiveness of the developed approach was validated via MATLAB/SIMULINK simulation considering different droop gains where the Prony estimated dominant modes are compared with those obtained from the microgrid’s small signal model. The estimated dominant modes using the proposed approach can be utilized for online assessment of the microgrid stability.
15:30 Inverter-Based Islanded Microgrid Optimal Protection Coordination using Adaptive Virtual Impedance FCL
Ahmed M Abdelemam (Advanced Power and Energy Center, EECS Department, Khalifa University
Abu Dhabi, United Arab Emirates); Hatem H Zeineldin (Khalifa University & Advanced Power and Energy Center, United Arab Emirates); Ahmed Al Durra (Khalifa University, United Arab Emirates); Ehab El-Saadany (Khalifa University of Science and Technology, United Arab Emirates)
The limited fault current capacity for inverter-based distributed generators (IBDGs) embedded in islanded microgrids results in a challenge in microgrid protection. This paper proposes an adaptive droop-based control scheme using virtual impedance fault current limiter VI-FCL for IBDGs. The VI-FCL limits the fault current contribution for IBDGs instead of the hard limiter used in the current control loop. This implementation is achieved by augmenting the microgrid traditional droop controller with a novel positive sequence voltage versus FCL impedance (VIBDG - ZFCL) droop, designed to insert VI-FCL during fault conditions only. The proposed scheme has been validated using PSCAD / EMTDC considering different fault locations. The proposed adaptive droop-based protection scheme eliminates the need for a dedicated fault detection scheme and can accurately distinguish normal and fault conditions.
14:15 - 15:45
EPS-D1-S2: Industrial Engineering Engineering, Information Technology & Physical Sciences
Room 6
Chairs: Razan Easa Alkhanbouli (Khalifa University, United Arab Emirates), Osama Mussawar (Khalifa University, United Arab Emirates)
Razan Easa Alkhanbouli, Maher Maalouf, Dirar Mohammad Al Homouz and Kamal Salih Taha (Khalifa University, United Arab Emirates)
This paper discusses the importance of DNA damage and repair in the genesis and progression of cancer. When DNA is damaged, the number of mutations grows, necessitating DNA repair mechanism. DNA Polymerase Beta (POLB) is a critical enzyme in the base excision repair mechanism. The mechanism preserves the genome and ensures genomic stability. Also, Single Nucleotide Polymorphisms (SNPs) may alter the capability of DNA repair. In this study we investigate bioinformatics feature extraction tools to build a profile of each SNP. The output will be evaluated by machine learning algorithms to predict whether a new SNP will develop cancer or not.
Kehinde Ganiyu Ismaila (Khalifa University, UAE, United Arab Emirates)
This paper addresses the fulfillment and delivery problem in the e-commerce distribution network. We focus on a retailer with an eCommerce platform and a network of physical stores. We present the online fulfillment and delivery problem as a mixed integer programming model that captures the multiitem features of online retailing in a multi-commodity network flow structure. Although the mixed integer formulation is defined for the set of online orders placed over time, we only solve the problem for a single order. We propose variable neighborhood search (VNS) metaheuristics to solve the formulation and provide results of computational experiments based on randomly generated instances. Although the VNS approach can produce a solution faster than the time required by the gurobi optimizer to solve the MIP, the gap between the VNS solution and the optimal solution still leaves much room for improvement.
Saqar A Alramsi (Khalifa University, United Arab Emirates)
The need for improved quality of care, specifically better patient experiences in mental health, has influenced a shift towards using a market-driven strategy that relies on patient experience surveys as indicators and tools for quality improvement. Different countries, including Sweden, the UK, the U.S. and Australia, use various patient-reported experience measures for mental health care, most of which vary in content, scope, and psychometric robustness . These countries also demand that healthcare institutions conduct annual surveys for patient experience in all departments, including mental care. Due to the numerous challenges that decision-makers face in the quality improvement process, understanding the domains that influence patient experience and the correlations between them are required. In response, this project aims to investigate the interconnections between domains in UK National Health Service patients’ experience of mental health services. The outcomes could help decision-makers in the mental health sector improve the quality of care provided.
15:00 Energy System Modelling for Net Zero Emissions Transition: Current Global Agenda & Existing Gaps
Sara Khalil Zaidan and Mutasem El Fadel (Khalifa University, United Arab Emirates)
In this study, we present an in-depth critical analysis of energy system models in compliance with the net zero emissions (NZE) direction using well-defined criteria to assess the relevant state of knowledge and determine the NZE progress for over 100 global regions. Various insights were drawn pertaining to the latest trends and developments in energy system modelling and to reflect on the current global readiness for the timely achievement of the Paris Agreement goal of limiting warming levels to 1.5-2 ℃ by the end of current century. Existing gaps relating to the NZE transition and technical details of energy system models were identified from reported literature. The identified gaps set forth the direction of future work towards developing a conceptual NZE framework that provides appropriate insights for practitioners and governments to support sustainable policy planning and assessment.
15:15 Evaluating the impact of built context and climate on urban energy sustainability
Osama Mussawar and Ahmad Mayyas (Khalifa University, United Arab Emirates); Elie Azar (Carleton University, Canada)
The studies of urban energy sustainability so far have not addressed the impact of urban built context as in its form and function on urban energy demand and supply in a systematic manner. This paper thus offers an agent-based modeling framework that couples contextual factors with energy demand and supply of an urban area to analyze their influence on urban energy performance through a set of metrics. The merits of the framework are established through a comparative case study of compact high-rise and compact low-rise urban areas with office and lodging buildings, having rooftop solar PV systems, in cold and hot-dry climates. The results exhibited significant differences in the performance of two urban built types, in terms of selfconsumption, self-sufficiency and net energy, which varied with building function and climate. This work through its framework and findings can benefit the design of energy policies and solutions for different urban contexts.
Brenda Corona Hernández (Khalifa University, United Arab Emirates)
In the UAE, the development of large suburbs seems to be the new spreading model form of new urban developments. However, major challenges arise from this spread urbanization such as satisfying the energy demand, particularly in the UAE where energy consumption is very high. Thus, the purpose of this study is to assess the sustainability of providing energy to developing neighborhoods in the UAE through solar PV technology. An economic approach of the development project was used to generate the analysis and determine the viability of this project. The CAPEX and OPEX are discussed and described in this work with all assumptions considered to be placed in the context of the UAE as per the financial parameter such as inflation rate, interest rate and tax rate.
14:15 - 15:45
EPS-D1-S2: Materials Science & Engineering
Engineering, Information Technology & Physical Sciences
Room 5
Chairs: Israr Ahmed (Khalifa University, United Arab Emirates), Mozan Hassan (United Arab Emirates University, United Arab Emirates)
Biofuel Production
Mariam Ahmed Mohammed, Sara Alkhoori, Dalaver Anjum, Maguy Abi Jaoude and Dinesh Shetty (Khalifa University, United Arab Emirates); Kyriaki Polychronopoulou (Khalifa University of Science and Technology, United Arab Emirates)
Hydrodeoxygenation (HDO) is shown to be a favorable route to upgrade the oxygenated bio-oil compounds in biofuels into fuel source comparable to traditional fossil fuels. This study is designing a bimetallic catalytic system focusing on tailoring surface basicity and modify the metal-support interface through adopting mechano-chemical principles. Prepared catalysts were studied using X-ray diffraction (XRD) and scanning electron microscopy (SEM) that concluded great promoter dispersion and preservation of morphology which agreed with the STEM-HAADF results. In addition, the BET experiment porosity results showed increase with promoter addition.
Mozan Hassan, Mohsin Suliman and Priya Dharshini Yuvaraju (United Arab Emirates University, United Arab Emirates); Emmanuel Galiwango (Ontario Tech University, Canada & UAE Unviversity, United Arab Emirates); Ihtesham ur Rehman (Lancaster University, United Kingdom (Great Britain)); Ali Al-Marzouqi (UAEU, United Arab Emirates); Abbas Khalil and Sahar Mohsin (UAE University, United Arab Emirates)
Synthetic bone graft substitutes have attracted increasing attention in tissue engineering. This study fabricates a novel, bioactive, porous scaffold that can be used as a bone substitute. Strontium and zinc-doped nano-hydroxyapatite and poly (lactide-co-glycolide) (PLGA) were used to fabricate composite scaffolds by the supercritical carbon dioxide technique. The scaffolds were characterized using XRD, FTIR and SEM. The scaffolds demonstrated bioactive behavior by forming crystals immersed in the simulated body fluid (SBF). The scaffolds also established favorable biodegradation after immersion in SBF, and the pH value of the medium was alkaline throughout the degradation period which favors the mineralization process. The synthesized scaffolds had an adequate average pore size of 189-406 µm. The fabricated scaffolds also showed ultimate compressive strength ranging between 0.4-19.8 MPa. A 2.5% Sr/Zn substituted nHAp-PLGA composite showed a compressive behavior resembling that of cancellous bone indicating it as a good candidate for cancellous bone substitute.
Louai Maghrabi and Nirpendra Singh (Khalifa University, United Arab Emirates); Kyriaki Polychronopoulou (Khalifa University of Science and Technology, United Arab Emirates); Dinesh Shetty (Khalifa University, United Arab Emirates)
In this paper, the effect of surface species modification on the performance of two-dimensional titanium carbides (Ti3C2) as hydrogen evolution reaction (HER) electrocatalysts is investigated using density functional theory (DFT). Surface functionalization using oxygen, fluoride, and hydroxide in the literature is heavily examined however limited to these species. The potential of chloride, sulfide, and bromide terminated titanium carbide is analyzed via DFT calculations of the electronic band structure and the density of state. The calculations have shown preservation of the metallic nature under all three species where the transition metals electrons, titanium, dominate the total density of state at the Fermi level. The electronic properties thus provide a better understanding of these materials and show sulfide, chloride, and bromide functionalized titanium carbide as promising future electrocatalysts.
Murad Ali (Khalifa University of Science and Technology, United Arab Emirates); Haider Butt (Khalifa University, United Arab Emirates)
The consistent developments in additive manufacturing processes are revolutionizing the fabrication of three dimensional (3D) parts. Notably, 3D printing is making progressive developments to fabricate optical devices such as regular lenses, contact lenses, waveguides, and recently, Fresnel lenses. But extended functionalities of these optical devices are also desirable. Therefore, we demonstrate masked stereolithography based fabrication of five-dimensional (5D) Fresnel lenses by incorporating color-change phenomena (4th dimension) using thermochromic powders that change color in response to external temperature variations (25-36 °C). The holographic diffraction effect (5th dimension) is produced by imprinting a diffraction grating during the printing process. Optical focusing performance of 5D printed lenses has been evaluated by reporting achievable focal length, with < 2 mm average deviation, without post-processing in the 450-650 nm spectral range. However, in near IR region (850-980 nm), the average deviation was around 11.5 mm. Enhanced optical properties along with surface quality have been reported.
15:15 Low-velocity Impact Behavior of Sandwich Panels: Numerical Study
Assil Charkaoui, Noha M. Hassan and Zied Bahroun (American University of Sharjah, United Arab Emirates)
This study investigates low-velocity impact of multilayer sandwich panels with an ‘X-type’ unit cell of different core volume fractions (10%, 15%, 20%). Finite element numerical models (ABAQUS) were used to evaluate the specific energy absorption of sandwich panels with different volume fractions and until cell direction (transverse and longitudinal). An impactor was used to simulate a drop weight impact test with a velocity of 2790 m/s. Results showed that the specific energy absorption of the sandwich panels significantly increases as the volume fraction of the core increases. The increase in the mass of the panels as the volume fraction increases is not significant as compared to the increase in specific energy absorption. Numerical simulations make it possible to assess several topologies and structures instead of costly experimental designs and tests.
15:30 Photonic Hydrogel for Continuous Glucose Monitoring Using Smartphone Readout
Israr Ahmed and Haider Butt (Khalifa University, United Arab Emirates)
Diabetes has become one of the leading deaths causes worldwide. Developing low-cost, rapid, and reusable sensors can provide a solution for continuous glucose monitoring to reduce diabetic complications that could be fatal. Here, Phenylboronic acid (PBA)-based hydrogel Optical fiber sensors with embedded photonic nanostructures were developed for rapid and continuous glucose quantification within the concentration range of 0 - 50 mM. The photonic nanostructures were imprinted on the PBA-based hydrogel using a simple and rapid process. A sensitivity of 1.5 µW/mM, along with a response time of 40 s, was documented for these sensors. The sensing capabilities of sensors were examined in both transmission and reflection configurations. The practicality of the sensors was tested using smartphone readout. The optical power was measured using a smartphone exploiting its photodiode, and the power changes were correlated with glucose concentrations. These developed sensors may have applications in remote and continuous glucose monitoring systems.
14:15 - 15:45
EPS-D1-S2: Physics & Planetary Science
Engineering, Information Technology & Physical Sciences
Room 8
Chairs : Firdous A Deader (Khalifa University of Science and Technology Abu Dhabi, UAE & Khalifa University, United Arab Emirates), Khadiga Imam (Earth Science & Khalifa University, United Arab Emirates)
14:15 Electric field Induced gold nanoparticle settling on Si substrate
Firdous A Deader (Khalifa University of Science and Technology Abu Dhabi, UAE & Khalifa University, United Arab Emirates); Moh'd Rezeq and Yawar Abbas (Khalifa University, United Arab Emirates)
Nanobiosensors are a new type of biosensors that are being developed as a result of nanotechnology. A biological recognition molecule is frequently mounted on the surface of a signal transducer in nanobiosensors. The efficacy of the nanobiosensor depends in part on the design of the biosensing interface since the interaction between the biorecognition molecule and the analyte is a heterogeneous reaction. Developing a Nanobiosensors require a precise method to make a monolayers of nanoparticles on silicon surface for sensing application. Here, we devoloped a method to successfully form a monolayer of NP on silicon surface using the effect of high electric field on negatively charged citrate-capped gold nanoparticles. We also developed the simulation on COMSOL software to see the effect of electric field on these negatively charged AuNPs.
14:30 The Cosmological Constant as a Geometric Invariant
Jack C M Hughes and Fedor Kusmartsev (Khalifa University, United Arab Emirates)
We show that the cosmological constant is a geometrical invariant inherent to four-dimensional General Relativity. The cosmological constant is responsible for a global arrow of time within the theory, a consequence of the presence of a symmetry within the space of 2-forms. Furthermore, this symmetry provides an explanation for the observed dark energy dominated universe.
14:45 Mars Potential Desiccation Polygons (PDP)
Khadiga Imam (Earth Science & Khalifa University, United Arab Emirates); Mohamed Ramy ElMaarry (Associate Professor, United Arab Emirates)
Potential desiccation polygons (PDPs) are one of the surface features on Mars which have been observed in a wide range of scales from cm to tens of meters using different space mission platforms. PDPs are mainly observed in sedimentary rocks especially in fine grained strata. Studying PDPs would assist in better understanding the water history of Mars.
15:00 Spectroscopic Characterization of OH molecule within the Martian Atmosphere
Rania Abdallah Al Abdallah, Mubarak AlMehairbi, Marko Gacesa and Nayla El-Kork (Khalifa University, United Arab Emirates)
New extensive line lists for the B2S+ - X2P electronic transition of OH radical have been investigated. These line lists include line intensities, line positions with the relevant quantum numbers of the upper and lower states, e/f parity, Einstein A coefficients and oscillator strengths. The intensities are found based on calculated ab-initio Transition Dipole Moment Function (TDMF) and Potential Energy Curves (PEC), obtained using a computational chemistry program MOLPRO. LEVEL program is used to compute Transition Dipole Moment Matrix Elements (TDMMEs). These matrix elements were converted from Hund's case (b) to Hund's case (a) as needed for Western's PGOPHER program in order to calculate the line lists. These line lists can be used to recognize OH signatures in observed astronomical spectra and better predict their abundances in stellar and planetary atmospheres.
15:15 Carbon nanoparticle emissive pathways controlled by selective surface functionalization
Basim Al Farsi and Hamood Al Shidhani (Sultan Qaboos University, Oman)
Carbon nanoparticles (CNPs) have a lot of potential for use in a variety of applications. The functional groups significantly influence the absorption and emission properties of the NPs on their surface. The precise function of functional groups as well as the effective emission mechanism of CNPs, are still unknown. Quantifying the oxygen-based function groups on the surface of activated carbon (AC) nanoparticles and their impact on the emission characteristics have been the focus of this thorough work. Following the activation of mandarin peel green waste, AC samples were further processed to achieve various levels of surface functionality for different oxygen-containing functional groups, including carbonyl, carboxyl, phenol, and lactone. The functional groups were identified, and their sizes were calculated using a variety of characterization approaches. A thorough emission investigation identified the function of particular functional groups in the emission process. Significant findings from this study may help clarify CNP emission mechanisms and the crucial functions of surface functional groups.
14:15 - 15:00
Poster-D1-S2-A: Poster Session - 2A
All Tracks
Room: Ballroom 3&4
Chairs : Balqees Saeed Almazrouei (Khalifa University & Na, United Arab Emirates), Omar Mohamad Chaabi (Khalifa University & NA, United Arab Emirates), Farrah Zafar (The British University in Dubai, United Arab Emirates)
Alanood Abdulla Alzaabi (Khalifa University, United Arab Emirates); Faisal A AlMarzooqi (Khalifa University & Masdar Institute, United Arab Emirates)
Ammonia electrolysis is a promising method for the production of hydrogen fuel, but the performance and durability of the catalysts used in the process are critical factors that determine its efficiency and cost-effectiveness. In recent years, various enhanced materials have been proposed as catalysts for ammonia electrolysis, with the goal of improving the efficiency and stability of the process. This paper reviews the recent developments in enhanced material fabrication for ammonia electrolysis, focusing on the materials that have shown the most promise in terms of electrocatalytic activity and stability. The paper also highlights the current challenges and future directions in the field.
Baheya M. Alremeithi (Khalifa University, United Arab Emirates)
Heavy metal wastewater can be practical in the energy transition agenda by providing alternative energy sources [2]. Hydrogen is a promising clean energy carrier for the energy and carbonconstrained economy requirements. Green hydrogen can be generated using electrolysis supplied with renewable electricity sources. Acidic industrial wastewater with 0.5 M H2SO4 can be utilized as an electrolyte for the electrochemical splitting into hydrogen. Linear sweep voltammetry (LSV) tests done using Pt/C on graphite showed that using industrial wastewater have a comparable performance with DI water for HER.
Thermochemical conversion of CO2/H2O using perovskites
Muhammad Usman, Giovanni Palmisano, Georgios Karanikolos and Khalid Al Ali (Khalifa University, United Arab Emirates)
This study outlines screening of novel perovskites for solar thermochemical fuel production via splitting H2O/CO2 to H2/CO. Novel compositions of the Perovskites are synthesized via sol-gel method. Redox experiments are carried out in TGA & oxygen non-stoichiometry is used in defect modeling of perovskite. XRD, SEM, ICP-AES are used for characterization of perovskites both pre and post redox experiments.
Sarah Alblooshi and Faisal Al Marzooqi (Khalifa University, United Arab Emirates); Shubra Lalwani (Postdoctoral Fellow, United Arab Emirates)
With the globe looking for ways to reduce its dependency on fossil fuels, hydrogen is a promising renewable energy source. Green hydrogen can be generated using electrolysis. In recent years, increasing human activity has raised both the level of waste produced and energy demand. Heavy metals are among the most common pollutants found in wastewater including zinc (Zn), lead (Pb), iron (Fe), and chromium (Cr), which are toxic even at low concentrations. This project proposes a hybrid system of membrane distillation and hydrogen generation hybrid system that uses heavy metal wastewater to produce hydrogen. Because membrane distillation has a very high rejection of pollutants, it ensures that very small amounts of heavy metals are present in the permeate. In this work, we aim to analyze the effect of heavy metal ions on H2 evolution and examine the possibility of using this wastewater as an electrolyte for green hydrogen generation,
Basil Alattar and Mehdi Ghommem (American University of Sharjah, United Arab Emirates)
In this work, we discuss an experimental technique to detect and measure the extend of hysteresis in the response of electrostatic MEMS resonators. The device-under-test is made of a microcantilever beam subjected to electrostatic actuation. As the excitation voltage is increased, and at a specific critical point, a cyclic-fold bifurcation occurs. This is manifested by sudden jumps in the response of the resonator. The hysteresis bandwidth is quantified by performing several forward and backward frequency sweeps while varying the excitation voltage beyond the bifurcation threshold. The location of the bifurcation point during the forward and backward sweeps are different, due to the change in the system’s initial condition, and the distance between them increases as the voltage is increased, and thus creating a hysteresis region.
- experimentation and perspective
Essa Ansari (Khalifa University, United Arab Emirates); Nicolas Ferber (Mechanical Engineering, Khalifa University of Science and Technology, United Arab Emirates); Ludovic Dumée and Nicolas Calvet (Khalifa University, United Arab Emirates)
The United Arab Emirates (UAE) is one of the water scarce nations with one of the highest rates of water consumption. To meet this demand the government, rely on desalination and groundwater which has climatic consequences. The hot and humid climate and omnipresence of air conditioning system makes this place an ideal location for condensate recovery. This experimental study investigates the feasibility of condensate recovery in Khalifa University buildings. The G+5 building consisting of a Fresh Air Handling Unit (FAHU) of 7878 Litres/second air flow rate reports that an average of 2000 L/day of condensates can be recovered.
Effectiveness of Clinical Simulation-Based Cardiopulmonary Resuscitation Training Program among Primary Health Care Nurses in Bahrain
Kawther Alshaikh (University of Bahrain, United Arab Emirates); Leena Khonji (University of Bahrain, Bahrain)
Cardiac Arrest (CA) is an emergency that occurs suddenly without signs and symptoms requires immediate medical intervention to initiate cardiopulmonary resuscitation (CPR). This study aimed to evaluate the effectiveness of Basic Life Support simulation-based training program on primary health care nurses’ knowledge, skills, and self-efficacy. Quantitative pretest posttest quasi experimental design was employed in the study. Convenience sampling technique applied by recruiting 76 participants who were working in the primary healthcare sector of one region in Bahrain. During pre-test, questionnaires were distributed by the researcher to assess variables. Participants’ skills of CPR were evaluated by using the skills checklist. Clinical simulation provided by a certified instructor to participants. After that, a post-test was given same as the pre-test. Results of pre-test showed moderate level of knowledge, skills and self-efficacy among nurses. The results showed significant improvement of all variables among participants in post test (P< 0.001).
Existential Psychotherapy for Depression: A Young Man’s Quest for Freedom: A Case Study in the UAE
Aisha Alowais (United Arab Emirates University, United Arab Emirates); Maria Susana Campo-Redondo, Miss (United Arab Emirates University UAEU & None, United Arab Emirates)
Moderate depression that is based on rumination about life meaning and death, is best helped by existential therapy. Where the bases of therapy are philosophical and helping the individual rebuild meanings and values of life. The purpose of this case study is to demonstrate how an existential approach to therapy can be used to treat existential depression in a young man, “Yusef”, with depressed mode stemming from rumination about death, life, human values, and relationships. This case study provides a summary of 6 sessions case conceptualization and suggestions for treatment.
Mahboobeh Abdolrahman (University of Sharjah, United Arab Emirates)
Global brands use social media to create brand awareness and increase sales. These brands overcome the border constraints by creating high-quality content to create brand recall and influence the purchase intention of social media users. Therefore, this research aims to examine the influence of the social media accounts of global brands on the youth’s purchase intention in the UAE. This research uses Reasoned Action Theory to identify the influence of individual and normative factors on the youth purchase intention of brands. An online survey was circulated to a total of 104 participants aged 18-35 years old. The results enhanced that social media influence the future purchase intention of the youth in the UAE. Also, it demonstrated a significant relationship between purchase intention and brand familiarity, the quality of social media content of brands, and the youth’s perceptions. In contrast, there is no significant relationship between youth involvement and purchase intention.
Navjot Kaur (United Arab Emirates University, Al Ain, UAE, United Arab Emirates)
Date palm cultivar ‘Khesab’ is one of the most popular cultivars in the United Arab Emirates. However, after harvesting, the fruit begins to lose firmness, color, flavor, and overall quality characteristics, lowering its market value. To overcome this, the postharvest loss should have to be reduced. Therefore, the objective of this study was to investigate the effect of postharvest dip application of a natural elicitor chitosan alone (Ch) 1% and in combination with vanillin (Van) 1%, Orange essential oil (EO) 0.2% and salicylic acid (SA) 2mM on the quality parameters, storage life, bioactive compound content, antioxidant activities during cold storage (2 ºC) for 2 months. The natural combinations Ch+ Van and Ch+SA used in the present study were found promising in improving the storage life and quality of ‘Khesab’ date fruit during cold storage
SUNDAY, MARCH 19
A Direct Torque Control of Three Level Dual Inverter Fed Open Ended Winding Induction Motor Drive
Kaif Ahmed Lodi (Khalifa University, United Arab Emirates)
The direct torque control (DTC) induction motor (IM) drives is prominent for a wide variety of industrial applications. However, it has the drawback of having a larger torque ripples. The number of voltage levels appearing across the stator winding of IM effects the torque performance of the DTC IM drives. Dual inverter fed open end winding induction motor (OEWIM) gives performance similar to normal singleended IM powered by a three-level VSI, thus increasing number of switching vectors. In this project the effectiveness of OEWIM drive is examined. Simulation results are presented for single ended IM and OEWIM drive. The results presented shows an improved torque ripples profile.
Development of Cellulose-based Composite Adsorbents for CO2 capture
Marcellin Premila Jerome (Khalifa University, United Arab Emirates); K Suresh Kumar Reddy (Khalifa University Abu Dhabi UAE, United Arab Emirates); Georgios Karanikolos and Nahla AlAmoodi (Khalifa University, United Arab Emirates)
One of the major environmental concerns at present is the increase of CO2 levels due to anthropogenic activities. Also, the accumulation of waste paper in landfills is a growing issue that needs to be addressed. This research aims at exploring solutions for both problems. Specifically, office paper which is a rich source of cellulose (the most abundant biopolymer in the world) is studied. Cellulose is inexpensive, non-toxic, and can be easily functionalized with CO2-philic functionalities due to the presence of hydroxyl groups. To enhance the CO2 uptake of cellulose-based materials, composites were synthesized here, and the one chosen is based on graphene oxide (GO). The synthesized cellulose-GO aerogels were evaluated for CO2 adsorption as a function of temperature and relative pressure.
Leen M Tabbara, Michele Lanotte and Chung Cho (Khalifa University, United Arab Emirates) This paper discusses the use of the Social Life Cycle Impact Assessment (S-LCA) tool as a means of integrating sustainable development into decision-making. This paper highlights the recent breakthroughs and implementations of SLCA in the field of civil engineering systems and materials and proposes ideas for future areas of research.
Jailan Elosta (The British University in Dubai, United Arab Emirates)
The aim of the study is to improve the understanding of the impact of principal leadership on effective learning and school improvement by systematically reviewing twenty-one articles. Identifying the successful model/trait of leadership is a scope of interest related to the field of the researcher. The impact of the principalship model in paving the path for effective learning and school improvement needs to be the focus of any ambitious principal aiming at becoming an effective leader to provide the best education to the students. This study addresses the conceptual confusion related to understanding the role of principal leadership on effective learning and school improvement. Furthermore, it will demystify the field and pave the route for a greater future conceptual clarity.
Rachael Zayne and Philip McCarthy (American University of Sharjah, United Arab Emirates) Research suggests Emirati females academically outperform their male counterparts. With consistently lower achievement, male students are not surprisingly under-represented in higher education. These discrepancies may be explained by student motivation and attitudes required to achieve university criteria. As such, this paper explores the differences in male and female attitudes and motivation in their commitment to developing their English skills. The proposed study will gather data on motivational factors using a modified 60-item questionnaire based on Gardner’s (1985) survey. Furthermore, the research will involve 80 university students within the United Arab Emirates. A series of t-tests using RStudio will also be used to compare male and female responses to motivation questions. If gender disparities influence English motivation, it may assist in modifying curricula to promote male academic success and increase admissions into higher education.
Spectral classification of selected stellar X-ray sources in the Small Magellanic Cloud (SMC)
Fatima Mohammed Alkhateri (University of Sharjah & Sharjah Academy For Astronomy, Space Sciences and Technology, United Arab Emirates); Antonios Manousakis (University of Sharjah & Sharjah Academy for Astronomy, Space Science, and Technology, United Arab Emirates)
We presented a spectral classification of several X-ray sources in the Small Magellanic Cloud(SMC), that are selected with Chandra X-ray Observatory. We followed up a spectroscopic campaign with the Visible Multi Object Spectrograph(VIMOS) instrument on the 8.2m Very large Telescope(VLT) telescope of the European Southern Observatory(ESO) in Chile. This allows us to identify and characterize the optical counterpart of the Be X-ray Binaries population through a conducted survey of representative regions of the SMC and X-ray luminosities down to ~4x10^32 erg/s. Consequently, the most complete census of BeXRBs outside our Galaxy in regions with different star formation histories will be obtained. As a result, the spectral type of the donor stars along with the mass distribution in these systems within the SMC will be determined. The importance of this project is evident in the ability to establish and compare the donor-mass distribution in various populations for the very first time.
walls
Mohammed Kamran Khan and George Mylonakis (Khalifa University, United Arab Emirates)
A quay wall is an earth retaining structure which is used to dock floating vessels and transfer goods. Mostly, limit state methods are used to calculate the seismic earth pressures acting on retaining walls and quay walls. In these approaches, the horizontal body force in an active soil wedge is used to represent the impacts of earthquake shaking. These methodologies are a poor representation of the underlying mechanisms that result in seismic earth pressures, which are dependent on relative wall soil displacements. These displacements are caused by soil structure interaction, which is primarily affected by the ratio of wavelength to wall height and the relative flexibility of the wall to the soil. The current research is focused on the soil structure interaction approach for analysis of seismic pressures in Quay walls. With the advent of the proposed design framework, it is anticipated that traditional design methods will gradually reach retirement.
Cortical Activation Assessment Using Functional near Infrared Spectroscopy Neuroimaging (fNIRS) During Reading Arabic Stimuli for Students with Dyslexia and Typically Developed Students
Elazab Elshazly (UAE Special Education, United Arab Emirates); Mohammed Safi (United Arab Emirates University, United Arab Emirates)
This study evaluated the changes in cortical activation parameters in terms of oxyhemoglobin, deoxyhemoglobin, hemoglobin difference, and total hemoglobin concentrations observed in the brain (cerebral cortex) of 14 3rd grade students during reading Arabic tasks. These concentrations were measured using a functional near infrared spectroscopy (fNIRS) device. Using an experimental block design, the students were asked to complete 3 Arabic reading tasks with each task consisted of 2 rounds. The obtained cortical activation parameters values for TD students were significantly higher (p < 0.05) when compared with Dys students, which confirmed that TD students exhibited higher brain activities. Performance evaluating tests were further applied on all students were the number of errors committed and time required to finish the task (latency) were recorded. As far as we know, there are few studies that investigated cortical activation using fNIRS and none has examined these hemodynamic changes associated with reading Arabic skills.
Development of an active biodegradable polymer blend based on PLA & PHA
Malak Abdulla Ahmed and Imane Belyamani (Zayed University, United Arab Emirates); Loubna Najemi (International University of Rabat, Morocco)
Public awareness of the detrimental environmental impacts of petroleum-based plastics has grown. Bio-based polymers are becoming a more appealing choice for use in the plastic industry. This study provides an overview of the possibility of blending Polylactic acid (PLA) and Poly(Hydroxyalkanoates) (PHA). The conducted lab-scale tests demonstrated the potential of creating 60 wt.% PLA/ 40 wt.% PHA. The results showed signs of immiscibility, however, adding glycerol and an antimicrobial agent depicted a coupling agent-like behavior since the interphase of the binary blend has almost disappeared. Also, the antimicrobial agent significantly delayed the film’s biodegradability, which showed a promising approach for the development of active food packaging.
Stress Normalization of CPT Responses for Calcareous Sands in Abu Dhabi
Deepa Kunhiraman Nambiar (Khalifa University & None, United Arab Emirates)
Reclaimed islands in Abu Dhabi are typically constructed by the dragged materials from the seafloor. Mineral composition of the material includes calcium carbonate (CaCO3) by the biological process. These materials are crushable by the application of pressure; hence, the particle shapes and soil behaviors change depending on applied stresses. The study characterizes these soil behaviors for the dragging materials through laboratory tests. Hence, the evaluation of soil state is complex because the maximum and minimum void ratios also change. This study provided the solution for improved understanding of static and dynamic behavior of calcareous sand, pressure dependent evaluation of compacted soils by considering the crushability of particles. These studies are useful to understand the performance over the reclaimed Islands.
Safa Fadl ELdin Mohamed Ahmed (United Arab Emirates University, United Arab Emirates); Ruth Cardinaels (KU Leuven, Belgium); Abdul-Munam Abdul-munam (Sultan Qaboos University, Oman); Muhammad Zafar Iqbal (UAE University, United Arab Emirates)
One of the key bio-based polymers, poly (ethylene furandicarboxylate) (PEF) has been predicted to replace the widely used poly (ethylene terephthalate) (PET) for many applications, which requires developing fundamental understanding of various properties and applications of PEF before commercialization. Herein, we report compatibilized blends of PEF/polyolefins via melt extrusion and benchmarked against similar PET blends. A preferred compatibilization was achieved via using two structurally different compatibilizers where one was conventional for PET on commercial scale. Various novel morphologies were observed in 50/50 PEF/PE and PET/PE blends by varying compatibilizer concentration. Increasing concentrations of the compatibilizers led the morphologies from fibrous to co-continuous structures for PET/PE blends, while using different compatibilizers produced diverse morphologies (fibrous and dispersed) for PEF/PE blends, where each morphology is suitable for a different application.
Syed Mohammed Sajl (Khalifa University, United Arab Emirates)
Buckypapers with thickness of more 400 µm are very important for many applications such as Radar Absorbing Materials (RAM), Electromagnetic interference shielding (EMI), supercapacitors and lithium-ion battery (LIB). CNT Buckypaper is a thin sheet made from an aggregate of carbon nanotubes, literature studies show the thickness of single buckypaper produced by film casting method is in the range of 40-100 μm1. This study shares the preliminary work carried as an attempt to produce super-thick bucky papers by film casting process.
Sona Alyounis (Khalifa University, United Arab Emirates); Leontios Hadjileontiadis (Khalifa University of Science and Technology, United Arab Emirates); Cesare Stefanini (Dean, Italy); Ahsan Khandoker (Khalifa University of Science, Technology and Research, United Arab Emirates)
Heart Failure (HF) is referred to be an increasing global pandemic that affects approximately 26 million persons worldwide.
Early detection of HF (Preserved, Midrange and Reduced) would allow for early intervention methods to be used, which would significantly reduce the number of emergency hospital admissions, improve life quality, lower the danger of dying prematurely soon and global financial burdens. Effective detection of heart failure classes is not easy to be determined with absolute certainty, since the symptoms and indicators are not typically clearly apparent noninvasively, it is still a difficult scientific problem. This research aims at classifying of heart failure types based on the easily collected ECG features and AI tools. Deep CNN and LSTM Architectures trained on classification of the three categories of HF is proposed. The validation results conducted using ECG signals datasets and CNN, LSTM models confirmed an accuracy of 81.1%, 72.2% respectively.
A Novel Deep Anomaly Detection Approach based on Implicit Rack Minimization and Deep SVDD Abdulkarim Mohammed Mamoun Katbi (University of Bahrain & King Hamad University Hospital, Bahrain); Riyadh Ksantini (University of Bahrain, Bahrain)
Anomaly detection is an important topic that is highly prevalent in multiple domains. Anomaly detection is used to detect abnormal events that could either have a catastrophic impact or reveal new insights or discoveries in the scientific domain. The exponential growth of generated data and its complexity has rendered many classical ML approaches from being effective in finding anomalies. Therefore, Deep learning approaches, like autoencoders, are used for feature reduction and representational learning. Autoencoders lack an explicit mechanism to force a more homogenous distribution of the data in the latent space. This research proposes an anomaly detection approach that jointly minimizes the covariance matrix of the latent space to make it more homogenous while performing a Deep SVDD function to surround the normal data and detect anomalies. Initial experiments on the MNIST dataset show promising results that compete relevant ML and state-of-the-art DL approaches.
Maithah Alaleeli (Khalifa University & KU, United Arab Emirates)
To evaluate quantitatively the effects of individual thermo-physical and thermo-chemical cladding properties on the coping time, an unmitigated large break loss of coolant accident was simulated using Modular Accident Analysis Program code. For this purpose, hypothetical cladding materials were created to decompose the influence of each property enhancement. The degrees of variations in the cladding properties led to significantly different degrees of variations in the cladding coping time. When the coping time was defined as the time elapsed between departure from normal operation and the moment at which fuel rods meltdown, the specific heat (enthalpy) and melting temperature of cladding materials were identified as properties extending the coping time most. The improved oxidation resistance could extend moderately the coping time. On the other hand, the thermal conductivity had no effect on the coping time.
Exploring the Use of ESL Repair Strategies during and After Covid-19
Eman Rababa (United Arab Emirates University, United Arab Emirates)
This study aims to examine the repair/correction strategies the L2 teacher uses in her classroom and the extent to which the teacher encourages learner output and self-initiated, self-completed repairs in her teaching practice over one week of classroom observation before and after the covid-19 pandemic. A post-observation interview was conducted with the volunteered teacher to have in-depth knowledge and understanding of the repair strategies she follows in her classroom and the teacher’s perception of the repair strategies. Eight online sessions were observed during the pandemic, and five sessions were observed after the pandemic. The results of the present study revealed that self-initiated self-repair was the most used strategy by the students as they are considered advanced learners. It’s recommended that the teacher encourage students’ interaction and allow them to talk about their experiences as this would help them to develop their language. Moreover, it could be due to cultural factors.
The Relationship Between Finance and Non-Finance Disciplines in Research - Analysis of Theoretical Framework and Empirical Methods of Articles Studied in the Seminar Course
Manar Saeed Lootah (American University of Sharjah & AUS, United Arab Emirates)
The discipline of finance has always been interrelated informing and influencing other disciplines in business administration from theoretical and empirical perspectives. The discipline of finance has evolved considerably to absorb the requirements to develop new theories and practices in research. This resulted in connections and synergies between research theories and practices in finance and other areas of business administration such as economics and accounting. This paper aims to identify synergies and connection points in theoretical framework and methodologies between research in finance and other business disciplines with reference to articles studied and analyzed in the seminar course. The paper emphasizes that finance is closely connected to accounting and economics disciplines in terms of theoretical framework. The paper explores the relationship between finance and non-finance disciplines in terms of methodologies and the use of data. The paper also highlights the commonalities in research across different business disciplines.
Mohammed Farook Maricar (American University of Sharjah & Tangent Technologies LLC, United Arab Emirates); Amer Zakaria and Nasser Qaddoumi (American University of Sharjah, United Arab Emirates)
This work implements a deep neural network to resolve the electromagnetic inverse scattering problems. The conventional approaches using inversion algorithms encounter challenges such as high contrast, and high computational costs. Various deep-learning techniques have been proposed to tackle these issues over the years. In this work, a deep convolutional neural network encoder-decoder architecture is implemented and tested with complex inputs obtained by backpropagating (BP) the measured scattered field. The simulation results show that the implemented deep learning method can effectively enhance the image reconstruction quality at much lesser time.
Fatemah Abdulrazzagah (University of Sharjah, United Arab Emirates); Maryam Naser Alqaydi (United Arab Emirates University, United Arab Emirates); Alya Naser and Syarif Junaidi (University of Sharjah, United Arab Emirates)
This study evaluated the elastic properties of unidirectional titanium carbide (TiC) fiber-reinforced aluminum matrix composites (AMCs) with different weight fractions of fiber up to 0.05 using a micromechanical approach. Two approaches were presented for calculating material properties: numerical and analytical. In the numerical approach, finite element analysis was applied based on a three-dimensional micromechanical representative volume element (RVE) with a square and hexagonal packing geometry, using the finite element code ANSYS ADPL. Periodic boundary conditions are applied to the RVE to calculate the elastic modulus of the composite from the constituent material properties. In the analytical approach, the elastic modulus is determined by the rule of mixture, the Halpin-Tsai model, and periodic microstructure. material properties obtained using finite element techniques were compared with different analytical methods and reasonable agreement was achieved. results are affected by several parameters such as the weight fraction of the fibers, and the geometry of RVE.
Zeina Aboulhosn (Khalifa University, United Arab Emirates); Zeyar Aung (Khalifa University of Science and Technology, United Arab Emirates)
Ensuring the quality of steel is a vital aspect of the steel manufacturing process. While manual visual inspection is still commonly used, it is a time-consuming and inefficient method. Despite this, automated visual inspection has not yet been widely adopted due to concerns about accuracy and a lack of familiarity with the technology. However, automatic defect detection systems have the potential to improve significantly the quality of steel products. In particular, convolutional neural networks (CNNs) have demonstrated strong performance on image localization and classification tasks. There is still much room for improvement in terms of the accuracy and robustness of these algorithms, as well as their practicality of use. In this paper, we aim to segment accurately steel surface defects using CNN approaches, focusing on semantic segmentation techniques and experimenting with U-net and FPN architectures with different backbones.
15:00 - 15:45
Poster-D1-S2-B: Poster Session - 2B
All Tracks
Room : Ballroom 3&4
Chairs : Basil Alattar (American University of Sharjah, United Arab Emirates), Alanood Abdulla Alzaabi (Khalifa University, United Arab Emirates), Leen M Tabbara (Khalifa University, United Arab Emirates)
Review: Recent Advances in Polymeric Hydrogels for Atmospheric Water Harvesting
Amira Salaheldin Mohammed Ali (Khalifa University of Science and Technology & Center of Membrane and Advanced Water Technology (CMAT), United Arab Emirates); Fawzi Banat (Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates); Faisal A AlMarzooqi (Khalifa University & Masdar Institute, United Arab Emirates); Maguy Abi Jaoude (Khalifa University, United Arab Emirates); Shadi Wajih Hasan (Khalifa University of Science and Technology, United Arab Emirates)
Water scarcity is a pressing issue in many areas, particularly arid areas and areas with no direct water supply. To solve this problem, researchers are turning to water captured from the air by developing new materials that are able to collect the humidity and transfer it to potable water. Water adsorption by hydrogels is a promising atmospheric water harvesting (AWH) technique. In this review, we focused on hydrogel because of its high water uptake, and relatively low cost.
Fatema Mohamed Alkhouzaei (University of Bahrain, Bahrain)
Lumbar functional instability (LFI) may be associated with chronic low back pain (CLBP). Various therapeutic exercises were proposed to enhance spinal stability, such as core stability exercises (CSE) and deep breathing training (DBT). However, no study examined and compared the effectiveness of delivering these exercises as an online program on patients with CLBP and LFI.
Moustafa Abdelwanis and Andrei Sleptchenko (Khalifa University, United Arab Emirates)
We optimize skills and priorities assignments of a multi-skill, multi-server repair facility that produces ready-to-use spare parts. The facility has one inventory that supplies ready-to-use spare parts if available, and if they are not available, they are backordered. We develop a two-stage simulation-based Variable Neighborhood Search framework. The first stage optimizes the skill assignments to different servers with no priorities, While the second stage optimizes the assignments of fixed priorities to different tasks. We compare the cost savings of optimizing preemptive priorities to the cost of optimizing skill assignments with no priorities.
Abdelhamid Khaled Ads (Khalifa University, United Arab Emirates); Maryam Rashed AlShehhi (Khalifa University, Civil, Infrastructure and Environmental Engineering & MIT, United Arab Emirates);
Mohammed Al Kobaisi (Khalifa University, United Arab Emirates)
the water potential in the soil is influenced by various factors such as the liquid-gas surface tension, contact angle, surface roughness, capillary rise, the shape of soil pores, and surface interfaces. As a result, studying the behavior of capillary flow within microchannel structures that mimic the spaces between soil particles is crucial for understanding soil water potential. This research uses an energy balance to formulate the governing equation for the rate of liquid capillary rise in a channel. The derived formula is analyzed numerically, and the rise rate behavior for different hydraulic diameters and cross-sections is compared. The results indicate that a rapid rise is observed at the start of the flow, and the rising rate in the triangular cross-section is the fastest, followed by the square sections, and the slowest is the circular one. In other words, using a non-circular cross-sectional shape can enhance the capillary flow rate.
The Economic, social, and environmental impacts of a 4-day workweek on a governmental organization in Sharjah, United Arab Emirates
AbdelAziz AlOwais (British University in Dubai, United Arab Emirates)
To specify the social, economic, and environmental impacts of a 4-day workweek on a governmental organization and its employees. The Research problem revolves around what are the impacts of the new decision on the organization, which was answered by the top managers and the regular employees, as that decision does impact their lives as well. In order to accumulate the data with utmost integrity and respect, the researcher has prepared several questions, which are answered by the named participants in the form of an interview. Besides obtaining first-hand information from organization X's managers and employees, the researcher further enriched the proposal by identifying the relevant themes related to the topic of the research and further moved on to underscore each one of them respectively. Hence, the primary data obtained, and the thematic analysis will provide present, new and factual information regarding the subject under study.
Juan Carlos Flores Lara (Khalifa University, United Arab Emirates)
The thriving urbanization of the UAE has led to a significant increase in the generation of construction and demolition waste. The creation and stimulation of a market for products derived from this industry's waste have appeared as an intervention to divert waste from landfill sites, where it accounts for more than the 70% of the total solids. This paper explores the literature to identify what are the key factors affecting the creation of the aforementioned markets, along with their enablers, in other regions of the world. It analyzes what can be the suitable strategies to foster a study that can lead to the effective development of a framework, to implement a market for recycled products from the waste of the construction and demolition industries in the UAE.
Krishna Santhosh (Khalifa University, United Arab Emirates)
Earthfill dams are critical infrastructure and perform as a system by integrating various structural components such as core, shell, filter, outlet and spillway. It is important to identify the dynamic responses of earth dams to analyse the displacement of the dam at different locations. This paper uses mathematical analysis to identify the dam responses through the shear beam approach. The characteristic differential equation for the dam using Bessel functions and the corresponding response parameters for different modes are obtained. Moreover, the regression analysis by Park and Kishida is compared with that of Gazeta's review to approximate the various dynamic parameters of the proposed earth dam.
Navana Hemanth, Musamat Umma Saifa, Ashiba Ashik and Mehrin Sherif (Medical College, United Arab Emirates)
To assess the contraception utilization pattern and its influencing factors among women in the reproductive age group in Ajman, UAE. Cross-sectional study conducted among 209 participants of the reproductive age group (18-44 years) were recruited from University hospital, malls and residential areas in Ajman. Interviewer-administered validated questionnaire was used for data collection. Descriptive statistics to describe study population and Chi-square test for association between variables utilized. P value ≤ 0.05 set as statistically significant. Participants who considered partner's wishes as very important (80.8%) and influenced by cultural background refrained using contraceptives (72.5%). Participants with education above undergraduate level (31.3%) used contraception more than participants with husbands education above undergraduate level (26.3%).
The utilization of contraception was 47%. Nationality, husband's education and live births determined use of contraceptives. Healthcare professionals helped spread awareness. Complications in previous pregnancy, partner and family's influence and belief that contraception influences hormones caused discontinuation of contraceptives.
Balqees Saeed Almazrouei (Khalifa University & Na, United Arab Emirates); Habiba Alsafar (Khalifa University of Science, Technology and Research, United Arab Emirates)
The convergence of advances in systems medicine that is predictive, preventive, personalized, and participatory (P4), is expected to promote the prevention of chronic diseases such as diabetes, and obesity. Currently, the key goal is to identify an accurate diagnosis of prediabetes as a sufficient early predictive power. We propose to study the proactive approach of P4 medicine by utilizing multi-omic longitudinal data to look for signs of disease risk factors in Emiratis. Throughout a 9-month period, we will offer coaching recommendations based on the genetics and clinically actionable data. This study will take different approaches from previous studies, in that it will develop protocols for a personalized medicine program in the UAE, for the first time, which will create a customized P4 intervention regimen that positively impact the health status. Furthermore, it will quantify the impact of phenotypic factors that are associated with the progression of cardiovascular diseases of Emiratis.
Richu Raju Richi (American University of Sharjah, United Arab Emirates); Ghaleb Husseini (AUS, United Arab Emirates)
Liposomes are one of the most versatile nanocarriers, with the ability to encapsulate drugs and allow for the conjugation of receptor-specific ligands on their surface to enhance tumor specificity and minimize the adverse effects on healthy cells [1]. Diffuse Intrinsic Pontine Glioma (DIPG) is a tumor predominantly occurring among children. This tumor originates in the pons of the brainstem, making surgical resection and other established modalities of chemotherapy inaccessible [2]. Our study involves the conjugation of the monoclonal antibody Cetuximab, which inhibits the Epidermal Growth Factor (EGF) receptor found on DIPG cells [3], to the surface of poly-ethylene glycol (PEG)liposomes, while encapsulating the chemotherapeutic drug Doxorubicin (DOX). The effects (cumulative fraction release and kinetics) of low-frequency ultrasound-mediated release of DOX will be studied, followed by in-vitro studies on cell viability and cytotoxicity on DIPG cells using flow cytometry and MTT assay analysis, respectively.
Ensuring Thermal Comfort Levels in Museum Through Enhancing Natural Ventilation Performance by Applying Wind-Catcher Technique A CFD-Simulation Analysis, The Case Location in Amman, Jordan
Reema AbdAllah Tobeishat (The British University in Dubai, United Arab Emirates)
This paper proposed various configurations of Wind-Catcher as passive cooling techniques for enhancing natural ventilation and cooling performance of the proposed museum building in a sub-urban region under a hot-arid climate in Amman, Jordan. The study created comparative parametric analysis strategies of Wind-Catcher based on the top roof shape, cross-section, vents opening characteristics, height, and distribution of two towers of the base-case by using Integrated environmental solutions (IES-ve) software tool integrating with Macro-Flow and Micro-Flow-CFD applications. The final simulation results revealed significant variations across all configurations as well as met the required thermal comfort rate for an indoor museum, and achieved better performance than the cross-ventilation of the existing side windows of the base case. All considered scenarios confirmed the capability of Wind-Catcher efficiency in reducing indoor air temperature and improving the entire thermal variables in comparison to the base case scenario.
Asarudheen Abdudeen (United Arab Emirates University, United Arab Emirates); Alhuda Muhammed Ismail Kunju (Govt Thiruvarur Medical College, India); Jaber Abu Qudeiri (UAE University, United Arab Emirates)
In this work, the wear characteristics of design modified and surface modified femoral head is studied. Femoral head is assumed to be made of Ti6Al4V and liner material is taken as UHMWPE. Design of the femoral head is modified by providing grooves on the femoral head as well as by providing an additional linear on the femoral head surface. Surface of the femoral head is modified with square or circular dimples. This work involves the development of femoral head model and its simulation using ANSYS under static load condition to get the contact pressure and sliding distance. Modified Archard's wear equation uses the contact stress and sliding distance to determine the wear volume produced per year and the obtained results are compared with that in the available literature. The study shows that the wear rate reduced up to 10% by surface modification and 3% by design modifications.
Yusuf Jamilu Umar and Haralampos Hatzikirou (Khalifa University, United Arab Emirates)
Its widely accepted that the differentiation of leukemic blast in acute myeloid leukemia is completely stopped. Although some experimental findings recently are believed to reveal the opposite of that, there is still little known about the differentiation aspect of leukemic blast in acute myeloid leukemia (AML).This work investigates the notion that differentiation is completely blocked in AML. Acute myeloid leukemia(AML) is a result of a mix of molecular events in a hematopoietic stem cell that inhibit differentiation and promote proliferation. These leads to amassing of blasts cells in the blood and bone marrow. We used mathematical modelling approach to investigate the impact of varying differentiation rates on Myelodyspaltic accumulation. The findings shows that a modest variation of differentiation of hematopoietic stem cells would give rise to an accumulation of blast
Yara Badr and Fares Al-Shargie (American University of Sharjah, United Arab Emirates); Usman Tariq (AUS, United Arab Emirates); Fabio Babiloni (University of Rome Sapienza, Italy); Fadwa Al Mughairbi (United Arab Emirates University, United Arab Emirates); Hasan Al-Nashash (American University of Sharjah, United Arab Emirates)
Stress is a major health issue that affects people worldwide and results in negative psychological and physical consequences. Therefore, early detection of stress has become crucial for maintaining a healthy society. In this study, five different machine learning classifiers were studied for their accuracy in assessing mental stress. A dry EEG cap was used to obtain EEG signals, while a Stroop Color Word Task (SCWT) was used to induce stress. Mean power of four frequency bands were extracted using the Fast Fourier Transform (FFT). In conclusion, alpha and beta band showed higher accuracy than other frequency bands, while SVM outperformed other classifiers, achieving the highest classification of 99.98 % with the mean power of alpha.
Warda Al Saidi (Sultan Qaboos University, Oman)
The study presents research on maintaining the stability of magnetic skyrmions in narrow nanowires. Magnetic skyrmions are tiny spin structures that have the potential to revolutionize spintronic technology because of their low energy consumption and high information density. However, controlling the movement of skyrmions is crucial for their practical applications. The study demonstrates that the stability of skyrmion can be improved by constricted nanowire geometry. It was found that the dimensions of the nanowire constriction and the materials used have a significant impact on the stability of the skyrmions. Additionally, the research shows that skyrmion slow down and change direction near the stepped region, leading to a reduction in their size. These findings provide a new approach for developing skyrmion-based devices.
Forecasting Weather using Shifted Window Cross-Attention
Alabi Bojesomo, Hasan AlMarzouqi and Panos Liatsis (Khalifa University, United Arab Emirates)
In this work, we tackle the challenge of weather forecasting using a video transformer network. Vision transformer architectures have been explored in various applications, with major constraints being the computational complexity of Attention and the data-hungry training. To address these issues, we propose the use of a Video Swin-Transformer, coupled with a dedicated augmentation scheme. Moreover, we employ gradual spatial reduction on the encoder side and cross-attention on the decoder. The proposed approach is tested on the Weather4Cast2021 weather forecasting challenge data, which requires the prediction of 8 hours ahead of future frames (4 per hour) from an hourly weather product sequence. The dataset was normalized to 0-1 to facilitate using the evaluation metrics across different datasets. The model results in an MSE score of 0.4750 when provided with training data, and 0.4420 during transfer learning without using training data, respectively.
Geology of Wadi Shait area, South Eastern Desert, Egypt
Mohamed Abdelkawy Elfadly (Khalifa University & Assiut University, United Arab Emirates)
Geological investigation on the basement rocks exposed around Wadi Shait area revealed that they constitute part of a fold thrust nappes comprising Gardan ophiolitic mélange structural unit (GOM) which is bounded by tectonic contacts against the Shait granite complex (SGC). Both units are brittly to ductilely deformed, and are partially intruded by the calc-alkaline Hamash granodiorite, Dokhan volcanics, post-orogenic alkali granite and the Natash volcanics.
Prevalence of Metabolic Syndrome According to ATP III, IDF and Harmonized Criteria Among Adults Aged 18-40 Years in the United Arab Emirates: The UAE Healthy Future Study
Shamma Jauaan AlMuhairi (United Arab Emirates University, United Arab Emirates); Aminu Abdullahi, Fatma AlMaskari, Javaid Nauman and Luai Ahmed (UAEU, United Arab Emirates); Raghib Ali (NewYork University AbuDhabi, United Arab Emirates); Syed Mahboob Shah (UAEU, United Arab Emirates)
Introduction Metabolic syndrome (MetS) is clustering of cardiometabolic risk factors and has many different definitions This study aimed to estimate the prevalence of MetS using Adult Treatment Panel III (ATP III), International Diabetes Federation (IDF) and the harmonized criteria of Joint Interim Statement (JIS) and to explore the level of agreement between them among young adults in the UAE. Methods Data was drawn from the UAE Healthy Future Study participants aged 18 to 40. Results The overall prevalence of metabolic syndrome was estimated at 14.7%, 19.5% and 22.4% according to ATP III, IDF and JIS respectively. The agreement between IDF and JIS was strong (Kappa: 0.89) and the agreement between ATP III and JIS (Kappa: 0.74) was considered moderate. Conclusion In this young population, MetS is highly prevalent
The Registration of Physical Security Professionals in the UAE
Saoud Alblooshi (Khalifa University, United Arab Emirates)
Many professions are registered to ensure the competency of the provided services, especially ones that have close interactions with the public. Physical Security Professionals (PSPs) are not fully regulated in the UAE. PSPs are individuals who advise and consult customers, whether the customers are individuals, private businesses, or government organizations, on the overall aspects of the physical security of their establishments. The significance of the problem is that it needs to be clarified if the existing system for registering PSPs is optimal from the perspective of the nation, clients, and PSPs. The study results decided that there is no need to implement new legislation. The current PSPs regulations are effective to an extent. Issuing new legislation will not be efficient as it will increase costs for governments, businesses, and PSPs. Nevertheless, the research recommended some policy and informational changes to enhance the effectiveness and increase efficiency of the current regulations.
Ontogeny of rat recognition memory and anxiety measured by novel object recognition task and open field tests
Uvashree Shrinivas, Leah Leslie Dias, Sourav Sajan and Jefina Olive Ben samuel (Rakmhsu, United Arab Emirates)
The origin and development of an organism (Ontogeny) are characterised by specific behavioural patterns. These may be evident in anxiety like behaviour and novel object recognition memory patterns. Aims is to evaluate the differences in anxiety-like behaviour and novel object recognition memory during the different developmental stages in a rodent model. Male albino Wistar rats of different age groups were used for the study. To evaluate the differences in anxiety like behaviour in different groups, open field test was conducted. Similarly, differences in object recognition memory was evaluated in different age groups by performing novel object recognition test. Animal behaviour was recorded and results recorded using software (SMART-3.0 Panlab). Data was analysed using one way ANOVA test. Age related change in the behavioural pattern was evident in a behavioural paradigm that evaluates anxiety like behaviour in rats but not with the novel object recognition memory.
The Impact of Using English Medium Instruction on Learners' Academic Performance and Their Learning Experience
Fathia Alfaran (The British University in Dubai, United Arab Emirates); Tendai Charles (British University in Dubai, United Arab Emirates)
This study aims to investigate the impact of EMI on students' learning experience and their perceptions towards the policy as little research has been conducted in this field. It supports the work of other scholars who have a critical attitude towards the EMI policy. This study provides a voice for voiceless learners who will talk about their academic performance. A mixed methods approach has been adopted to collect the research data. The findings revealed that the policy has not given the learners equal opportunities to study in the program stream. The learners at the institution under study were deprived of their human right to receive their education in their L1. This would create a negative impact on their attitudes especially those who are struggling due to their weak English although they were successful when they were studying in Arabic.
Polycyclic aromatic hydrocarbon remediation using UAE-native bacterial strain
Deema Khaled Islayem, Sara Awni Alkhatib, Sagar Arya and Nicholas Halfors (Khalifa University, United Arab Emirates); Ahmed Yousef (Khalifa University of Science and Technology, United Arab Emirates); Charalampos Pitsalidis (Khalifa University, United Arab Emirates); Anna-Maria Pappa (Khalifa University, Abu Dhabi, UAE, United Arab Emirates)
Polycyclic aromatic hydrocarbons (PAHs) are carcinogenic and harmful substances that affect the health of living organisms and cause critical environmental concerns. It is highly significant to remove PAHs from the contaminated sites. Bioremediation studies showed that certain bacterial strains have PAH degradation potential. The current study evaluates and compares the ability of UAE-native Achromobacter KW38 to grow under 3 different PAHs as a carbon source supplemented with glucose, compared to Pseudomonas sp. P26 and Ecoli DH5α. The bacterial strains were not able to grow under PAH as a sole carbon source. When the growth media was supplemented with glucose, the strains were able to grow on up to 75% PAH concentration. The results of the current study reflect the high degradation potential of the UAE-native strain as compared to Pseudomonas sp. P26. Furthermore, a microfluidic chip was designed and fabricated to further investigate the removal efficiency of the bacterial strains
Omar Mohamad Chaabi (Khalifa University & NA, United Arab Emirates); Mohammed Al Kobaisi (Khalifa University, United Arab Emirates)
A lot of geological formations, including hydrocarbon reservoirs are naturally fractured, or in several other cases are hydraulically fractured. Fractures can form complex networks that greatly affect the fluid behavior and the pressure distribution through a reservoir. It takes a lot of computing to simulate multiphase flow accurately in natural porous media that are modelled on high-resolution computational grids. The development of numerous multiscale techniques that solve accurate coarse-scale systems created using locally computed basis functions was urged on by this computational difficulty. Multiscale finite-volume (MSFV) methods are among the suggested multiscale approaches. In this paper we review MSFV, its components, and the latest developments.
Baraah Hamdoon and Khaled Galal Ahmed (United Arab Emirates University, United Arab Emirates)
The large stock of existing neighborhoods in the UAE are distinguished with urban sprawl that resulted in various environmental, social, and economic sustainability-related problems. To redevelop these existing neighborhoods, especially in a more socially sustainable manner, an intensive literature review about the theoretical and practical studies for socially sustainable communities was reviewed. Eleven principles of social sustainability in urban neighborhoods have been defined.
Farrah Zafar (The British University in Dubai, United Arab Emirates)
This study aims to investigate the situational and individual factors affecting undergraduate English language students' Willingness to Communicate (WTC) in English and teachers' perceptions about students' Willingness to Communicate in the UAE university classrooms. This mixed method study will use quantitative surveys and semi-structured interviews to probe WTC from students and teachers' perspectives.
Afnan Salah Eldin Malik (University of Khalifa, United Arab Emirates); Sean Swei (Khalifa University, United Arab Emirates)
This paper proposes a novel space debris capturing and removal system utilizing robotics in a smallsatellite-based platform. We compare several debris-capturing technologies and platforms proposed in the literature. Robotic tentacles-based capturing mechanisms are the most promising approach due to their high technology readiness levels and adaptability to different targets. CubeSats-based removal missions present the lowest levels of mission loss risks and overall mission costs. Hence, a CubeSat-based platform utilizing robotic tentacles is proposed. The design is based on a study of the geometric properties and the criticality of removal of debris objects.
Fatima Al Hameli (Khalifa University, United Arab Emirates); Hadi Belhaj (Khalifa University of Science and Technology, United Arab Emirates)
This study examines the effects of early and fast deployment of carbon dioxide (CO2) capture and storage (CCS) technologies, which are acknowledged as a major obstacle to climate change mitigation and a feasible solution for nations worldwide. Geological CO2 storage is the most effective and, in many situations, the only realistic short-to-medium-term option for significantly increasing CO2 sequestration in geological sinks and decreasing net carbon emissions into the atmosphere. The components of the CCS system have been briefly explored, with a focus on carbon capture methods created by earlier scientists and carbon geological formations that can sink carbon dioxide. To readily separate the major trapping mechanisms-chemical, physicochemical, and physical-numerous trapping processes have been organized and incorporated in a constructive matrix. Each of these categories has been further categorized depending on their contribution to CO2 storage.
Mouza Mohammed Alaleeli (UAE University, United Arab Emirates)
Type 2 diabetes mellitus (T2DM) is known to increase the risk of fragility fractures; however, the underlying mechanism is still elusive. Novel microRNAs, such as miR-155 have been suggested to play vital roles in the regulation of osteogenesis, osteoclastogenesis, and adipogenesis. The objective of this study was to identify the changes in microRNA-155 expression in the bones of T2DM rats. MiR-155 could be an important modulator of bone remodeling in T2DM and additional studies are required to explore its potential as a diagnostic biomarker or therapeutic target for diabetic osteopathy.
Generation of FeCu Nanoparticles from Iron-Copper Powder Using Femtosecond Laser Mariam Yousif AlAwadhi (American University of Sharjah & Dubai Police, United Arab Emirates); Amani Yassine (American University of Sharjah, United Arab Emirates & American University in the Emirates, United Arab Emirates)
The usage of optical force techniques such as lasers, provides contactless, and non-mechanical, micro-crystal manipulation [1]. Nanocrystalline materials (1-100nm) are commonly produced using methods such as mechanical alloying, electrodeposition,.. (etc.) [2]. Due to the unique electrical and magnetic properties of Iron Copper alloys [3], Fe50Cu50 powder produced using mechanical alloying method is selected as the focus material of this study. FeCu nanoparticles are generated using femtosecond laser. Ethanol and vacuum mediums are studied as alternative ablation mediums [4]. Characterization of the material is completed. A phase separation was observed from the vacuum ablated samples, and particles generated were in the size of micro-meters for both vacuum ablation and ethanol ablated samples. Additionally, the EDX indicated a consistency in the iron and carbon content (50%-50%), indicating that the material did not undergo any oxidation during the ablation processes.
15:45 - 16:00
Coffee Braeak - Afternoon
Room: Ballroom 3&4
16:00 - 18:00
AHS-D1-S3: Other Topics in AHS Arts, Humanities & Social Sciences
Room 8
Chairs: Aysha Hamad AlDhaheri, Al. (UAEU & None, United Arab Emirates), Yara Rabea (American University of Sharjah, United Arab Emirates)
16:00 Does ‘Openness to Experience' Enhance Foreign Language Oral Fluency?
Yara Rabea and Philip McCarthy (American University of Sharjah, United Arab Emirates)
This study explores the relationship between the skill of ‘oral fluency' and the personality trait of ‘openness to experience.' While research links openness with achievement in oral production, as far as we are aware, no research has examined the effect of openness on achievement in oral fluency. In the proposed experiment, featuring 60 university students in the UAE, we will conduct correlational and multiple regression analyses between openness and oral fluency to examine the target relationship. We predict that openness significantly contributes to the variance of oral fluency. The study also includes suggested pedagogical approaches to fostering openness in an EFL classroom context.
16:15 Engaging the Emirati Community in Day of the Antelopes: New Critical Perspectives
Aysha Hamad AlDhaheri, Al. (UAEU & None, United Arab Emirates)
This paper explores Day of the Antelopes, a collection of short stories, by the Emirati writer, Fatema Al-Mazrouei, from different perspectives in order to shed light on significant issues integral to the culture and history of Emirati society. In light of the scarcity of scholarship in English on the literature of Emirati women writers, the paper investigates socio-historical motifs, folklore traditions, and feminist interfaces associated with local cultural heritage in order to underline the author's vision of the Emirati society as a whole and the image of the Emirati female community in particular. The paper signifies that the feminist motifs in Day of the Antelopes narrate the story of an emerging nation encompassing three different stages: the pre-oil era, the post-oil era after the foundation of the UAE Union in the early seventies, and the post-global epoch when the UAE occupied a prominent position on the map of the world.
16:30 U.S. Security Assurances to the Gulf States: Examining Key Scenarios
Awadh Al Breiki (Khalifa University, United Arab Emirates)
This decades old alliance between Gulf countries and the US has resulted in the Arab Gulf states' dependence on the US as an external security guarantor. This alliance with time, however, has developed into a multifaceted relationship. More recently, voices inside the US have been questioning their security assurances to the Gulf. There are also growing concerns within the Gulf as leaders begin to ask questions about what kind of security may look like should the US leave the region. This thesis argues that U.S. security assurance to Gulf countries is a serious topic because it goes to the heart of alliance politics of Gulf countries especially in this time of great power competition between U.S. and China. Answering this question has implications not only to the foreign policy of the Gulf countries, but also to the whole Middle East region.
Bushra Khaliq Khan and Philip McCarthy (American University of Sharjah, United Arab Emirates)
Translanguaging is an interactive approach that uses learners' linguistic repertoire to facilitate L2 learning. In recent years, research on translanguaging has focused on developing and implementing such practices in ESL classrooms. This paper examines phonology and morphology as essential aspects of L2 learning in developing reading and vocabulary. The paper also analyzes the effect of learners' previous linguistic knowledge in influencing phonological and morphological awareness and learning of L2 structures. As such, the paper proposes to integrate translanguaging practices in phonology and morphology classrooms in the UAE.
17:00
Anas Masamreh and Hajarah Masood Qureshi (University of Sharjah, United Arab Emirates)
There has been a rapid increase in adoption of podcasts by individuals and media organizations alike across the world. Newspapers in the UAE have also supplemented their traditional media with podcasts to make their products available online. Why and how news media companies in the UAE have adopted this technology which comes with its own learning curve is yet to be studied thoroughly. To close this gap, this paper aims to study the factors and the process behind adopting podcasts by interviewing high-level employees of local print news media companies. These interviews will then be thematically analyzed through the lens of Tornatzky's T-O-E model for factors under the technological dimension.
17:15
Opeyemi Adetoyese Oladiji (American University of Sharjah, United Arab Emirates)
Automated feedback systems have taken center stage in global education. It is unarguably evident that there have been noticeable increases in attempts by many technological companies to develop automated feedback tools that facilitate assessments and language learning in the classrooms. For most English as a Second Language students (ESL), quality feedback is fundamental to correct use of English language for academic purpose. However, one of the major challenges has been the inability of many ESL students to access effective feedback. A solution to this may be found in the automated writing tool called, Auto-peer. Auto-Peer as an automated writing tool enhances effective peer review system whereby students can self-reflect and make correct writing decision following Auto-Peer's guidance. This paper therefore presents how Auto-Peer enhances student feedback literacy, autonomy, and student writer agency with a focus on topic sentence openers of ESL students in their academic writing.
17:30 From strategic to comprehensive strategic partnerships: The case of the United Arab Emirates
Ayesha Naser Alsaeedi (Khalifa University, United Arab Emirates)
Partnerships amongst countries are helpful for maintaining and improving security and growth across all sectors. The UAE has been building strategic partnerships internationally for decades to support its upcoming missions and goals for the country. Evidence from previous research suggests that the countries can benefit greatly from developing some of its international relationships from strategic partnerships to comprehensive strategic partnerships. This research will investigate why the UAE can take on further comprehensive strategic partnerships to achieve its missions. This research will elaborate on how the UAE will benefit from these partnerships through qualitative data, specifically by interviewing relevant government representatives and academics.
17:45 م1831-1900(
16:00 - 17:45
BAM-D1-S3: Business and Management
Business and Management
Room 6
Chairs: Muna Al Suleimani (The British University in Dubai, United Arab Emirates), Humaid Alkaabi (Khalifa University, United Arab Emirates)
Idris Al-Hsani and Zainab Al-Balushi (Sultan Qaboos University, Oman)
The COVID-19 epidemic has had an extreme speed and scope of impact on the connectivity of local and international logistics networks. The roughly three-year-old COVID-19 had a negative impact on civilization as a whole. The purpose of this article is to investigate how organizations in the logistics industry are adapting to the pandemic, the lessons they have learned, and how they will adapt in a post-COVID-19 "new normal" through the use of a theoretical lens based on dynamic capability. Data was collected from seven logistics organizations operating in Oman through semi-structured interviews. A thematic analysis approach was used to analyze the case study data. In addition, we used exploratory research to comprehend the COVID-19 pandemic's consequences on several logistics and transportation firms operating in Oman and how these companies' senior management has responded to this unexpected external shock. The study focuses on numerous transportation modes including road, air, and maritime.
Muna Al Suleimani (The British University in Dubai, United Arab Emirates)
Lean and agility are one of the important approaches that could significantly lead to an effective and successful global supply chain management (GSCM). However, the combination of lean and agility in GSCM is one of the few discussed topics in the research field. Some researchers have attempted to explore this area and argued that combining both in GSCM is difficult due to their different directions and objectives. This paper aims to argue previous findings by proposing a digital solution that combines lean and agility in GSCM through digital twin.
Nour Hussein Shakhour, NH (The British University in Dubai, United Arab Emirates)
This empirical research study aims at investigating the relationship between dynamic talent management capabilities and workforce agility through the mediating effect of absorptive capacity, and strategic agility as dynamic organisation capabilities, moderated by adaptive organisational culture. A deductive quantitative research design using a positivist approach was applied through a cross-sectional survey collected from knowledge workers holding managerial roles, working within the UAE with a sample size of 406 at a 95% confidence interval. Data were analysed through a covariance-based approach to structural equation modelling using SPSS-AMOS version 26. The finding indicates a statistically significant positive relationship between dynamic talent management capabilities and workforce agility, both direct and sequential, through the mediating effect of absorptive capacity and strategic agility. Additionally, adaptive organisational culture is a crucial positive moderator in the relationship between dynamic talent management capabilities and workforce agility.
Mayid Alshaer (BUiD, United Arab Emirates); Muhammad Waris Ali Khan (The British University in Dubai, United Arab Emirates)
This paper aims to analyse how important it is for the Dubai Municipality to adopt agility within its organizational structure. The researcher analyzed secondary data from the website of the Dubai Municipality. Consequently, the analysis was based on the public information from these resources. Thematic analysis was used to identify key themes related to the topic of study such as "agility in modern organization structure", "flexibility", and "corporate strategy". The main finding is that organizations should adopt and use highly flexible organizational structures to survive the competition in the marketplace and economic uncertainty. They need to use tools and methods to install agility in the workplace including change of work structure, new technology, updated work procedures, agile leadership, and diverse culture. Dubai Municipality could leverage the recommendations proposed in this research to become more agile.
Dania Mahmoud Kurdy (The British University in Dubai, United Arab Emirates) Integrated Reporting (IR) is a novel idea and still a developing field of study in many parts of the world; it is a cutting-edge concept within the domain of corporate reporting. This paper presents a conceptual framework to discover the connection among board features (BF) assessed by the proxies' size, independency, diversification, and IR disclosure level, drawing on a fusion of the three theories the stakeholder, legitimacy, and agency theory. A thorough literature review was performed, and the findings reveal a favorable association between the three proxy variables assessing the board features and the IR disclosure efficiency. A suggested conceptual framework can potentially be very beneficial for companies, lowering the asymmetry of the information and increasing information openness and value creation.
Humaid Alkaabi (Khalifa University, United Arab Emirates); Ibrahim (Abe) M. Elfadel (Khalifa University)
Prior research has not attempted to put a value on cryptocurrency portfolio optimization. Only a little work has gone into creating crypto portfolios that can be held independently. For the most part, researchers have mainly concentrated on price forecasts for single cryptocurrencies to help guide investment decisions. To remedy this situation, we explore in this paper the feasibility of employing machine-learning, and more particularly, random forests, for portfolio selection in the cryptocurrency market.
Ahmed Basioni (The British University in Dubai & Project Management Program, United Arab Emirates)
This paper aimed to explore the added value of integrating digital processes and artificial intelligence within the project management processes on the organisations performance. In addition, it emphasized relevant theories in project governance and their interface to the project management process and the application in a digital environment. The improvement of projects delivery and enhancement of work environment are highly linked to the adaptation of AI in project processes including latest proven technology in the energy sector. The conclusions gathered from literature and practices in the oil & gas industry suggest managerial actions for minimizing barriers to introducing new digital processes and methods for fostering a productive work environment to organizational learning and continuous improvement for the project governance process.
16:00 - 17:30
EPS-D1-S3: Biomedical Engineering Engineering, Information Technology & Physical Sciences
Room 4
Chairs: Mohammad AlShurbaji (American University of Sharjah, United Arab Emirates), Rateb Katmah (Khalifa University, United Arab Emirates)
16:00 One-Dimensional W-NETR for Non-invasive Single Channel Fetal ECG Extraction
Murad Almadani (Khalifa University, United Arab Emirates); Leontios Hadjileontiadis (Khalifa University of Science and Technology, United Arab Emirates); Ahsan Khandoker (Khalifa University of Science, Technology and Research, United Arab Emirates)
The early identification of fetal cardiac abnormalities' potential risk, which enables prompt preventative care and ensures safe births, is greatly aided by fetal cardiac monitoring throughout pregnancy. Hence, it's critical to regularly check on the embryonic heart. The derivation of fetal electrocardiograms (ECGs) from maternal abdominal ECGs as a means of fetal cardiac monitoring has been carefully investigated. Extracting a clean fetal ECG is challenging because noise and maternal ECG signals obscure fetal signals. We describe a unique method for splitting a single-channel maternal abdominal ECG into maternal and fetus ECG employing two parallel U-nets with transformer encoding, which we refer to as W-NEt TRansformers (W-NETR). Due to its enhanced capacity to simulate remote interactions and capture global context, the suggested pipeline utilizes the self-attention mechanism of the transformer. We tested the proposed pipeline on various datasets and outperformed the cutting edge deep learning models.
Rajan Prasad (Khalifa University & Beijing Institute of Technology, Nepal); Kinda Khalaf (Khalifa University, United Arab Emirates); Mohammad Awad (Khalifa University of Science Technology, United Arab Emirates); Sunil Agrawal (Columbia University, USA); Marwan El-Rich (Khalifa University, United Arab Emirates)
Cable driven exoskeletons are preferred over link-driven exoskeletons due to numerous advantages such as remote actuation, lightweight, reconfigurability, and many more. However, the optimal routing of the cable to attain the desired performance remains elusive. In this work, we selected 3 cable-configuration with a posterior long cable and studied the influence of routing the long cable on healthy gait trajectory tracking via additional intermediate hinges using a lower limb model. The simulation results revealed that intermediate hinges-based routing increases the required cable tension and induced joint force components. However, such routing provides guided motion of long cables and improves overall safety at a cost of small increments in system requirements.
Mohammad AlShurbaji, Lamis Abdul Kader, Hadia Hannan and Maruf Mortula (American University of Sharjah, United Arab Emirates); Ghaleb Husseini (AUS, United Arab Emirates)
Diabetes is sweeping the world as a silent epidemic, posing a growing threat to public health. Modeling diabetes is an effective method to monitor the increasing prevalence of diabetes and develop costeffective strategies that control the incidence of diabetes and its complications. This study focuses on a mathematical model known as the Diabetes Complication (DC) model. This model is analyzed using different numerical methods to monitor the diabetic population over time. Ultimately, a comprehensive understanding of the development of diabetes complications after diagnosis is provided in this study. The results can be used to understand how to improve the overall public health of a country, as governments ought to develop effective strategic initiatives for the screening and treatment of diabetes. This study was published in January 2023 in the "International Journal of Environmental Research and Public Health", which is a Q1 journal with an impact factor of 4.61 [1].
Nazmi Alsaafeen and Anna Maria Pappa (Khalifa University, United Arab Emirates); Ahsan Khandoker (Khalifa University of Science, Technology and Research, United Arab Emirates); Charalampos Pitsalidis and Aibobek Seitak (Khalifa University, United Arab Emirates)
The performance of wearable electronics is hindered by the limitations of conventional electrodes, mainly in the material profile mismatch between the skin and the electrodes. This imposes high interface impedance, low-resolution signal transmission and possible skin-irritation due to movement, long-term use or sensitive skin. Herein, conducting polymer-infused hydrogels are presented as next-generation electrodes for healthcare wearable applications. Conducting polymer hydrogels exhibit desirable merits, including higher capacitance, being stretchable and conformable to the skin as well as more sustainable (i.e., given the more environmental friendly fabrication processes). Therefore, we developed a stretchable biopolymer-based hydrogel which we named "Golde" using gelatin and chitosan that is infused with a conductive material such as Agarose, MXene or poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT: PSS) to optimize their electrical (and ionic) conductivity. Our results show that Golde/PEDOT: PSS demonstrates the most favorable performance.
Rateb Katmah, Feryal A Alskafi, Ferial AbuHantash and Sara Nasrat (Khalifa University, United Arab Emirates); Herbert F Jelinek (Healthcare Engineering Innovation Center, Khalifa University & Charles Sturt University, United Arab Emirates); Kinda Khalaf (Khalifa University, United Arab Emirates) Knee pain and injury are commonly encountered in clinical practice. Modern capturing and processing techniques can be used to clarify the underlying functional involvement of the brain associated with knee pathology and resulting gait pattern changes. As the majority of knee pathologies are associated with restrictions in knee movement, brain functional connectivity based on partial directed coherence was evaluated in this study while applying a brace at varying degrees during motion to restrict knee mobility. The partial directed coherence results suggested that restricted knee movement reduced information flow from the left to the right ventrolateral prefrontal cortex (vPFC), while increasing connectivity from the sensorimotor cortex to the right vPFC. The preliminary findings of this study revealed that the usage of braces altered the strength of proprioceptive input at the joint which in turn altered the level of brain activity and caused modifications in the movement of the knee.
Mohd Khalil Abu Hantash (Khalifa University, United Arab Emirates); Leontios Hadjileontiadis (Khalifa University of Science and Technology, United Arab Emirates); Ahsan Khandoker (Khalifa University of Science, Technology and Research, United Arab Emirates); Aamna Alshehhi (Khalifa University, United Arab Emirates)
Nowadays, there is an increase demand on healthcare system to provide care for better quality of life especially with the growing aging population. Resources such as healthcare professionals are limited and cannot meet all those demands. Digital healthcare or mHealth could be used in secondary prevention intervention to guide and motivate people to live a healthier live by adopting healthy behaviours which improves the quality of life and reduce the demand on healthcare system. Technologies such as mobile phone and smartwatches could be used to collect data on day-to-day living that could be analysed to provide personalised guidance and therapy plans to the user. The objective of this study is to develop a behavioural change model using deep learning algorithms that could predict personalized behavioral change trajectories.
16:00 - 17:30
EPS-D1-S3: Chemical Engineering Engineering, Information Technology & Physical Sciences
Room 3
Chairs: Fahmi Anwar (Khalifa University, United Arab Emirates), Amal Ibrahim Mlhem (United Arab Emirates University & UAEU, United Arab Emirates)
Jawaher Darweish AlYammahi (Khalifa University of Science and Technology, United Arab Emirates & KU, United Arab Emirates); Fawzi Banat (Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates)
The production of camel milk powder enriched with date fruit extract has not been studied yet. Spray-drying technique was used to produce camel milk powder encapsulated with date sugar. The optimum operating conditions were determined using response surface methodology to maximize the overall powder yield. A maximum overall yield of 55% was achieved by operating at a temperature of 160 °C, a feed flow rate of 7.0 mL/min, and a concentration of 6.4% MD. In addition, the powder was characterized physically, chemically, morphologically, thermally, and nutritionally. Results showed relatively good functional properties, unique morphological properties, improved thermal stability, and high nutritional value. Spray-dried DCMP might find applications in a wide range of food and beverage products
16:15
Amal Ibrahim Mlhem (United Arab Emirates University & UAEU, United Arab Emirates); Basim AbuJdayil (UAEU, United Arab Emirates); Muhammad Zafar Iqbal (UAE University, United Arab Emirates) Residential buildings contribute the most to energy consumption worldwide. It was found that energy savings of 20% can be achieved through thermal insulation. Herein, this research has been conducted in the field of sustainable thermal insulation materials. Wood plastic composites are a relatively new generation of biocomposites and are particularly suitable for construction and building applications, which provide high thermal and acoustic insulation properties, reducing carbon emissions. In this study, the main challenge is to reduce the hydrophilic natural of Date Palm Fiber (DPF) using the silane treatment which is efficient in reducing the water absorption, and improving the interfacial adhesion between the DPF and polymer matrix Poly( -hydroxybutyrate) (PHB). This research will investigate the effects of loading modified DPF on the prepared composites to evaluate the physical, morphological, thermal and mechanical properties aiming for full biocomposite in constructionrelated applications considered as a replacement for the used petroleum-based insulation material.
Najah Abumounshar (Khalifa University, United Arab Emirates)
Antibiotics are used in the prevention and treatment of diseases caused by bacteria. The efficacy of antibiotics has been endangered in the recent past. This is due to the rapid emergence and development of resistant bacteria and genes. This is a serious challenge since antibiotics have transformed the field of medicine and saved many lives. The threat of antibiotic-resistant pathogens has been partially contributed by the misuse and overuse of antibiotic medicines and the failure of the pharmaceutical industry to develop new drugs to counter pathogens. To understand the activity of these pathogens, it is vital that their prevalence and resistance patterns are established. This includes their life-cycle, resistance mechanism, and media, which accelerate their growth.
16:45 Development of high energy-density & high-power density lithium-ion capacitors for Energy Storage Systems
Mariam Mohamed BinAri (Khalifa University, United Arab Emirates); Faisal A AlMarzooqi (Khalifa University & Masdar Institute, United Arab Emirates); Daniel Choi (Khalifa University of Science and Technology, United Arab Emirates)
Utilizing lithium-ion batteries alongside with supercapacitors gives rise to distinct properties that make lithium-ion capacitors (LICs) the perfect candidate for commercial applications. The collective properties of the battery (high-energy density) and the rapid energy delivery properties of the supercapacitor (high-power density) makes such combination significantly desirable in industry. In this research, a unique architecture of graphene oxide (GO) is encapsulated on MnO2 nanorods which gives rise to a composite material to be utilized as the anode for LIC. The composite electrode of MnO2/GO is fabricated with the aid of a hydrothermal process. In-depth electrochemical analysis has shown superior charge storage capability of the composite electrode. Under the half-cell configuration the composite electrode displayed significant discharge capacity of 1300mAh/g at 0.2C current density. A superior rate capability is obtained as the composite electrode holds a high discharge capacity of 1100,900,700,300 mAh/g at the current density of 0.5,0.7,1, and 2 C, respectively.
17:00 Phosphorus Modified Cu-Mg Ferrite Composites for Photocatalytic Ozonation of Lomefloxacin
Hebah S Jarusheh (UAE- Abu Dhabi & KU, United Arab Emirates); Mohammad Abu Haija (Khalifa University, United Arab Emirates); Fawzi Banat (Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates); Giovanni Palmisano (Khalifa University, United Arab Emirates)
The present work characterized different Phosphorus-Modified ferrite nanoparticles prepared using the sol-gel auto-combustion method. The synthesized materials were characterized using various techniques, including X-ray Diffraction (XRD), Scanning Electron Microscopy (SEM), Fourier Transform Infrared Spectroscopy (FTIR), and Transmission Electron Microscopy (TEM). The crystallinity, structure, and composition of all the samples were confirmed using XRD, FTIR, and EDX. Phosphorus-modified Mg ferrites were found to be more effective than Phosphorus-modified Cu ferrites at degrading lomefloxacin in a photocatalytic ozone system.
17:15 Paraffin Affinity Modulation of Mesoporous Silica for Ethane/Ethylene Separation
Fahmi Anwar (Khalifa University, United Arab Emirates); K Suresh Kumar Reddy and Anish Mathai Varghese (Khalifa University Abu Dhabi UAE, United Arab Emirates); Maryam Khaleel, Kean Wang and Georgios Karanikolos (Khalifa University, United Arab Emirates)
Developing cost-effective ethane-selective adsorbents for pressure-swing adsorptive separation of ethane (C2H6) and ethylene (C2H4) gas mixture is a challenging task in the petrochemicals industry. Even though several C2H6-selective adsorbents have been reported with notable ethane capacity, regeneration of these adsorbents has been quite challenging due to the high heat of adsorption. Herein, we report surface-functionalized mesoporous silica adsorbents with high ethane capacity, reverse selectivity, and ultra-low enthalpy of adsorption. These novel reverse selective adsorbents were designed by grafting of ionic liquid (IL) onto the silica surface. The surface modification switched the selectivity of the adsorbent from olefin-selective to paraffin-selective, while the isosteric heat of adsorption values were measured to be as low as 12 kJ/mol and 9 kJ/mol for C2H6 and C2H4 respectively.
Engineering, Information Technology & Physical Sciences
Room 1
Chairs: Taslim Mahbub (Khalifa University, United Arab Emirates), Ruba Nasser (Khalifa University, United Arab Emirates)
Faiza Hashim (United Arab Emirates University, UAE, United Arab Emirates); Alramzana Nujum Navaz and Nazar Zaki (UAE University, United Arab Emirates)
Merging Artificial Intelligence and blockchain networks for space business is crucial for the advancement of humanity. The first-hand acquisition of satellite images is in raw form and not authenticated. In this research, we aim to use advanced machine learning models (based particularly on deep learning technology) capable of automatically analyzing and classifying raw satellite images into valuable and actionable formats. Furthermore, we aim to design a blockchain-based solution to make these datasets available for private and government agencies in a user-friendly and secure marketplace. The traditional centralized economic model for space business is costly to implement in terms of infrastructure, deployment, security risks, ownership, and marketing of the data. The proposed solution will focus on a decentralized socio-economic model for the space industry by implementing a scalable blockchain model for the satellite image marketplace to increase the security of transactions across the buyers and sellers of satellite data.
Yuhang Guo (Al Mushrif, United Arab Emirates); Rabeb Mizouni (Khalifa University, United Arab Emirates)
People are creating and sharing more information than ever before around the world. Being provided by unreliable sources, some news can be misleading. In fact, news can be true in a specific region while fake in another. Existing proposed solutions for fake news detection developed in centralized platforms are not considering the location from where the news gets announced, but they are focused more on the news content. In this paper, a region-based distributed fake news detection framework is proposed. The framework is deployed in a mobile crowdsensing (MCS) environment where a set of workers responsible for collecting news are selected based on their availability in a specific region. The selected workers share the news with the nearest edge node, where the pre-processing and detection of fake news are executed locally. The detection process uses a pre-trained BERT model which it achieved an accuracy of 91%.
Taslim Mahbub and Naoufel Werghi (Khalifa University, United Arab Emirates)
Early detection of cancer, and breast cancer in particular, can have a positive impact on the survival rate of cancer patients. However, visual inspection by expert pathologists of whole-slide-images is subjective and error-prone. To overcome this limitation, many researchers have proposed deep learning driven approaches to detect breast cancer from histopathology images. However, these datasets are often highly imbalanced as patches belonging to the cancerous category is minor in comparison to the healthy cells. Therefore, when trained, the classification performance of the conventional CNN models drastically decreases, particularly for the minor class. This paper proposes a class balanced affinity loss function which can be injected at the output layer to any deep learning classifier model to address the imbalance learning. In addition to treating the imbalance, the proposal also builds uniformly spread class prototypes to address the fine-grained classification challenge in histopathology datasets, which conventional softmax loss cannot address.
Abdulrahman Hamdy Ahmad (Khalifa University of Science and Technology, United Arab Emirates & Minia University, Egypt); Ameena Al Sumaiti and Khalifa Hassan Al Hosani (Khalifa University, United Arab Emirates); Young-Ji Byon (Khalifa University of Science and Technology, United Arab Emirates) Travel-time reduction is a dominant target for connected emergency vehicles (CEV) to save people's lives or put out a fire. This paper aims to leverage the capabilities of CEVs for more energy-saving, safe-traffic management, and travel time reduction. A dynamic path planning strategy is proposed to minimize the travel time of the CEV. The solution includes a regression model for estimating the vehicles queue discharge time in a road lane and a dynamic path planning model that utilizes the queue discharge model results to find the shortest time path in multiple traffic intersections. The simulation is conducted through a microscopic traffic simulation environment that simulates real-world dynamics of vehicles and drivers' behaviors based on decades of field data.
Ruba Nasser and Rabeb Mizouni (Khalifa University, United Arab Emirates); Hadi Otrok (Khalifa University, United Arab Emirates & Concordia University, Canada); Shakti Singh (Khalifa University, United Arab Emirates)
Due to variations in human mobility patterns, relying on the historical traces of users in order to perform the recruitment in continuous sensing tasks can be inefficient. Hence, in this paper, a machine learningbased approach which predicts the next location of users was integrated with a continuous MCS recruitment system. Simulations were performed for a sensing task with 10 sensing intervals and were compared with the stability-based GRS. It was verified that the proposed approach performs better as it was able to achieve higher coverage.
Budoor Mohamed Alblooshi (Abu Dhabi & Khalifa University, United Arab Emirates); Dymitr Ruta (EBTICChief Researcher, United Arab Emirates); Chan Yeun and M. Jamal Zemerly (Khalifa University, United Arab Emirates)
Automated digitization of the racing track from satellite images is very challenging due to noisy, obstructive natural environments and widespread confusion with other road segments. We propose a semi-automated method for track extraction and detection based on individual pixel-level classification guided by small track ground truth samples. Our methodology builds on and strengthens the approach proposed in [3] by exploring a wider variety of new features and models as well as utilizing low-effort human guidance for identification of the area of interest.
16:00 - 17:30
EPS-D1-S3: Environmental Engineering & Sustainability
Room 2
Chairs: Hamza Fiaz (Khalifa University, United Arab Emirates), Alia A Rais (Buid, United Arab Emirates)
Hamza Fiaz, Sara Arif Alzaabi and Mariam Alcibahy (Khalifa University, United Arab Emirates); Shahira Abdul Lathif (Khalifa University, Abu Dhabi, UAE, United Arab Emirates); Maryam Rashed AlShehhi (Khalifa University, Civil, Infrastructure and Environmental Engineering & MIT, United Arab Emirates) This paper aims to predict PM2.5 concentrations in Masdar city, UAE so that health-related precautions can be taken. The prediction is performed based on linear regression and an Artificial Neural Network (ANN) using long-term PM2.5 data collected between 2012 and 2021 in Masdar City. Regression analysis showed low R2 (0.0012) value with high RMSE (110.24) value, suggesting nonlinearity. Therefore, ANN analysis was performed to predict the PM2.5 concentrations. Initial neural network parameters were taken from the relevant literature and then optimization was performed. The optimized multi-layer feedforward (MLFFNN) model with 24 and 10 nodes in each hidden layer and ‘trainbr’ as a training function fitted the training, validation, and testing data set with RMSE values of 10.77, 8.5, and 9.1 respectively. Optimized MLFFNN model showed that PM2.5 concentrations in the following year will stay within the safe limits according to WHO regulations and no extreme health precautions are required.
Fareeha Shadab (Khalifa University, United Arab Emirates); Ismail I.I. Alkhatib (Khalifa University & Research and Innovation Center on CO2 and H2 (RICH), Khalifa University, United Arab Emirates); Ahmed Al Hajaj (Khalifa University of Science and Technology, United Arab Emirates); Lourdes Vega (Khalifa University, United Arab Emirates)
The development of novel aqueous amines for CO2 capture are of great interest due to the limitations (such as high regeneration energy) of the current traditional aqueous amines such as Monoethanolamine (MEA). In this work, consistent and transferable molecular models for forty novel amines is developed using a molecular-based equation of state. These molecular models were used to calculate the thermophysical properties and CO2 absorption capacities at process conditions. Furthermore, the modeling was extended to calculate the two key performance indicators of cyclic capacity and regeneration energy as screening criteria to find the optimum solvent. Two amines namely DEEA and DETA out of the forty systems studied performed much better than both the benchmark amines and other novel amines.
Alaa Omar Kordi and Khaled Galal Ahmed (United Arab Emirates University, United Arab Emirates)
The United Arab Emirates is experiencing a new urban design typology for urban open spaces. CityWalk is the new lifestyle community that merges all needed facilities for mixed diversified people. The author introduces three main categories for CityWalk in UAE based on using secondary resources review through the conceptual framework of the global experience of CityWalk, which are CityWalk surrounded by urban context, Citywalk surrounded by water features, and CityWalk surrounded by traditional buildings.
16:45
Alia A Rais (Buid, United Arab Emirates)
Re-Thinking Post-Pandemic Home Design: How COVID-19 Affected the Need for Spaces for Occupants in the UAE The purpose of the paper is to understand the effect of these measures and lifestyle changes on the role and importance of layout functionality and the importance of meeting and accommodating the occupants’ needs. The accumulation of a person’s daily activities, such as work, sleep, entertainment, food, family gatherings, and socializing with others, in a defined and constrained physical environment is based on space, elements, and recourses. The qualities of the space, its partition, and the possibility of determining new activities therein have changed their connection with the indoor atmosphere. A literature review was conducted to understand the effect of pandemics on the built environment. An online survey was then used to provide a deep understanding of the changes that have happened post pandemic, comparing pre-COVID-19 and post-COVID-19 activities and occupants’ life style.
17:00 Investigation on
Hala Ghaleb Al Omary (Sorbonne University, United Arab Emirates); Kosmas Pavlopoulos (Sorbonne University Abu Dhabi, United Arab Emirates)
The United Arab Emirates originally lack for sufficient natural water resources. A major source of water in the UAE is groundwater. The deficit in water availability due to the increasing demand and shortage in water resource availability can be met by utilizing non-conventional sources such as desalinated water, and recycling wastewater. This paper aims to present a scientific assessment of the possibility of using treated oil and gas-produced water for recharging the underground aquifer in Abu Dhabi through Soil Aquifer Treatment (SAT). Core samples from the unsaturated zone layers of sand, sandstone, siltstone, and conglomerates layers from the Abu Dhabi area were collected. Adsorption experiments have been carried out to investigate the capacity of the soil samples for the removal of hazardous contaminants. The obtained data were used to calculate the required time for the hazardous contaminants to reach the underground water.
Beman Atef Ayad (British University in Dubai & ASGC Group, United Arab Emirates)
The particulate matters are suspended particles in the air, which are in liquid or solid state and has a major impact on human health. This study focuses on investigating the concentration of indoor particulate matter in office buildings in the United Arab Emirates. An online questionnaire had been distributed to the office workers in office A and B, to collect information about the space. The PM concentration had been measured and the results were compared with the WHO standards. Office A were within the recommended 24-hour air quality guideline (AQG) level stated by the WHO for PM2.5 which is 15 µg/m3. Based on the results, PM10 concentration in office A were below the recommended 24-hour AQG level for PM10 which is 45 µg/m3.
16:00
Room 7
16:00 Early Aptian Oceanic Anoxic Event (OAE1a) on the Arabian Plate: a regional correlation
Margherita Denaro (Khalifa University & Petroleum Institute, United Arab Emirates); Thomas Steuber (Khalifa University, United Arab Emirates)
Significant emissions of CO2 of volcanic origin at the Barremian-Aptian boundary caused profound environmental changes, which affected protozoan communities with the reduction or demise of carbonate production. The Arabian platform represents an exception to the global trend. In UAE, pelagic successions from Bab Basin were largely studied, but the sedimentary record can be incomplete for condensation or hiatus. Shallow water successions, even though lacking in diagnostic fauna and easy to resent diagenetic effect, offers expanded successions. Chemostratigraphy is a useful tool in investigating how the CIE affected the sedimentary successions and in understanding, which factor(s) had a significant influence. Here we propose a platform-to-basin regional correlation of the carbon isotope curve comparing the amplitude and thickness of the C segments to investigate the variation of sedimentation rate and duration of the perturbation.
16:15 The Red Sea rifting in central Egypt: constraints from the offshore Quseir Moamen Ali, Alessandro Decarlis and Andrea Ceriani (Khalifa University, United Arab Emirates); Marco Ligi (Institute of Marine Science ISMAR, Italy)
The nature of the crust in the Northern Red Sea (NRS) is still debated. This paper describes the rift architecture, dynamics, and evolution of the NRS. The proximal margin domain is located onshore and is characterized by the latest Oligocene-Miocene half-graben basins. The offshore region is a necking domain dominated by low-angle, high-offset extensional faults. 2D forward models suggest that necking passes into a distal margin domain, where the continental crust thins to <10 km at 120 km from the coast. Our observations indicate a probable scenario where exhumed lower continental crust or serpentinized mantle is present in the distal domain. A comprehensive rift model for the NRS accounts for circa 25 Ma magmatic underplating accompanied by half-graben development, followed by Early Miocene crustal thinning accommodated by an east-dipping detachment fault, and a Late Miocene phase with a flip of the detachment geometry, that led to the present-day configuration.
16:30 Subsidence and uplift history of the sedimentary basins of Abu Dhabi, United Arab Emirates
Mohammed Jabir and Mohammed Ali (Khalifa University, United Arab Emirates)
Abu Dhabi sedimentary basins encompass over a 15-kilometer-thick stratigraphic record that their basement was not imaged by seismic nor deepest exploration wells. We used 260 exploration wells to delineate the subsidence and uplift history of the sedimentary basins of Abu Dhabi in addition to the amount of lithospheric stretching that occurred. We used the backstripping approach to differentiate between water and sediment-loaded subsidence and solely tectonic-driven subsidence. We observed two extensional events that are followed by another two compressional events. The extensional events were defined by a model of uniform depth extensions with initial rifting age of 272 Ma and final rifting at 160 Ma. The compressions occurred at around 110 and 25 Ma and are attributed to the emplacement of Semail Ophiolite and the Arabian and Eurasian plates collision, respectively.
16:45 A First Southern Hemisphere Record of Carbon Cycle Perturbation during the Carnian Pluvial Event
Wahyuningrum Lestari and Aisha Al Suwaidi (Khalifa University, United Arab Emirates)
The Carnian Pluvial Event is marked by major global climatic changes to a significantly more humid and wet setting, often associated with carbon cycle perturbations and changes in biota on land. This Carnian period also became one of the critical events in Earth History as it linked to the mass extinctions of key herbivores that were followed by an explosion and diversification of dinosaurs. This study will examine the first atmospheric carbon record of the Carnian Pluvial Event in the Southern Hemisphere through Bicheno 5 core, Tasmania. Three representing carbon isotope excursions through the section, one of which is interpreted as coming from the Carnian Pluvial Event. Geochemical analysis shows that weathering ratio increases during this period, primarily due to the significant climate change into a more wet and humid environment.
17:00 The characteristics and mechanisms of early marine cementation in carbonate sediments
Tianyu Cao (Khalifa University, United Arab Emirates)
Early marine cementation is widely distributed in various sedimentary settings, which plays a critical role in the diagenetic evolution of recent carbonate sediments. Through the data from cores, thin sections, and scanning electron microscopy, the features and mechanisms of early marine cementation from sabkha sediments in Abu Dhabi have been studied. The main mineral compositions of sediments in sabkhas are carbonate, gypsum, anhydrite, aeolian quartz, and feldspar. The carbonate allochems are composed of various bioclasts and peloids. There are gypsum, aragonite, halite, and pyrite cements in the sabkha deposits, which indicates the cementation is related to evaporation as well as some biological processes.
17:15 Upper Cretaceous Foreland basin: An Example from the outcropping Muti Formation of the Aruma Group, Around Al Jabal Al Akhdar, Northern Oman
Jenan Attar and Iftikhar Abbasi (Sultan Qaboos University, Oman); Mohamed Ali EL Ghali (Sultan Qaboos University, Malaysia)
The Upper Cretaceous Oman Foreland basin was developed in the western flanks of the Oman mountains due to the obduction of allochthonous units on the eastern margin of the Arabian Platform. The basin is filled with thick sedimentary sequences of the Aruma Group deposited both during the syn-and post-obduction phenomenon. The Muti Formation was deposited during the early stages of the foreland basin development. The main goal of this project is to study and understand the stratigraphic framework and depositional environment of the Muti Formation across the Oman foreland basin. Fifteen outcrop sections of the Muti Formation around Jabal Akhdar Dome have been studied and sampled. For the petrographical study, 49 thin sections were prepared. The carbonate thin sections were half stained with Alizarin Red S and Potassium Ferricyanide for mineralogical identification. Moreover, 79 samples were used for XRD analysis to identify clay minerals and cement types. The thickness of the Formation ranges from 13.4 m to 179 m. Five lithofacies associations were identified using ten logged sections. These lithofacies were subdivided into microfacies. The depositional model of the Muti Formation has been constructed based on the distribution and variation of sediment and biota content. The Muti Formation is interpreted to be deposited in the shallow marine environment.
16:00 - 17:30
EPS-D1-S3: Petroleum Engineering Engineering, Information Technology & Physical Sciences
Room 5
Chairs: Waleed Diab (Khalifa University of Science and Technology, United Arab Emirates), Andreas Fernandez Moncada (Khalifa University of Science and Technology, United Arab Emirates)
Sikandar Kumar and Muhammad Arif (Khalifa University, United Arab Emirates)
Carbonates reservoirs hold the world’s largest oil reservoirs, and thus their characterization is crucial for the success of enhanced oil recovery (EOR) methods. In this context, the fluid distribution at the pore scale and wettability alteration are the critical challenges associated with carbonate reservoirs. This work discusses the interaction between rock and fluid in pore space and the wettability restoration of carbonate rock by measuring contact angle using three-dimensional (3D) micro-CT techniques. The in-situ micro-CT experiments were performed on the cleaned core during steady flow core-flooding experiments at ambient conditions. The 3D images acquired at different stages helped to envisage the interaction of rock and fluids at high resolution. These images were used for contact angle measurements for the wetting phase and to obtain the pore geometry. The novelty of work lies in precise measurement of contact angle and understanding interaction between rock and fluid during core-aging.
Aaron Guadalupe Tellez Arellano and Emad Walid Al Shalabi (Khalifa University of Science and Technology, United Arab Emirates)
Polymer flooding, being among the most used cEOR techniques, has proven its value through the improvement of macroscopic sweep efficiency. However, this efficiency has been compromised in harsh conditions for High Temperature and High Salinity (HTHS) in carbonate rocks, where the geochemical interactions for polymer flooding have not been properly studied till date. Effects such as diffusion, polymer adsorption, and geochemical interactions between oil, polymer, brine, and rock phases are imperative for appropriately selecting a suitable polymer and ensuring the success of a polymer recovery project. The main objective of this research is to propose a mechanistic model that captures the physico-chemical aspects of polymer flow through porous media from a geochemical perspective through a coupled reservoir flow and geochemical numerical simulator (MRST-IPhreeqc).
Andreas Fernandez Moncada, Waleed Alameri and Emad Walid Al Shalabi (Khalifa University of Science and Technology, United Arab Emirates)
For the past decades, there has been an interest in enhanced oil recovery (EOR). Their implementation comes with important operational costs and while it can increment the reservoir’s recovery percentage, substantial upfront investment and high risk associated with every EOR operation make the selection a critical process. The successful implementation of EOR methods is highly dependent on reservoir properties, which ultimately determine the most suitable EOR techniques. A reliable method for EOR screening is necessary in light of recent advances and new EOR techniques developed in the years since the development of the classical look-up tables for EOR screening. As an alternative to conventional screening, this study proposes a comprehensive approach for EOR screening using Artificial Intelligence for sandstone and carbonate reservoirs. The main objective is to determine a relationship between reservoir conditions and the potential of a given EOR method through machine and learning techniques.
Anoo Sebastian (Khalifa University, United Arab Emirates)
The application of polymer flooding in carbonate reservoirs faces significant challenges, including polymer degradation, injectivity, and retention. With the increased awareness of the importance of water chemistry, this study investigates the effect of make-up water composition on an ATBS (Acrylamido-Tertiary-Butyl Sulfonate)-based polymer performance focusing on polymer-rock interactions. Static and dynamic adsorption studies were conducted at ambient temperature (25 °C) to investigate polymer performance and polymer-rock interactions. Different make-up water recipes were used with salinity ranging from 400 to 167,000 ppm. The polymer solution in the diluted brine showed lowered adsorption value of 25 μg/g-rock as opposed to the high salinity formation water (167,000 ppm) and seawater (43,000 ppm) with adsorption levels between 47-56 μg/g-rock. This research highlights the importance of make-up water salinity on polymer performance and concludes that low-salinity water injection enhances polymer flooding performance and reduces polymer adsorption.
Mahmoud Sami Aboushanab and Muhammad Arif (Khalifa University, United Arab Emirates)
Wettability is an important factor that influences several hydrocarbon reservoir properties such as relative permeabilities and capillary pressure, and hydrocarbon recovery. In this study, a micro-scale approach is presented to investigate the wettability of five different Middle Eastern carbonate rock samples with different mineralogy. The conventional contact angles were measured by the classical sessile drop method, while a condensation-evaporation experiment in an environmental scanning electron microscopy (ESEM) was used to determine the micro-contact angles. The results showed a notable difference between macro and micro contact angles as well as notable differences in the elemental composition even within both pure calcite and pure dolomite samples. Mixed wettability for carbonate rock is assured through the micro-contact angles as at least for all samples two different wetting behavior have been observed, on the other hand, macro-contact angles exhibit only one behavior for each sample. .
Waleed Diab (Khalifa University of Science and Technology, United Arab Emirates); Mohammed Al Kobaisi (Khalifa University, United Arab Emirates)
The success of machine learning in areas such as machine vision, and natural language processing using the encode-decoder transformer architecture has fueled significant interest in artificial intelligence by the public and the scientific computing community. Traditionally, machine learning for scientific computing relied heavily on data-driven approaches which suffer from poor generalization performance and high data requirements, which are often expensive to obtain. More recently, a new paradigm of algorithms that do not only rely on data but can also incorporate physical laws into machine learning algorithms has sparked significant interest in machine learning for scientific computing. This paradigm is generally referred to as physics-informed machine learning. In this work, we investigate solving the flow equation with sources and sinks for single-phase flow in a homogeneous and an isotropic porous medium with no data but on the boundary using this paradigm.
16:00 - 16:45
Poster-D1-S3-A: Poster Session - 3A
All Tracks
Room: Ballroom 3&4
Chairs: Abubakar Sani Ali (Khalifa University, United Arab Emirates), Lobna Nassar (Khalifa University, United Arab Emirates), Omar Zaatar (American University of Sharjah, United Arab Emirates)
Supported Multifunctional Catalysts for Water Remediation and Antifouling / Fouling- Releasing Surfaces
Ameera AlManea (Khalifa University of Science and Technology, United Arab Emirates)
Photocatalysis is an efficient and environmentally friendly method for degrading organic contaminants and sunlight can be used as the energy source. Fouling is a common issue for all membrane-based technologies caused mainly by organic foulants, and it has a significant negative effect on membrane performance. Thus, materials and techniques from photocatalytic pollutant degradation can be used to solve the problem of fouling for water treatment. Integration of photocatalysis to membranes offers strategies to treat water and provide antifouling or foul-releasing membrane surfaces. This project deals with the design and fabrication of a novel material as an active visible light responsive photocatalyst functionalized with anti-biofouling properties. These multifunctional catalyst's properties will be adjusted so they can be utilized to lower the rate of fouling in ultra- or microfiltration membranes. Testing of the designed multifunctional photocatalyst on UF or MF membranes will be carried out as well.
Noora Al-Rawahi (Sultan Qaboos University, Oman)
A bacterial infection has a negative impact on both health and the economy. Several different species of bacteria can be eliminated by using certain plant extracts. Pomegranates (Punica granatum) are thought to have antibacterial and antioxidant properties. Additionally, the blossom of the butterfly pea (Clitoria ternatea), exhibited antibacterial and antifungal properties. This paper examined the effects of pomegranate peel and butterfly pea flower extracts on five bacterial strains at various temperatures and periods (Escherichia coli, Staphylococcus aureus, Bacillus cereus, Pseudomonas aeruginosa, and Streptococcus pneumonia). Pomegranate peel extract (PPE) had the strongest effects against Bacillus cereus and Pseudomonas aeruginosa when tested using the well diffusion experiment. In general, the peel of pomegranates has varying degrees of effectiveness to inhibit all kinds of bacteria. However, opposed to other studies, butterfly pea flower extracts exhibit the opposite effects and have no impact on bacterial growth. Information on the functional component of pomegranate peel extract is provided via Fourier-Transform Infrared Spectroscopy (FTIR). As a result, pomegranate peel is regarded as an antibacterial agent that can be used to cure bacterial infections or preserve food.
Rasha Wadia Mohd, Anwer Shoaib, Lianxi Zhengg and Alaa Shaheen (Khalifa University, United Arab Emirates)
Low-cost production of strain/pressure sensors with high sensitivity, fast response, good stability, and repeatability is one of the critical challenges and missing gaps for the practical applications of flexible advanced materials in human motion detection, health monitoring, wearable technology electronics, and e-skins. The function of the proposed sensor will be accomplished by implying two nanomaterials. A combination of piezoresistivity and piezoelectricity is to be introduced via Carbon nanotubes (CNTs), and polyvinylidene fluoride (PVDF). Mxene was then utilized for better properties. To meet the required touch sensor, a way to make a composite between PVDF material and another piezoresistive material must be studied and discovered. The result was a well-designed PVDF/Mxene/CNTs tactile sensor that can detect a wider range of touch and motion with a sensitivity of 81.6 to 1% of strain. This paper concludes the work that has been done for the piezoresistive part of the tactile sensor.
Using Sequential Interactive Model Systems Method (SIMUS) to select the best location for photovoltaic renewable energy stations
Maryam Rahman (Sultan Qaboos University, Oman)
Renewable energy will have a major role in the twenty first century as they are environmentally friendly, nonpolluting, and clean energy. Many sites around the world have already been listed and identified as potential sites for renewable energy. This paper aims to explain how SIMUS software is applied in the selection for best location to site photovoltaic stations. SIMUS is a based on a linear programming model which used simplex algorithm. This research can enable decision makers to use an approach in the renewable energy field without using expert opinions. This paper can act as a guide to use the SIMUS software while siting for the location for solar energy without using weights.
Synthesis and Characterization of One-dimensional nanostructured inverse spinel ferrites
Anifat Adenike Bankole, Maguy Abi Jaoude and Mohammad Abu Haija (Khalifa University, United Arab Emirates); Kyriaki Polychronopoulou (Khalifa University of Science and Technology, United Arab Emirates)
One-dimensional nanostructured spinel ferrites of NiFe2O4 and CoFe2O4 were successfully synthesized via a low-temperature (120 o C) solvothermal approach. The as-prepared materials were subjected to thermal treatment at 500 o C and 650 o C. X-ray diffraction patterns confirmed the highly pure phase with cubic spinel structure of the samples produced at the two temperatures. The scanning electron microscope images revealed a uniform one-dimensional nanostructured morphology
Green environmentally sustainable packaging solutions in global E-commerce
Linsy Kavanancheeri (British University in Dubai & University of Birmingham Dubai, United Arab Emirates)
The purpose of this paper is to identify the factors affecting green packaging strategy development and to assess how the green packaging strategies leads to sustainable performance benefits. Green packaging is a growing market; firms can apply green packing concept in any industry. Business can take the competitive advantage by creating brand value and trust. Manufacturers and producers can focus on the most viable and cost-effective green packing solution using eco-friendly packaging materials. This paper included the enablers to buying green packaging products and how this leads to a positive impact on business and environment.
Eqlima Mohamed and Horia Ambrin (UAEU, United Arab Emirates); Negmeldin Alsheikh (UAE University, United Arab Emirates)
Researchers have identified research self-efficacy as one of the predictors of successful research productivity. Guided by Bandura's self-efficacy theory, this qualitative study aims to understand research self-efficacy among PhD graduate in the United Arab Emirates University (UAEU). A purposeful sample of 12 PhD graduate students were invited to focus group interviews purposefully to gain an in-depth understanding of research self-efficacy. The study used a priori thematic analysis method to analyze its qualitative data. Findings revealed increased research self-efficacy among students due to their experiences in the program and the struggles they had when conducting research. Implications of findings from this study could be used to improve mentor relationships and research scholarly activities especially article publication. A large-scale study is recommended to concur the findings of this small study.
"I still regard myself as a novice researcher":
Suad Abdulkareem Alhaj and Bashar El-khasawneh (Khalifa University, United Arab Emirates); Rashid Abu Al-Rub (Khalifa University-ADAM Center, United Arab Emirates); Federico Renda (Khalifa University, United Arab Emirates); Anup Mathew and Ikhlas Ben hmida (Khalifa UniversityCenter for Autonomous Robotic Systems United Arab Emirites, United Arab Emirates)
In recent years, 3D printing technology has seen several significant breakthroughs. The deployment of Cable Driven Parallel Robots (CDPRs) in research is being explored in a wide range of applications due to their low cost, high speed, large workspace, as well as the modularity of their design. However, the low stiffness of the cables in CDPRs remains a factor that leads to vibration and sagging that negatively affect its accuracy in positioning the end effector (EE). In this paper we present a geometrically exact approach based on the Cosserat rod theory to model the dynamics of a CDPR. This approach accurately models the cables by accounting for orientation in addition to position, thus accounting for DoFs that are not considered in other models, and making control of CDPR easier by introducing joint angles.
Lamiaa Elsherbiny and Matteo Chiesa (Khalifa University, United Arab Emirates)
Atomic Force Microscopy (AFM) is one of the most common experimental analytical instruments. However, it is mostly employed for surface roughness modeling and analysis. AFM can measure mechanical, electrical, magnetic, and chemical properties, among others. This research aims to develop an optimal framework to fully use the functions of the AFM for analyzing a TiO2 sample.
Anas Al Jamal (Khalifa University & ADAM Center, United Arab Emirates); Rashid Abu Al-Rub and Imad Barsoum (Khalifa University-ADAM Center, United Arab Emirates)
The mechanical response of cellular materials with spinodal-like topologies is numerically and experimentally investigated. Spinodal-like Stochastic TPMS sheet-based lattices based on SchwarzDiamond, Schoen−IWP, and Fischer Koch S shapes, and their periodic counterparts, are generated. In all cases, a wide range of relative densities is investigated. Finite element meshes are generated for each model, and the Uniaxial Compressive Modulus, Yield Strength, Plateau Strength, and Toughness are extracted. Experimentally, flawed samples were fabricated, using powder bed fusion and Ti-64 powder, to test for imperfection sensitivity. Spinodal-like materials are shown to be remarkably imperfection insensitive. At low relative densities, the mechanical properties of stochastic TPMS outperforms those of Periodic TPMS, largely due to their resistance to defects. Results of numerical simulations showed that, with the absence of imperfections, the mechanical properties of the optimized topology of the Periodic TPMS are superior to Stochastic TPMS at all relative densities.
Depressive Disorder Remote Detection Model based on Touchscreen Typing Behaviour
Ruba Fadul (Khalifa University of Science and Technology); Leontios Hadjileontiadis (Khalifa University of Science and Technology, United Arab Emirates)
Depressive Disorder (DD) is a leading cause of disability worldwide. Passive tools for screening the symptoms of DD are essential in monitoring and limiting the spread of the disease. Individuals' kinetic expression and activities reflect their mental status, including smartphone interaction. This paper explores how keystroke dynamics have revealed the diagnosis of mental disorders. A deep learning-based model is established to detect depressive tendencies denoted by the self-reported PHQ-9 score based on unobtrusively collected keystroke digital biomarkers. The detector was trained and validated on 24 subjects and achieved an AUC of 0.83 with correlated probabilities for subjects' status. The findings contribute to improving digital tools for objectively screening mental disorders in the wild.
Trad Abualbandora, Ahmad Al Tamimi, Mohammad Alshneeqat and Emad Elnajjar (United Arab Emirates University, United Arab Emirates)
This research's main goal is to investigate the impact of adding dimples to the NACA 0012 airfoil at various configurations and different angles of attack. The modification was done by introducing inward ellipse dimples on the top, bottom, and both surfaces. Dimples were added at 70% of the chord length (0.7C). Lift to drag ratios were obtained at several angles of attack, ranging from 0° to 14°. Results showed that the L/D ratio was improved by 23.8% at 14° AoA when a single inward elliptical dimple was added to the lower surface at a position of 0.7C
A severe accident mitigation strategy by external vessel cooling for a two-layer corium turbulence model
Kamran Mahboob (Khalifa University, Abu Dhabi UAE, United Arab Emirates)
To estimate the impact of the corium on the integrity of a reactor pressure vessel under Total Loss of Feed Water conditions, this research aims to give a framework for Reynolds Averaging Simulation results. Due to the so-called focusing effect, which occurs when a catastrophic nuclear accident occurs and the metal layer transfers heat more quickly than the oxide layer, the reactor vessel may fail, and the core may melt. Consequently, a conjugate heat transfer solver combined with a buoyant solver where enthalpy porosity techniques with high melting rates are used in the solution. Metal melting, curium solidification, and other thermal phenomena are predicted or resolved by the solver. Then, the created model is applied to research reactor pressure vessel rupture brought on by focusing effects. Reynolds Averaging Simulations were used to determine that containment in a double-layer vessel does not jeopardize the pressure vessel's integrity
Oussama Abdul Hay (Khalifa University, United Arab Emirates); Yahya Zweiri (Khalifa University of Science and Technology, United Arab Emirates)
Artificial Intelligence (AI) is gaining more and more significance in the manufacturing sector, as it offers the opportunity to enhance global output and productivity to keep pace with the rapidly growing world population. On-policy and off-policy RL are both heavily used to teach manipulators to do specific decision based tasks. While both approaches have seen success in the manufacturing industry, the off-policy methods have generally been found to be more effective at achieving longterm goals. This work aims to investigate the success of two methods specifically Soft-Actor Critic (SAC) which is an off policy method and Proximal Policy Optimization (PPO) which is an on-policy method. Both methods were employed to grasp an object with the availability of 47 states and showed an 80\% success rate. However, main differences were seen in the training time and steps needed to complete the task for each method.
Nadeen Y Elashwah and Georgios Karanikolos (Khalifa University, United Arab Emirates); Fawzi Banat (Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates); Hassan Arafat (Khalifa University, United Arab Emirates)
Water demand has been increasing with population growth as a result of urbanization and industrialization, putting a strain on global water supplies. Therefore, it is critical to adopt a costeffective water purification treatment. With their high stability, efficiency, and ease of operation, membranes can play a vital role in enhancing efficiency and reducing the negative environmental impact and cost of traditional industrial processes for water and wastewater treatment. Features such as high permeability and antifouling performance can be achieved by modifying membranes with nanostructured fillers to produce mixed matrix membranes that are able to meet and exceed current industrial separation standards.
Covid-19 Impact on Banks' Profitability Performance: A Cross-Countries Study
Amal Fayiz Hasan (American University of Sharjah, United Arab Emirates)
This paper is a preliminary research proposal to examine the impact of the coronavirus (COVID-19) pandemic on the profitability performance of the banking sector across countries. Our sample comprises 1090 listed banks in 116 countries from 2019: Q1 to 2022: Q3. The anticipated findings prove that the COVID-19 outbreak has significantly declined banks' profitability performance. Furthermore, the adverse effect of COVID-19 on the bank's profitability depends on bank-specific and countryspecific characteristics. The adverse effect of the COVID-19 outbreak on bank performance is higher in smaller and non-Islamic banks. The study expected results are robust to using the alternative bank profitability accounting-based and market-based measures. The study anticipated findings provide practical implications for banks' managers, policymakers, and regulatory bodies in the face of extraordinary uncertainty caused by COVID-19 different waves.
Photocatalytic/Photoelectrocatalytic conversion of CO2 and CH4 to high value products using Quantum dots/metal oxide nanocomposites
Israa Othman and Mohammad Abu Haija (Khalifa University, United Arab Emirates); Fawzi Banat (Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates); Giovanni Palmisano (Khalifa University, United Arab Emirates)
Herein, we report the synthesis of metal oxide (MO) QDs and metal sulfide (MS) QDs [M: In, Pb, Zr, Sn, Fe] and their nanocomposites with oxide nanoparticles (such as ferrites, vanadates). Different preparation methods were used for the QDs synthesis, including precipitation, solvothermal and wet chemical methods, while the nanocomposites were prepared using the solvothermal method. The prepared QDs nanocomposites were characterized using UV-Vis, fluorometer, high-resolution transmission electron microscopy (HRTEM), cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), and linear sweep voltammetry (LSV) to study their structures and photo and electrochemical properties. Preliminary studies were conducted to investigate photocatalytic reduction of CO2 and photoelectrocatalytic (PEC) partial oxidation of methane to high-value products.
Ayesha Rashid Alshamsi (The British University in Dubai, United Arab Emirates) Students with special educational needs and disabilities (SEND) have had the opportunity to attend mainstream schools in recent years as a result of right-based policies and obligations. Many people have an impact on the transition from rehabilitation centers to mainstream schools, including the parents of the students. Thus, the purpose of this study was to investigate parents' perceptions on the transition of students with disabilities from rehabilitation centers to mainstream schools in the UAE. Keywords- transition; rehabilitation; parents; SEND.
Elbara Fathelrahman Ali, Farah Nasser Almahrook, Alia Al-Bawardi and Maria J Fernandez Cabezudo (UAEU, United Arab Emirates); Basel Ramadi (UAE University, United Arab Emirates) Cancer treatment is a big challenge, especially when associated with metastasis. Melanoma is the deadliest form of skin cancer, characterized by its high metastatic potential and rising drug resistance. The incidence of melanoma is increasing worldwide. Hence, new, and effective modalities are needed to treat melanoma. Here, Ambrisentan, a selective antagonist of the endothelin type A receptor (ETAR) used in a preventative model for the treatment of melanoma, where it shows a significant effect on tumor growth and extent of metastasis. The mechanism of action is not fully understood, despite Ambrisentan's effect on tumor vascularity. These effects are highlighting the focus on using the Endothelin pathway in cancer therapy.
Ahmad Abubakar (SAN Campus & Khalifa University, United Arab Emirates); Lakmal Seneviratne (Khalifa University, United Arab Emirates)
Space rovers are operated either autonomously or remotely by an operator (teleoperation). Rover traversing over rocky and uneven terrains is one of the major challenges that require humans in the loop to have a successful space mission. Moreover, the space environment is often characterized by low light conditions and hidden obstacles like loose terrain, which are hard to be seen via Video feedback, as such Haptic feedback could complement video feedback to enhance the effectiveness of the rover teleoperation. In this work, an effective haptic teleoperation scheme is proposed to improve the tractive performance of UAE Rashid rovers while traversing a loose soil terrain. Slip-based force feedback is utilized to render optimal haptic guidance to the operator for traction awareness, which reflects changes in the dynamic environment due to wheel slippage. Simulation results show better performance by using both video and haptic feedback over video feedback alone.
Meghry Nazarian (United Arab Emirates University, United Arab Emirates); Negmeldin Alsheikh (UAE University, United Arab Emirates); Mohamed Alhosani (UAEU, United Arab Emirates)
Globalization and rapid societal changes continue to increase demands on the education system to prepare students for success in a complex world. This study aimed to accentuate English language teachers' voices by exploring their perceptions of 21st-century skills as presented in recent educational reforms in the United Arab Emirates. The study applied an exploratory sequential mixed-method design with two phases. For the first qualitative phase, semi-structured interviews were used. In the second phase, quantitative data was collected using a developed questionnaire to explore teachers' perceptions across a larger sample. Findings indicated that teachers recognize the importance of practicing 21st-century skills to stimulate students' engagement and improve their academic achievement. However, by integrating both qualitative and quantitative data, results have shown that teachers encounter challenges while incorporating 21st-century skills into daily teaching: lack of necessary knowledge, lack of time, lack of teacher collegiality, lack of meaningful trainings, and increased paper accountability.
Mithaa Alhanaee (Khalifa University, United Arab Emirates); Mohamed A Abou-Khousa (Khalifa University of Science and Technology, United Arab Emirates); Baker Mohammad (Khalifa University, United Arab Emirates)
The most critical physiological signals in the human body are heart and respiration rates. For the timely identification and diagnosis of disorders that can jeopardize the patient's health, reliable and continuous measurements of various vital indicators of the human body are essential. Traditional clinical techniques for measuring these vital signs may not be convenient for reliable measures over a lengthy period of time.
On the other hand, non-contact wireless vital sign measures based on radars offer the distinct advantage of allowing the patient to move around unrestrictedly. However, it has been demonstrated that the clutter and random body motion have a negative impact on the sensitivity of the radar systems created for this application. The paper deploys a novel modulated scatterer-based remote monitoring method for vital signs monitoring. The proposed method aims to reduce the impact of both clutter and erratic body movement.
SUNDAY, MARCH 19
A case study of parentification's effects on depression and attachment style
Roxanne Wolmarans (United Arab Emirates University, United Arab Emirates); Maria Susana CampoRedondo, Miss (United Arab Emirates University UAEU & None, United Arab Emirates)
There has been extensive research on how parentification affects adult attachment types. Parentification can cause uncomfortable emotional and psychological feelings, such as depression and anxiety, in those who experience it. It has been connected to the development of anxious and avoidant attachment styles in adults. Because of their early experiences of parentification as a result of childhood trauma, these parentified adults frequently exhibit early maladaptive schemas (EMS). This case study examines how parentification has affected "Rachel" and teaches how to treat EMSs using Schema Therapy (ST), which includes interpersonal, cognitive, behavioral, and experiential parts of treatment. Keywords- schema therapy, early maladaptive schema, anxiety, parentification
Pre-cooling systems for hydrogen fueling stations: Techno-economic analysis for scaled enactment
Muhammad Sadiq and Ahmad Mayyas (Khalifa University, United Arab Emirates)
Hydrogen fueling standards stipulates a sustainable cooling system technically and economically. Accordingly, the interior surface temperature of the on-board H2 storage tank in fuel cell electric vehicles must not exceed the maximum specified. In this context, H2 refueling stations often employ doubletube and block heat exchangers for heat transfer. This study examines the H2 pre-cooling system for various loads and provides a comparative techno-economic analysis of double tube heat exchangers (DTHE) and microchannel heat exchangers (MCHE). The results showed that the MCHE outperformed the DTHE for setups in mass manufacturing, improved effective heat transfer area, and predicted long term unit cost. With high production rates, it is expected that the unit cost of the MCHE will decrease by up to 74%. In switching from DTHE to MCHE, general material requirements decreased by ~60%, with scrap waste savings of ~45% reflecting an appreciable footprint reduction.
Abdullah Adel Abdeen and Shayok Mukhopadhyay (American University of Sharjah, United Arab Emirates)
The paper proposes a novel method of semantic navigation and lane keeping for autonomous robots in the outdoor environment. A robot with a prebuilt semantic map will be able to identify its approximate location without using any location-based sensors, but only using visual data obtained from a mono camera on the robot. The goal is to have the robot be able to navigate from one landmark to the other using semantic map, and visual based lane-tracking. ROS will be used as the main platform of the system, as well as OpenCV for the bulk of the image processing. We aim to test the capabilities of current robotic system to navigate without the use of absolute location sensors
Bashayer Ali Alshehhi, Eng., Shamma Mohamed Altaffaq, Shamma Alaryani and Lobna Salah Shaikhoun (United Arab Emirates University, United Arab Emirates); Sangarappillai Sivaloganathan (UAE University, United Arab Emirates)
Systematic Design process breaks down the design process into stages such as Requirements, Product Concept, Solution Concept, Embodiment Design and Detail Design. Engineering Product design on the other hand depends heavily on engineering calculations. It often appears that these are two totally different paths that cannot be merged and, in this research, we apply the systematic design process on the design of an engineering product: A Manual Screw Press for the Production of Biomass Briquettes. The results show that following the systematic design process ensures that we choose the better concept and gives more confidence on the results.
Preetha Menon Karuveetil and Mohamed El-Sadig (United Arab Emirates University, United Arab Emirates); Michal Grivna (UAE University, United Arab Emirates); Moienuddin Abdul Basith Khan (United Arab Emirates University, United Arab Emirates)
Quad bikes or all-terrain vehicles are known for their propensity for crashes resulting in injury, disability and death. The aim of this review was to identify the risk factors associated with quad bike crashes at multiple levels through a systematic review of a wide range of study designs. The study has incorporated a mixed-method systematic review approach where ten electronic databases were searched. Studies were screened and extracted using Covidence software (Veritas Health Innovation, 2020). Quality appraisal using the Mixed Method Appraisal Tool (MMAT) selected thirty-nine studies combining an aggregate of 65170 participants. The synthesized results presented risk factors in a Haddon Matrix. Increased age of driving initiation, reduced substance use, and the use of organized riding parks could reduce quad bike injuries. Riding practices such as avoiding passengers, avoiding night-time riding, and using helmets could significantly reduce crashes and injuries among riders.
Talaat Elsaid Elrakhawi, Mr (SQU & MUSCAT, Oman); Mohammed Shahat (Sultan Qaboos University, Oman)
The study aimed to reveal the obstacles faced by teachers in the application of the investigation methods of the STEM classroom in the Sultanate of Oman. Results; to achieve the objectives, the study employed a descriptive design, and seventy-seven teachers who received training in a STEM program for the academic year 2020/2021, who are participating in response to a questionnaire tool, the results of statistical processes indicated that; the arithmetic averages of the content, the teacher, and the educational environment dimensions are 3,4, 2,9, 3,3 respectively, and also the analysis of statistically significant showed that there is equal variation due to the gender variable, finally, the study recommends that the content of science must develop to achieve STEM objects, equipped educational environment is providing with technological tools, and professional programs and workshops must be prepared for teachers in schools.
Siham Z Abukhalaf (BUID, United Arab Emirates)
Arabic is the nation's official language and the language of all federal authorities in the UAE, yet English is the country's lingua franca and the medium of instruction for almost every private educational institution. A Language Education Policy was launched in the UAE emphasising the need to learn a second language (L2) in addition to the first language (L1). Therefore, much attention has recently been paid to the policy of bilingual education, wherein modernising the UAE's education system and promoting a bilingual approach to teaching and learning were the central objectives of the strategic plan for educational supervision bodies. This paper aims to identify the strengths and weaknesses of the language policy of an IB curriculum school in Abu Dhabi and provide some recommendations. The language policy document of an International Baccalaureate (IB) curriculum is critically analysed which led to several key findings, hence, these findings are presented and discussed.
Ayisha Al-Saidi and Zuhoor Al-Khanjari (Sultan Qaboos University, Oman)
In recent years, Microservices Architecture (MSA) has been getting more attention and being a widely studied topic in the literature and adopted by various large companies like Google, Amazon, Netflix, LinkedIn, Uber, and many others. However, Microservices are still an unclear topic from many sides and some companies still find some difficulties and challenges in the process of migrating their existing systems to Microservices and how to figure out their problems. In this paper, we plan to cover some critical aspects of migrating Monolith into Microservices and the importance of this step for large and complex systems.
16:45 - 17:30
Poster-D1-S3-B: Poster Session - 3B
All Tracks
Room: Ballroom 3&4
Chairs: Trad Abualbandora (United Arab Emirates University, United Arab Emirates), Anas Al Jamal (Khalifa University & ADAM Center, United Arab Emirates), Israa Othman (Khalifa University, United Arab Emirates)
Geometrical tailoring of pyramidal lattice structure: a numerical parametric study
Mohammed Ayaz uddin (Khalifa University, United Arab Emirates); Andreas Schiffer (Khalifa University of Science and Technology, United Arab Emirates); Imad Barsoum (Khalifa University-ADAM Center, United Arab Emirates)
Pyramidal lattice structures have frequently been employed as the core material in the design of sandwich structures because they provide great weight-specific strength. In order to evaluate the sensitivity of the design parameters and their importance on the mechanical performance of pyramidal lattice structures, this study will undertake a parametric investigation (cross-sectional parameters) of geometrically tailored struts (chamfered I-section). Seven geometrically tailored strut-based pyramidal structures' strength, stiffness, and specific energy absorption were predicted using the FEA model under quasi-static compression conditions. These properties were then normalized against their non-tailored square counterparts. Structures with the same relative density but varied thickness has demonstrated distinctly different mechanical responses, particularly in terms of peak strength and energy absorption. According to this study, tailoring the conventional structures geometrically while utilizing the optimum design parameters will significantly enhance their mechanical properties.
Shabniya Veliyampatt (Khalifa University, United Arab Emirates)
The quality of construction management depends heavily on accurate cost estimation. According to the prevailing estimating practice, an inconsistency exists between the estimated and actual costs of construction projects. This research aims to compare the cost estimation models produced using various methods to determine their efficacy in producing realistic and accurate cost forecasts of building projects in the initial stage of project. The Non-Traditional Methods employed in the study are Hybrid Artificial Intelligence models. The significant factors affecting construction cost overrun are to be identified by conducting t-test using SPSS Software. Data from maximum number of real executed construction projects in UAE are to be collected, to build up models using python. Effectiveness of the cost models are determined on the basis of Standard errors and Overall Index of the models. The efficient model could be used to derive the relationship between Cost and Time of the projects.
DENTAPNEA: Design of a low-power wireless dental mouthpiece to assess genioglossus muscle activity in obstructive sleep apnea patients at wakefulness and during sleep
Adil Rehman and Hani Saleh (Khalifa University, United Arab Emirates); Ahsan Khandoker (Khalifa University of Science, Technology and Research, United Arab Emirates); Ali Khraibi (Khalifa University, United Arab Emirates)
Upper airway (UA) patency plays a major role in human especially for effective respiration.
Genioglossus (GG) muscle is a key dilator muscle to maintain UA patency. However, during sleep state GG muscle over relaxed which results into posterior part of tongue collapses on the throat that results into complete or partial cessation of air into UA, which is known as Obstructive Sleep Apnea Hypopnea Syndrome (OSAHS). In this study, we design a high-level model that can perform preprocessing of polysomnography (PSG) signals including airflow, O2 saturation, chin EMG, GG muscle EMG. It also includes ANN model which can perform operation of screening between apnea & non-apnea events for OSA subjects. It is determined that airflow signal directly dependent on apnea event while SpO2 is indirectly dependent on apnea event. Also, during apnea & non-apnea event the frequency range is dominant in the range of 20-30 Hz for chin EMG signals.
Origami-Inspired cylindrical structures for energy absorption applications
Khaja Fayaz Hussain (Khalifa University, United Arab Emirates); Wesley James Cantwell (Khalifa University of Science and Technology, United Arab Emirates); Kamran Khan (Khalifa University, United Arab Emirates)
This paper deals with the energy absorption of Miura-based cylindrical origami structures with different patterns and different cross-sectional shapes. The base unit is inspired by curved crease origami and Miura-based crease patterns. The structures included in the paper are star and circle geometries with curved crease and Miura crease patterns and are 3D printed with Nylon as the material. The structures were subjected to compression tests to determine energy absorption. These structures can be considered an integral part of sandwich cores for future studies to enhance the energy absorption characteristics for aerospace applications.
Omar Zaatar, Amer Zakaria and Nasser Qaddoumi (American University of Sharjah, United Arab Emirates)
Microwave imaging for biomedical applications is a promising modality due to its numerous advantages. One of its medical applications is the estimation of bone density for monitoring osteoporosis. In this thesis, a novel wearable tomographic Microwave Imaging (MWI) system is designed and implemented to estimate the bones' electrical properties and thus their health, by imaging the lower limb bone of the human. The main two hardware components of the system are a microwave switch and an array of antennas. In the proposed system, a 2-by-32 microwave switch matrix is designed using a combination of Single-Pole Double-Throw (SPDT), Single-Pole Four-Throw (SP4T), and Single-Pole Eight-Throw (SP8T) switches. The switch matrix will connect a two-port vector network analyzer (VNA) to an array of thirty-two antennas. Further, the proposed design will enable a given antenna in the system to be used simultaneously as a transmitter or as a receiver.
Ala A Alhammadi and Chan Yeun (Khalifa University, United Arab Emirates); Ernesto Damiani (Khalida University - EBTIC, United Arab Emirates)
The paper proposes a framework using artificial intelligence in optimizing and improving steam power plant operations. Specifically, we will use the boiler subsystem which is a major part of the steam power plant as a case study. The boiler subsystem will be simulated using the Simulink. Our goal is to use this simulation model to produce a data collection that can be incorporated into an AI strategy. We calibrate our simulation model based on a comparison between our data set and the data set from a real power plant. The simulation data set was chosen because it allows us to easily modify the input parameters. Consequently, comparing the outputs of the genuine power plant with the reality of the created data set. This paper discusses the proposed framework and machine learning technique in which the data-set will move to further process for training and testing using different regression analyses.
Hussein K Amusa, Ahmad Darwish and Hassan Arafat (Khalifa University, United Arab Emirates); Enas M. Nashef (Khalifa University, SAN Campus, United Arab Emirates)
In this work, a green solvent, namely deep eutectic solvent (DES) with a strong reducing ability was used for the extraction of lithium (Li) and Cobalt (Co) from spent lithium-ion batteries (LIBs). The ascorbic acid: glycine-based DES showed excellent performance with an extraction efficiency of 97.15% and 82.45 % for Li and Co, respectively, under mild conditions. This enhanced performance of the DES is attributed to the combined reducibility, acidity, and complexation abilities of the DES for valuable metals from the spent LIB
Abubakar Sani Ali (Khalifa University, United Arab Emirates); Sami Muhaidat (Kahlifa University, United Arab Emirates); Lina Bariah (Technology Innovation Institute, United Arab Emirates); Mahmoud AlQutayri (Khalifa University, United Arab Emirates); Paschalis C. Sofotasios (Khalifa University & Tampere University, Finland)
Wireless networks are evolving towards enabling reliable communications for miniature-sized and resource-constrained Internet-of-things (IoT) devices. These devices have limited capabilities and might be in inaccessible places, making battery replacement or recharging a challenging task. Energy-efficient solutions should be developed to ensure seamless wireless communications for power-limited IoT devices. In this paper, we consider the integration of long-range (LoRa) modulation into backscatter communications (BackCom), and considering a more practical scenario when the RF interference cannot be eliminated, we propose a deep learning (DL)-based signal detection approaches for improved system SER performance and reliability. The obtained analytical results, show that the DL-based signal detection exhibits superior SER performance, when compared to the conventional correlator-based signal detection, when a strong RF interference is experienced.
Aisha Ahmad Abu Hijleh (Ajman University, United Arab Emirates)
Hurtful, negative, unhealthy, destructive and corruptive behaviors which can be adopted by employees against others are part of dynamics at workplaces. This study aims to measure the role of gender and its impact on revenging and apologizing in the workplaces for expatriates. This research is focused on educational sector within the UAE. In order to answer the research question, a qualitative approach has been applied where 20 expatriate individuals were interviewed. The study has found a significate difference between gender's behaviors. The study has a business implication that might guide the organization in creating their policies. Therefore, the implication and limitation of this study is discussed.
Muhammad Ahmed Humais (Khalifa University, United Arab Emirates); Yahya Zweiri (Khalifa University of Science and Technology, United Arab Emirates)
This paper presents a novel approach to pursuit a dynamic aerial target by a quadrotor using nonlinear model predictive control (NMPC). The framework relies on the objectives of perceptions and actions in a unified manner to derive the planning and control decisions. The NMPC allows the quadrotor to reach its limits while ensuring that the physical states and inputs constraints are met. At the same time, the perception objectives are met by ensuring that the dynamic target stays within the visual field of view and moves at the lowest possible velocity in the image plane to avoid motion blur. The NMPC is shown to handle these conflicting control-perception objectives in a successful way given an accurate model of the platform. To achieve this accuracy, a modified relay feedback test is used experimentally to deduce the model parameters of a real physical platform.
Hessa Alshamsi and Fatima Alani (Khalifa University, United Arab Emirates); Herbert F Jelinek (Healthcare Engineering Innovation Center, Khalifa University & Charles Sturt University, United Arab Emirates); Ravindra Stephen Goonetilleke (Khalifa University, United Arab Emirates)
With the increasing number of hours we spend indoors, changes in architectural design and advances in person-based recording technology that enables recognition of subtle emotional and cognitive responses to environmental factors, the need for an update of human-centered design principles is crucial. The scope of work includes recording physiological variables from subjects by exposing them to different indoor virtual environments with varying contextual features. The results indicated varying activation levels in EEG with the exposure to positive and negative office environments.
The Effectiveness of an Internet-Based Cognitive Behavioural Therapy and Exercise in Chronic Knee Patients with Psychological Distress
Amal Alaradi and Yusuf Sayed Sharaf (University of Bahrain, Bahrain)
Chronic knee pain is a highly prevalent musculoskeletal condition. Icbt and exercises are amongst the recommended treatment protocols for this condition. We aimed to examine their effectiveness on pain and function in the treatment of chronic knee patients with psychological distress. We found that combining an iCBT program and exercises can effectively improve pain and function in this group of patients. However, when comparing the results with a control group -exercises and educational sessionsonly pain and step test results has improved significantly.
Sara Alaraimi (Sultan Qaboos University, Oman)
The population growth and the industrial revolution led to an increase in global energy demands. Most of these demands have been met by crude oil. The primary and secondary oil recovery processes collectively extract only one-third of crude oil, and the majority of the oil is trapped in the reservoir pores. Different technologies have been developed to maximize the recovery of this trapped oil, such as polymer flooding. The biopolymer pullulan, produced by some Aureobasidium species, has been used in many industrial applications, but no research has been conducted regarding its use in microbial enhancement of oil recovery (MEOR). Here, we investigate the potential of A. mangrovei SARA-138H to produce pullulan, optimize its yield and viscosity, and evaluate its potentiality for EOR applications. Based on genome annotation integrated at JGI fungal genome portal (MycoCosm), the fungus contained all the genes encoding the enzymes required for pullulan biosynthesis.
Mujeeb Rahman Kanhirakadavath, Khawla Ahmed, Tala Mohd and Amina Wali (Ajman University, United Arab Emirates)
Diabetes can cause diabetic retinopathy (DR), an eye condition that can ultimately lead to blindness. The DR is rising as a result of the rising prevalence of diabetes worldwide. Routine eye checkups at the hospital are suggested to maintain the health of a diabetic eye. The main goal of this study is to develop a machine-learning (ML) DR screening tool that delivers accurate results without the use of a powerful computer or specialized software. A secondary goal is to evaluate the usability of smartphone-based fundus imaging as a low-cost alternative for fundus image acquisition. Using MATLAB software and the GLCM features derived from 560 previously recorded fundus images, we constructed a DR classifier that had a 96.45% training accuracy and a 95.99% test accuracy. A user can feed fundus photos received from a smartphone into the user-friendly graphical user interface (GUI) we created for early screening.
Imaging of Noble Metal Atom-Clusters Loaded Graphene at the Atomic Scales
Moshood Olawale Bolarinwa (Khalifa University Dorm & Khalifa University, United Arab Emirates); Dalaver Anjum (Khalifa University, United Arab Emirates)
Noble metal clusters (NMCs) have attracted a considerable interest and have emerged as promising heterogeneous catalysts owing to their excellent catalytic behavior due to 100% metal atom utilization as against nanoparticles (NPs) containing counterparts. The spatial resolutions of traditional transmission electron microscopy (TEM) based techniques are insufficient to "characterize" the NMCs containing catalyst supports. Therefore, it becomes difficult to know if the supports are loaded with either NPs or NMCs. In this paper, we use the advanced technique of aberration corrected STEM techniques to measure the morphology and composition of Iridium (Ir) and palladium (Pd) NMCs loaded onto graphene support.
Accurate Interfacial Tension Modeling using Artificial Intelligence Techniques of CO2 And H2 Brine Systems: Application for Underground Storage
Johny Mouallem and Muhammad Arif (Khalifa University, United Arab Emirates)
Carbon capture utilization and storage (CCUS) and underground hydrogen storage (UHS) constitute promising techniques to address the challenge of climate change.
SUNDAY, MARCH 19
Subsurface storage of CO2 and H2 depends on several factors. One critical parameter is the interfacial tension (IFT) of the fluid-fluid system in question. Different intelligent models such as Gradient Boosting (GB), Neural Network (NN) and Random Forest (RF) will be used to predict IFT for CO2-H2/brine systems. Moreover, an improved IFT correlation as a function of thermophysical and chemical properties is presented to quantify IFT. Numerous researchers investigated the IFT of fluid-fluid systems and its effect on CO2/H2 geo-storage but few were able to generate a robust correlation to forecast IFT. This paper is providing a reliable and accurate correlation for CO2/brine IFT based on the largest data set in literature and for the first time a new correlation for H2/brine system.
How does a Specialized Cardiac Centre in Bahrain Adapt Patient Management and Health Care Services in the in the midst of the COVID-19 Crisis?
Sahar Mohammed Aldahoon (University of Bahrain, Bahrain)
Coronavirus disease is an infectious respiratory disease caused by the Coronavirus, SARS-CoV-2. In March 2020, the World Health Organization declared that the Coronavirus-19 outbreak became a global pandemic. Globally, several measures were implemented to control the pandemic, including staying-athome orders, wearing face masks, and modifying medical services. For instance, outpatient services, routine diagnostic procedures, screening campaigns, and regular surgical procedures were disrupted in several healthcare facilities. Since cardiac centres are essential facilities in the healthcare system, any adaptive measure should take into consideration its impact on patients' outcomes. In the context of an unprecedented health crisis, hospitals had to massively deprogram their activities to devote themselves to the management of COVID-19 patients. It was the context of the unprecedented health crisis of the COVID-19 pandemic that demonstrated the ability of all healthcare workers to innovate together, improving the adaptations and health solutions. Digitalization is a response to the challenge of transformation. In the long term, the importance of health and structuring for our health system emerges
Asmaa Shabnuti and Sulaiman AlBlooshi (Sultan Qaboos University, Oman)
3D printing is considered one of the Fourth Industrial Revolution technologies, which has recently gained great popularity. Its use in schools has become part of the spread of trends towards the practice and application of science. The current study aims to systematically review the literature on the use of 3D printing in science education. The study focuses on describing the educational level used in implementing the learning based on the use of 3D printing in science education, science curricula that implement learning based on the use of 3D printing and identifying the most important science education outcomes using 3D printing. (32) articles published in a number of databases were analyzed. The results indicated a variety of science curricula (biology, chemistry, physics, and STEM) that implemented 3D printing-based learning, and the education levels varied from primary to university, while the 3D printing-based learning outcomes included a number of skills, some are academic achievement, creativity, content knowledge skills, understanding, concept acquisition, and others.
Samer Alalalmeh, Omar Hegazi, Ahmad Alfaresi, Sanah Hasan and Ahmed Abdalla Gaili (Ajman University, United Arab Emirates)
An anonymous questionnaire evaluating health literacy skills including basic reading, comprehension, percentages, proportionality, and measurement was developed, translated, and culturally adapted. The study included individuals aged 18 or older who were proficient in Arabic and diagnosed with hypertension. Factor analysis, which resulted in 5 dimensions, was used to evaluate the psychometric properties of the High Blood Pressure Health Literacy Scale. The scores of the questionnaire were compared to the Newest Vital Sign and the European Health Literacy Survey Questionnaire to determine convergent validity. A higher score of print health literacy was present in 68.9% of the participants, with a higher score of numeracy being present in 68.3% and a higher score of general health literacy being present in 81.0%. This study found that the translated and culturally adapted tools can be reliably used to assess health literacy among hypertensives in an Arabic context, as they showed strong validity and reliability.
Vortex-Induced Vibration of Single Cylinder at High Reynolds Numbers
Ahmed Salih, Mohamed Ali, Ahmed Al Kaabi, Saeed Al Ameri and Imran Afgan (Khalifa University, United Arab Emirates)
Due to interaction between fluid and structure system, and under certain flow condition, vortexinduced vibration (VIV) phenomena occurs. Large amplitude vibrations due to VIV can affect system operation and lead to system failure. Understanding and predicting VIV could help in mitigating this phenomenon. The current work investigates the VIV of single cylinder with two degree of freedom. The drag coefficient, lift coefficient, displacement, and flow fields are analyzed using computational fluid dynamic method. All simulations are performed using OpenFOAM with Reynolds-averaged Navier-Stokes (RANS) turbulence models. A mesh sensitivity analysis is performed, then, the code is validated against available data from the literature. The behavior of the coupled flow-structure interaction system is analyzed at region close to the natural frequency of the structure.
A High Resolution Regional Ocean Model to study Climate Change Impact on the Arabian Gulf
Alfiya Fathima Paradan (Khalifa University, United Arab Emirates); Maryam Rashed AlShehhi (Khalifa University, Civil, Infrastructure and Environmental Engineering & MIT, United Arab Emirates)
Climate change impacts on the Arabian Gulf region are already evident and impacts are expected to be magnified because of the specific geographic location and climatology. Here we attempt to develop a high resolution Regional Ocean Model to study the climate change impact on Arabian Gulf waters. This study specifically aims at establishing the suitability of a new set of atmospheric forcing files for the model. The study compares the model performance using 6-h European Centre for Medium-Range Weather Forecasts (ECMWF) and fifth generation of the ECMWF Atmospheric Reanalysis known as ERA5 with Master Oceanographic Observations Dataset (MOODS). It was found that ERA5 model have a better representation of Arabian gulf waters than The ECMWF model especially for salinity and potential density.
Mitigation of Water Eutrophication Using Positively Charged Self-Assembled f-MWCNTs/GOBased PLA
Lobna Nassar (Khalifa University, United Arab Emirates); Fawzi Banat (Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates); Shadi Wajih Hasan (Khalifa University of Science and Technology, United Arab Emirates); Vijay Wadi, Riaan V Der Merwe and Hanaa Hegab (Khalifa University, United Arab Emirates)
The integration of membrane technology with nanotechnology has prompted revolutionary advances in the treatment of wastewaters. Graphene oxide and multi-walled carbon nanotubes have recently attracted attention, as they have proved to have potential in various applications. In this study, functionalized multi-walled carbon nanotubes (f-MWCNT)-graphene oxide (GO) composite was prepared and incorporated into polylactic acid (PLA) membranes via phase inversion. The effect of f-MWCNT-GO addition on the flux, nutrients rejection and other characterization tests were investigated. Different concentrations of f-MWCNT-GO (0, 1.5, 3, and 6 wt.% of polymer) were used. The obtained results will demonstrate the potential application of PLA/f-MWCNT-GO in the treatment of wastewaters.
The comparison of 2-terminal and 4-terminal impedance spectroscopy of soils
Nurym Noyanbayev, Ashwin Manjunath and Noureddine Harid (Khalifa University, United Arab Emirates)
The frequency dependence of soil electrical parameters (resistivity and permittivity) was investigated using 4-terminal and 2-terminal impedance spectroscopy. The complex impedance of for 2-terminal measurement consists of "bulk" (actual media impedance) and electrode-electrolyte interface (EEI) impedances. To avoid EEI effect 4-terminal measurement were applied and compared with 2-terminal method for 1.0% moisture sand and 3.6% moisture clay soil. The resistivity values with 4-terminal method showed that in sand sample EEI were almost eliminated, whereas in clay soil sample EEI were reduced, but remaining high resistivity in low frequency may be explained due to intrinsic polarization process occurring in clay.
Malak M AbuZaid (Khalifa University, United Arab Emirates)
The presence of high concentrations of antibiotics in wastewater has paved the way for the development and spread of pathogens with antimicrobial resistance (AMR). Along with the continuing water stress, this leads to adverse effects on both environment and human health. Antibiotics, when reaching wastewater treatment plants, result in deterioration of their efficiency, especially in the biological treatment process, and this results in wastewater leaving the system untreated, where it will eventually find its way into groundwater or surface water. Nanomaterialsbased membrane technology has shown outstanding characteristics, particularly two-dimensional nanomaterials. In this study, graphene oxide (GO)/MXene composite membrane was fabricated by vacuum-assisted filtration method for antibiotic removal from wastewater. Characterizations were carried out such as Scanning Electron Microscopy (SEM), and X-ray diffraction (XRD. When compared to pristine GO and MXene membranes, the composite GO/MXene membrane possessed a lamellar structure with a higher interlayer spacing.
Hammad Masood, Valerie Eveloy and Mohamed Shawky El Moursi (Khalifa University, United Arab Emirates)
Industrial activities account for one third of the world's energy use. The iron & steel and cement industries are among the most energy-intensive industries, emitting 8-9% of global CO2 emissions annually. This paper provides a brief overview of carbon emissions reduction strategies for these industries based on information published in academic and grey sources. The article begins with an overview of iron & steel and cement making processes. The decarbonization potential of these industries is then discussed, highlighting cross-cutting technologies for reducing CO2 emissions in these sectors.
Ahmad Alali, Alyazyah Alhefeiti, Shatha Siefan, Khalood AlHammadi, Maher Maalouf and Shahd Al Sane (Khalifa University, United Arab Emirates); Herbert F Jelinek (Healthcare Engineering Innovation Center, Khalifa University & Charles Sturt University, United Arab Emirates)
Heart rate variability can be associated with important factors such as Inflammation markers and chronic diseases like diabetes mellitus (DM), cardiovascular disease (CVD), and depression. The influence of the factors required further investigation by using a dataset of more than 2500 screening data rows. The study develops a regression model for the numerical and categorical variables using RStudio and Python. To study the relationship between the lying/standing heart rate (LS-HR) and the inflammatory variables.
Sample-efficient Learning-based Collision Detection for Collaborative Robot
Zhenwei Niu, Taimur Hassan, Mohamed Boushaki and Naoufel Werghi (Khalifa University, United Arab Emirates); Irfan Hussain (Khalifa University of Science Technology and Research, United Arab Emirates) Safety holds prime importance within collaborative robotics, and it can be ensured through robust collision detection and avoidance mechanisms. Collision avoidance can prevent collisions from occurring, however, it may not always be sufficient. It is crucial that the robot can quickly detect and react to unexpected collisions to prevent injury or damage. Conventional learning-based methods require a large amount of data in time series to find the dynamic correlation between input signals and perform classification. Instead of focusing on the dynamic relationship search, in this paper, we propose to use the continuous wavelet transform to perform signal processing and extract more informative features from a small amount of data. Consequently, more underlying patterns can be captured and used for deep learning-based classification. Compared with conventional learningbased methods, the proposed CWT-CNN is much more sample efficient, requiring only 2 minutes of collision data for training, while no dynamic model is needed.
Mohammed Ashraf Moustafa Mohammed and Gul Jokhio (British University in Dubai, United Arab Emirates); Abid Abu-Tair (University of South Wales, United Arab Emirates); Ali Nadjai (Professor of Fire Structural Engineering, United Arab Emirates)
Fiber reinforced polymer (FRP) has been increasingly used nowadays as an effective rehabilitation method to repair beams, columns, slabs caused by structural flaws that are a result of the aging of the service life of building structures. This research conducts numerical evaluation to know the behaviour of recycled reinforced concrete (RCA) beam samples; additionally, normal weigh aggregate (NWA) beam as control sample strengthened by carbon fiber reinforced polymer (CFRP). This research aims to try and predict the effect of strengthening (RCA) reinforced beam samples with (CFRP) without shear reinforcement on shear capacities, deflections and damage mode types (Shear- Moment) .
Mahmood H. Shaker (University of Bahrain & Gulf Air, Bahrain); Adel Ismail Al-Alawi (University of Bahrain, Bahrain)
In the aviation industry, large volumes of data are collected daily, varying from engine maintenance to flight monitoring information. The industry also gathers data from each flight that can indicate the level of pilot performance and allow for a thorough analysis to be presented, including tailored training programs to enhance pilot performance. This paper presents a systematic literature review of 10 related works, extracted and analyzed, to describe the current application of Big Data and AI in commercial airline pilots' training, and to identify areas where the research is limited or missing. Based on this review's descriptive qualitative content analysis method, the themes identified ranged from civilian to military training across different stages of the pilot training program. Findings reveal that research gaps exist in the current literature, where there is currently limited knowledge of how Big Data and AI can be systematically and comprehensively applied to pilot training that provides real-time feedback and span across the various stages of training. The review also shows that there is an absence of Micro-Adaptive Learning approaches to training programs that are tailored to individual pilots with varying learning styles and capabilities.
Alyaziya Al Jaberi (Khalifa University, United Arab Emirates)
Warehouse operations are critical components of the supply chain and its success. To enhance the operations of warehouses, a storage allocation policy has to be enhanced to maximize utilization of the warehouse and improve the overall process; this includes reduced lead time and satisfied customers. Multiple storage types are available, including dedicated, randomized, and class-based storage. Since each warehouse has its unique nature and ordering policy, finding the optimal storage type remains challenging. This research aims to create a framework that can be used to test different storage policies and implement those that best fit the warehouse.
8:00 - 9:00
Registration and Setup
Room: Ballroom 3&4
9:00 - 9:30
Keynote Address
• H.E. Sarah Al Amiri, Minister of State for Public Education and Advanced Technology and Chair of the Board of Directors of the Emirates Schools Establishment
Room: Ballroom 3&4
9:30 - 9:50
Keynote Address
• H.E. Faisal Al Bannai, Secretary General, Advanced Technology Research Council (ATRC)
Room: Ballroom 3&4
9:50 - 10:10
Keynote Address
• H.E. Dr. Mohammed Al Mualla, Undersecretary for Academic Affairs at Ministry of Education
Room: Ballroom 3&4
10:10 - 10:30
Keynote Address
• H.E. Badr Al-Olama, Executive Director, Mubadala
Room: Ballroom 3&4
10:45 - 11:00
Coffee Break - Morning
Room: Ballroom 3&4
11:00 - 12:30
EPS-D2-S1: Aerospace Engineering Engineering, Information Technology & Physical Sciences
Room 2
Chairs: Noora Mohamed Alahmed (Khalifa University, United Arab Emirates), Khaja Faisal Hussain (Khalifa Univrsity of Science and Technology, United Arab Emirates)
11:00 Fabrication and Deployable Behaviors of Carbon Fiber Reinforced Composite Structure Using Shape Memory Polymer
Khawlah Saeed Alabdouli, Kamran Khan and Sean Swei (Khalifa University, United Arab Emirates)
In aerospace applications, origami-inspired composite has been attractive due to the excellent packaging efficiency and the deployability benefits. Novel designs of origami-inspired materials have already been used in several aerospace applications, such as antennas, solar panels, and masts. However, due to the continuous development and improvement in the aerospace applications, a complex and more advanced materials are needed to fulfill the modern application requirements. In this study, a cubic origami-inspired composite structure is fabricated and folded to analyze the packaging efficiency and deployability based on the geometry and structure. This cubic design gives an excellent shrinkage ratio of the structure. The focus in this paper is on the enhancement of the folding regions during fabrication using shape memory polymer SMP. The result shows the successful performance of the SMP in folding the cubic origami-inspired composite structure and gives insight to additional studies in bonding and enhancement the fold regions.
Khaja Faisal Hussain (Khalifa Univrsity of Science and Technology, United Arab Emirates); Roberto Sabatini (Khalifa University of Science and Technology, United Arab Emirates);
Alessandro G. M. Gardi (Khalifa University, United Arab Emirates & RMIT University, Australia)
The space debris population has increased dramatically in the past decade. As space debris accumulates over time, they increase in number, mass, and area, posing a greater risk to the currently operational satellites. Typically, Resident Space Objects (RSO) are tracked and catalogued using ground-based observations. However, Space Based Space Surveillance (SBSS) is much more exciting due to its capability to offer greater performance in terms of detectability, accuracy and weather independence, enabling spaceborne measurements to provide a broad range of useful observations. A Distributed Satellite Systems (DSS) architecture is proposed for an SBSS mission equipped with star trackers to interact, cooperate, and communicate with each other to accomplish distributed RSO tracking. Navigation and tracking uncertainties are analyzed in representative conditions to support the optimal selection and processing of individual observations and to determine the actual confidence region around the detected objects.
Ruqayya Ahmed Alhammadi (Abu Dhabi & Khalifa University, United Arab Emirates)
Predicting the slip in space rovers is very important because it aids the localization and navigation, if the slip is unknown the actual location will be also unknown. In addition, slip is important for traction control of the wheel, and for traversibility prediction. In this work slip in space rovers will be predicted using Neuromorphic Vision Sensor NVS and a filter. The results from this method are promising the accuracy is ranging from 99.1% to 93%. In addition, this approach is suitable for space application because it can operate in low lighting conditions.
11:45 The Electromechanical Response Of Graphene Based Dry Fabrics
Noora Mohamed Alahmed, Kamran Khan and Rehan Umer (Khalifa University, United Arab Emirates); Wesley James Cantwell (Khalifa University of Science and Technology, United Arab Emirates)
This study aimed to investigate the electromechanical response of rGO-coated dry glass fiber fabrics when subjected to tensile load until failure. To conduct the experiments, unidirectional (UD), 200 gsm, and 400 gsm plain weave (PW) glass fibers were dip coated and thermally reduced to create conductive fabrics.
The results of the study indicated that both of the PW fabrics exhibited similar behavior in terms of their tensile performance and piezoresistivity, while the UD fabric displayed a relatively higher modulus compared to the other two fabrics. The findings of this research provide valuable insights into the electromechanical response of rGO-coated glass fiber fabrics under tensile loading conditions.
12:00 Influence of Rub-Impact on Post-Resonance Backward Whirl in Intact and Cracked Rotors
Rafath Abdul Nasar (Khalifa University, United Arab Emirates)
Many factors contribute to faults in rotor dynamical systems. Some of these factors include but are not limited to crack propagation, unbalance forces effect, rubbing impact, shaft's bowing, and shaft's static deflection. The nonsynchronous whirl which occurs in rotor systems in the vicinity of resonance speeds is expected to have a significant impact on rotor faults. The presence of rotor-stator rubbing in intact and cracked rotors is expected to significantly alter the nonsynchronous whirl which further complicates the dynamical behavior of the system during its transient operations. In cracked rotors, the postresonance backward whirl (Po-BW) has been proven to exist due to crack propagation and bearings anisotropy. Therefore, the influence of rotor-stator rub-impact on the nonsynchronous whirl behavior and, consequently, on Po-BW excitation in intact and cracked rotor systems is numerically studied here using a Jeffcott rotor model.
12:15 Piezo Resistive Response of Smart Deployable Composite Structure
Rajasekar Ramachandran and Kamran Khan (Khalifa University, United Arab Emirates)
This paper addresses the piezo resistive response of a smart composite structure fabricated by embedding a piezoresistive sensor. Composite structure made of a two stiffer regions and a foldable elastic region is subjected to folding and unfolding to study the loss in strain energy and change in resistance during the deployment.
11:00 - 12:30
EPS-D2-S1: Biomedical Engineering
Engineering, Information Technology & Physical Sciences
Room 3
Chairs: Jawaher Alhammadi (Khalifa University, United Arab Emirates), Feryal A Alskafi (Khalifa University, United Arab Emirates)
Feryal A Alskafi (Khalifa University, United Arab Emirates); Ahsan Khandoker (Khalifa University of Science, Technology and Research, United Arab Emirates); Herbert F Jelinek (Healthcare Engineering Innovation Center, Khalifa University & Charles Sturt University, United Arab Emirates)
Automated emotion recognition models classify inputs into predetermined classes using supervised machine learning techniques, frequently using arousal and valence data that already exist. However, because of the complexities, prejudices, and points of view present in emotion annotations, recognizing these labels is exceedingly difficult. In order to investigate this, our study examined the validity of emotion recognition using physiological signals gathered from wearable sensors when utilizing three perspectives of emotion annotations: the self, debate partner, and external observer. Results showed that partner-reported annotations had the best prediction performance with 85.4%, followed by self- and external-reported annotations with 83% and 72.6% accuracy, respectively. It was determined that while the indirect experiences of the external observers caused varied evaluation outcomes, the self’s shared experience with the partner caused the partner to reach a comparable assessment of the affective state based on the physiological signals analyzed.
11:15 Novel flexible and conductive composites based on carbon dots and PDMS for flexible electrode applications
Amaal A Ali, Mohammad Al-Sayah, Amani Al-Othman and Hasan Al-Nashash (American University of Sharjah, United Arab Emirates)
Flexible conductive materials are currently needed to replace the conventional metal implantable electrodes that although conductive are harsh for biological tissues. Polydimethylsiloxane (PDMS) is an attractive bioelectrode material due to its high flexibility. However, PDMS is non-conductive and should be doped with conductive fillers to be used as a bioelectrode. In this study, boronic acidmodified carbon dots (BA-CDs) are explored for the first time as conductive PDMS fillers to develop a PDMS-based electrode material. Electrodes composed of 25% BA-CDs, 16% glycerol (dispersant), and 59% PDMS were prepared and studied for their electrical properties and flexibility. The electrodes had a relatively high conductivity (6.93×10-4 S/cm) with a low bulk impedance (185 Ω). Furthermore, the electrode had a clear pliant nature indicating qualitatively their flexibility. Results reported here provide an encouraging foundation for future studies to use this composite for implantable electrode applications such as electrical stimulation of atrophying muscles.
11:30 Drug Modulated Dynamics of Macrophage Surface Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) Protein
Jawaher Alhammadi (Khalifa University, United Arab Emirates); Habiba Alsafar (Khalifa University of Science, Technology and Research, United Arab Emirates); Anna-Maria Pappa (Khalifa University, Abu Dhabi, UAE, United Arab Emirates); Herbert F Jelinek (Healthcare Engineering Innovation Center, Khalifa University & Charles Sturt University, United Arab Emirates)
One of the common genetic autosomal disorders, cystic fibrosis is caused by a genetic mutation in the chloride channel, cystic fibrosis transmembrane conductance regulator (CFTR). The existing treatments that specifically target the CFTR protein have demonstrated efficacy in symptom reduction in patients, extending their life expectancy. Rapid drug development necessitates drug testing, but because this procedure is costly and time-consuming, it limits the availability of CFTR targeting medications that are clinically approved. In order to evaluate the effectiveness of CFTR medications in vitro, this study focuses on developing a bioelectronic lab-on-chip assay that uses electrophysiological techniques.
11:45 A Memristor based on conducting polymers and 2D materials
Eman Mahmoud Aljawi (Khalifa University, United Arab Emirates); Heba Abu Nahla (Khalifa University of Science Technology and Research, United Arab Emirates); Dean Everett and Charalampos Pitsalidis (Khalifa University, United Arab Emirates); Anas AlAzzam (Khalifa University of Science and Technology, United Arab Emirates); Anna-Maria Pappa (Khalifa University, Abu Dhabi, UAE, United Arab Emirates)
Memristor is an electronic component that has a memory function. Memristors remember the last resistive state after a certain electric field being applied to it. Poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT: PSS) is a conducting polymer that has unique properties, such as flexibility and biocompatibility. This study aims to investigate the concept of using PEDOT: PSS material as the electrode part in a memristor setup comprising of reduced graphene oxide (rGO) as active material. The PEDOT: PSS/rGO/PEDOT: PSS memristor was fabricated using an optimized photolithography technique. The results obtained confirm that PEDOT: PSS can replace metal electrodes resulting in high performance memristors. This study provides a customized fabrication process and materials compatible for flexible substrates paving the way to various applications, such as neuromorphic and sensing.
12:00 Crucial Events Detection from ECG as a Cardiac Health Indicator using Modified Diffusion Entropy Analysis
Sara Nasrat (Khalifa University, United Arab Emirates); Ahsan Khandoker (Khalifa University of Science, Technology and Research, United Arab Emirates); Herbert F Jelinek (Healthcare Engineering Innovation Center, Khalifa University & Charles Sturt University, United Arab Emirates)
The significance of crucial events in explaining the dynamics of the physiological system has only been recently emerging and yet to be understood and implemented in real-life.
This paper investigates the complex dynamics of the ECG in terms of crucial event detection by applying the modified diffusion entropy analysis (MDEA) method that incorporates stripes. Thirty samples of each of three groups of ECG datasets from PhysioNet databases with recordings of cardiac arrhythmia (ARR), congestive heart failure (CHF), and normal sinus rhythm (NSR) were analyzed using MDEA with stripes. Healthy NSR ECGs showed an approximate 15% greater complexity in ECG dynamics at mean scaling and inverse power law μ indices of 0.75 and 2.3 than pathologic CHF and ARR signals. Additionally, the scaling indices for the pathologic groups showed higher standard deviations, indicating that crucial events reveal differences in ECG complexity and are useful as an indicator of pathologic severity.
12:15 The effect of lipid composition on low-frequency ultrasound release of Trastuzumab liposomes for breast cancer treatment
Nour AlSawaftah and Vinod Paul (American University of Sharjah, United Arab Emirates); Ghaleb Husseini (AUS, United Arab Emirates)
Liposomes are nano-sized artificial vesicles capable of providing site-specific delivery for a wide variety of drugs including chemotherapeutic agents. The surfaces of these nanocarriers can be decorated with receptor-specific ligands to enhance their selectivity and reduce the off-target effects associated with chemotherapy. In this study, we synthesized pegylated liposomes using four different phospholipids, with similar hydrophilic tails and different hydrophilic head groups. We then decorated their surfaces with the monoclonal antibody Trastuzumab (TRA). We studied the difference in cellular uptake of the tested liposomal formulations. We also investigated the effect of applying LFUS to stimulate drug release from the loaded liposomes in a controlled manner.
11:00 - 12:30
EPS-D2-S1: Chemical Engineering Engineering, Information Technology & Physical Sciences Room 4
Chairs: Seba Alareeqi (Khalifa University of Science and Technology, United Arab Emirates), Ahmad Darwish (Khalifa University, United Arab Emirates)
11:00 Reactive Molecular Dynamics Study of the Catalytic Upgrading of Palm Oil derived Oleic Acid: Insights into the Effect of the BEA Zeolite Support
Seba Alareeqi (Khalifa University of Science and Technology, United Arab Emirates); Daniel Bahamon (Khalifa University, United Arab Emirates); Kyriaki Polychronopoulou (Khalifa University of Science, Technology and Research, United Arab Emirates); Lourdes Vega (Khalifa University, United Arab Emirates)
The active-sites in the zeolite topology and microporous structure play a vital role in the reaction kinetics and pathways of bio-oils selective hydrodeoxygenation (HDO) towards the production of value-added chemicals and fuels. In this work, the upgrading of oleic acid has been explored using reactive molecular dynamics to study the role of the Brønsted-acid active-sites incorporated into BEA(001) and BEA(100) zeolite facets. Results reveal the molecular-level interactions governing the aggregation of oleic acid on the (001) and (100) facets and demonstrate the greater deCOx reactivity of (100) facet. Moreover, the g(r) plots signified the strong tendency of the hydroxyl and carbonyl functionalities towards deprotonating the H-BEA zeolite sites, yielding high-heating-value hydrocarbon fuels as potential sustainable fuels.
11:15 Molecular Insights into Potential Hydrophobic Deep Eutectic Solvents for Furfural Extraction Guided by COSMO-RS
Ahmad Darwish (Khalifa University, United Arab Emirates); Enas M. Nashef (Khalifa University, SAN Campus, United Arab Emirates); Fawzi Banat (Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates)
Furfural, a key platform chemical used to synthesize various important products, is industrially obtained by dehydration of hemicellulosic biomass. However, the conventional methods require the use of volatile organic compounds (VOCs), which are harmful to the environment and human health.
Hydrophobic deep eutectic solvents (HPDESs) have been proposed in the literature as a potentially ‘greener’ alternative. However, given their theoretically infinite chemical space, selecting a suitable HPDES with a high solvation capacity for furfural is challenging, especially since large-scale experiments are expensive and time-consuming. Therefore, in this study, we provided molecular insights by systematically identifying potential solvents by screening 108 HPDES constituents using the quantum chemical COSMO-RS method, thus saving time and resources.
Haleema Chulliyil, Iqra Hamdani, Srinivasa Chandrasekar and Ahmed Al Shoaibi (Khalifa University, United Arab Emirates)
Activated carbons are versatile adsorbents used in industries for various applications. The influence of the moisture on the performance of industrial adsorbents is complex as it depends on several parameters. Functional groups over the carbonaceous materials play a vital role on water adsorption, in particular the oxygen containing functional groups. In this study, a mesoporous activated carbon was exposed to nitric acid and sulphuric acid and the overall adsorption capacity was found to increase significantly due to a result of enhancement of oxygen-containing functional groups.
Shaimaa Awadh Barasheed and Lina Tizani (Khalifa University, United Arab Emirates); Ravi Pandey (Post Doc, United Arab Emirates); Dana Kadadou and Ahmed Yousef (Khalifa University of Science and Technology, United Arab Emirates); Habiba Alsafar (Khalifa University of Science, Technology and Research, United Arab Emirates); Shadi Wajih Hasan (Khalifa University of Science and Technology, United Arab Emirates)
In recent years, the use of antibiotics have increased due to the current disease outbreaks. Antibiotics serve as a cure to many infectious diseases. It is commonly consumed by humans, animals, and plants. Nevertheless, antibiotics residues found in wastewater, food, and human samples are of concern. Antibiotic resistance is a common issue that arises when antibiotics are improperly used, causing a change in bacterial response towards the drug. This threatens the public health and food safety. Hence, biosensors are used to detect antibiotic concentration using carbon- based nanomaterials. Integrating carbon-based nanomaterials in biosensors have been proven to enhance sensitivity and effectiveness.
Ghadeer Hegab Mohamed, James McElhinney and Ahmed Yusuf (Khalifa University, United Arab Emirates); Ayesha Al Marzooqi (Khalifa University of Science and Technology, United Arab Emirates); Giovanni Palmisano and Jorge Rodríguez R. (Khalifa University, United Arab Emirates)
Zinc Oxide (ZnO) has been widely used as a disinfectant in many applications due to its low cost, stability, and long-lasting effect. The aim of this project is to model water microbial disinfection in a fixed-bed reactor implementing ZnO-glass. This new family of biocide showed promising results against a wide spectrum of microbial cells making it possibly used for wastewater disinfection. ZnO glass powder was immobilized on borosilicate glass beads using a spray gun operating at less than 2 bar. Characterization techniques such as SEM and SEM-EDX were used to study the morphology of the surface of the glass beads. Viable and non-viable cells were tracked using a flow cytometer. Then, a kinetic model was developed for both viable and non-viable cells. Outlook on this project will be directed towards improving the functionalization method to obtain highly stable films on the beads, and leaching can be eliminated.
Ali Mohamed Almaazmi (Khalifa University, United Arab Emirates)
The search for CO2RR catalysts comes from our drive toward providing environmental solutions to CO2. Experimentally, this is a challenging, complex, and costly endeavor. Machine learning holds the key. In this study, machine learning models were used on a dataset containing CO2 reduction reaction (CO2RR) catalysts to analyze their properties, investigate possible correlations between the catalyst’s properties and desired output (adsorption energy), predict their *CO adsorption energies and compare them with the actual values.
11:00 - 12:30
EPS-D2-S1: Computer & Information Sciences
Engineering, Information Technology & Physical Sciences Room 5
Chairs: Maryam Saeed Alhefeiti (Abu Dhabi University, United Arab Emirates), Mariam Alzaabi (Khalifa University, United Arab Emirates)
Abiel Fissehatsion (Khalifa University, United Arab Emirates)
Autonomous driving is expected to have a major impact on the automotive industry, hence there is a lot of research being done in this area. Autonomous vehicle must be equipped with efficient and safe planning module that extracts safe policies at all circumstances. Collision avoidance has been one of the complicated tasks in autonomous deriving. Most traditional methods either use optimization techniques or model-based solvers, where it is either not feasible in real time or requires full model of the environment to generate policy. Model free deep reinforcement learning (DRL) however, introduces ways to solve the above-mentioned challenges. This thesis proposes chance constrained deep reinforcement learning for autonomous vehicle planner which can perform safe driving task in simulated environment. The problem is formulated as chance constrained Markov decision process (CC-MDP) where the constraint is to bound the probability of being in risky state by some threshold.
Mariam Alzaabi, Fakhreddine Zayer, Naoufel Werghi and Jorge Dias (Khalifa University, United Arab Emirates)
This paper presents the UW-Cycle-SNSPGAN, a GAN-based image dehazing method for improving visibility in underwater imagery. Underwater images are difficult to capture due to light absorption and scattering in the water medium, causing low visibility, haze, and reduced accuracy in vision-based navigation and localization systems for the underwater environment. Marine exploration can be accelerated by using machine learning to dehaze images in real-time, enabling rapid analysis of underwater conditions for autonomous navigation. Our results demonstrate that the fine-tuned UWCycle-SNSPGAN technique is a promising approach for dehazing underwater images. However, a more robust and generalized model can be obtained by increasing training epochs and performing hyperparameter optimization.
Maryam Alsereidi (Khalifa University, United Arab Emirates)
With the rapid increase in today’s IoT devices variety, availability, and usage securing the network is crucial. Intrusion Detection Systems (IDS) are considered the next line of defense when it comes to security. Researches advances in the detection of various and new attacks are necessary. There are few publicly available data sets that simulates reality that are used to allow advancement in the detection of intrusion and attacks. We aim to propose a lightweight hierarchical IDS for IoT.
Maryam Saeed Alhefeiti and Heba Ismail (Abu Dhabi University, United Arab Emirates)
Recommender systems are commonly used to personalize content based on several inputs elicited from users, including behavioral data. Therefore, there is an increased interest in using social media behavioral data to learn about people’s personalities. Hence, this study aims to propose the best academic major recommendations based on personality traits determined by users’ Instagram content. Users’ profile metrics and the liked images features were selected. Based on Big Five personality traits, Extraversion positively correlated with most features. Different machine-learning classification techniques were applied for personality prediction purposes. The Gaussian Naive Bayes showed the highest accuracy results across all features. Then, the stereotype job recommendations system was built based on the accuracy scores, and the outcomes were compared to the jobs questionnaire done by the respondents and showed good matching. The results of this study help fresh graduates by guiding them toward choosing a field that complements their personality.
Adnan Shahriar Mahbub, Osama Mustafa El shareef and Muhammad Abdullah Khan (Abu Dhabi University, United Arab Emirates); Abdelfattah Sayed (Sayed, United Arab Emirates)
This research project aims at designing and implementing an interactive, user-friendly, and smart application utilizing augmented reality (AR) and voice detection to help students learn to program. The purpose of this project is to incorporate AR tools and technologies to enable the visualization of abstract coding concepts to optimize learning efficiency. It is complimented with speech recognition for those unable to code using conventional input devices. The system features will integrate an intelligent and suggestive Integrated Development Environment (IDE) addressing basic to advanced concepts of Object-Oriented Programming (OOP) and data structures with real time performance feedback. By implementing this system, we can enhance current coding learning methods with a more dynamic and interactive approach compared to similar existing applications.
Basit Olakunle Alawode, Naoufel Werghi, Jorge Dias and Sajid Javed (Khalifa University, United Arab Emirates)
In this work, we benchmark 15 recent state-of-the-art object trackers on two publicly available underwater datasets-our recently proposed UTB180 and the UOT100 datasets. We show by comparing both datasets that our dataset presents a more challenging underwater tracking scenario. We further show that trackers find underwater tracking generally challenging, thereby, exposing new frontiers of research in visual object tracking. Our dataset is available on Kaggle.
11:00 - 12:30
EPS-D2-S1: Electrical & Electronic Engineering Engineering, Information Technology & Physical Sciences
Room 1
Chairs: Enas Abulibdeh (Khalifa University of Science and Technology (KU), United Arab Emirates), Armaghan Arshad (Electrical and Computer Engineering, Khalifa University, UAE, United Arab Emirates) ; Mahmoud Al-Qutayri (Khalifa University, United Arab Emirates)
11:00 ASIC-Based CROPUF
Enas Abulibdeh (Khalifa University of Science and Technology (KU), United Arab Emirates); Hani Saleh and Baker Mohammad (Khalifa University, United Arab Emirates)
Physical Unclonable Function (PUF) introduces unique and unpredictable device signatures utilizing the physical characteristics of underlying systems. Silicon PUFs exploit the process variation and mismatch of semiconductors to extract secure keys for low-cost authentication and digital signatures. This work proposes a scalable ASIC-based design of a Configurable Ring Oscillator PUF that exploits the variation of the propagation delay of the basic logic gates, where the source of variation is the type of logic gate, the rising or falling delay per gate, and the state of the inputs at a given time. The scalability of the design is achieved by introducing a standard delay stage. The proposed design is evaluated by two architectures: 32-bit challenge and 32-bit response, and 128-bit challenge and 128-bit response. Both architectures satisfy the PUF evaluation metrics of uniformity, diffuseness, reliability, and uniqueness.
11:15 Power Management Tool for Lunar Rover using the estimation of Battery State of Charge
Armaghan Arshad (Electrical and Computer Engineering, Khalifa University, UAE, United Arab Emirates); Baker Mohammad and Sean Swei (Khalifa University, United Arab Emirates)
Lunar Rover vehicle power is an essential part of achieving mission goals. Both power generation and power consumptions need to be considered when carrying out the mission tasks. Different tasks require different power levels, which can be organized to achieve mission goals. Power management has been critical in Rover vehicles applications in meeting mission goals. The battery must be carefully monitored so that the battery SoC can be accurately determined using the battery model followed by a Kalman filter. A Kalman filter yields state estimates, which are then used to predict the future behaviour of the batteries and, specifically, SoC while operating the different scenarios made up of mode of operation to achieve the missions’ goal.
11:30 Configurable Memory (SRAM/BCAM/TCAM) using 6T Standard Cell and Array
Eman Hassan and Baker Mohammad (Khalifa University, United Arab Emirates)
This paper presents a new type of memory that combines the features of SRAM, BCAM, and TCAM, using standard 6T SRAM cells to reduce the array size compared to traditional 10T/16T BCAM/TCAM designs. This new memory also has the ability to perform XNOR logical operations on stored words, which can improve the efficiency and speed of search operations by reducing the need for certain computations. The proposed design also has the potential to reduce chip size and overall power costs, resulting in higher energy efficiency.
11:45 Gradient estimation for ultra low precision vanilla and additive power-of-two projections
Huruy T Tesfai and Hani Saleh (Khalifa University, United Arab Emirates)
Deep learning networks achieve high accuracy for many classification tasks in computer vision and natural language processing. As these models are usually over-parameterized, the computation and memory required are unsuitable for power constrained devices. One effective technique to address this cost is low-bit quantization. However, the quantization error introduced causes a drop in the model’s classification accuracy and requires design rethinking. To benefit from the hardware-friendly vanilla power-of-two (POT) and additive POT quantization, we explore various gradient estimation methods and propose quantization error-aware gradient estimation that maneuvers weight update to be as close to the projection steps as possible. To minimize quantization error, the clipping or scaling coefficients of the quantization scheme are learned jointly with the model parameters. We show the vanilla POT quantization can achieve comparable accuracy with our gradient estimation even at ultra-low bit precision
12:00 SRAM-based CAM design for RISC-V implementation
K M Shadid Hassan (Khalifa University, United Arab Emirates)
The Reduced Instruction Set Computer (RISC-V) Instruction Set Architecture (ISA) has seen widespread adoption in recent times for the design of microprocessors. The background section highlights the need for an efficient and high-speed memory design for RISC-V architectures as the critical timing paths are from the memory. The Translation Lookaside Buffer (TLB) plays an important role in improving the timing performance by facilitating faster address translation. This paper proposes a reconfigurable SRAM-based Content-addressable Memory (CAM) design for TLBs in RISC-V architectures and discusses the advantages that it offers in terms of timing, area, and power.
12:15 A mixed-signal SNN accelerator using an STT memory crossbar and thermometer encoding Vasilis Sakellariou and Hani Saleh (Khalifa University, United Arab Emirates); Thanos Stouraitis (Khalifa University, United Arab Emirates & University of Patras, Greece); Baker Mohammad (Khalifa University, United Arab Emirates)
In this work, an STT-based In-Memory Computing (IMC) accelerator for Spiking Neural Networks (SNN) that utilizes a crossbar architecture is developed. We propose a modified STT cell composing of two MTJ devices and two activation transistors to realize the binary multiplication required for SNN operation. Accumulation of synaptic weights for all active synapses of a neuron is performed in an analog manner, by measuring the total resistance of a column. This technique overcomes the problem of the small resistance of MTJ devices, which leads to large currents and increased power consumption. A thermometer encoding is proposed to mitigate accuracy loss due to noise caused by the inherent resistance variations of the individual cells. Simulation results show that the proposed design can serve as a low-power accelerator for SNN implementation, with small accuracy loss, if a sufficient number of bits is used for encoding synaptic weights.
11:00 - 12:30
EPS-D2-S1: Materials Science & Engineering
Engineering, Information Technology & Physical Sciences
Room 6
Chairs: Latifa Ibrahim Al-Ali (Khalifa University of Science, United Arab Emirates), Ayesha Alkhoori (Khalifa University, United Arab Emirates)
11:00 CO2 Hydrogenation over Ni-Supported Pr-doped CeO2/Al2O3 Catalysts
Ayesha Alkhoori (Khalifa University, United Arab Emirates); Omer Elfaki (Center for Catalysis and Separation, United Arab Emirates); Aasif Dabbawala (Khalifa University, United Arab Emirates); Kyriaki Polychronopoulou (Khalifa University of Science and Technology, United Arab Emirates)
A Ni/Pr-CeO2 catalyst was prepared via wet impregnation. The activity of the obtained catalyst reaches the highest level towards CO2 methanation with a CO2 conversion of 74% and methane selectivity above 99% at a reaction temperature of 350°C. Characterization results indicate that praseodymium doping into ceria created oxygen vacancies which facilitated the CO2 conversion by activating the molecules as they adsorb on the catalyst’s surface. The unique interfacial structure and highly dispersed nickel particles on the ceria surface, exposing more metallic Ni as active sites for splitting hydrogen. Thus, significantly improving the catalytic activity at low temperature.
11:15 Mechanical and piezoresistive self-sensing behavior of MWCNTs/UHMWPE nanocomposites processed via selective laser sintering(SLS)
Muhammad Umar Azam and Andreas Schiffer (Khalifa University of Science and Technology, United Arab Emirates)
In this study, Ultra-high molecular weight polyethylene (UHMWPE) based nanocomposites reinforced with different concentrations of multi-walled carbon nanotubes (MWCNTs) were synthesized by using SLS. Initially, printing parameters of SLS were optimized to successfully print the neat UHMWPE and MWCNT/UHMWPE composite samples. The 3D printed samples were examined for their mechanical and piezoresistive properties. The nanocomposite samples showed improvement in mechanical properties as compared to neat samples. In terms of piezoresistivity, the sample with lowest concentration of MWCNTs showed highest gauge factor/ sensitivity. Moreover, 3D printed MWCNT/ UHMWPE 2D lattice structures were able to maintain a reliable and stable strain sensing functionality over 100 repeated load cycles under tension. Hence, these 3D printed multifunctional UHMWPE-based nanocomposites possess favorable properties for the development of self-sensing orthopedic implants.
11:30 Transition metal phosphides (TMP) as a versatile class of catalysts for the hydrodeoxygenation reaction(HDO) of oil-derived compounds
Latifa Ibrahim Al-Ali (Khalifa University of Science, United Arab Emirates) This work will focus on the transition metal phosphide (TMP) type rather than the pure metals due to the superior effectiveness and cost-efficient of TMP so Binary Ni2P TMP is addressed. The review paper looked at the several varieties of TMPs, as well as their structure, electrical, bonding, and morphological characteristics, as determined by various methodologies and technologies. Derivate models of lignin phenolic “phenol, cresol...etc.,” vegetable oils, and cellulose and semi-cellulose furan “valerolactone, levulinic acid...etc.” are described. TMP catalysts hydrodeoxygenate these compounds to explore the reaction mechanism. Furthermore, active sites on TMP must fundamentally be discovered in order to have an effective HDO with low energy usage. As a result, the paper addressed this issue, and the research will identify it by density functional theory (DFT) using Quantum espresso (QE) software. HDO may be deactivated owing to several factors that must be considered, as well as future challenges.
11:45 Evaluation of High-Temperature Oxidation Behavior of ATF Claddings During Severe Accidents in Nuclear Power Plants
Fatima I. AlHamadi and Boohyun An (Khalifa University, United Arab Emirates); Yongsun Yi (Al Zafranah, United Arab Emirates); Daniel Choi (Khalifa University of Science and Technology, United Arab Emirates) This project aims to evaluate the oxidation behavior and kinetics of ADSS B#51 in high-temperature air and to investigate the effect of the temperature ramping rate on the oxidation kinetics of the alloy. Using a thermo-gravimetric analyzer (TGA), high-temperature oxidation tests were performed isothermally in air at 1000ᵒC, 1150ᵒC, and 1300ᵒC and for T-ramping tests at 1ᵒC/min, 4ᵒC/min, 40ᵒC/min. After which the surface characterization explored the morphology and compositions of surface oxides using SEM-EDS (Scanning Electron Microscopy - Energy Dispersive Spectroscopy). The results showed the oxidation rates of the alloy during T-ramping were higher than those estimated by iso-thermal test results, and the surface oxide characterization using SEM-EDS analysis demonstrated complicated surface oxide and unclear patterns of their surface oxide and oxide compositions.
12:00 DFT based Python encoded alloy engineering of 2D monolayer Ruddlesden-Popper A2Pb1xGexI4 perovskites (GGA+SOC level study)
Mehreen Javed (United Arab Emirates University, United Arab Emirates)
A systematic DFT investigation of 2D Ruddlesden-Popper (RP) perovskites (R-NH3)2An-1BnX3n+1 was performed to study the structural and electronic properties of pure and mixed (R-NH3)2Pb1-xGexI4 systems1. The effect of organic spacer cations, Phenylethyl-C6H5(CH2)2 and Methyl-(CH3) with varied concentrations of inorganic cations (x=0.0, 0.25, 0.50, 0.75, 1.0) result in 32-permutations. Short-range ordered configuration with Pb0.50Ge0.50 categorized into Column and Battenberg forms. Competing effects of octahedral tilting and lattice distortion with bandgap bowing and spin-orbit coupling, across Pb-Ge compositional systems tune electronic characteristics to achieve desired bandgaps and band positions through the spacer and inorganic cation engineering. Our findings expose the scope of monolayer-based systems as an ideal choice of absorber for the bottom sub-cell in all-perovskites 2D-3D tandem solar cell, harvesting light from visible (2.4 eV) up to infrared (1.2 eV) in the solar spectrum with features of defect tolerance, quantum and dielectric confinement, low bandgap, low effective masses, and high mobility.
11:00 - 12:30
EPS-D2-S1: Mechanical & Nuclear Engineering Engineering, Information Technology & Physical Sciences
Room 7
Chairs: Fatema A Al Mazrouei (Khalifa University, United Arab Emirates), Muhammed Hisham (Khalifa University, United Arab Emirates)
Muhammed Hisham and Haider Butt (Khalifa University, United Arab Emirates)
Multimaterial 3D printing is a novel technology with exciting potential. This study explores the use of vat photopolymerization-based 3D printing to build multimaterial hydrogel disks and lenses with increased multiband optical filtering. Such hydrogel devices can be useful for treating ocular diseases including color blindness. The printed multimaterial disks were examined for their optical characteristics and swelling behavior. The optical qualities of the contact lenses were found to be unaffected by the multimaterial printing technique. Due to two dyes that were utilized, the printed multimaterial hydrogels provided a combined multi-band color blindness correction. The obtained optical spectrum closely matched the color blindness correcting glasses that are readily available on the market.
Ameer Hamza (Khalifa University, United Arab Emirates); Aikifa Raza (Khalifa University of Science and Technology, Abu Dhabi, UAE, United Arab Emirates); Tiejun Zhang (Khalifa University, United Arab Emirates)
Supercritical carbon dioxide (sCO2) power cycles have attracted increased demand worldwide as potential candidates for future power generation systems owing to their higher efficiency. The anticipated efficiency of sCO2 power cycles demands novel heat exchanger designs capable of operating at high temperature and pressure. Ceramic heat exchangers fabricated by additive manufacturing deem to exhibit design flexibility and quick prototyping in addition to high thermal and hydraulic characteristics. In this work, we design and fabricate alumina-based ceramic heat exchangers using Projection Micro Stereolithography (PµSL) technology. A gyroid heat exchanger was fabricated using the ceramics (alumina) material and CFX simulations were carried out to explore its thermal and hydraulic performance. The novel 3D printing technique presents opportunities to design and fabricate ceramic heat exchangers with complex features. Additive manufacturability of the complex features of heat exchanger using ceramics presents the opportunities to realize the design of high-performance ceramic based heat exchanger.
Mohammed A Abdulqader, Ahmed Abdalla and Mohammed Redha Qader (University of Bahrain, Bahrain)
The low intensity of the solar module which required larger lands as well as the degradation due to increase of the cell temperature is being challenges for these countries where the available land is limited and have hot climate like Bahrain. In this study, analytical approaches were employed to assess the viability of the FPVs (Floating PV system) in comparison to the OLPVS (Overland PV system) in terms of an increase in energy generation under the climatic conditions of Bahrain. The result show that under all of the FPVS configuration is performing better than the OLPVs. While the 0o-FPVs can generate up to 10% higher energy comparing to 0o OLPVs and 4% compared to the 26o OLPVs.
Salim Humaid Aalkhlaifin III (Sultan Qaboos University, Oman)
Nowadays, the small size of electronic components causes an increase in the heat flux that is dissipated at their surfaces, consequently, efficient cooling systems are required to improve reliability, prevent premature failure as well as keep components within permissible operating temperature limits. This study is aimed at investigating a passive cooling technique using the phase change material (PCM) type (RT35HC) to absorb the generated heat at the CPU of a personal computer and keep its surface temperature within an acceptable range. To do so, a set of 20 experiments were conducted where four different amounts of the PCM (20, 40, 60, and 80g) were subjected to five levels of dissipated heat (10, 20, 30, 40, and 50W). The results showed using RT35HC regardless of its amount enhanced the thermal performance of the CPU and provided a longer operating period while keeping the CPU surface temperate constant for low levels of dissipated heat (10-20W). On the other hand, increasing the PCM amount could help provide a better thermal performance of the CPU that dissipated a higher amount of heat (30-50W) compared to thermal performance without the PCM. The optimum amount of the PCM that can be used for passive cooling was found to be 60g.
Fatema A Al Mazrouei (Khalifa University, United Arab Emirates)
Numerous atmospheric dispersion computational software based on either Gaussian plume or regional Lagrangian models have been developed to assess accidental radionuclides release scenarios. However, their predictive accuracy can be limited, especially in the near-field region, as the associated physics of these pollutants’ dispersion may not be adequately captured since these approaches are either only partially accounting for the nuclear plant’s buildings or completely ignoring its effects. In addition, key UAE environment characteristics need to be accounted for, including the arid ground surface topology and the atmospheric boundary layer stability regime. To address these shortcomings, the present study aims to use the computational fluid dynamics (CFD) modeling methodology to accurately account for such conditions and assess their influence on dispersion of the radionuclides from the nuclear power plant to the environment.
Khadije El Kadi (Khalifa University of Science and Technology, United Arab Emirates); Mohamed
Ibrahim Ali and Isam Janajreh (Khalifa University, United Arab Emirates)
Owed to its promising permeate flux production, direct contact membrane distillation (DCMD) has been promoted as competitive substitute for conventional separation technologies. In DCMD, water vapor transports through the porous membrane from the feed side to the permeate side due to temperature gradient. This mass transport phenomenon is typically explained by the Kinetic Theory of Gases which includes Knudsen diffusion, molecular diffusion, Poiseuille flow, and/or their combinations. Yet, a wide discrepancy between the available combination models is observed. This is due to the marginalized impact of operating conditions, e.g., inlet feed and permeate velocities, and fabricated membrane properties. In this work, a unique combination model is proposed to predict permeate flux of DCMD considering different inlet conditions. Assessments are performed utilizing a computational fluid dynamics (CFD) model. At various operating conditions, the proposed model have illustrated a perfect agreement with experimental data with relative error of less than 0.1.
11:00 - 12:30
EPS-D2-S1: Other topics in Clinical, Pre-Clinical & Health
Clinical, Pre-Clinical, Health & Life Sciences
Room 8
Chairs: Wafa Y Abushar (Khalifa University, United Arab Emirates), Reem Mohammed Alyammahi (United Arab Emirates University, United Arab Emirates)
11:00 HIV-1 Tat and HTLV-1 Tax can transactivate the novel 5’ cis-acting element in MMTV
Thanumol Abdul Khader (United Arab Emirates University, United Arab Emirates)
The mouse mammary tumor virus (MMTV), like other retroviruses must export its full-length genomic RNA (gRNA) to the cytoplasm without getting spliced. The virally encoded Rem signal peptide interacts with a 3’ cis-acting RNA element, the Rem-responsive element (RmRE), to facilitate the nucleocytoplasmic transport of the gRNA. We have recently identified another cis-acting element at the 5’ end of the MMTV genome that facilitates the transcription, stability, and elongation of the gRNA. However, whether this element is Rem-responsive or has any functional interaction with the 3’RmRE to facilitate MMTV gene expression is unclear. Quantitative real-time RT-PCRs on the Actinomycin D-treated cells revealed a significant reduction in the expression of MMTV gRNA in all the mutants tested. Luciferase-based reporter assays on WT 5’ element or mutants revealed that the element is responsive to HIV-1 Tat and HTLV-1 Tax and that MMTV encodes a virally encoded factor that transactivates this region.
11:15 The man who lost the taste of life after losing his life partner: A case study in the UAE
Reem Mohammed Alyammahi (United Arab Emirates University, United Arab Emirates)
The purpose of this study is to experience the practice of the role of psychotherapist and dealing with the client. This research study followed a qualitative approach within the framework of a case study with a semi-structured interview, observations and informal interviews with a person in accordance the professional ethics. This is a single psychotherapy case study that employs an existentialhumanistic approach to help a man who had lost his wife to cancer find the true meaning of life. The main objective of the therapy is to assist the depressed man free himself from self-imposed limitations and subsequently adopt a deeper understanding of his authentic life goals. The examination tools that were used to examine the patient included the Psychic Pain Scale, Psychotherapy, and Beck inventory to assess the nature and extent of depression.
11:30 We do not want you: A case of a woman suffering from schizophrenia in the UAE
Farah Fouzi Al Mohammed (United Arab Emirates University, United Arab Emirates); Maria Susana Campo-Redondo, Miss (United Arab Emirates University UAEU & None, United Arab Emirates)
The purpose of this study is to explore the impact of schizophrenia on older adults, and to further analyze the non-pharmaceutical treatment and management options of schizophrenia. All ages are affected by schizophrenia, and plans for treating older people with schizophrenia must take into account how their age affects their illness’ progression as well as how they respond to antipsychotic medications and psychosocial therapies. Acceptance and commitment therapy has been proven to be effective in reducing the stress caused by delusions and hallucinations.
Wafa Y Abushar (Khalifa University, United Arab Emirates); Atika Ahmad and David Sheehan (Khalifa University Abu Dhabi, United Arab Emirates)
We have discovered that baker’s yeast, Saccharomyces Cerevisiae is able to produce nanoparticles with significant small average diameter (below 20 nm) and highly uniform particle size distribution compared to chemical synthesis technique. It is a known fact that metal-based nanoparticles such as silver, gold and copper possess superior antibacterial activity with pathogenic bacteria in nosocomial infections. Thus, nanoparticles produced using this approach could have a positive impact on enhancing the antibiotic characteristics. As meanwhile, antibacterial resistance is emerging globally, owing to the misuse of antibiotics, and the lack of new antibiotic types. Because they have evolved resistance to practically all types of existing medicines, some bacterial strains are currently untreatable. As a result, researchers are now considering nanoparticles as potential therapeutic agents. Metal nanoparticles produced using the baker’s yeast will be of a higher class, according to the physical properties it possesses, which will reflect on its antibiotic characteristic.
Rama Darwich, Ensanya Abou Neel and Manal Awad (University of Sharjah, United Arab Emirates) Intra-oral contamination following try-in requires cleaning of the restoration before cementation. Clinicians use different decontamination methods that might adversely affect the properties of the restorations. Rectangular beams of monolithic and multilayered zirconia were prepared, sandblasted, contaminated with saliva for 1min and decontaminated with different methods. Different decontamination methods introduced irregularities and deep surface flaws for both zirconia types. Only hydrofluoric acid and low speed bur significantly increased surface roughness of monolithic zirconia. All decontamination methods significantly increased surface roughness of multilayered zirconia except high speed bur. All decontamination methods did not affect flexural strength of monolithic zirconia except phosphoric acid and low speed bur. Whereas, all decontamination methods significantly increased flexural strength of multilayered zirconia (P<0.001) except phosphoric acid and Al2O3. However, flexural modulus of both materials did not show any significant change following all decontamination methods. Multilayered zirconia showed significantly lower surface roughness and fracture resistance than monolithic zirconia.
Safa Al Amrani (Sultan Qaboos University, Oman) Isocitrate dehydrogenase 1 (IDH1) mutations around found in 15-20% of acute myeloid leukemia (AML). These are targetable mutations. In this study, we assessed the utility of IDH1 mutations minimal residual disease using proteomics approach.
11:00 - 11:45
Poster-D2-S1-A: Poster Session - 1A
All Tracks
Room: Ballroom 3&4
Chairs: Aisha Alqassab (Khalifa University, United Arab Emirates), Rawan Derbas (Khalifa University, United Arab Emirates), Yusuf Olatunji Ibrahim (Khalifa University, United Arab Emirates)
Fatema Hisham Khamis, Hanaa Hegab, Salem Alshehhi, Sultan Alwahedi and Hassan Arafat (Khalifa University, United Arab Emirates); Fawzi Banat (Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates); Shadi Wajih Hasan (Khalifa University of Science and Technology, United Arab Emirates)
This study presents the synthesis of a novel modified activated carbon (MAC) nanohybrid and its incorporation into polylactic acid (PLA) ultrafiltration (UF) membranes for wastewater treatment applications. The nanohybrid was prepared through three consecutive steps, activated carbon (AC) pretreatment, AC modification, and eventually in-situ polymerization of AC to form MAC. The composite membranes were prepared via the phase inversion technique and optimized by varying the concentration of the MAC nanohybrid. The material and membrane were characterized through FTIR, Raman, XRD, and SEM/EDX. Static adsorption and dynamic filtration were performed as well to investigate the flux-rejection performance and the pH-responsiveness of the membranes. The results showed that the heavy metal ions rejection improved from 18.15, 17.31, and 17.50% for Cu2+, Pb2+, Ni2+ ions at pH 4, to 99.95, 100, and 99.95% at pH 10 for 3MAC-PLA, respectively. Also, the composite membranes revealed improved adsorption (pH 10) and desorption (pH 4) behavior.
The Architecture of The South-Western Sector of The Dibba Zone at Jebal AlQamar (UAE)
Omar Abdulrahman Aldhanhani (Khalifa University for Science and Technology, United Arab Emirates); Alessandro Decarlis (Khalifa University, United Arab Emirates); Hemin Koyi (Khalifa University for Science and Technology, United Arab Emirates)
Jebal AlQamar is an exotic block of limestone, located in NE of UAE within the Dibba zone, that reveals complicated structural setting. This project uses GIS data and field structural data to study the nature of geological contacts in the study area. Preliminary results of this study show that the tectonic setting of Jebal AlQamar is not compatible with that suggested by previous researchers. Our data show that both Jebal AlQamar limestone blocks overthrust a harzburgite unit and being together overthrusted by meta-sediment of Masafi metamorphic sole.. Further work is in progress to investigate the other contacts and build a structural framework.
Design of Novel Natural Hydrophobic Deep Eutectic Solvents for Extraction of Perfluoroalkyl Acids using COSMO-RS
Sana Eid and Ahmad Darwish (Khalifa University, United Arab Emirates); Inas Alnashef and Shadi Wajih Hasan (Khalifa University of Science and Technology, United Arab Emirates)
The release of poly- and perfluoroalkyl acids (PFAAs) such as perfluorooctanoic acid (PFOA) and perfluorooctanesulfonic acid (PFOS) into the environment, particularly in industrial wastewater, has caused growing concern due to their toxicity, ecological persistence, and ability to bioaccumulate. Various physical and chemical treatment methods, such as adsorption and membrane processes, have been tested to remove them from water. LLE using volatile organic compounds poses a risk to human health and the environment. Replacing them with “green solvents” such as hydrophobic deep eutectic solvents (HDESs) may offer a more sustainable solution for removing PFAAs from water. In this study, we provided molecular insights on 129 selected HDESs constituents using COSMO-RS, thus saving time and resources. The top 5 HDES constituents are trioctylphosphineoxide (TOPO), 1,8-cineole, 2-methylbenzothiazole, fenchone, and menthyl acetate, suggesting that cyclic structures with oxygen-based functional groups such as ethers or esters are excellent for the extraction of PFOA/ PFOS from wastewater.
Towards intelligent supply chain systems - A quest to simplify backorder prediction models
Abdulrahim H Ali (Khalifa University, United Arab Emirates); Raja Jayaraman (Khalifa University of Science and Technology, United Arab Emirates)
When backorder occurs, customers can wait for a certain period for the product to be available, but a longer waiting time can affect customer satisfaction and loyalty. To avoid backorders while not incurring storage costs by overstocking each component, companies need a mechanism to predict product backorders. Machine learning (ML) algorithms are showing promising results. However, the number of predictors used is quite high leading to complex models and high computational costs. This study developed two sets of models, one with 22 variables, and the other using only 5 highly ranked variables. Results showed a huge improvement of between 30% to 98% in computational cost while observing a very minimal loss of both accuracy and f1-score of between 0.6% to 4.2% only. This result highlights the possibilities of having less complex backorder prediction models which in turn will ease the collection of data and computational cost.
Using System Dynamics Modelling for Emissions Mitigation for Low-carbon Power Generation Policy: the Case of UAE
Shahad Ahmed Alhosani (Khalifa University of Science and Technology, United Arab Emirates); Toufic Mezher (Khalifa University, United Arab Emirates)
The built environment is arguably the biggest energy consumer globally, which results in the massive amount of CO2 emission emitted annually. Especially, existing building stocks due to the envelop inefficiency that leads to the need for higher energy intensity for operations. Therefore, introducing some effective building retrofitting technologies and energy mitigation measures can result in lowering energy consumption and enhancing energy efficiency. The UAE consider the highest in the world in consumption per capita. This study will focus on the emirate of Abu Dhabi residential buildings, being the largest economy among other emirates. What is the best energy efficiency strategy to propose for an existing building in UAE? This study will answer this question by utilizing system dynamic molding to test multiple combinations of energy mitigation policies that result in obtaining the optimal energy, CO2, and cost savings scenario.
Aeroelastic tailoring of a composite cantilever plate
Bara’ah I. Fraihat and Rafic Ajaj (Khalifa University, United Arab Emirates)
In this paper, a graphite/epoxy cantilever flat plate is analysed to find the best combination of multiple design parameters (includes ply orientation, sweep angle, and tip mass)in which aeroelastic instabilities are at their maximum. Nastran is coupled with Matlab to conduct the study efficiently. Two cases are considered in the study; in the first case, the ply orientation is the only design variable; this case is beneficial for divergence, especially in the negative range of the ply angle. For the second case, all the design variables are used, and it is found that backward sweep, when applying a tip mass at the leading edge, significantly affects divergence, while forward sweep improves the flutter speed.
Abubaker Sayed Omer and Tiejun Zhang (Khalifa University, United Arab Emirates)
Atmospheric water harvesting (AWH) is recognized as a promising solution to freshwater production. Recent studies have indicated that bio-mimicked surfaces with amphiphilic characteristics are capable of enhancing AWH. This work aims to produce amphiphilic surfaces through surface modification by using a facile polymeric coating method. By manipulating the acrylic monomers composition and solution concentration, we have successfully achieved discontinuous film coating on commercially available polymeric radiative cooling sheet (RCS). In this study, the RCS facilitates passive condensation of water on the surface owing to its lower surface temperature achieved by appreciable thermal emission from the RCS to the atmosphere. Our results show that under continuous sub-cooling, the amphiphilic RCS can harvest water at almost triple the rate of the bare RCS. This effective acquisition of water from the atmosphere offers a potential sustainable solution of water-energy-food nexus.
Ismail Shittu (Khalifah University, United Arab Emirates); Ibrahim (Abe) M. Elfadel (Khalifa University);
Mohamed A Abou-Khousa (Khalifa University of Science and Technology, United Arab Emirates)
The capacity to synthesize microstrip structures to a predetermined performance is crucial for realizing them for a variety of applications. There have been several reports of metamaterial structures that geometrically take the shape of a square loop or a square loop with modifications. For modeling the performance of square-loop structures on a grounded substrate in terms of their equivalent circuit, precise closed-form formulas have been established. However, the application of the synthesis process has lagged. The limitations of existing synthesis techniques prevent their widespread application. In this study, an easier iterative approach for the synthesis of square-loop structures is presented. The suggested technique is grounded in fixed-point theory, guarantees convergence, and excludes the use of quartic polynomials or sophisticated optimization. Additionally, it employs the modified Nicolson-Ross-Weir (NRW) approach to estimate the effective dielectric constant of the square loop structure.
Amanuel Gidey Gebretatios (Khalifa University, United Arab Emirates); Cheng Kui (Khalifa University of Science and Technology, United Arab Emirates); Fawzi Banat (Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates)
A sustainable, cost-efficient, and high-purity silica was extracted from rice husk and template engineered into rice husk-derived high surface area ordered mesoporous silica (RH-MCM-41). MCM-41 was further functionalized by impregnating nickel (RH-MCM-41/Ni) and studied for low-pressure hydrogen storage. Nickel was uniformly dispersed on the surface of RH-MCM-41 and enhanced the interaction with hydrogen, thereby changing the adsorption mechanism and improving the hydrogen storage capacity.
Anas Mohammad Ghannam (Khalifa University, United Arab Emirates); Anas AlAzzam (Khalifa University of Science and Technology, United Arab Emirates); Eiyad Abu-Nada (Khalifa University, United Arab Emirates)
The trend of powerful chip technology is proliferating over the years and consequently high-power density chips are created. Failing to get rid of such highly concentrated heat overheats the devices causing a bottleneck in their performance and leading the them to fail. Existing technologies in electronic cooling suffer in getting rid of the heat due to their weak performance and overwhelming shortcomings. This paper addresses this substantial technological caveat in electronic cooling by surveying the literature for a novel method to create a heat transfer fluid (HTF) capable of absorbing high heat flux released in electronic devices. Nano-encapsulated phase change materials (NEPCM) dispersed in micro heat pipes is a novel approach in electronics cooling devices studied numerically possibly using Lattice Boltzmann approach which is efficient in recovering the diffusion process that controls energy storage at the mesoscale.
Archetype building and urban energy models for the UAE: Development and applications
Nourah Saeed Alkaabi (United Arab Emirates, United Arab Emirates); Ahmad Mayyas (Khalifa University, United Arab Emirates)
Because of the economic growth, modernization and burgeoning population, the energy demand in building sectors is experiencing a rapid expansion, hence negatively impacting the environment and increasing the green-house gasses emission. Moreover, since GCC countries are one of the huge energy consumers in the world beside their high environmental emissions, their contribution toward DSM is necessary. This paper will review the concept of demand side management which is part of the sustainable future in which it contributes in controlling and reducing the energy consumption of end users in demand areas such as residential, commercial, agricultural, and industrial sectors, therefore reducing the electricity bill without additional cost. Here, the most reliable and efficient techniques of DSM will be proposed to be implemented to UAE’s buildings.
Hamdan Alahbabi (Khalifa University, United Arab Emirates); Ibrahim (Abe) M. Elfadel (Khalifa University)
In this paper, we determine the crypto features most appropriate for crypto market clustering analysis and propose a crypto market segmentation with a consistent view of inter- and intra-cluster relationships and back-test it. the datasets used consist of 201 coins that coexisted together from 2013 till 2021. A crypto heterogeneity index is also proposed and its historical trends tracked since since 2013.
Hybrids of metal-organic frameworks with graphene oxide for CO2 capture from CO2/N2 gas mixture at low pressure
Solomon Kahsay Gebremariam (Khalifa University, United Arab Emirates); Anish Mathai Varghese and K Suresh Kumar Reddy (Khalifa University Abu Dhabi UAE, United Arab Emirates); Ludovic Dumée (Khalifa University, United Arab Emirates); Yasser Al Wahedi (Abu Dhabi Maritime Academy, Abu Dhabi Ports, Abu Dhabi, UAE, United Arab Emirates); Georgios Karanikolos (Khalifa University, United Arab Emirates)
In this study, hybrid adsorbents based on MIL-101 Metal-Organic Framework (MOF), a MOF with high thermal and chemical stability, and Graphene Oxide (GO) were developed at different GO loadings of 2-10 wt.% using an in-situ hydrothermal reaction, and they were investigated for CO2 capture at low pressure (up to 1 bar). The hybrid adsorbent with 6 wt.% GO exhibited the highest CO2 uptake at 25 °C and 1 bar, showing an enhancement of ~55% in comparison to the parent MOF. The hybrid adsorbent also displayed enhanced CO2/N2 selectivity and CO2 adsorption-desorption kinetics as well as excellent recyclability.
Muhammad Bilal Wazir (Khalifa University, United Arab Emirates); Abdul Rasheed Pillantakath (Khalifa University & Centre of Catalysis and Seperation, United Arab Emirates); Thongthai Witoon (Kasetsart University, Thailand)
A mesoporous SBA-15 templated-silica was synthesized successfully from sand as a precursor. This article presents the synthesis procedure and physicochemical characterization studies such as SAXS (small angle-XRD), and N2 sorption isotherms for sand-derived mesoporous SBA-15 materials. The sand derived SBA-15 exhibited a large specific surface area of 468 m2/g, with an average pore size of 6.4 nm, and total pore volume of 0.76 cm3/g.
Muhammad Uzair Khattak (Mohamed Bin Zayed University of Artificial Intelligence, United Arab Emirates); Adnan Khan (Mohame Bin Zayed University of Artificial Intelligence, United Arab Emirates); Khaled Dawoud (Mohamed Bin Zayed University of Artificial Intelligence, United Arab Emirates)
Fine-grained Image Classification (FGIC) is one of the challenging tasks in Computer Vision. Many recent methodologies including Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) have tried to solve this problem. In this study, we show the effectiveness of using both CNNs and ViTs hand in hand to produce state-of-the-art results on challenging FGIC datasets. We offer that by using DeiT as the student model and ConvNext as the teacher model in knowledge distillation settings, we achieve top1 and top5 accuracies of 92.52% and 99.15% respectively on combined CUB + Stanford Dogs datasets. On a more challenging dataset named FoodX-251, we achieved top1 and top5 accuracies of 74.71% and 92.99% respectively.
Abrari N Hasmi (Khalifa University & Institut Teknologi Kalimantan, United Arab Emirates)
Reservoir computing is one of the states of the art in solving dynamic systems using machine learning. In this paper, we investigate the prediction capability of the one-step prediction of the non-linear Schrödinger equation higher-order recurrence. The result showed that the reservoir computing synchronized well with the solution of the nonlinear Schrödinger equation
Kolthoum Samir Abualsaid (Ku & Dal, United Arab Emirates); George Mylonakis (Khalifa University, United Arab Emirates)
The extensive study on quay walls in very crucial, since the walls have failed previously. This paper will discuss several static and dynamic methods that have been used for the analysis of quay walls. Various factors are considered in previous analysis methods in order to compute an accurate seismic value coefficient. The objective of the research is to calculate an alternative method to calculate a more accurate value of khk (the seismic coefficient) using accurate input motion intensity and independent parameters to evaluate the effects of earthquake ground motions. Therefore, it would be more necessary to establish a simple and accurate estimation technique for calculating the influence of permeability, effect of porewater pressure, relative density of soil and foundation parameters as well as considering the soil-structure interaction effect “kinematic and inertial effects” for an improved and more accurate estimation of the behavior of quay walls.
Mohsen Mohammed Al Sakkaf (United Arab Emirates, United Arab Emirates); Yazan Khaled Al Shabout, Mohamed Adnan Aldaweela, Amin Samer Hammach and Safa Fadl ELdin Mohamed Ahmed (United Arab Emirates University, United Arab Emirates); Muhammad Zafar Iqbal (UAE University, United Arab Emirates)
Bio-renewable poly (ethylene furanoate) (PEF) as a potential alternative to the traditional fossil-based poly (ethylene terephthalate) (PET) in packaging and beverage applications. Predicted to commercialize in 2024-2025, PEF has a long way towards replacing PET-based materials. Among key elements towards PEF potential are its structural and physical stability against various environmental and human-based stimuli. This study focuses on structural stability of PEF thin films compared with PET against atmospheric moisture, water, and water vapors, and stability over a variety of liquid chemicals. Thin films prepared via vacuum compression molding were exposed to various conditions and characterized for their structural features using Fourier Transformed InfraRed Spectrometer and X-Ray Diffraction techniques. The results provide invaluable insights into usability of PEF. The comparative data generated in this study highlights the industrial processing and application range of PEF-based materials.
Waseem Al Shalabi (BUiD, United Arab Emirates)
The issue of forcibly displaced portions of a population has become an emerging global trend that is driven by significantly increased numbers of displaced people. Additionally, the average displacement time (ADT) has increased due to a decline in the number of durable solutions available
Therefore, this research aims to investigate alternative Humanitarian Sheltering Response (HSR) approaches and solutions. A literature review has been conducted which discusses the provision of adequate shelter as a human right and specifies the adequacy means, the terminologies of the different sheltering solutions, and the different approaches of response. Additionally, it identifies the characteristics of adaptable design strategies (ADS) for adaptable shelters and their correlated principle panels. Furthermore, an extensive review has been carried out on more than 43 projects, case studies, and solutions, both existing and novel, All of these are different climate conditions, response stages, vulnerability levels, and crisis types.
Simulation modeling of the outpatient healthcare system using incomplete system data and application to a hospital in the UAE
Alaa Jamal Alqaryuti (Khalifa University, United Arab Emirates)
Nowadays, the most frequent complaint from pa- tients is the prolonged wait for clinical treatment. Therefore, the majority of previous investigations proposed to reduce the waiting time using simulation. However, the usual simulation modeling assumes that the entire dataset is available for investigation. Unfortunately, in many cases, existing data is incomplete. The proposed methodology is to build the model depending on the hospital’s requirements, then overcome the issue of incomplete data. Based on the previous literature reviews, firstly, it can be assumed that the servers follow lognormal distributions, after that, the Opt Quest methodology in Simio can be used to find the optimum parameters of these distributions. Then, the model is validated and verified using historical data in the real world. Lastly, a comparison between the optimized simulation model and the current one will be done to check if there’s a remarkable reduction in the patient’s waiting time.
Nouf Talib Alhattawi, Saeed Al Ameri and Mohammad Alrwashdeh (Khalifa University, United Arab Emirates)
The efficiency and safety of nuclear power plants are some of the most critical factors that are considered when it comes to operating them. Due to the increasing number of accidents that have been reported in the industry, the use of pellet and cladding designs has become more prevalent. These materials are designed to provide an accident-resistant fuel that can maintain its active cooling for a long time. They can also help increase productivity and prevent accidents during normal operations. This study aims to analyze the neutronic parameters of FeCrAl and SiC as ATF cladding material at the assembly level. In order to minimize the effects of the replacement material on the design parameters, a sensitivity analysis will be conducted. This method will involve conducting alternating enrichments and geometries.
Binqiao Wang (Khalifa University Al Saada St - Zone 1 - Abu Dhabi, United Arab Emirates)
Introducing machine learning (ML) algorithms to conventional industry can enhance the accuracy and efficiency exponentially. In petroleum industry, many ML algorithms have already been applied in well-logging data analysis, sorting level analysis, and digital rock analysis (DRA). DRA, as one of the most important tools in reservoir characterization, has made a great contribution to characterize reservoir petrophysical properties. SVM (Support Vector Machine), is one of the ML algorithms that is widely applied in not only DRA but also other applications in petroleum engineering, such as well logging, drilling fluid analyses, total organic content estimation, etc. In this article, a brief case study of SVM algorithm is introduced.
Mohamad Toufic ElAchkar (UAEU, United Arab Emirates); Ahmed Thaher and Anasmon Valappil (United Arab Emirates University, United Arab Emirates); Amr Hassan (UAEU, United Arab Emirates); Sangarappillai Sivaloganathan (UAE University, United Arab Emirates)
Gallery method for conceptual design requires the members of the team to develop concepts individually in Phase 1 and put them in a gallery. The team members collectively critique and evaluate them and then go for second round before choosing a final design. Controlled convergence method proposed by Pugh uses Pugh’s matrix to evaluate, providing opportunity to rectify weaknesses and to introduce better designs using identified good features. In this manner, Gallery Method and Controlled Convergence can work in synergy. In this paper, optimal conceptual design of “a Leaflet Display Stand” was developed using the “Gallery Method and Controlled Convergence” to test whether they link synergically. The results show that they work together very well in developing better designs using the preferable features from Phase 1.
Transport characteristics of air-impurities through Li-O2 battery electrodes: A reactive forcefield molecular dynamic study
Khizar Hayat, Daniel Bahamon and Lourdes Vega (Khalifa University, United Arab Emirates); Ahmed Al Hajaj (Khalifa University of Science and Technology, United Arab Emirates)
Li-O2 battery, having ultrahigh theoretical energy density, is considered an emerging power source for future-generation electric vehicles. However, its commercial application is still limited due to low discharge capacity which is mainly due to the improper cathode design as well as air impurities (H2O and CO2). In that perspective, we have utilized hierarchical zeolite templated carbons (ZTCs) as novel air-electrode with high intrinsic porosity, specific surface area, and pore volume. The hierarchical ZTCs are generated from intrinsic microporous ZTCs using Materials Studio Package. Among generated structures (FAU-, RHO-, MFI-, and BEA-ZTCs), RHO-ZTC is the optimized architecture and was selected for the current study. Next, we are performing the ReaxFF-MD simulations using LAMMPS to investigate species transport (Li+, O2, H2O and CO2), their distribution, and product clustering inside porous electrode structure. The present study could be handy in designing efficient Li-air batteries based on novel ZTC-type hierarchical cathode structures.
Harikumar Venugopal (British University in Dubai, United Arab Emirates)
Integrated information systems capable of providing real-time data on engineering systems are a tremendous tool that enables increased operational efficiency and longer-lasting structures. Using UAVs to capture vast amounts of data at micro-scale accuracy and detect fractures for further damage assessment was a Utopian dream. However, with the emergence of AI, such systems are not only possible but have been implemented at research level. The use of big data, data mining techniques, and advanced computational methods to compute dynamic engineering system parameters, analyse and predict the behaviour of systems ranging from aerospace structures to massive complex bridge systems, and predict impending damage for proactive maintenance is regarded as a highly relevant and effective means of increasing safety in a sustainable manner. This paper uses a systematic review process to assess the advancements in bridge health monitoring domain along with its challenges and looks at the approaches employable for future research
Siti Maghfirotul Ulyah (Khalifa University, United Arab Emirates & Universitas Airlangga, Indonesia) This paper aims to examine the brain-gut relationship in human. Two sets of data of microbiome pathways and psychological traits were analyzed using statistical method. The clustering is used to group the microbiome pathways, then those clusters will be the target in classification using psychological traits as the features. The results stated that there is relationship between them.
Ferial AbuHantash and Aamna Alshehhi (Khalifa University, United Arab Emirates); Leontios
Hadjileontiadis (Khalifa University of Science and Technology, United Arab Emirates); Mohamed Lamine Seghier (Khalifa University, United Arab Emirates)
Alzheimer’s Disease (AD) is the most common form of dementia, specifically a progressive degenerative disorder affecting 47 million people worldwide and is only expected to grow in the elderly population. The detection of AD in its early stages is crucial to allow early intervention aiding in the prevention or slowing down of the disease. Overlooked data sources, such as medical history records, have shown promise as a tool for the early detection of asymptotic elderly. Despite being abundant, this real-world data are extremely noisy and inconsistent with no data preparation protocol for its integration. The objective of this work is to describe an ensemble of steps that can transform the noisy medical history data in free-text format to a useful representation with diagnostic value.
MONDAY, MARCH 20
Critical Success Factors for Implementing Off-Site Modular Construction projects in UAE: A Fuzzy DEMATEL Approach
Ahmad El Khatib (British University in Dubai, United Arab Emirates); Sa’Ed Salhieh (The British University in Dubai, United Arab Emirates)
Offsite Modular Construction, have started gaining popularity in the middle east in the last few years as it is seen to improve quality, reduce construction time and reduce safety related accidents. This research studied the influence and relationship between different critical success factors related to the implementation of offsite construction by using DEMATEL (Decision Making Trial and Evaluation Laboratory) with fuzzy set theory methods for analyzing Critical Success Factors and Principal Success Factors. After analyzing the data to find the causes, effects and relationships between the different factors, the results of the study found that 5 PSFs were causes while 2 PSFs and effects. This approach can be considered for future and more extensive research on this subject.
Numerical heat transfer analysis of sweeping jet impingement on leading edge blade of gas turbine
Mohammed Sami Uddin Khan (United Arab Emirates University, United Arab Emirates)
The gas turbine leading edge blade cooling via impingement technique has been established as prominent cooling technology. Introduction of fluidic oscillators as heat removal devices give a chance to enhance the heat transfer performance of traditional impinging jets by covering a wide span cooling area on the leading edge of a gas turbine that operate on the Coanda effect’s principal. In this study, the Unsteady Reynolds-averaged Navier-Stokes turbulent SST k- omega model was used to examine the flow and heat transfer performance of a set of seven sweeping impinging jets. The leading edge’s surface area was subjected to constant heat flux, was effectively cooled by the sweeping jet impingement, which also increased the cooling efficiency over time.
Uhood Khamis Aljabri (Sultan Qaboos University, Oman)
Investigating Structural Properties of TiO2 for Different Titanium Isopropoxide: Acetylacetone
Molar Ratios
Alia Husain Alaydaroos, Matteo Chiesa, Abdulla Al Shemeili and Lamiaa Elsherbiny (Khalifa University, United Arab Emirates) The effect of increasing titanium isopropoxide (TTIP) to acetylacetone (AcacH) ratio in the synthesis of TiO2 thin films has not been the subject of many studies. In this work, a chemical spray pyrolysis approach was used to create thin films with various (TTIP): (AcacH) molar ratios in solution ranging from 1:1 to 1:20 over a glass substrate at 350 . The surface morphology and structural features of the films were investigated using SEM, Raman spectroscopy, and XRD. TiO2 films had about the same thickness and mainly consisted of the anatase crystalline phase. Overall, adding more acetylacetone in the solution showed no significant impact on the structure of TiO2, hence higher resolution apparatuses are needed to spot such variation.
11:45 - 12:30
Poster-D2-S1-B: Poster Session - 1B
All Tracks
Room: Ballroom 3&4
Chairs: Abdulrahim H Ali (Khalifa University, United Arab Emirates), Alaa Jamal Alqaryuti (Khalifa University, United Arab Emirates), Anas Mohammad Ghannam (Khalifa University, United Arab Emirates)
Sweet corrosion prediction model of casings and tubing
Ghadeer Mubarak (Khalifa Universtiy, United Arab Emirates); Imad Barsoum (Khalifa University-ADAM Center, United Arab Emirates); Akram Alfantazi (Khalifa University, United Arab Emirates)
Casings and tubing corrosion is one of the main causes of serious incidents and failures. Their failure is primarily due to internal corrosion which is a function of process conditions. In this work, a prediction model of CO_2 (sweet) corrosion of steel casing is developed using COMSOL Multiphysics. The effect of temperature and pH on the corrosive species concentrations from the bulk solution to the surface of the steel is studied. The concentration of iron ions is found to be increasing with temperature at a constant pH of 5 at the surface of the steel due to the dissociation of the steel surface. Also, the variation in species concentrations at the boundary layer shows that there is a significant turbulent sub-layer that is present near the surface of the steel influencing the kinetics of the corrosion process.
Mehnaz Ummar (Khalifa University & American University of Sharjah, United Arab Emirates); Sajid Javed (Khalifa University, United Arab Emirates)
Underwater images in good quality are required for the investigation of the underwater environment, which can be used in wide applications such as ocean exploration, underwater object tracking, etc. However, underwater images often have issues including color casts, color artifacts, and blurred features. The self-attention mechanism in transformers is a more powerful and dynamic option to deal with the shortcomings of CNNs. Most methods use synthetic underwater datasets, which limit the performance of the data-driven underwater image enhancement or restoration technique. The main research problem is that there is a need for more accurate underwater image enhancement techniques, that would be developed by training and testing on real underwater image datasets. To address the mentioned issue, this paper proposes a transformer-based GAN model for underwater image enhancement that generate state-of-the-art performance (PSNR, SSIM, and UIQM) using a collection of underwater image datasets.
Aisha Alqassab and Panos Liatsis (Khalifa University, United Arab Emirates)
Automated and non-intrusive lung sound monitoring can significantly enhance diagnosis and management of respi- ratory diseases, such as chronic obstructive pulmonary disease (COPD), pneumonia, asthma, and COVID-19. In this work, a survey of recent advances in the field is presented. Emphasis is placed on the important topics of signal extraction/representation and associated selection of computational architectures versus the problem definition, i.e., disease diagnosis and characteristics.
Delal Momani (Khalifa University, United Arab Emirates)
Nanotechnology has recently gained remarkable significance in the field of water treatment and purification. It provides high-performance and affordable solutions for treatment. Molybdenum Disulfide (MoS2) 2D nanostructured particles were found to offer many attractive properties including high chemical, catalytic, and biological activity, and mechanical stability. Thus, it is being used widely in water treatment, especially in membrane technology. However, the dimensional instability and low performance of the 2D nanosheet membranes have hindered their application, which emerges the need for modification to improve the overall properties of materials. This research aims to synthesize 2D MoS2 particles, crosslinking the ultrathin nanosheets with succinic acid and functionalize by other agents, then use filter support to fabricate the MoS2/rGO membrane. The prepared membrane showed a pure water flux of 72 l/m2h and a rejection rate of 42% for divalent ions.
The Future of Islamic Cities: Accessibility Assessment of Mosques in Dubai Neighborhoods Built From 1950s to 2020
Mariam Ahmed AlHadhrami (Khalifa University, United Arab Emirates); Khaled Alawadi (Khalifa University of Science and Technology, United Arab Emirates); Nour Alkhaja (Khalifa University, United Arab Emirates)
Religious buildings have a significant and authoritative role in people's social and political lives that extends beyond that of a simple place of worship. However, research on transportation and urban design has paid little attention to such areas. This study assesses the accessibility of mosques as a type of Islamic religious building. Accessibility is measured in six residential neighborhoods in Dubai city at 400m and 800m walking distance. Also, this research considers the contribution of the alleyway network in improving accessibility by considering two network scenarios: street network only, and combined streets and alleyways network. Findings indicate that in the pre-suburban and early-suburban periods, there were higher proportions of residential plots that has access to at least one mosque. The outcomes also shows that smart street design, plot densities, network intersection densities, tactical alley placement, and mosque ratio and geographical distribution all work together to produce optimal pedestrian accessibility.
Comparison between Grid-forming Control and Grid-following Control Response to Short Circuit
Muntathir Al Talaq and Ahmed Al Durra (Khalifa University, United Arab Emirates); Tarek EL-Fouly (Khalifa University of Science and Technology, United Arab Emirates); Hatem H Zeineldin (Khalifa University & Advanced Power and Energy Center, United Arab Emirates)
With the increase in electricity demand and environmental concerns associated with conventional generators (SG), the integration of renewable energy sources (RES) is growing widely to replace existing SG. RES are interfaced with the grid through an inverter. Inverter-based resources (IBR) can be operated either in grid-forming (GFM) mode or grid-following (GFL) mode. Unlike SG, IBR lacks rotor mass inertia support to the grid during disturbances. However, GFM control provides relatively higher virtual inertia support than GFL. This paper compares gird-forming and gird-following responses to a three-phase short circuit and observes both resynchronization responses. The comparison is verified by modeling gird-forming and gird-following in Matlab/Simulink and testing their response. Since grid-forming controllers can generate their refernce angle independently from the network, they could resynchronize to the grid. In contrast, since grid-following controllers depend on the grid to generate refernce angle through PLL, grid-following controllers could not resynchronize after the fault.
Dubai as a Centre for Geopolitical Risk Advisory Service Companies
Hamad Faisal Al Blooshi (Khalifa University, United Arab Emirates)
There is no doubt that the competition and rivalry between major power to shape the value of the game and influence specific regions in international politics and creates security dilemma and uncertainty in the international system. This enhanced the demand for geopolitical risk information by different actors such as business institutions, investors, government, and non-governmental organizations. In today's interconnected world where trouble in one place affects another place directly or indirectly, it is crucial to understand background factors that shape some of the policies and the challenges that affect the geopolitical landscape.
This research aimed to understand the key factors that led geopolitical risk advisory service companies to establish their presence or operate in Dubai, and why Dubai has grown into a regional hub for such companies.
Chao Jin (Khalifa University, United Arab Emirates)
Seismic wavefield forward modeling is a fundamental tool for both data processing and interpretation in seismic exploration. We develop a generalized recursive convolution method to accurately calculate the temporal convolutions that is required in description of anelasticity. We have theoretically and numerically compared the new method with the common memory variable method that incorporates the leapfrog time-stepping scheme and other traditional recursive convolution methods. Our numerical examples verify the feasibility and accuracy of the new method for viscoacoustic and viscoelastic wave modeling.
Khaleeji Renaissance: Saud Al Sanousi as a Renaissance Writer
AlAnood Ahmed Albuainian (United Arab Emirates University, United Arab Emirates)
The Khaleeji Renaissance, though is relatively new, has a significant impact on the writers from the Gulf Region. Writers were influenced by political and social circumstances occurred in the Gulf region and started to use literature as a warning message to Khaleejis. This paper explores Arabic and Khaleeji literature in comparison to the European Renaissance Period. This qualitative study attempts to prove the Kuwaiti novelist, Saud Al Sanousi, as a writer of the Khaleeji Renaissance movement. To achieve that, his two works The Bamboo Stalk and Mama Hessa's Mice are used as an example. It has been found that Al Sanousi uses the main elements and factors of the Khaleeji Renaissance movement in his works. He addresses key issues Khaleejis face every day like discriminations, problematic identity, sectarianism and exploring the taboos.
Shadeedha Mohamed Saradara (Khalifa University, United Arab Emirates)
Over the past ten years, rising environmental concerns and hazards associated with resource shortages have raised awareness of the Circular Economic (CE) model. A circular economy (CE) is crucial in the resource-intensive construction sector to reduce global impacts and preserve natural resources. The UAE government committed the nation to achieving sustainable development by establishing the Circular Economy Policy, a comprehensive framework outlining the country's goal to achieve sustainable governance and the wise use of natural resources. The Circular Economy Policy promotes production and consumption methods that raise the standard of living for both the present and the next generation. The goal of the circular economy is to limit resource input and consistently prevent or reduce waste. This research paper seeks to conduct a literature review to understand the construction industry and different sustainability policies implemented by the UAE government.
Muhammad Hidar Al Dali, Saoud Sharif and Blaise Leopold Tardy (Khalifa University, United Arab Emirates)
In arid areas such as the UAE, soil quality is a limiting factor to the development of the food sector. Using amendments, among a variety of soil stabilization techniques, is one way to introduce organic carbon into desertic sandy soils and provide a significant reservoir of carbon. This paper aims to explore the potential of locally sourced natural polymers as stabilizers and water-interaction enhancers for sandy soils. Food in the UAE is covered mainly by imports with some input from local production. Both sources are producers of organic waste that can be valorized rather than landfilled. Processing organic wastes produces a range of products at different levels of processing: bulk biomass to pure polymers. Instruments for mechanical analysis will be used to study the toughness, strength, and other mechanical properties; and sorption measurement instruments will provide assessment for water mechanics.
Hamdan Alshamsi (Khalifa University, United Arab Emirates)
Zero trust security is becoming a research-focused topic due to the importance of always verifying and not trusting concepts. As more adversary attack methods are becoming increasingly sophisticated, ensuring the security of the Integrated Circuits (IC) and their authenticity has become paramount, especially in critical systems. Most current research uses SRAM-based Physical Unclonable Function (PUF) for chip-to-chip security, which has issues of degrading attack, authentication efficiency issues when power resetting the SRAM, and in critical operation, this could be costly. Another alternative is using Security Protocol and Data Model (SPDM), which offers reliable authentication for chip-to-chip zero trust security. This research investigates the implementation of SPDM for chip-to-chip zero trust security. The contribution will include implementing SPDM over I2C communication on two Raspberry Pi, implementing a threat analysis platform to evaluate and analyze the security threats of SPDM implementation, and a countermeasure to mitigate against the threats found.
Dipole-Driven Stereoselective Isomerization of TFSI- in TFSI--based Ionic Liquid-Solvent Solutions
Lin Yuan (Khalifa University of Science and Technology, United Arab Emirates); Aikifa Raza (Khalifa University of Science and Technology, Abu Dhabi, UAE, United Arab Emirates); Dimitrios Kyritsis and Tiejun Zhang (Khalifa University, United Arab Emirates) Bis(trifluoromethane)sulfonamide (TFSI-) based ionic liquids (ILs) offer extensive applications, such as electrochemical energy storage, owing to their thermal or electrochemical stability and high ionic conductivity, enabled by highly conjugated anionic center and flexible conformations of TFSI-. Although its trans/cis conformers display distinct polarities, the quantitively conformational propensity of TFSI- upon solvents remains unexplored, due to its conformational flexibility and the complex intra-, intermolecular interactions. Herein, the isomerization of TFSI- in the IL-based solutions has been explored via ab initio molecular dynamics (AIMD) simulation and Raman spectroscopy characterization. Strongly polar solvents stabilize the polar conformers of TFSI- and catalyze the nonpolar-to-polar isomerization by stabilizing transition states in the solutions, even in the presence of weakly polar cations. For PYR13TFSI (41.96% cis-TFSI-) with high minimum trans-to-cis energy barrier of 54 kJ mol-1, the 1-Methyl-2-pyrrolidone (NMP)-driven increased ratio of cis-TFSI- reaches 27% (molar ratio of IL and NMP = 1: 5).
Maha Khalifa Al Dhaheri (Khalifa University, United Arab Emirates)
There are various limitations and concerns surrounding the application of both Six Sigma and Design Thinking individually. In addition, to a lack of reported successful service-based projects, as well as, a generalized framework. Therefore, there is a need for integrating Design Thinking and Six Sigma as a means of process improvement in the service industry. This research project aims to bridge the gaps between Six Sigma and Design Thinking in the service industry by developing and validating a conceptual framework.
Development and assessment of gold nanoparticles as a contrast agent for the detection of tumor cells in spectral photon-counting CT
Yusuf Olatunji Ibrahim (Khalifa University, United Arab Emirates); Nabil M. Maalej and Aamir Younis Raja (Khalifa University of Science and Technology, United Arab Emirates); Dalaver Anjum and Ahsan Ul Haq Qurashi (Khalifa University, United Arab Emirates)
In this study, different concentrations of pegylated gold nanoparticles (AuNPs) were developed. Their potential agent for generating contrast in spectral computed tomography (SCT) imaging was demonstrated with the MARS scanner. We found out that gold nanoparticles generate a high contrast in SCT, which makes them a perfect candidate for the development of contrast agents for imaging tumor cells. The lowest contrast that can be visually perceived was 0.8 higher than that from water and was obtained from a gold concentration of 1.25 mg/ml.
Mubarak AlMehairbi, Rania Abdallah Al Abdallah and Marko Gacesa (Khalifa University, United Arab Emirates); Sharmarke Mohamed (Khalifa University of Science and Technology, United Arab Emirates); Nayla El-Kork (Khalifa University, United Arab Emirates)
To improve the understanding of the reaction mechanisms in the Martian atmosphere, accurate synthetic spectra simulating the conditions in the Martian atmosphere need to be generated. However, generating spectra consumes effort and time. For this purpose, SpectroTool was developed. SpectroTool automates the calculations and analysis of line lists and spectra for heteronuclear diatomic molecules. It utilizes external programs including Molpro, LEVEL, Pgopher, and ExoCross
Linking the distributions of pore networks to the diagenetic alterations and reservoir quality: a case study from Arab D limestones (Upper Jurassic), Abu Dhabi
Hind Yahya (Khalifa University, United Arab Emirates)
The Upper Jurassic Arab Formation comprises one of the most prolific hydrocarbon reservoirs in the Middle East, yet the key controls of reservoir quality are still relatively poorly understood. This study aims to highlight the main parameters controlling heterogeneity of porosity-permeability in conventional macroporous grainstones and unconventional microporous mudstone reservoirs of the Upper Jurassic, Abu Dhabi, United Arab Emirates. Linking the spatial and temporal distribution of pore networks to the diagenesis can have important implications for the development of accurate reservoir quality models, i.e. storage capacity and fluid flow.
Rawan Derbas (Khalifa University, United Arab Emirates); Lina Bariah (Technology Innovation Institute, United Arab Emirates); Sami Muhaidat (Kahlifa University, United Arab Emirates); Lina Mohjazi (Glasgow University, United Kingdom (Great Britain) & School of Engineering, United Kingdom (Great Britain)); Osamah S. Badarneh (German Jordanian University, Jordan); Ernesto Damiani (Khalida University - EBTIC, United Arab Emirates)
In this paper, we propose a novel RIS-assisted routing protocol for energy harvesting-based wireless networks, with the aim to minimize nodes' battery recharging time (BRT) while improving network performance. Furthermore, we design an optimal channel allocation scheme, considering channel fading conditions and accordingly, the route with the minimum BRT is selected. Finally, the proposed scheme is evaluated and compared with the minimum hop scheme, as a benchmark, in terms of performance using Matlab simulation
Guibin Zhao, Fateh Bouchaala and Mohamed Jouini (Khalifa University, United Arab Emirates)
Estimation of seismic anisotropy is crucial in oil and gas exploration industry, as it can be used to infer fracture network in reservoirs and to improve seismic imaging. However, physical models are difficult to apply in complex media such as carbonate reservoirs, in addition to their high sensitivity to noise. This leads to subjective interpretation, leading to inconsistencies and non-reproducibility of the results. In order to overcome such issues, we investigated machine learning techniques and we identified three machine learning techniques with high potential to estimate anisotropy parameters, namely Support Vector Regression(SVR), Extreme Gradient Boost(XGB) and Multi-layer Perceptron(MLP). After thorough investigation on different seismic attributes, we found that the amplitude of direct wave in time domain and frequency domain are the most suitable features for the above machine learning techniques. As a result, all of them gain satisfied testing results and identify the feasibility of machine learning methods.
Tayyab Khan (Khalifa University of Science and Technology, United Arab Emirates); Rehan Umer (Khalifa University, United Arab Emirates)
Hybridization is one the most effective techniques to avoid catastrophic failure in high-performance carbon fiber reinforced polymer composites (CFRPs). In recent years, considerate effort has been made to move towards sustainable composites by using thermoplastic matrices instead of nonrecyclable thermosetting resins. In this context, Arkema Industries has developed a low viscosity novel infusible thermoplastic resin called Elium®, with viscosities around 100-200 mPa.s [1], [2]. While comprehensive studies have been conducted on the pseudo-ductile response of conventional thermoplastic composites, the true potential of Elium®-based carbon/glass hybrid composites, in terms of pseudo ductility has not been explored yet. In this article, two different types of hybrid composite specimens were manufactured along with pure CFRPC and GFRPC specimens to investigate the microstructural changes and mechanical performance of Elium® composites through a comprehensive micro CT, flexural, and SEM analysis.
Mohammed Yassin Ibrahim and Reyad El-Khazali (Khalifa University, United Arab Emirates)
Some weather conditions can obstruct human activities severely and lead to many losses. One such weather condition is fog which causes reduced visibility resulting in major financial and life losses. Although the dispersion of supercooled fog has seen some success, the elimination of warm fog is still unsuccessful. There are many techniques developed to disperse warm fog, but they are either impractical, expensive, or can damage the environment. This paper aims to find an innovative solution which is inexpensive, simple, and has no impact on humans or the environment (i.e., non-destructive). The proposed method involves sending a signal with a combination of multiple frequencies to the fog layer.
Oula Mohamed Momen Hatahet and Mohamed Lamine Seghier (Khalifa University, United Arab Emirates)
Cognition is defined as the mental functions by which knowledge is learned, accessed, retained, retrieved, and utilized. Current evidence shows that cognitive abilities might change with age. The increased life expectancy and increased percentage of elderly in the community call for more efforts to better understand aging-related cognitive decline, and better characterize cognitive decline in healthy aging compared to cognitive impairments. Neuropsychological testing is widely used to evaluate cognitive performance in subjects with high risk of developing cognitive impairments. However, these tests have been shown to be sensitive to ethnicity, culture, sensory and cognitive abilities, education level, and other co-morbidities. Existing tools to test cognitive decline in MENA populations are scarce. Hence, this project aims to design and implement a comprehensive computerized neuropsychological test battery adapted for Arabic populations using classic tasks bridging the gap in neuropsychological testing in the MENA region.
Juan Pablo Pena Herrera and Mahmoud Meribout (Khalifa University, United Arab Emirates)
Object detection is one of the main tasks in computer vision field. Many algorithms have been developed in pursuit of extracting unique object features and transform them into meaningful information from which allow the identification of these objects. The efficiency of the object detectors depends on the detection accuracy and the processing time and the computational resources used. Processing time is particularly important when targeting real-time applications, which are used when an instantaneous response to the input data is vital, such as in autonomous vehicles. This review paper provides a brief yet comprehensive survey on the main object detection algorithms, together with their underlined hardware accelerators targeting autonomous vehicles together.
Fatima Kashwani and Bilal Hassan (Khalifa University, United Arab Emirates); Majid Khonji (Masdar Institute, Khalifa University, United Arab Emirates); Jorge Dias (Khalifa University, United Arab Emirates) Teleoperation, also known as remote driving, is an essential step toward the development of fully autonomous vehicles, as it allows a human to take control of the vehicle if necessary. However, teleoperation involves some latency between driver and vehicle. Therefore, it is essential to provide some guidelines to the driver to ensure safety. Automated detection of drivable lanes can assist the teleoperator with collision-free paths, allowing them to act quickly in case of any emergency. In this work, we evaluate different deep learning models for detecting drivable road lanes. The simulation results show that the best-trained model achieved a mean Dice score of 0.863 for correctly segmenting the drivable regions under diversified and challenging urban environments.
Asma Saeed Alneyadi (Khalifa University, United Arab Emirates)
This study examines the relationship between COVID-19 and the business practices of green tech food production companies in the United Arab Emirates (UAE). More specifically, it assesses the impact of COVID-19 on labor practices, customer base, food production, suppliers, and sustainability practices of green tech food production companies in the emirates of Abu Dhabi and Dubai. It is essential to investigate and address the nuances of this relationship considering the significant implications for the nexus between food, energy, and environmental security in the UAE. Policy recommendations derived from this research could guide the UAE in supporting green tech food production companies through future pandemics.
Samah Ahmed (Khalifa University, United Arab Emirates)
Organic solvents have been used immensely in industrial processes for separation and purification purposes. Despite the excellent efficiency in desired processes these solvents yield, they fall short on aspects concerning the well-being of human and the environment. Research has been guided in the past years towards finding greener solvents, such as ionic liquids (ILs) and deep eutectic solvents (DESs), which are also known as designer-solvents. This study employs molecular modeling using the soft-SAFT equation of state to study the performance of novel DESs in a separation application focused on the removal of contaminants from oil. The model captures the complexity of the DES solvents, while providing insight on the impact of their microscopic structural and energetic features.
Abdullah SA Shaikh (Khalifa Universsity, United Arab Emirates); Dimitrios Kyritsis and Afshin
Goharzadeh (Khalifa University, United Arab Emirates); Hamid Abderrahmane (Khalifa University of Science and Technology, United Arab Emirates)
Light alcohols produced via sustainable methods are considered a promising carrier of energy due to their storage and transportation convenience. For the successful application of these light alcohols (Methanol and ethanol) as an alternative fuel into existing power trains, a detailed understanding of their atomization and spraying behaviour is needed. This research aims to investigate the atomization and spray behaviour of sustainable light alcohol jets in crossflow through experimental and computational methods, with a particular focus on the mechanism that leads to the breakup of liquid jets near the nozzle. The experimental setup consists of a liquid injector with a pressurized liquid supply system, a transparent crossflow channel for observation of the spray behaviour, a wind tunnel, and a PDPA system. The liquid jet breaking mechanism is investigated for different Reynolds numbers. It was observed that the Methanol produces finer droplets than diesel with larger spray angle and penetration length.
Xiangjian Hou and Samuel Horvath (Mohamed Bin Zayed University of Artificial Intelligence, United Arab Emirates); Mohammad Yaqub (Mohamed Bin Zayed University of Artificial Intelligenc, United Arab Emirates)
We investigate the use of federated learning (FL) for brain structure segmentation. FL allows training machine learning models on data from multiple sources and institutions without sharing the data directly which is key to ensure proper data privacy. In this paper, we use the FedAvg algorithm and create a fair and comparable baseline. Our results show the potential and challenges of using FL for brain structure segmentation, and provide insight into the tradeoffs involved in this approach. These findings can serve as a starting point for future research in the medical image analysis and FL domains.
Optimal Siting of Quasi-Dynamic Wireless Charging Stations for Electric Vehicles in Transportation and Power Networks
Prince Aduama and Ameena Al Sumaiti (Khalifa University, United Arab Emirates)
In this paper, an optimization model for the optimal siting of quasi-dynamic wireless charging stations in road and power networks is presented. The problem is formulated as a mixed integer nonlinear programming (MINLP) model. The objective of this optimization model is to optimally determine the sites for QWC stations as well as the battery capacities of an electric vehicle bus fleet that will minimize investment costs and the cost of running the stations. Furthermore, four different optimization algorithms are implemented to solve the problem using MATLAB
Synthesis of Metal-Organic Frameworks Hybrid Materials for Selective Adsorption of H2S
Abdul Samad Butt, Mohammad Abu Haija and Maguy Abi Jaoude (Khalifa University, United Arab Emirates); Kyriaki Polychronopoulou (Khalifa University of Science and Technology, United Arab Emirates)
Hydrogen sulfide (H2S) is a highly toxic, corrosive, acidic gas. It is extremely lethal for living organisms even at a low concentration of 100 ppm. This research is aimed to design a sorbent material comprising metal-organic frameworks (MOFs) to lessen these harsh effects by effectively reducing its release in the atmosphere. Due to their tunability, high surface-to-volume ratio, and stability, MOFs can be employed for this purpose and offer better control to tailor a material suitable for H2S.
12:30 - 13:30
Lunch Break Room: Ballroom 3&4
13:30 - 14:00
Panel Session 3 Mufakiru Al Emarat: Navigating the Path to Sustainability: Perspectives from Diverse Disciplines
• Dr. Fahad Almaskari, Director of Engagement, Khalifa University/ Moderator
• Dr. Fahad Alyafei, Chief Technology Office, Siemens Energy
• Dr. Hamad Al Jassmi, Director of Emirates Center for Mobility Research at UAE University
• Dr. Maryam Rashed Al Shehhi, Civil Infrastructure and Environmental Engineering, Khalifa University
• Dr. Jamal Alsawalhi, Electrical Engineering and Computer Science, Khalifa University Room: Ballroom 3&4
14:00 - 15:30
EPS-D2-S2: Biology & Other Topics in Life Sciences
Clinical, Pre-Clinical, Health & Life Sciences
Room 8
Chairs: Thilina T Alawathugoda (UAEU, United Arab Emirates), Adnan Uddin (Khalifa University, United Arab Emirates)
14:00 Effect of Maternal Obesity on Embryonic brain development and Neurogenesis through epigenetic mechanisms
Thilina T Alawathugoda (UAEU, United Arab Emirates)
Neurodevelopmental disorders have a complex etiology that might be similar and start very early-on during embryonic development through the involvement of epigenetic mechanisms. Research shows that saturated fatty acids alter developmental neurogenesis due to reduced progenitor proliferation and increased differentiation into neurons. Histone modification induced by the change in expression of enzymes, regulate signaling pathways and affect the expression of several transcription factors responsible for de novo fatty acid and cholesterol biosynthesis, possibly leading to defective neurogenesis.
14:15 Improving human epidermal stem cell in vitro culture conditions by uncovering how RNA methylation modulate non-coding RNAs
Adnan Uddin and Abdulrahim Sajini (Khalifa University, United Arab Emirates)
Currently the main limitation of maintaining adult stem cells (SCs) in vitro is loss of plasticity. This means that once SCs are removed from their inherent niches they differentiate. Therefore, it is very difficult to grow SCs in the lab for regenerative purposes, and current available methods are with limitations. Post-transcriptional RNA modification of vault RNA (vtRNA) is implicated in regulating SC homeostasis and gene expression. Specifically, NSUN2 mediated methylation of vtRNA1.1 directs its processing into miRNA like molecules which in turn can regulate SC homeostasis. Here, we explore the role of endoribonuclease Dicer in vault RNA processing. Furthermore, the functional role of vault RNA in regulating SCs is investigated. Finally, we examine the use of synthetic RNAs as means for improving in-vitro maintenance of skin SCs.
Shaikha Ali Alkindi (University of Sharjah, United Arab Emirates)
Aim: To compare the accuracy of conventional versus digital impression techniques for angulated and non-angulated implants. Material and methods: Two models were prepared with two implants. An implant with 15-degree angulation was inserted in the second molar region, and a straight angulated implant was placed on the second premolar site. Conventional impressions were made using splinted open tray technique using (NIC: narrow impression coping and WIC: wide impression coping ). Four scanners were used for digital impression (3shape, Medit i700, CEREC Omnican, and Planmeca) using (SSB: short scanning body and LSB: long scanning body). All test groups were scanned ten times and converted to an STL file. The reliability was tested based on both models' baseline reference STL files. All files were superimposed onto STL reference files. A mathematical calculation was done to find the differences in terms of vector magnitude error and angulation errors.
Ameera Sultan Al Shehhi and Nallusamy Sivakumar (Sultan Qaboos University, Oman) Exploring low-cost feedstock for biodiesel production to replace a non-renewable energy source is attracting attention nowadays. In this study, Aloe vera peels were utilized as a novel substrate for biodiesel production by the oleaginous yeasts, Rhodosporidium toruloides and Cryptococcus curvatus using mono and co-culture methods. The result shows that R. toruloides produces about 5 g/L (32%) of lipid, which is significantly more than C. curvatus and co-culture. The predicted properties of the produced biodiesel met the international standard (EN14214 and ASTM D6751) requirements. Consequently, the AVP could be a potential renewable feedstock for producing microbial lipids, which are crucial for biodiesel production.
15:00 Newly synthesized benzimidazole-2-carbamate molecules show suppressive activities against plant pathogenic fungi and oomycetes
Omar Al Sudairy (Sultan Qaboos University, Oman); Velazhahan Rethinasamy (Professor at SQU, Oman); Aliya Al Ansari (Associate Professor, Oman); Abdullah Al-Sadi (SQU, Oman)
Benzimidazole and its derivatives are important heterocycles that are critical subunits for pharmaceutical and biological molecules. This study was carried out to investigate the effect of 44 newly synthesized benzimidazole compounds on Alternaria, Rhizoctonia, Cochliobolus, Fusarium, Lasiodiplodia and Pythium, which are pathogens of major crops worldwide. Well-diffusion method was done using 100 μL of two different concentrations of benzimidazole compounds (1000 and 5000 ppm). The molecules designated as EBI.bB4, EBI.eB1, EBI.fB2, EBI.gB1, EBI.gB2, EBI.aB4.S, EBI.aB5.S, EBI.eB1.S and EBI.gB1.S showed suppressive effects on fungal and oomycete growth at 1000 and 5000 ppm. When these fungicides were tested against Trichoderma harzianum, a beneficial biocontrol fungus, the fungus was not affected. This suggests that these newly synthesized fungicides may work synergistically with T. harzianum in suppressing growth of the pathogenic fungi. The study shows that nine new fungicides show promising results in reducing growth and resulting in deformations of the mycelia pathogens.
14:00 - 15:30
EPS-D2-S2:
Engineering, Information Technology & Physical Sciences
Room 3
Chairs: Shahd Badr Alshehhi (Khalifa University, United Arab Emirates), Abdulrahman Awad (Khalifa University, United Arab Emirates)
Shahd Badr Alshehhi and Charalampos Pitsalidis (Khalifa University, United Arab Emirates); Anna-Maria Pappa (Khalifa University, Abu Dhabi, UAE, United Arab Emirates); Aibobek Seitak, Abdulrahim Sajini and Haralampos Hatzikirou (Khalifa University, United Arab Emirates)
The current state of the art of in vitro models is dominated by two-dimensional (2D) cell cultures, even though 3D cell cultures have proven to be more accurate for recapitulating the cellular architecture and response to microenvironmental stimuli. Among various 3D cell culture approaches, tissue-engineered scaffolds are especially promising components. However, when it comes to dynamic assessment of the 3D cell cultures current technologies (mostly optical-based) fall short consisting mainly of end-point assays. Herein, we address this issue by using continuous electrical assessment of the 3D cell cultures as they grow on electroactive composite scaffolds based on poly(3,4-ethylenedioxythiophene): polystyrene sulfonate (PEDOT: PSS) and MXenes. The resulted architectures are fabricated via freeze-drying technique and the effects of the different compositions on the morphology, swelling and biocompatibility, are investigated. Finally, the scaffolds are cultured with various cell types and characterized regarding the cell attachment, cell viability, as well as marker expression.
Rami Homsi (Khalifa University, United Arab Emirates)
Detecting cancer biomarkers at an early stage at the clinical level has been the interest of numerous researchers over the years. Attention is towards fabricating reliable, cost effective, reproducible, and accurate devices to be used as point-of-care equipment. An emerging technology/device used in molecule sensing and particularly in cancer biomarkers sensing is the memristor. As the name suggests, the memristor is essentially a resistor with a memory. This study aims to demonstrate the fabrication and utilization of a memristive reduced graphene oxide (rGO) device for the detection of prostate specific antigen (PSA). Graphene oxide is spin coated on a Cyclic Olefin Copolymer (COC) substrate and standard photolithography process is utilized to pattern gold on top which acts as an electrode. Covalent attachment using EDC and NHS is used for the attachment and functionalization of anti-PSA antibody onto the device’s surface.
14:30
Hanadi Abdulla (Khalifa University, United Arab Emirates)
Type 2 diabetes is a severe worldwide metabolic disease in which the blood glucose is abnormally high, leading to multiple serious complications, including death. It has high prevalence rates globally, including in the United Arab Emirates. It is also one of the leading causes of death in the world. This shows the significance of studying the genetic variants associated with type 2 diabetes for building a comprehensive understanding of the disease’s etiology, pathogenesis, and progression. Prediabetes is a crucial stage with a better chance of being reversed to normal. Hence, it is essential to investigate the SNPs biomarkers associated with the prediabetes stage for early-onset prediction of diabetes to have a higher chance of returning to normal cases.
14:45
Abdulrahman Awad (Khalifa University, United Arab Emirates); Sofia B Dias (Faculdade de Motricidade. Humana, Portugal); Sofia J Hadjileontiadou (Democritus University of Thrace, Greece); Aamna Alshehhi (Khalifa University, United Arab Emirates); Leontios Hadjileontiadis (Khalifa University of Science and Technology, United Arab Emirates)
Learning management systems (LMSs) in higher education institutes are crucial to learning experience. Modelling of students’ behavior with LMS is a point of interest to educators and policymakers. To model such behavior, the quality of interaction metric (QoI), combined with several machine and deep learning models are proposed. The critical features that affect such behavior are further interpreted using SHapley Additive exPlanations (SHAP) and bee swarm/force plots. To test such approach, LMS interaction data from a higher education institution (HEI) from 1037 students and 75 professors in Lisbon were analyzed. The deep learning model achieved RMSE of 0.061 and R2 of 0.717. Using the employed plots, engagement time, viewing and uploading content were the basic LMS actions that affected the QoI. This interpretation could allow for development of adaptive feedback system that provides a personalized learning experience, while presenting insights to educators and policy-makers on LMS use at HEIs.
Xinyu Wang and Vincent Chan (Khalifa University, United Arab Emirates) Corneal dystrophy is one of the most common complications of diabetes, which causes various cornea defects requiring keratoplasty. However, the human donor source of corneas cannot meet the high needs of corneal transplantation. This calls for the imperative development of cornea alternatives. Decellularized corneal replacements are considered as promising prostheses for future clinical translation with less immunogenicity, reduced complications, and wide acceptance of xeno-donor source. The slaughterhouse generates many tons of ovine eye-waste every year and decellularizing these ovine corneas will not only create paramount of scaffolds but also benefit for the economy circulation. The regenerated kerato-substitutes were characterized by histology, DNA quantification, FTIR, ocular transmission, and surface tension studies to explore their functionality and integrity for further in vivo transplantation. The results exhibited the similar structure and function of decellularized corneas to the natives, indicating the successful creation of cornea analogs at the initial stage.
Aibobek Seitak (Khalifa University, United Arab Emirates); Aya Shanti (Khalifa University of Science and Technology, United Arab Emirates); Kin Liao (Aerospace Engineering, United Arab Emirates); Vincent Chan (Khalifa University, United Arab Emirates); Sung Lee (Biomedical Engineering, United Arab Emirates); Georgios Karanikolos, Shaohong Luo, Javad Iskandarov and Nouran Farid (Khalifa University, United Arab Emirates)
MXenes belong to a new class of two-dimensional (2D) functional nanomaterials with unique physical, chemical and mechanical properties for various applications. To date, the potentials of MXenes for biomedical application such as drug delivery have not been thoroughly explored. In this study, we developed novel drug delivery system from MXene for the controlled release of a model therapeutic protein. Synthesized MXene was characterized, then the cytotoxicity was evaluated using murine macrophages. Then drug loading capacities and sustained release capabilities of MXene were assessed. Results demonstrated that MXene did not induce cellular toxicity, highlighting, the efficient loading of MXene with FITC-catalase for achieving controlled release. The release profiles showed higher initial rate under basic buffer (pH 9) compared to that in physiological (pH 7.4) and acidic buffers (pH 2). This study leads to a fundamental advancement towards the use of MXene as a nanocarrier for therapeutic proteins in drug delivery applications.
14:00 - 15:30
EPS-D2-S2: Chemical Engineering Engineering, Information Technology & Physical Sciences
Room 4
Chairs: Waad Mohammed Alshehhi (Khalifa University, United Arab Emirates), Youssef Kaddoura (Khalifa University, United Arab Emirates)
Javad Iskandarov (Khalifa University, United Arab Emirates); George Fanourgakis (Aristotle University of Thessaloniki, Greece); George Froudakis (University of Crete, Greece); Georgios Karanikolos and Shehzad Ahmed (Khalifa University, United Arab Emirates); Waleed Alameri (Khalifa University of Science and Technology, United Arab Emirates)
Foam injection is a promising enhanced oil recovery (EOR) method, being at the same time an efficient carbon storage technology. The performance of the foam is heavily dependent on its rheological properties, which are challenging to predict due to the complex underlying physics and sensitivity to various reservoir and operational parameters. Data-driven approaches can be an alternative method to the time-consuming experimental and conventional modeling techniques, which often fail to accurately describe the effect of all important related parameters. In the current study, machine learning (ML) models were constructed to predict the oil-free CO2 foam apparent viscosity in carbonate and sandstone formations. The study uses experimental data to study different surfactants stabilized CO2 foams at various operational and reservoir conditions. The various anionic, cationic, amphoteric, and nonionic surfactants considered in this work are specified based on their hydrophilic-lipophilic balance (HLB) number.
14:15 Molecular Modelling of Amine based Deep eutectic solvents for CO2 capture using the soft-SAFT equation of state
Safique Anwer (Khalifa University, United Arab Emirates); Ismail I.I. Alkhatib (Khalifa University & Research and Innovation Center on CO2 and H2 (RICH), Khalifa University, United Arab Emirates); Ahmed Al Hajaj (Khalifa University of Science and Technology, United Arab Emirates); Lourdes Vega (Khalifa University, United Arab Emirates); Inas Alnashef (Khalifa University of Science and Technology, United Arab Emirates)
Amine based Deep eutectic solvents (DES) are reported as promising solvents due to its high CO2 capture capacity and high thermal stability compared to traditional amine systems. In this work, we have modelled three amine based DESs such as ChCl-MEA, ChCl-DEA, and ChCl-MDEA to screen them as solvents for CO2 capture using the molecular-based soft-SAFT equation of state (EoS). Experimental density and vapor pressure data are used to optimize the molecular parameters. The robustness of the model has been investigated with its binary mixture with water. The results validate the model with good agreement with experimental data.
Youssef Kaddoura (Khalifa University, United Arab Emirates); Kyriaki Polychronopoulou (Khalifa University of Science and Technology, United Arab Emirates); Maryam Khaleel (Khalifa University, United Arab Emirates)
Due to the negative impact of climate change, reduction of CO2 concentrations in the atmosphere became urgent. Conversion of CO2 to low-carbon fuel via hydrogenation is an attractive route as these products are in high demand. Recently, tandem catalysts are capable of catalyzing this reaction, by encapsulating a metal/metal oxide catalyst into a zeolite support. SAPO-34 is one of the best candidates as a zeolite support, however, it suffers from a low activation rate due to coke deposition within its channels. To overcome this challenge, nanosheet SAPO-34 is synthesized by reducing the crystal size and has shown a higher activity rate. This project will explore the gap of using this zeolite support in direct hydrogenation of CO2.
Randa Ibrahim Fathy (Khalifa University, United Arab Emirates); Emad Alhseinat (Professor of Chemical Engineering, United Arab Emirates)
The primary goal of this work is to explore the viability of the RED process for energy harvesting from oilfield produced water (PW) utilizing a RED bench scale. The power generated by the RED process was evaluated using synthetic PW based on the same primary components found in the real PW. The synthetic PW was prepared with different compositions of sodium chloride (NaCl), phenol, divalent cations (Ni and Zn) and organic acid (butyric acid). The results showed that the produced power using synthetic PW with pure NaCl was 20 mW whereas it reaches 15 mW with the PW containing the divalent cations and the organic acid. This means 25 % of the produced energy decreasing caused by the presence of the divalent ions and organic acid. Therefore, the effects of various components present in the feed on the RED power generation should be extensively examined for the optimization purpose.
15:00 An investigation of air-stable layered sodium-ion cathodes and its theoretical studies
Waad Mohammed Alshehhi, Ali Al Hammadi, Georgios Karanikolos and Nirpendra Singh (Khalifa University, United Arab Emirates)
This study aims to explore different candidate air stable metal oxides cathode to be used in sodiumion batteries (NIB). NIBs have been proposed as an alternative to the current widely used lithium-ion batteries (LIB). Mainly, NIBs are superior due to the abundance of materials which affect the cost and thus promise a cheaper and more available rechargeable battery. This study recognizes the need to develop alternative and more effective recharge batteries to support the adoption and scalability of renewable energy sources .This study utilizes the density functional theory (DFT) to assess the structure of the cathode materials and compare them in terms of characteristics that make them viable for use. One category of candidate cathode materials is transition metal oxides will be considered. This work includes the study of different transition metal cathodes configurations and unit radius that will lead to find an efficient sodium ion battery cathode.
15:15 Core-Shell Porous Framework Contactors for Efficient CO2 Capture from Low Concentration
Flue Gas
Fatma Jamal Alshamsi (Khalifa University, United Arab Emirates)
Metal-organic Frameworks (MOFs) are crystalline microporous materials offering large surface area and tunable pore size distributions for separation applications.The unique features of MOFs enable their applications for gas storage or capture. MOFs are however sensitive to moisture and water. Routes to control the water uptake and improve stability have been developed and focused onto strategies involving one of the most important properties of MOFs in terms of their potential uses. Covalent organic frameworks (COFs) are another type of microporous organic materials, constructed from organic building linked via strong covalent bonds. The objective of this project is to develop the next generation of Direct Air Capture materials for CO2 adsorption. Here, water-stable microporous adsorbents will be generated by hybridizing MOFs and COFs. Core-shell MOF@COF will be developed to prevent water vapor from diffusing into the MOFs core and thus maintain the native MOFs capability to efficiently capture CO2 in humid conditions.
14:00 - 15:30
EPS-D2-S2: Cybersecurity & Data Science
Engineering, Information Technology & Physical Sciences
Room 5
Chairs: Hessa Alfalahi (University of Science and Technology, United Arab Emirates), Ghebrebrhan Weldit Gebrehans (Khalifa University, United Arab Emirates)
14:00 Malicious Domain Names Detection Using Transformers
Ghebrebrhan Weldit Gebrehans (Khalifa University, United Arab Emirates); Ernesto Damiani (Khalida University - EBTIC, United Arab Emirates); Chan Yeun (Khalifa University, United Arab Emirates)
This paper proposes automatic and efficient malicious domain name detection using attentive convolutional transformer networks (ACT). Unlike the original transformer networks, the presented methodology relies on convolution-based attention mechanisms to distinguish benign and malicious domain names. The implemented detection system achieved promising results with accuracy, F-1, and Mathew correlation coefficient scores of 97.4\%, 97.4\%, and 94.5\%, respectively. Finally, it concludes with the potential contributions and the upcoming work to improve performance further.
14:15 Impact of Integrating Renewable Energy Systems on the Smart Grid-Transportation Nexus Operation under Electric Vehicle cyber-attacks
Omar Adil Al Isawi (Khalifa University of Science and Technology, United Arab Emirates); Khaled Aljaafari and Ameena Al Sumaiti (Khalifa University, United Arab Emirates)
The smart grid-transport nexus includes two major elements, which are the transport network elements, including Electric Vehicles (EVs) and their Charging Stations (EVCSs), and the smart grid network elements, including the generation nodes and the demand nodes. The aim of this paper is to study the cyber security aspects of the smart grid and transportation system while operating in a nexus. This was done by modeling and simulating the transient stability effects of demand side cyberattacks (load alteration and arranged EV discharging attacks) on the conventional generatorsbased nexus and on the renewable energy generation (solar PV system) and conventional generators-based nexus, respectively. The results have demonstrated that demand side cyberattacks can cause complete system failure and blackouts and are more lethal to a smart gridtransport nexus that includes conventional generators and renewable energy generation units due to its lower inertia compared to a nexus that has conventional generators only.
14:30 ML-Based Ransomware Detection for Android OS
Sumaya Albedwawi and Chan Yeun (Khalifa University, United Arab Emirates); Ernesto Damiani (Khalida University - EBTIC, United Arab Emirates); Naoufel Werghi (Khalifa University, United Arab Emirates)
Nowadays, there are billions of users of Android smartphones. Smartphones are acting like small computers. It can help scientists in many ways, such as bird monitoring, earthquake sensing, tree identification, data collection, cloud computing, and many others. The hackers or the malware authors exploit the vulnerabilities on the OS to get the sensitive data of the users. Ransomware is used to encrypt the data and sometimes lock the phone. The open-source feature on Android is one of these vulnerabilities. Studies provided some techniques to detect ransomware, but it does not avoid it and it still reaching. In this project, we will discuss a machine learning-based technique for detecting Android ransomware. First, we will survey recent papers for analysis and detection of Android ransomware. Then we will do feature extraction using Logcat and system calls. After that, we will Classify the applications using different machine learning models.
14:45 Deep Transformer Model for the Remote Detection of Parkinsonian Tremor from Wrist-Worn Accelerometer Time-Series Data
Hessa Alfalahi (University of Science and Technology, United Arab Emirates); Aamna Alshehhi (Khalifa University, United Arab Emirates); Ahsan Khandoker (Khalifa University of Science, Technology and Research, United Arab Emirates); Leontios Hadjileontiadis (Khalifa University of Science and Technology, United Arab Emirates)
The search for easy predictive biomarkers for Parkinson's Disease (PD) is an ongoing clinical dilemma. Parkinsonian tremor is one the early symptoms of PD. Recently, digital data obtained from wearables were used via machine learning models to assess PD symptoms under ecologically valid settings. Nevertheless, research suggests the importance of deep learning models that preclude the need for hand-engineered featured and long preprocessing stages. Therefore, we propose a novel transformer network on raw accelerometer signals for tremor prediction. Transformers are robust models that employ solely multi-head self-attention layers, yielding computationally efficient representations of long sequences. The transformer outperforms previous work on the prediction of Parkinsonian tremor from accelerometer signals, achieving a mean sensitivity/specificity of 0.91/0.78, mean Area Under the Curve (AUC) of 0.85 and mean accuracy of 0.87 in a ten-fold cross validation framework. Developing End-to-End diagnostic deep learning models is likely to be the future of digital medicine.
Saeed Bark AlMarri (Khalifa University, United Arab Emirates); Panagiotis Liatsis (Petroleum Institute, United Arab Emirates); Zeyar Aung (Khalifa University of Science and Technology, United Arab Emirates)
Financial markets have significant impact on many areas such as business, jobs, education and technology, which all have an impact on the economy. It is an extremely challenging field to accurately predict because the nature of stock market movements and price behavior are dynamic, nonstationary, nonparametric, nonlinear, and chaotic. There is a rich history of stock prediction using analytical and traditional statistical tools, but recently, we have the emergence of advanced Machine Learning and Deep Learning (DL) methods that provide an entirely new toolbox that can address complex prediction problems.
This research will focus on developing Predictive Equity Ranking (PER) methodologies using modern DL tools and Learning to Rank (LTR) algorithms. The dataset that would be used is a real-world dataset. The expected outcome is a stock ranking based on the most profitable stocks. By succeeding in doing so, a portfolio can be further constructed with the highest ranking stocks.
14:00 - 15:30
EPS-D2-S2: Electrical & Electronic Engineering Engineering, Information Technology & Physical Sciences
Room 1
Chairs: Shraf Eldin Sati Shampool Abdelgader (Abu Dhabi & Khalifa University, United Arab Emirates), Muntaser Al-Mansoori (Khalifa University, United Arab Emirates)
14:00 Microgrid Frequency Stability Improvement using A Robust Compensator
Shraf Eldin Sati Shampool Abdelgader (Abu Dhabi & Khalifa University, United Arab Emirates); Ahmed Al Durra (Khalifa University, United Arab Emirates); Hatem H Zeineldin (Khalifa University & Advanced Power and Energy Center, United Arab Emirates); Tarek EL-Fouly and Ehab El-Saadany (Khalifa University of Science and Technology, United Arab Emirates)
Since the inverter is a static part and decouples renewable energy resources from the connected system, inverter-based distributed generation (IBDG) does not inherently provide inertia or damping capability. Insufficient inertia and damping properties cause frequency instability; thus, virtual inertia and damping (VID) are proposed to address such issues by rapidly adjusting the active output power of the controlled IBDG. This paper is an extension to the recently proposed lead compensator, which enhances the frequency stability of a microgrid by improving the performance of VID control loops based on battery energy storage (BESS). Moreover, the paper compares the frequency response and BESS capacity for the optimized VID, VID controlled via an MPC controller, and VID controlled via the proposed lead compensator. Eigenvalues, Bode plots, and time-domain simulations are presented to validate and compare the dynamic frequency stability of the three systems.
14:15 Partial Discharge dtection and analysis using conventional and high frequency current transformer (HFCT) methods
Musaab Mohamed Salih (Khalifa University, United Arab Emirates)
Electric power equipment and devices such as power cables and transformers operate under a multitude of electrical, thermal, mechanical, and environmental stresses. As a result, electrical insulation which forms an important component of these equipment, may degrade after long exposure to such operational stresses, making it even more critical in terms of reliability and durability. researchers in the field of diagnosis and insulation assessment are focusing on new methods of partial discharge (PD) measurements. In this work, two electrical methods for partial discharge measurement will be applied to detect PD events, and phase resolved partial discharge plot (PRPD) will be used to distinguish between three types of discharge i.e., corona, surface, and cavity discharge.
14:30 Analysis of New Compact Cuk-Derived Bridgeless DCM Single-Phase Rectifier
Abass Afolabi Yahaya (Khalifa University, United Arab Emirates); Vinod Khadkikar (Advanced Power and Energy Center (APEC), United Arab Emirates); Hatem H Zeineldin (Khalifa University & Advanced Power and Energy Center, United Arab Emirates)
A new, very compact and efficient bridgeless single-phase Cuk-converter-derived rectifier with capability of power-factor correction is proposed. The new converter contains a minimal number of semiconductor devices and other circuit components as compared to most of its competitors, hence, it is highly efficient. The branch currents have no more than two semiconductors in its loop leading to less conduction losses. The converter is designed to operate in discontinuous conduction mode (DCM) which helps to easily achieve unity power factor with respect to the input grid voltage. The three modes of operation are analyzed including the boundary between the continuous conduction mode (CCM) and DCM.
14:45 Silicon Solar Cell Enhancement by 2D-MoS2
Muntaser Al-Mansoori and Ammar Nayfeh (Khalifa University, United Arab Emirates)
MoS2 is a promising 2D material for solar energy harvesting applications due to its size-dependent tunable bandgap and attractive magnetic, optical, and electrical properties. This study shows an easy way to deposit a 2D layer of MoS2 nanoparticles on top of AZO/Quartz, AZO/Si, and bare Si. We investigate their UV-Vis spectral responses and potential for application in optoelectronic systems. Initial results indicate modification of the absorption spectrum over the UV-Vis range with an evident increase in the higher visible and lower UV range.
15:00 Novel Integrated NLC-SHM Control applied on PUC-7 Inverter and its Simulation Analysis
Shahbaz Ahmad Khan and Naji Al Sayari (Khalifa University, United Arab Emirates); Vinod Khadkikar (Advanced Power and Energy Center (APEC), United Arab Emirates)
In this research article, an innovative integrated Selective Harmonic Elimination-Nearest Level Control (SHM-NLC) control has been applied on PUC-7 inverter, to effectively eliminate the lower order harmonics. This control is the hybrid of NLC and SHM methods, formed to keep the advantages of both controls. In this proposed method range of lower order harmonics up to 49th harmonics are mitigated considerably from the load voltage. The optimum switching angles and the nearest levels are calculated by the application of the PSO algorithm. The time to implement as well as the calculation time can be reduced by the applying SHM-NLC method by reducing the complexity. This technique ultimately results in a considerable reduction in the total harmonic distortion(THD) in the load voltage and load current. Comparative analysis of SHM, NLC and integrated NLC-SHM has been performed on the PUC-7 inverter.
14:00 - 15:30
EPS-D2-S2: Industrial Engineering, Business & Management Room 6
Chairs: Rehab Anwar Sajwani (British University in Dubai, United Arab Emirates), Khaled M Toffaha (Khalifa University, United Arab Emirates)
14:00 Acute Kidney Injury Prediction and Management: A Systematic Literature Review
Dima T Al Absi and Mecit Can Emre Simsekler (Khalifa University of Science and Technology, United Arab Emirates); Mohammad Omar (Khalifa University, United Arab Emirates); Siddiq Anwar (Sheikh Shakhbout Medical City, United Arab Emirates)
Acute Kidney Injury (AKI) prevention and management is essential to improve patient outcomes and reduce health-related costs. In this paper, we review existing AKI risk prediction models (RPMs). Findings indicate the need to build a reliable prediction model to diagnose and stage patients at high risk of AKI incidence in all hospital settings. Future work should focus on assessing the clinical impact of the model on patient outcomes.
14:15 Machine Learning in Predicting and Preventing Patient No-show: A Comprehensive Review
Khaled M Toffaha (Khalifa University, United Arab Emirates); Mecit Can Emre Simsekler (Khalifa University of Science and Technology, United Arab Emirates); Mohammad Omar (Khalifa University, United Arab Emirates); Imad Elkebbi (Sheikh Shakhbout Medical City, United Arab Emirates)
Background: No-show appointments cost healthcare facilities time and money and disrupt the continuity of patient care. Therefore, healthcare providers have been seeking ways to reduce missed patient appointments.
Objective: This paper comprehensively reviews machine learning (ML) applications for appointment no-show prediction. It includes a systematic literature review and bibliometric analysis.
Results: The search yielded 85 articles, 44 of which were included in the review. The years of publication spanned from 2010 to 2022, with 32% of studies taking place in the US.
Conclusions: The reviewed papers succeeded in proving that prediction of hospital appointment noshows is possible using data pulled from the Electronic Health Records, as most of the studies provided accuracy measures exceeded 62%; however, this problem remains challenging as additional patientrelated demographics and clinical as well as provider-related data and characteristics are needed to study the correlation between the different features to reach to an optimal prediction model.
14:30 A Comparison of Sustainable Healthcare Systems in the UAE and the European Union
Rehab Anwar Sajwani (British University in Dubai, United Arab Emirates)
As healthcare systems face continuous challenges, sustainability is viewed as a critical prerequisite for long-term viability. This study examines sustainable practices in healthcare, with the aim of compiling all relevant research and comprehending the study dimension and strategies through conducting a systematic mapping investigation. The paper emphasizes the significance of a comprehensive approach to comprehend the measurements and challenges of the United Arab Emirates and European Union.
14:45 Artificial intelligence for sustainability development in healthcare
Rehab Anwar Sajwani (British University in Dubai, United Arab Emirates)
Digital technology is frequently employed in the healthcare sector to innovate and add value. This study examines artificial intelligence-based technologies implementation in the healthcare industry and provides a review of publications on how it has aided the healthcare sector in meeting sustainable development goals. Emphasizing the significance of artificial intelligence implementation in healthcare and further facilities’ implementation of sustainable development goals and health-related sustainable development goals. It further revealed the useful role that artificial intelligence plays in the post-Covid era. The method is based on a systematic mapping review of 40 papers acquired from the Scopus and British university in Dubai library databases.
15:00 A Review of Operations and Maintenance of Photovoltaic Systems
Hind Abdulla, Andrei Sleptchenko and Ammar Nayfeh (Khalifa University, United Arab Emirates)
One of the most prominent renewable energy generation technologies used in the world today is solar energy. However, the technology has drawbacks and needs continuous maintenance to maintain high efficiency, prevent malfunctions, and prevent generation downtime. The strategies and techniques for minimizing the various solar PV system faults are reviewed in this work. Additionally, a Reliabilitycentered Predictive Maintenance approach based on Artificial Intelligence techniques is proposed to improve performance and lower maintenance costs resulting from unnecessary inspections.
15:15 Evaluation of FinTech and Cybersecurity Startups in the GCC Venture Capital Market
Yaser Hamza Ali Rahma (University of Bahrain & Bahrain Chamber of Commerce, Bahrain); Adel Ismail Al-Alawi (University of Bahrain, Bahrain)
FinTech investment will reach hundreds of billion dollars by 2022. Gulf Cooperation Council (GCC) venture capital (VC) firms also invest in FinTech. Bahrain, as a government initiative, established Bahrain FinTech Bay to attract FinTech startups from all over the world. VC investments in FinTech and Cybersecurity startups accounted for more than half of the total in 2018. The area of cybersecurity and financial payments is one of the most significant aspects of FinTech. We seek to answer the following question: What are the key success factors for startups? In this paper, a literature review is conducted in order to identify the main success factors. Research models have been proposed for future research.
14:00 - 15:30
EPS-D2-S2: Mechanical Engineering Engineering, Information Technology & Physical Sciences
Room 7
Chairs: Shiza Ahmed (Khalifa University, United Arab Emirates), Ussama Ali (Khalifa University, United Arab Emirates)
14:00 Upper Body Mass Distribution & Centers of Mass for Subject-Specific Female Full-Body Musculoskeletal Base Model Development
Abdul Aziz Vaqar Ahmed Hulleck (Khalifa University, United Arab Emirates); Tao Liu (University of Alberta, Canada); Kinda Khalaf and Marwan El-Rich (Khalifa University, United Arab Emirates)
Studying obesity, post-stroke motion dysfunction and quantifying the alterations in musculoskeletal system (MS), is vital for post-stroke rehabilitation and rheumatic diseases prevention and treatment. MS model simulations allow noninvasive prediction of muscle forces and joint loads were created using male cadaveric data and uniform scaling algorithms, hence, are unable to study female subjects and their subject-specific prediction is questionable. This study proposes an automated technique to compute segmental masses and centers-of-mass (CoM) of the Visible Human Female subject using cross-section images. This method together with our body shape prediction tool will allow computation of subject-specific mass distribution to be used in development of personalized female full-body MS model. Segmental mass increases from 843gms at T1 to 1668gms at L5, and distance from vertebral center increased from T1-T9 decreased T10-T12, increased L1-L3, and decreased L4-L5. One-way ANOVA revealed no difference between computed and measured total mass vertebral-level and distance from vertebral-center.
Ussama Ali, Md Islam and Isam Janajreh (Khalifa University, United Arab Emirates)
The heat transfer and wake-induced vibrations of a circular cylinder in the wake of another identical cylinder are numerically studied in this work at Reynolds number (Re) = 100. The downstream cylinder is allowed to oscillate in two degree of freedom. The spacing ratio (L/D) between the cylinders is varied from 1.5 - 6 covering the major regimes, i.e., single body, reattachment, and co-shedding. The coefficients of lift (CL) and drag (CD), vibrational amplitudes of the cylinder, Nusselt number (Nu), and vortex shedding patterns are studied. The results indicate that the lock-in zone is the widest for the co-shedding regime at L/D = 6. Mostly, the 2S and C(2S) vortex shedding pattern is observed whereas steady flow and chaotic pattern emerged in a few cases. With increasing L/D the average Nu for both upstream and downstream cylinders increase.
14:30 Predicting the dry hydrodynamic performance of RPB using microscale modelling
Ahmed Mongy Alatyar (Khalifa University, United Arab Emirates); Abdallah Sofiane Berrouk (Khalifa University & SAN Campus, United Arab Emirates)
In this work, a single-phase CFD model that has a similar structure and dimensions to the available experimental data from the literature review is presented. Then, validation of our proposed numerical model is carried out with the pressure drop data available. The gas flow characteristics in the packing region are being analyzed. Moreover, a simplified analytical model has been derived to mimic the impact of wire mesh packing on the gas flow behavior. This simplified approach is used to verify the viscous and inertial resistance models, which have been widely used in macro-scale modelling of RPBs, in the different packing regions.
14:45 Dissimilar friction stir welding of Al5052 and PP at different welding conditions using a new tool design
Ahmed I Alhatti and Jamal Sheikh-Ahmad (Khalifa University, United Arab Emirates)
Friction stir welding (FSW) is an ecofriendly welding method that utilizes a non-consumable tool to weld dissimilar materials. The demand for lighter, cost-efficient, eco-friendly, high durability, reliable and safe structures puts complex hybrid structures made of metal-polymer under the scope. Integrating several materials properties to form specific features, is the solution to realize modern applications demand. The lack of research on joining methods for AA5052 and Polypropylene (PP) encouraged this research to cover the dissimilar friction lap welding of aluminum and polymer while having the aluminum on top. Improper mixing due to the lack of penetration can be resolved with a novel tool pin design focused on stress point accompanied with features that helps in mixing and forming mechanical interlocks. This study will investigate the performance of the tool pin design of the threaded flute on the weld quality by varying rotational speed and welding speed.
15:00 Hybrid Hydraulic Engine Mount
Aamna Alteneiji (Khalifa University, United Arab Emirates); Nader Vahdati (Thesis Advisor, United Arab Emirates)
Hydraulic engine mounts are used to improve noise isolation and due to their varying stiffness characteristics with amplitudes compared with conventional elastomeric mounts. With small engine amplitudes, lower stiffness is required to reduce the transmitted vibration to the vehicle. While for significant excitation, it is desirable to have higher stiffness to limit the engine motion in the vehicle structure. Decouplers are added to the hydraulic mounts to provide dual stiffness characteristics. However, they can be unreliable due to their ability to rotate and stick to the decoupler cage bound. This paper presents a new hydraulic engine mount design with a nonlinear spring that will replace the decoupler. The proposed engine mount will be numerically modeled, and MATLAB simulations will be carried out to model the dynamic stiffness of the engine mount.
Shiza Ahmed, Marwan El-Rich and Lianxi Zhengg (Khalifa University, United Arab Emirates)
Diabetic Foot Ulcers (DFU) are one of the common foot problems that affect the diabetic population. Due to tissue damage increasing and spreading over time, the earlier a DFU is identified, the higher the chances of recovery of the patient. This paper presents a multifunctional sensor design to be implemented for use on the foot. An AI model is also discussed to process the response of each material used and identify the pressure, temperature, and hydration it is resulting from.
14:00 - 15:30
EPS-D2-S2: Mechanical Engineering & Materials Science Engineering, Information Technology & Physical Sciences Room 2
Chairs: Ahmad Majid Salem Soliman, Soliman A. (Khalifa University, United Arab Emirates), Kareem F Younes (Khalifa University, United Arab Emirates)
14:00 Compressive Properties of Functionally-graded sheet-Triply Periodic Minimal Surface Lattices
Chukwugozie Jekwu Ejeh and Rashid Abu-AlRub (Khalifa University, United Arab Emirates); Imad Barsoum (Khalifa University-ADAM Center, United Arab Emirates)
The influence of topology hybridization on the compressive properties of the mathematically-known triply periodic minimal surface (TPMS) lattice was studied in this paper. The diamond (D) and F-Rhombic Dodecahedral (FRD) lattice structures comprising each of 8 cells were considered. The sandwiched geometries were numerically subjected to a quasi-static compressive force until densification was reached. The energy absorbed and the metamaterial's ultimate strength was estimated. The results revealed that by hybridizing the D lattice with the FRD structure, the specific energy absorbed and ultimate strength of the D lattice were improved.
14:15 Fabrication of High-Quality Hexagonal Diamond using New Novel Electro-Chemical Deposition Technique
Ahmad Majid Salem Soliman, Soliman A. (Khalifa University, United Arab Emirates); Daniel Choi (Khalifa University of Science and Technology, United Arab Emirates)
Diamonds are well known by their high stiffness compared to any other materials in nature. Diamonds are found naturally and most commonly in cubic crystalline, while the hexagonal crystal structure of diamond is rarely found in nature and form under different conditions. Previous studies indicated that hexagonal diamonds, sp3 forms, are 58% stiffer and harder than cubic diamonds. In this work, we synthesize hexagonal diamonds at room temperature using electro-chemical deposition of carbon-rich solution on pre-deposited material with same crystal system without the pressure required to form the diamond, enables hexagonal diamond synthesized more easily. The cobalt nanowires of high density were grown in anodized aluminum oxide nanoporous template by applying direct current (DC), a carbon-rich solution electrochemical process to produce high quality hexagonal diamonds at top of cobalt nanowires. Finally, characterization of deposited hexagonal diamonds is carried by microscopy imaging and their mechanical properties by atomic forces microscopy.
14:30 Optical Modelling of Concentrated Solar Parabolic Dish: Comparison of Ray Tracing Algorithms Muhammad Abdullah and Nicolas Calvet (Khalifa University, United Arab Emirates)
The design of a solar concentrator is critical for the overall efficiency and initial investment of a concentrated solar power plant. From the 1970s, various solar-specific codes were developed to optically model solar concentrators. There are also general-purpose codes available that have the potential to be used for the design of new solar concentrators. In this regard, a comparison of solar-specific (SolTRACE and Tonatiuh) and general-purpose (TracePro) codes is made by simulating an 8.5 m in diameter DISTAL-2 parabolic dish. The codes were compared based on peak flux value at the focal plane and processing time. It was concluded that TracePro is a suitable code for the simulation of new solar concentrators that cannot be modelled in solar-specific ray tracing codes.
14:45 Experimental Characterization of a Tracking-Integrated Transmissive High Efficiency CPV Technology
Kareem F Younes and Matteo Chiesa (Khalifa University, United Arab Emirates)
Over the past decade, the concept of integrating sun-tracking mechanism in the CPV module itself, increased the potential for realizing high power densities in high-value applications where the CPV modules are installed at fixed orientation similarly to conventional PV. In addition to increasing the overall solar utilization to transmit the unconcentrated, diffuse solar component for thermal storage or for illumination of buildings and greenhouses. To characterize the performance of the novel technology electrically, optically, and thermally under the harsh climate of the UAE, a test rig was constructed and located in MASDAR Field Station. Results of the experiment are then used to simulate the performance by means of a semi-empirical model and assist in the design of a greenhouse utilizing an array of the modules.
15:00 Microchannel with nanofluids for cooling of electronic systems
Muhammad Mustafa Generous (Khalifa University, United Arab Emirates); Anas AlAzzam (Khalifa University of Science and Technology, United Arab Emirates); Eiyad Abu-Nada (Khalifa University, United Arab Emirates)
Electronics gadgets and chips are becoming smarter with each passing day and generating more heat due high-performance characteristics. Therefore, conventional air cooling is no more sufficient, and it requires innovative methods. The current study is focused on the electronics cooling using nanofluids with microchannel configuration. It is of great significance to assess and quantify the effect of various parameters on the heat transfer enhancement. Primarily, it will be achieved using Lattice Boltzmann model in combination with immersed boundary method. C++ plus programs is developed for various benchmark cases such as lid-driven cavity and differential heated cavity, as a preliminary step. The modelling of nanoparticles will be achieved using immersed boundary method in combination with Lattice Boltzmann method. The study will be concluded with experimentally validating the CFD results.
15:15 Numerical
Mohamed ElKhodbia (Khalifa University of Science and Technology, United Arab Emirates); Imad Barsoum (Khalifa University-ADAM Center, United Arab Emirates)
Sour service conditions in the oil and gas industry, characterized by the presence of hydrogen sulfide (H2S), can lead to sulfide stress cracking (SSC) in high tensile stress areas. SSC, a form of hydrogen embrittlement caused by the diffusion of atomic hydrogen into metals in the presence of wet H2S. To evaluate a material's resistance to SSC, several testing methods have been developed, including the double cantilever beam (DCB) test, which measures the material's resistance to SSC in terms of the critical stress intensity factor. This study aims to use FEA and the virtual crack closure technique (VCCT) to simulate crack growth in NACE TM0177 DCB test and compare it to the standard. FEA results showed good agreement with the equation provided in the standard, demonstrating the potential for FEA and VCCT to accurately predict SSC behavior and design for improved performance in sour service conditions.
14:00 - 14:45
Poster-D2-S2-A: Poster Session - 2A
All Tracks
Room: Ballroom 3&4
Chairs: Samar N Abd Elwadood (Khalifa University, United Arab Emirates), Nada AbuHamra (Khalifa University of Science and Technology, United Arab Emirates), Omar Ahmed Al-Mufti (Khalifa University of Science and Technology, United Arab Emirates)
Understanding the impact of pores-trapped air on liquid entry pressure in direct contact membrane
Yongjie Liu (Khalifa University, France); Ludovic Dumée, Hassan Arafat and Hongxia Li (Khalifa University, United Arab Emirates)
In this study, we elucidate and quantify the complex wetting process and the evolution of the morphology of the liquid-gas interface in DCMD. First, we developed a model of a force balance on the air inside the membrane pores, which considers the hydraulic pressure of feed and distillate sides and Laplace pressure caused by the curved liquid-gas interface while using Boyle's Law to calculate the initial and eventual air pressure and volume. Then, we calculated the LEP using this new model. Experiments with varying pore sizes and hydraulic pressures were carried out to validate the new model. Lastly, thermodynamic analysis was utilized to provide insights into the stabilities of the system and the rationality of this method. The results indicate that a more hydrophobic membrane on the feed side but less hydrophobic on the distillate side will give a better anti-wetting performance in DCMD.
Design of low-thrust interplanetary trajectories based on three-dimensional logarithmic spirals
Burhani Makame Burhani (Khalifa University, United Arab Emirates); Elena Fantino (Khalifa University of Science and Technology, United Arab Emirates); Roberto Flores (The International Centre for Numerical Methods in Engineering (CIMNE), Spain); Ashraf N. Al-Khateeb (Khalifa University, United Arab Emirates)
This study proposes a new strategy for solving three-dimensional low-thrust multi-gravity assist problems using a two-step approach. In Step 1, a three-dimensional model based on generalized logarithmic spirals is used with heuristics in conjunction with gradient-based solvers to perform an automated multiobjective global search of trajectories and optimizing the parameters defining the spirals, launch date, as well as number, sequence, and configuration of flybys. In Step 2, candidate solutions are refined by optimizing further with a direct method. Results show that the strategy implemented in Step 1 in this study leads to better estimates of the optimal trajectories to target bodies with moderate and high inclination with respect to the ecliptic plane, resulting in faster convergence of Step 2 compared to similar algorithms based on two-dimensional models.
Mohamed AlRayes (University of Bahrain, United Arab Emirates)
Sports-Related Sudden Cardiac Death (SSCD) is a leading cause of mortality in the athletic population. It is substantially higher in specific populations such as males, African-Americans, athletes, and people with genetic and familial factors. Cardiovascular pre-participation screening can be lifesaving. Locally, the total number of reported SSCD cases in Bahrain between 2009 and 2019 was 24 cases (less than 0.001% of the population). Nevertheless, there are no officially released data or standardized recommendations about the screening protocols in Bahrain or the local region to the best of the researcher's knowledge.
Riffat Amna (Khalifa University, United Arab Emirates); Saeed Alhassan (Khalifa University of Science and Technology, United Arab Emirates)
The purpose of this computational study is to analyze of mercury adsorption for porous sulfur copolymers. Two porous materials, poly (sodium 4-styrene sulfonate) and sodium chloride-based sulfur foams, used in comparison with elemental sulfur to effectively adsorb the mercury from wastewater. The various process parameters examined, such as mercury ion concentrations, the volumetric flow rate of wastewater, temperature, and the porous material thickness of adsorbent material optimize the process conditions at high adsorption capacity and predict the circumstances for the industrial level. The computational results are validated with the experimental results and predicted the relevant results by varying the process parameters.
Marwan Mohamed (Khalifa University, United Arab Emirates); Anas AlAzzam (Khalifa University of Science and Technology, United Arab Emirates)
Electrical properties of living cells have been proven to play significant roles in understanding of various biological activities including disease progression both at the cellular and molecular levels. Single cell analysis can analyze in depth the cell behavior to distinguish between healthy cells and cancer cells. In this paper, a microfluidic device will be used where two paths will be used for the cell one without the Reduced Graphene Oxide (RGO), and one with to try to detect the cell behavior in the two cases.
Remilekun A Shittu (Khalifa University & None, United Arab Emirates); Akram Alfantazi and Tae-Yeon Kim (Khalifa University, United Arab Emirates)
The effect of temperature gradient on chloride ion diffusion in reactor containment building exposed to saturated NaCl solution was studied experimentally and analytically. Concrete samples of three different water-to-cement ratios were subjected to isothermal conditions at 22 °C and 50 °C, and to temperature gradient (TG) condition at 50 °C for 30 days. Results show that the chloride ion contents at TG condition are 1.4 to 1.8 times higher than the isothermal conditions. Furthermore, the chloride content increases as the water-to-cement ratio increases. The Thermodiffusion coefficient also increases by 13.33 % and 32.35 %, respectively when the water-to-cement ratio increases from 0.45 to 0.55, and then to 0.65.
Re-configurable Switched Capacitor DC-DC Converter
Leen Younes (Khalifa University & System on Chip Center, United Arab Emirates); Baker Mohammad (Khalifa University, United Arab Emirates); Mahmoud Al-Qutayri (Khalifa University,United Arab Emirates); Dima Kilani (The University of British Columbia, Canada); Hani Saleh (Khalifa University, United Arab Emirates)
The proposed switched capacitor DC-DC converter has four modes of operation with a pulse frequency as well as switch width modulation. To improve the power efficiency, bypass mode is introduced. Hence at gain 1, the switched capacitor is bypassed and no switching occurs. Furthermore, switch modulation is implemented where the width is selected based on the changes in the workload. The width is reduced for lower loads to reduce leakage power. The design is simulated using cadence virtuoso in 22-nm FD-SOI technology. It covers a voltage range of 0.4V - 0.8V and is capable of supporting up to 100mA. The achieved power efficiency peaked at 99% at bypass mode and reached 78%at lowest.
Energy analysis of Catalytic Cracking of Methane to Carbon and Hydrogen
Adeel Ahmad (KU, United Arab Emirates); Ahmed Al Shoaibi and Srinivasa Chandrasekar (Khalifa University, United Arab Emirates)
Catalytic Methane decomposition (CMD) process is considered environmentally benign as compared to Steam Methane Reforming (SMR) as it produces valuable hydrogen and carbon without greenhouse gas emissions, utilizing far lower energy. This study presents the zero-energy CMD process through an integrated catalyst regeneration system that potentially contributes to the sustenance of catalytic activity. The net carbon emissions of the CMD process with catalyst regeneration are compared with the SMR process. The process is simulated using a Gibbs reactor (RGIBBS) on Aspen Plus, integrated with the combustor. Considerably lower carbon dioxide emissions were observed for the zero-energy CMD process as compared to the SMR process at the same operating temperatures.
Yassmin Abdi Ismael, Kean Wang and Ali Al Hammadi (Khalifa University, United Arab Emirates)
A novel chitosan-based polymeric adsorbent was synthesized using phase-inversion and ion-imprinting technology for the adsorption of trace amounts of iodide ions from an aqueous solution (nuclear wastewater). Batch adsorption experiments were conducted to evaluate the adsorption performance and efficiency, along with the effect of ionic strength and the coexistence of other ions. The results indicated a maximum adsorption capacity of Iodide imprinted chitosan beads of 0.6418 mmol/g, and a maximum adsorption efficiency of removing 41% of the total iodide ions in the solution at pH 7 and room temperature. The ionic strength and coexistence of other anions were found to play no significant effect on the adsorption capacity.
Abdulla T Alhourani, Fahad Almaskari and Kamran Khan (Khalifa University, United Arab Emirates) Temperature distribution in friction stir welding of high density polyethylene was evaluated through thermal modelling by the integration of the polymer melt viscous characteristic formulations with the solid state heat generation involving the process and geometrical parameters. Such conditions are between the workpiece and the straight cylindrical pin under the situation of a stationary flat shoulder. This is in efforts to predict and validate the induced heat and temperature histories across the thick plates.
Batoul Mohsen and Imran Afgan (Khalifa University, United Arab Emirates); Maryam Rashed AlShehhi (Khalifa University, Civil, Infrastructure and Environmental Engineering & MIT, United Arab Emirates) In this paper, the purpose of this project is to use the software StarCCM+ is to study the flow in a spcific cimpoutational domain. This project is divided into two parts, the first part is to investigate the laminar flow around three types of meshes for the same computational domain. This includes, block structured mesh, Pave unstructured mesh and the Tetra mesh, investigating how the pressure drop coefficient, recirculation length, bulk velocity and bulk reynolds number changes with the different meshes. The second part is to investigate the effects of k-�� and reynolds stress turbulence models on the block mesh and to look into how the pressure drop coefficient and recirculation length changes by increasing the reynolds number for the two turbulent models.
Optimal Well-Spacing in Shale Unconventional Reservoirs
Mohamed Elbary (Khalifa University, United Arab Emirates)
Over the past few years, there has been a rise in interest in unconventional resources. Historically, the industry has employed a trial-and-error method to optimize well spacing with substantial resources. Some studies assert that optimal well spacing is solely a function of fracture half-length with NPV as the objective function, while others stress the importance of other factors such as reservoir properties and completion design. Developing a model to estimate the optimal well spacing range could save operators countless hours of simulation time and millions of dollars by preventing the installation of unnecessary wells. The objective of this study is to develop a model for estimating the optimal well spacing range. Using commercial software, the accuracy of the model will be evaluated using an unconventional reservoir model. In conclusion, a parametric study and sensitivity analysis will be conducted to quantify the effect of and determine the most crucial parameters.
Muhammad Ashraf Sabri, Bharath Govindan, Abdul Hai and Mohammad Abu Haija (Khalifa University, United Arab Emirates); Fawzi Banat (Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates)
Electrochemical hydrogenation of furfural (model bio-oil compound) is an efficient and environmentally friendly process for converting biomass derivatives into biofuels, especially by using renewable electricity and hydrogen derived from water. Palladium-nickel-boron alloyed nanoparticles with carbon supports were prepared and characterized by various analytical methods. The high electrocatalytic activity and structural stability of PdNiB/C make it a suitable catalyst for the electrochemical conversion of furfural into furfural alcohol with high conversion and selectivity. The process can be carried out at ambient conditions and in an acidic medium. It was found that the yield, selectivity, and faradic efficiency for the conversion of furfural strongly depend on the catalyst support, catalyst loading, potential, reaction conditions (e.g., pH), and residence time.
Mary Krystelle Catacutan, James McElhinney and Jorge Dias (Khalifa University, United Arab Emirates); Ayesha Al Marzooqi (Khalifa University of Science and Technology, United Arab Emirates)
Oil contamination is a common environmental disturbance that harm the ecosystem and human health. It is essential to promptly diagnose such perturbations, especially small-scale spills that could cause a major catastrophe. Microbial communities shift rapidly in response to environmental changes, making them ideal biomarkers. While machine learning (ML) can identify patterns in complex datasets, little research has been conducted to demonstrate ML's performance in diagnosing environmental contamination using biomarkers. As a first step toward diagnostic ML tools for environmental monitoring, processing of microbial input data must be investigated. In this paper methods for normalizing compositional data and various ML classification models were examined. Using the first global microbial community metadataset, this study demonstrates that prediction of oil contamination status can be accomplished with ML, overcoming confounding factors arising from experimental particulars. Furthermore, microbial fingerprints of oil contamination were identified and are in general agreement with studies conducted at smaller scales.
Yoel Michael Habteghebriel (Khalifa University, United Arab Emirates)
Earthquakes are one of the major sources of collapses of civil engineering structures and bridges are among them, making their study and performance under seismic actions imperative. Previously bridges were designed to have end joint gaps larger than what is required from codes like Eurocode 8-2 (or EC8-2). The response of bridges to seismic actions greatly depends on boundary conditions and gaps are one of them. Closure of gaps in the longitudinal direction activates the abutment-backfill systems at the bridge ends, while gap closure in the transverse direction activates shear keys. Appropriate selection of gaps will make the performance of bridge optimum. In this study optimum gap sizes for different earthquake intensities and performance levels will be designed for a typical overpass bridge. Analysis will be carried out non-linearly using seismic response history analysis for several ground motions with the aid of the software SAP2000.
MONDAY, MARCH 20
Fracture Sensor using Piezoresistivity of Graphene Paper and rGO coated Fabric
Mohamed Salman Sikandar Bathusha and Kamran Khan (Khalifa University, United Arab Emirates)
Self-sensing health monitoring system is developed in this work by embedding a thin layer ('paper') of Graphene nanoplatelets (GnP) or fabric sensor (rGO). The integrated composite laminates were manufactured using a VARTM technique. The failure of GnP integrated composite is due to the delamination of compressed paper on DCB test. In-situ damage sensing is implemented to monitor the structural health of composite laminates under loading, simultaneously signals were analyzed.
Deep LSTM Multi-input-multi-class based Power System frequency forecasting
Abdullahi Oboh Muhammed and Mohamed Shawky El Moursi (Khalifa University, United Arab Emirates)
This paper proposes a deep learning model for estimating power frequencies at varying dynamic conditions of the power system. To achieve this, an LSTM network is built to accurately predict system generators' multiple frequencies before, during and after contingencies. On average, the model achieves over 99.2% prediction accuracy. Thus, the model can be used for adaptive power frequency control.
Optimal Location of Fast Electric Vehicle Charging Stations
Mayar Mohsen Madboly (United Arab Emirates); Hatem H Zeineldin (Khalifa University & Advanced Power and Energy Center, United Arab Emirates); Tarek EL-Fouly and Ehab El-Saadany (Khalifa University of Science and Technology, United Arab Emirates)
The integration of renewable energy sources in the electrical grid brings along several benefits but also creates many challenges. One of the important assets in smart grids is the presence of flexible loads such as electric vehicle (EV) loads which enables better grid operation and control. EV loads can help mitigate the intermittent nature of renewable energies if they are adopted in adequate amount, but their volume to date is not sufficient. To promote wide EV adoption much faster, a strong EV charging infrastructure is needed. However, the locations of charging stations on the distribution and the transportation networks affect networks performances.
Maryam Ali Abu Alfateh, Adel Ismail Al-Alawi and Amal Alrayes (University of Bahrain, Bahrain)
The study aims to showcase the Educational Data Mining techniques used in predicting students' performance and the factors that influence students' performance prior to admission. This study conducts a systematic literature review and selects 11 papers published between 2018 and 2022. The results showed that 13 Educational Data Mining techniques are used to support the admission process in higher education institutions and predictive models are developed using Machine Learning Algorithms. Moreover, the study found 35 factors that predict the performance of students prior to admission and revealed 10 recommendations and future studies for the admission process.
Mohammed Ali AlDhuhoori (Khalifa University of Science and Technology, United Arab Emirates)
This research effort aims at addressing the Geo-mechanical aspect of hydrogen underground storage. The idea is to simulate several injection and production cycles of vast amounts of hydrogen into a reservoir that is saturated primarily by saline formation water (aquifer) under certain conditions to assess caprock integrity and its failure criteria using Mohr-coulomb criterion. Mohr-coulomb criterion is used by introducing cohesion forces, Young's Modulus, Poisson's Ratio variables. In this study, several cycles of hydrogen injection and production seasonal periods are implemented which resulted in cyclical pressure changes on rocks (including stress-strain effect on mechanical behavior of caprocks) and multiple chemical interaction of hydrogen on intact rocks. During the production period, the pore-pressure decreases and the pore volume decreases drastically resulting in a reduced possibility of rock failure. As for the injection period, the pore-pressure increases and the pore volume increase which resulted in the stress path, moving towards failure envelope.
Surface and Structural Characteristics of Titanium Dioxide Thin Films Prepared from Various Molar Ratios of Titanium Isopropoxide to Acetylacetone
Abdulla Al Shemeili (Khalifa University, United Arab Emirates)
TiO2 thin films optical and electrical properties have been the interest of recent studies. In this paper, TiO2 films have been produced through spray pyrolysis using different molar ratios of Titanium Isopropoxide (TTIP) to Acetylacetone (AcacH) ranging from 1:1 to 1:20 on a borosilicate glass substrate at 350 ºC. Surface and Structural Characteristics of TiO2 thin films have been characterized using SEM, XRD and Raman Spectroscopy. The thin films had consistent thickness and clear anatase phase. As more (AcacH) been added, there has no effect on the surface and the overall structure, consequently more advanced tools are required to find any difference.
A Density Functional Theory Study of Screening Transition Metal Doped on CdS Photocatalyst for Hydrogen Evolution
Yuting Li, Daniel Bahamon and Lourdes Vega (Khalifa University, United Arab Emirates)
The extraction and combustion of traditional fossil fuels generates vast amounts of greenhouse gases contributing to climate change. Problems derived from climate change dictate the reestablishment in energy production and utilization. In this direction, converting solar energy through photocatalysis into suitable fuels such as hydrogen by H2S splitting and water splitting is an intriguing strategy to alleviate energy crisis and environmental problems. It is essential to understand how to improve the solar light utilization and conversion efficiency based on existing materials, or searching for alternative ones. A novel computational screening study of single transition metal (TM), TM-doped, and dual TMs-doped on CdS (110) surfaces via DFT calculations is presented, focusing on their stability and catalytic activity, searching for efficient photocatalysts for hydrogen production.
Multiple Input Multiple Output Intelligent Reflecting Surfaces Channel assignment optimization
Leake Kahsay and Shimaa Ayman Naser (Khalifa University, United Arab Emirates); Lina Bariah (Technology Innovation Institute, United Arab Emirates); Sami Muhaidat (Kahlifa University, United Arab Emirates)
6G is envisioned to support a plethora of services and applications and is connected to more than 10 million devices per kilometer square. This would mean that technologies such as Intelligent reflecting surfaces (IRS) and optimum channel assignment schemes are needed to increase achievable rates and ensure fairness. This paper tries to derive a channel assignment scheme using binary linear programming for a base station and users downlink connection that employs IRS. Results show that a 50% percent improvement in performance is achieved by the overall sum rate by using our derived channel assignment compared to random average allocation. The achievable sum rate performance when the number of users varies and when IRS phases shift optimization is used are also investigated
Municipal Solid Waste Management and Energy Generation: A Case Study of Eastern Province in KSA
Jawaher Al Dughaither and Ahmed Abdalla (University of Bahrain, Bahrain)
Waste management is a serious issue in the Kingdom of Saudi Arabia (KSA). Municipalities in the KSA get rid of waste in landfills, and sustainable development goals must be applied. This research paper is about municipal solid waste management (MSWM) in the Eastern Province (EP), development of a waste-toenergy (WTE) plant, and how the type of municipal solid waste (MSW) in the KSA affects the selection of technologies. A feasibility study was conducted for market analysis, social analysis, economic analysis, and environment analysis. The market analysis shows that 50.60% of waste generated is food waste((FW) and 17.40% is plastic waste. The case study location was selected from four cities by the weighted scoring method and chosen as Al Rakah Al Shamaliyah City. A pilot study (PS) was conducted with EP municipality and the Saudi Council of Engineering (SCE). Eleven responses have been considered. Also, an online interview was done with the top management of EP Amana (waste management department). An online questionnaire was distributed to 379 individuals in Al Shamaliyah City to measure the socioeconomic, institutional, and environmental parameters of the region. The results were analyzed using the Statistical Package for the Social Sciences (SPSS) and Microsoft Excel. Following analysis of the PS, interview, and questionnaire results, a new and improved WM process plant in Al Rakah Al Shamaliyah was proposed.
Design and Performance Evaluation of NOMA-OFDM Systems with Time-Domain Interleaving Welelaw Yenieneh Lakew and Arafat Al-Dweik (Khalifa University, United Arab Emirates); Mohamed A Abou-Khousa (Khalifa University of Science and Technology, United Arab Emirates)
Recently, the hybrid use of non-orthogonal multiple access (NOMA) and orthogonal frequency division multiplexing (OFDM) multicarrier modulation technique is a promising multiple access scheme for future wireless communication networks. In this paper, the bit error rate (BER) performance of a downlink power domain NOMA-OFDM system with time-domain interleaving (TDI) over frequency selective Rayleigh channel is evaluated using zero-forcing (ZF) and minimum mean squared error (MMSE) equalizers for an arbitrary number of users. The Monte Carlo simulation results show that the proposed NOMA-OFDM-TDI system with MMSE equalizer has better BER performance compared to the conventional NOMA-OFDM system without TDI.
Index Terms-OFDM, NOMA, equalizer, interleaving
Solid-phase extraction of clarithromycin using the new IRMOF-3/Graphene oxide composite followed by its measurement using HPLC
Esraa Mohammed Al-adawi (Sultan Qaboos University & College of Science, Oman)
Herein, different metal organic frameworks (MOFs) were examined as sorbent materials on SPE for extracted clarithromycin (CLA) such as zinc(II)-MOF with terephthalic acid, trimesic acid and biphenyl4,4-dicarboxylic acid, as well as Al-terephthalic acid. However, all these MOFs didn't absorb CLA at all, except Zinc(II), 2-amino-trephthatic acid IRMOF-3. The extraction efficiency was found to be 68%. However, when composing this MOF with graphene oxide (GO) the extraction efficiency was enhanced to 79.8%. The CLA was determined by high performance liquid chromatography (HPLC) with UV detection at 266 nm. The analyte was run on C18 column maintained at 25 , eluted by an isocratic mobile phase comprised of (A, 40%) was a mixture of methanol and deionized water (60%: 40%) and mobile phase (B, 60%) was aqueous acetic acid (AA, 0.1%, v/v) at a flow rate of 0.1 mL/min. The calibration curve of CLA was linear r2=0.9926, over the concentration range of 0.01- 5 mg/L. The limit of detection (LOD) and limit of quantification (LOQ) was 2.7 and 8.1 μg/L respectively.
Autonomous UAV-based Multi-view Inspection of Flare
Muaz Al Radi (Khalifa University, United Arab Emirates); Hamad Karki (Mechanical Engineering, Khalifa University, United Arab Emirates); Naoufel Werghi, Sajid Javed and Jorge Dias (Khalifa University, United Arab Emirates)
Flare stacks are crucial safety control components in petrochemical plants that required efficient monitoring and inspection. In this work, an Unmanned Aerial Vehicle (UAV)-based multi-view operation inspection system for monitoring and assessing the operation of flare stacks is proposed. Image-Based Visual Servoing (IBVS) control is used to guide the autonomous UAV for multi-view visual data collection and the Detection Transformer (DETR) deep learning model is used to obtain useful conclusions on the system's operation. The proposed system's performance was tested and validated.
Mayid Alshaer (BUiD, United Arab Emirates); Edward Ochieng (The British University in Dubai, United Arab Emirates)
The main aim of this study is to establish how Dubai public sector organizations can use AI methods and tools to prioritize innovations, manage and leverage their innovation portfolios for proper decisions in investments. This study uses secondary data by randomly selecting peer-reviewed articles related to the topic of study from reputable bibliographic databases. The search process used relevant search terms and keywords matching the specific objectives. After the filtering process, the researcher ended up with the final 32 peer-reviewed articles. Using AI in IPM improves the process of assessing, classifying, and implementing innovative ideas. The public sector organizations in Dubai should adopt AI to achieve the highest standards in their innovative portfolio management. Dubai public sector organizations could leverage the recommendations proposed in this research to improve their IPM practices.
Khalid Alhosani (UAE & Khalifa University, United Arab Emirates); Jiju Antony and Maher Maalouf (Khalifa University, United Arab Emirates); Raja Jayaraman (Khalifa University of Science and Technology, United Arab Emirates)
The case of the company's operations shows various opportunities of improvement. To achieve the desired improvements, the team decided to implement Six Sigma methodology to pinpoint cost savings opportunities. During the implementation, the team found high variations in providing services and in collection times. Accordingly, the team decided to target these issues as primary objectives of the project.
The Removal Efficiency of Microplastics in Wastewater Treatment Plants in Oman
Abrar Al Amri (Sultan Qaboos University, Oman)
Wastewater treatment plants (WWTPs) are usually suspected of being major contributors to environmental microplastics that can rise environmental disutility in distinct ways. This study aimed to determine the removal rates and microplastic concentration of three wastewater treatment plants in Oman with different treatment processes which are conventional activated sludge, membrane bioreactor, and sequence batch reactor. The physical and chemical characteristics of the detected microplastics were identified. Most of the detected MPs in tertiary effluent were < 425 μm and fibers in shape. The study ensures the requirement for an additional treatment process or technology to eliminate such deleterious pollutants.
Hexagonal Diamond Synthesis based on Electro deposition Using Porous Alumina Template
Mohammed Bin afif (Khalifa University, United Arab Emirates); Daniel Choi (Khalifa University of Science and Technology, United Arab Emirates)
By electrolysis of organic solution containing methanol an attempt is made to synthesize hexagonal diamond. The process involved electrodeposition of cobalt nano wires on an anodized alumina template, followed by electrodeposition of organic solution containing methanol resulting in synthesis of hexagonal diamonds. Following deposition etching was performed to remove Ag, Al, and Co using different etchants. The samples were investigated by SEM and TEM, and it was found that they included impurities. Presence of Ag and Co was confirmed by EDS, the etching process did not entirely remove, these substances.
14:45 - 15:30
Poster-D2-S2-B: Poster Session - 2B
All Tracks
Room: Ballroom 3&4
Chairs: Riffat Amna (Khalifa University, United Arab Emirates), Mary Krystelle Catacutan (Khalifa University, United Arab Emirates), Leen Younes (Khalifa University & System on Chip Center, United Arab Emirates)
14:45 GOODS-TO-PERSON versus PERSON-TO-GOODS SYSTEMS: a human factors based comparison
Shayaan Syed (Khalifa University, India)
A goods-to-person strategy for order picking proved to increase productivity and helped to achieve the distribution center’s goal to reach a picking rate of an item every 10 seconds. However, some pointers suggest increasing the order picking rate increases threats to human well-being when working under pressure. The research on such task analysis has been done to date due to many challenges including monitoring real workers in an actual warehouse environment. This project suggests employing correct human factors simulation tools using a scale model of an order-picking station. The results indicate that the GtP strategy subjects the workers to more frequent highmagnitude of compression and shear on the lower back as compared to PtG strategy.
15:05 Single plate analysis of thermoacoustic Refrigerator: Conjugated heat flow analysis
Omar Ahmed Al-Mufti (Khalifa University of Science and Technology, United Arab Emirates); Isam
Janajreh (Khalifa University, United Arab Emirates)
Thermoacoustic refrigerator (TAR) or heat pump is a device that uses acoustic sound to pump heat from a lower temperature reservoir. The most distinct feature of thermoacoustic systems is that they do not have moving parts, which makes them reliable. TAR can be driven using thermoacoustic engine (TAE), where the TAE is operating on waste heat or concentrated solar, which renders its sustainability. In contrary to conventional refrigeration methods, TARs do not use environmentally harmful gases. In this work, we intend to develop high fidelity model to simulate the flow in a standing wave thermoacoustic refrigerator. The analysis is localized where only plate of the stack is considered. The acoustic waves were simulated using moving walls. The analysis was done for drive ratios in range of 0.28% to 2%. Compared to previous experimental and numerical results, the model showed good accuracy overall with slightly higher error at 2% drive ratio.
15:25 An Object-based Method for Mapping and Change Analysis of Mangroves in the Sundarbans
Shahira Abdul Lathif (Khalifa University, Abu Dhabi, UAE, United Arab Emirates); Maryam Rashed AlShehhi (Khalifa University, Civil, Infrastructure and Environmental Engineering & MIT, United Arab Emirates)
One of the largest mangrove forests, the Sundarbans lies on the delta of the Meghna, Ganges, and Brahmaputhra rivers. This study aims to map the extent of the mangroves in the Sundarbans and analyzing the changes using satellite imageries of different LANDSAT sensors including TM, ETM+, and OLI. The object-oriented supervised classification technique is used to assess the multi-temporal data collected for Sundarbans from 1989s, 2005s, and 2019s. Clear discrimination among various land cover classes within Sundarbans is possible with an object-based classification method. The overall accuracy of the land cover classification was 85%, 89%, and 83% for 1989, 2005, and 2019 respectively. Study shows that despite having a dense population in its periphery, the areal extent of the mangrove forest of Sundarbans has not changed much in the last 30 years.
15:45 Photothermal Surface Heating Membrane Distillation from 3D-printed MXene-based Nanocomposite
Noora Ali Almarzooqi (KU & Abu Dhabi, United Arab Emirates); Seunghyun Hong (Kyung Hee University, Korea (South))
Utilizing alternative and overlooked sources of water such as seawater, underground water and wastewater, become a must in order to fulfill the urgent need of the worlds’ ever-growing water demand. In this study, we develop a new class of 3D-printable fluidic mesh structure for photothermal surface heating membrane distillation (SHMD). Under solar irradiance, the printed mesh can exhibit localized photothermal conversion-driven heating effect near the surface of distillation membranes, which can generate vapor pressure strong enough to operate distillation across membranes. An enhancement in both photothermal efficiency and permeate flux was noticed as the percentage of MXene nanoparticles increased in the 3D printed meshes.
16:05 Classification of Fetal Behavioral States by Using 1D-CNN based on Fetal Electrocardiography
Amna Samjeed (Khalifa University, United Arab Emirates); Ahsan Khandoker (Khalifa University of Science, Technology and Research, United Arab Emirates)
To better understand the development of the fetal Autonomic Nervous System (ANS), the estimation of Fetal BehavioralStates (FBSes) is an essential parameter. This work aims to use 1D CNN to classify FBSes into two states: quiet and active. Non-invasive electrocardiogram signals were collected from 109 healthy fetuses whose Gestational Age (GA) ranged from 20-40 weeks for a time between 3-10 min. Our study employs a 1D CNN technique without extracting or selecting features from the fetal ECG signal. These networks can self-learn the distinguishing features of ECG signals. The proposed method for classifying fetal quiet states/active states provided an overall sensitivity, specificity, precision, and F1 score of 72.7/82.6%, 82.6/72.7%, 89.4/60%, and 80.2/69.5%, respectively. According to the results of this study, a deep learning approach combined with fetal ECG signals can be a useful pre-screening tool for fetal neurological assessment throughout gestation which has the advantage of reducing fetal mortality rate.
Khadija Jassim Farousha and Mohammad Abu Haija (Khalifa University, United Arab Emirates); Fawzi Banat (Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates); Muthukumarswamy Ranagraj Vengatesan (Khalifa University, United Arab Emirates)
Every year, date palm businesses in the UAE produce around 1.5 million tons of date waste, including date seeds. Encapsulating natural ingredients in porous media can lead to a controlled release of antioxidants and antimicrobial substances. In the proposed work aims to develop DSE-encapsulated porous materials that will be used to develop controlled-release food packaging films for different food storage applications. The DSE was encapsulated onto the mesoporous silica (MCM-41) through the vacuum impregnation method. The asobtained DSE-encapsulated MCM-41 can be utilized as the active compound to develop controlled-release active packaging (CRP) films. Fourier-transform infrared spectroscopy (FT-IR), thermogravimetric analyzer (TGA). UV-spectroscopy showed the encapsulation efficiency of DSE in MCM-41 is approximately 91%.
Awet Mekonen Araia (Khalifa University, United Arab Emirates)
Connected Autonomous Vehicles (CAVs) are the next step in the evolution of autonomous vehicles (Avs), allowing for greater efficiency and safety improvements in the transportation sector. The detection and reasoning about uncertainty in the operational environment is a fundamental difficulty with existing automated systems. Stochasticity from human actions offers another element of uncertainty when human-driven cars use the road network. Vehicle perception and trajectory control are essentially uncertain because of road and weather conditions, inaccuracies in perception and sensory inputs, and model inaccuracy. A risk-aware multi-agent behavioral planner for autonomous vehicles is proposed in this paper. Scalability in terms of the number of cars is a technological difficulty, as a naive method confronts exponential growth in state and action representations.
Ahmed A Saad (Khalifa University, United Arab Emirates); Mecit Can Emre Simsekler (Khalifa University of Science and Technology, United Arab Emirates); Mohammad Omar and Andrei Sleptchenko (Khalifa University, United Arab Emirates)
Cancer patients experience anxious stages of time. These stages start from the patient’s suspicion of a cancer diagnosis, then the patient’s multiple visitations to different physicians, and they end up being actually diagnosed with cancer. A cancer diagnosis has its deleterious impacts on the patients’ physical, mental, psychological, social, and financial aspects of life. Therefore, the cancer patients’ experience during and after the treatment stage is a critical pivot for care coordination and a powerful factor that enhances decision-making for healthcare service providers. This study aims at identifying the critical factors that affect cancer patients’ experience by applying Bayesian Belief Networks to numerical responses from the NHS cancer patient survey from 2017 to 2019.
Ahmad Obeid, Sajid Javed, Jorge Dias and Naoufel Werghi (Khalifa University, United Arab Emirates) Nucleus detection in histopathology images is important for the assessment of a tumor. Nonetheless, nucleus detection is a laborious task if done manually by experienced clinicians, and is also prone to subjectivity and inconsistency. Also, computer vision-based analysis poses several challenges due to the heterogeneity in the morphology and color of the nuclei, their varying chromatin distribution, and their fuzzy boundaries. In this work, we propose the usage of transformer-based detection, and dub it NucDETR, to tackle this problem. We propose the introduction of a necessary data synthesis step; demonstrating its effectiveness and benchmarking the performance of Transformer detectors on histopathology images. We also propose remedies that mitigate some of the issues faced when adopting such Transformer-based detection. The proposed end-to-end architecture avoids much of the post-processing steps demanded by most current detectors, and outperforms the state-of- the-art methods on two popular datasets by 1 ~ 9% in the F-score.
Samar N Abd Elwadood (Khalifa University, United Arab Emirates); Andreia Farinha (King Abdullah University of Science and Technology, Saudi Arabia); Ali Al Alili (DEWA, United Arab Emirates); Yasser Al Wahedi (Abu Dhabi Maritime Academy, Abu Dhabi Ports, Abu Dhabi, UAE, United Arab Emirates); Ludovic Dumée (Khalifa University, United Arab Emirates); Geert-Jan Witkamp (King Abdullah University of Science and Technology, Saudi Arabia); Georgios Karanikolos (Khalifa University, United Arab Emirates)
Atmospheric water harvesting (AWH) has emerged as a promising approach to overcome the water scarcity. AWH has no hydrologic limitations. However, the core challenge is to engineer and expose highly hygroscopic surfaces to air and efficiently store and restore the captured water under a broad range of relative humidity (RH) conditions. In this work, a water harvester from air under a wide humidity range based on a porous alginate composite (BAG) has been developed, which can actively sorb moisture from dry, humid, or smoggy environments and then release clean water under solar irradiation. The developed BAG hydrogel showed high equilibrium uptake of 6.85 g of water per gram of sorbent at RH of 90%, and 0.70 g/g at low RH of 10%. The desorption process at 60 °C can be triggered by sunlight, thereby ensuing efficient water harvesting, while a superior stability was also demonstrated after 30 sorption/desorption cycles.
Pooja Srinivas (Khalifa University, India); Wael Zaki (Khalifa University, United Arab Emirates); Imad Barsoum and Rashid Abu Al-Rub (Khalifa University-ADAM Center, United Arab Emirates)
The rapid technological advancements in the field of materials have motivated the scientific community to strive towards a better understanding of the structural and functional performance of shape memory components using Fused Filament Fabrication (FFF) technology. The focus is on the fabrication of monolithic and architected nitinol samples using the FFF process, modeling and simulation of printed SMAs, and characterization of periodic superelastic architected nitinol foams. Compared to beam-based AM methods, for which the determination of workable process parameters for AM nitinol remains an open challenge, FFF may be simpler to implement while potentially allowing higher throughput or larger parts. Moreover, its additive nature allows the fabrication of nitinol specimens of complex geometries because of the extremely poor workability of the material. Applications for such geometries may include biomedical prosthetics and grafts, as well as impact shielding solutions in the civil engineering and military fields.
Marwa Albeshr and Hani Saleh (Khalifa University, United Arab Emirates)
In this paper, an existing communication system’s high-level model based on the Autoencoders concept is updated by adding a Rayleigh Fading Channel to suit space communication applications. The Encoder, Latent Space/Code, and Decoder of the Autoencoder are equivalent to the communication system’s Transmitter, Channel, and Receiver, respectively. The high-level model is then trained repeatedly to obtain the hyperparameters that would result in a satisfactory validation accuracy. The learnable parameters of the network (i.e., Weights and biases) are extracted. For better hardware implementation, the learnable parameters are converted from Floating Point to Fixed Point representation with Q3.28. The inference of the communication system’s Transmitter is built using RTL Modelling to target hardware implementation (e.g., FPGA and ASIC). The Transmitter’s RTL Model functionality is then verified and synthesized for ASIC implementation.
18:45 Application of Ant colony optimization for GPON ring design network
Muhra AlMulla (Khalifa University & EBTIC, United Arab Emirates); Anis Ouali (EBTIC, United Arab Emirates); Andrei Sleptchenko (Khalifa University, United Arab Emirates)
This research investigates the potential of using an Ant Colony Optimization based method to solve complex optical network ring design problems. Manual network planning is time-consuming and expensive. This project will tackle two ring scenarios for connecting the customers: one main ring and a ring with subrings. The paper starts by introducing the purpose of the project and ant colony optimization, then discusses the research problem and the procedure to design the ring, concluding with the results.
19:05 Textural and Compositional Characterization of Surficial Sand Deposit for Potential use as Proppant
Abdul-Naaza Nuhu (Khalifa University of Science and Technology, United Arab Emirates)
Hydraulic fracturing is an important technique that enhances the production of hydrocarbons from reservoirs and unconventional petroleum resources. In anticipation of rapid future growth in Abu Dhabi’s unconventional petroleum resource development, a study has been conducted on the presence of surficial sand deposits for potential use as a proppant. Eighty-seven sand samples were collected from the dunes within the emirate of Abu Dhabi and its surroundings for textural and compositional analysis, during a field campaign covering an area of 34261 km². Compositional analysis of the initial twenty-five samples indicates the samples contain quartz, calcite and feldspar as the major mineralogical constituents. Quartz content ranges from 36% to 82%, calcite content ranges from 5% to 28% and feldspar content ranges from 4% to 49%. The estimated volume of sands within the study area based on inverse distance weighted average and kriging method is in the order of hundred billion m³
(κ0)
Sana Anamangadan (Khalifa University, United Arab Emirates)
Site response, impact of the uppermost geological layers on the intensity of ground motions, may lead to an increased damage on the structures due to earthquake ground shakings. Reference rock site is the condition where the site response starts in vertical direction. This condition needs to be defined to determine site amplification for a specific site condition. Since geological settings are different depending on the region, the reference rock condition also ranges. Ground motion prediction equations should be adjusted for region-specific reference rock condition. The site attenuation parameter is important for determining the reference rock site condition and is directly used to account for site attenuation in the earthquake ground motion predictions. This study summarizes the observed acceleration time series at 22 locations in the UAE and provide the kappa, at the ground surface against epicentral distances. As results, the representative kappa is provided in the UAE.
Bini Saroj Suresh Babu (British University in Dubai, United Arab Emirates)
This paper aims to analyze the concept of soft law and its significance in international law with special emphasis on its impact on international investment law. Soft laws are legally non-binding but may be construed as politically binding instruments that create a legal impact on participants. In this paper, the author has relied upon the works of renowned authors and legal academicians to understand their observations about soft laws and apply such observations to the present times to analyze the strengths and drawbacks of soft law in the current scenario.
Rizwan Ali and Khalid Al Ali (Khalifa University, United Arab Emirates); Cheng Kui (Khalifa University of Science and Technology, United Arab Emirates); Mohammad Abu Haija (Khalifa University, United Arab Emirates)
In this carbon-constrained world, the methane thermal decomposition proves to be a promising route for hydrogen production. An economical and robust catalyst can fulfil the demand of practical decomposition process in an industrial application; but it undergoes catalyst de-activation due to carbon deposition. In order to mitigate this issue, this intended study highlights the variety of natural sand-based mesoporous silica, modified with active metal doping, which leads to the formation of sustainable turquoise hydrogen by methane cracking process. Different mesoporous silica structures, such as Santa Barbara Amorphous-15 (SBA-15), dendritic mesoporous silica nanospheres (KCC-1), and Mobil Composition of Matter-No. 41 (MCM-41) is synthesized by using wet chemistry technique and will be tested for H2 production using solar energy based reactor.
20:25 Shape and Tip Force Estimation of Concentric Tube Robots Based on Actuation Readings Alone
AbdulAziz Y AlKayas and Federico Renda (Khalifa University, United Arab Emirates)
Recent advances on Concentric Tube Robots (CTRs) enable the construction and analysis of concentric combinations of precurved elastic tubes. These robots are very appropriate for performing Minimally Invasive Surgery (MIS) with a reduction in patient recovery time. In this work, we propose a kinetostatic model for CTRs based on the Geometric Variable-Strain (GVS) approach where the tubes’ sliding motion and concentrated external forces at the tip, are included. Our approach allows us to estimate the shape of CTRs and the tip forces using the displacements of the tubes and the insertion and rotation input forces and torques. This new approach opens a new way to use CTRs in surgical applications without the need of sensors along the tubes, but only actuation measurements.
20:45 Structural and electronic properties of carbon nanotubes using density functional theory
Khaled Abdelghafar and Khalid Askar (Khalifa University, United Arab Emirates)
The density functional theory with the Generalized Gradient Approximation (PBE-GGA) and Local Density Approximation for the exchange- correlation potential was applied to calculate the structural and electronic properties of carbon nanotubes. Structural properties such as lattice constants, bulk modules. Band structure, density of states and electronic charge density were calculated. CNTs show a metallic behavior and the electron charge densities of CNTs confirm a covalent bond between two carbon atoms.
21:05
Nada AbuHamra (Khalifa University of Science and Technology, United Arab Emirates); Heba Abu Nahla (Khalifa University of Science Technology and Research, United Arab Emirates); Baker Mohammad (Khalifa University, United Arab Emirates); Anas AlAzzam (Khalifa University of Science and Technology, United Arab Emirates)
Gas sensing has gained popularity in research, thanks to its wide range of applications, including environmental studies, automotive industries, and indoor air quality supervision. Metal Oxide Semiconductors (MOS) are currently the dominant materials for gas sensing, as they offer great chemical and thermal stability. However, MOS-based sensors lack sensitivity at room temperature and require high operating temperatures to boost their sensitivity. Emerging memristor (MR) devices have been recently studied for gas sensing and have shown great potential and promising capabilities for gas sensing applications at room temperature. This paper explores the working mechanism of n-type and p-type MR-based gas sensors, proposes the deployment of the p-type Au/rGO/Au memristive system for gas sensing, and explores initial results showing the system’s reaction and response to hydrogen.
Abdulla Almesmari, Jamal Sheikh-Ahmad and Firas Jarrar (Khalifa University, United Arab Emirates) This study presents the design of experiments approach for examining the mechanical performance of the body-centered cubic and the face-centered cubic plate lattices in order to optimize their design for material extrusion additive manufacturing. The effect of varying the design parameters (unit cell length, shell thickness, relative density) of these structures on tailoring their specific mechanical properties was investigated. Quasi static compression experiments revealed that plate lattices with higher relative density exhibited SEA and specific compressive modulus greater than that of plate lattices with lower relative density. Furthermore, plate lattices with smaller unit cell length demonstrated compressive modulus greater than that of plate lattices with larger unit cell length.
Omar Y Abass (Khalifa University for Science and Technology, United Arab Emirates); Sean Swei and Kamran Khan (Khalifa University, United Arab Emirates)
Large structures are needed for space exploration but sending these structures as a whole is not applicable as it requires huge resources. To solve that problem dividing the structures into identical units is needed. The division requires the utilization of an assembly robot to combine the structure at the desired destination. This thesis focuses on studying an assembly robot locomoting on identical units using a scissors expansion mechanism and mechanical latches.
22:05 Effects of Electromagnetic Field on Calcium Carbonate Crystallization in Reverse Osmosis
Ahmad Al Masri Alwan and Tu Phuong Pham Le (Khalifa University, United Arab Emirates); Emad Alhseinat (Professor of Chemical Engineering, United Arab Emirates) This work investigates novel utilization of electromagnetic field (EMF) on calcium carbonate (CaCO3) crystallization in RO system. In the experiment, water stream containing Ca2+ and HCO3- is exposed to a magnetic field in electromagnet prior to reaching the RO membrane. The effect of EMF on CaCO3 crystal morphology was studied via the characterization of CaCO3 crystals deposited on the membrane via scanning electron microscopy (SEM) and X-ray diffraction powder (XRD). The results showed that EMF reduced the amount of CaCO3 deposited on the membrane. The SEM results showed that the size of CaCO3 upon the exposure to EMF has become smaller. Furthermore, spherical vaterite crystals were induced by the EMF among cubic calcite crystals. The XRD results showed that crystals density became lower from the lower peak intensity induced by the EMF while peaks positions remained the same.
22:25 Body Dynamics and Seating - Do chair characteristics and basic needs of a chair affect user comfort and discomfort?
Khawla Mohamed Alhosani (Khalifa University, United Arab Emirates)
Chairs are essential tools that accompany human life for their widespread and varied uses. People use chairs for long periods of the day, and some may encounter problems. Better and more effective sitting health lies in dynamic seats; they reduce back and spine pain and discomfort. Active office chairs also can reduce postural sway, less muscular activation, and improve trunk movement, all of which are good for the health of the low back. This study investigates how chair characteristics and basic needs of a chair affect user comfort and discomfort. Additionally, lower back pain could be lessened by using an active chair.
22:45 On The Use of LSTM Networks for Food Production Forecasting
Nouf Salem Alkaabi (Khalifa University & EBTIC, United Arab Emirates); Siddhartha Shakya (EBTIC, Khalifa University, United Arab Emirates)
Food production forecasting is a challenge to decision-makers at agriculture authorities. Managing food production is the kernel of a stable food supply chain and is critical in satisfying the food demand. Optimal planning will help to prevent both under and over supply. AI-driven demand forecasting techniques can be used for this to predict behaviors and trends using historical data and other available parameters. In this study, we will investigate Long Short-Term Memory (LSTM) networks for food production forecasting, using a multilayer time series dataset that includes the monthly production of different food items for the period of 2014-2020. The aim is to build models that accurately forecast food production to facilitate the decision on import, export, and expected wastage.
23:05 Analysis of Chattering in Homogenous Sliding Mode Controllers using the Locus of a Perturbed Relay System
Ahmed Rehan (Khalifa University of Science and Technology, United Arab Emirates); Igor Boiko (Khalifa University, United Arab Emirates); Yahya Zweiri (Khalifa University of Science and Technology, United Arab Emirates)
In this work, we use the locus of a perturbed relay system (LPRS) method for the analysis of chattering and other possible oscillations in discontinuous homogenous Sliding Mode Controllers (SMC). The existence of non-vanishing oscillations in these sliding mode control systems, when parasitic dynamics are present, is shown. We investigate the chattering and other possible oscillations for the controllers proposed in [1]. The parasitic dynamics are included in this analysis through a second-order actuator model. The proposed approach to analysis provides exact values of the frequency and amplitude of chattering, as well as categorization of the obtained periodic solutions into orbitally stable and orbitally unstable. The analytical results are supported by simulations.
23:25 Inclusive education practices for a student with High Functioning Autism (HFA) in one private school in Dubai: A case study
Muntaha Badawieh (BUiD, United Arab Emirates)
Children with High Functioning Autism (HFA) show weak social communication skills that require understanding others’ emotions, empathy, self-referencing, and deducing the thoughts of others and may have significant problems with pragmatic responses. Most of the time, they enter elementary school with above-average reading levels compared with their same age-group children. Nonetheless, they need help understanding questions that require inferential comprehension. Also, they face difficulties in auditory processing, reflecting their poor sensory adjustments, despite their ability to process visual-perceptual information. This study aims to assess the inclusive education practice for one student diagnosed with High Functioning Autism. It focuses on determining the best inclusive education practices the school provides for the child to enhance his learning by answering the main research questions, which focus on finding how subject teachers support and support staff support the student in the classroom.
23:45 A critical analysis of language policies in Abu Dhabi
Siham Abukhalaf and Tendai Charles (British University in Dubai, United Arab Emirates)
Arabic is the official language of the UAE, yet English is the country’s lingua-franca and the medium of instruction for almost every private educational institution. A Language Education Policy was launched in the UAE emphasising the need to learn a second language in addition to the first language. Therefore, much attention has recently been paid to the policy of bilingual education, wherein modernising the UAE’s education system and promoting a bilingual approach to teaching and learning were the central objectives of the strategic plan for educational supervision bodies. This research aims to identify the strengths and weaknesses of the language policy of an IB curriculum school in Abu Dhabi and provide some recommendations. The language policy document of an International Baccalaureate curriculum is critically analysed and discussed in this paper.
MONDAY, MARCH 20
24:05 Fabrication of Carbon-Based Anod for enhancing lithium battery
Nour Abdelrahman (Khalifa University, United Arab Emirates)
Modern society is built from materials, and carbon-based materials are widely distributed and play an essential role in human civilization. Allotropes of carbon have great potential for wide application. Without carbon, life would not be possible. Carbon forms a large number of allotropes, including fullerenes, carbon nanotubes, graphite, graphene, and diamond. Carbon-based compounds have been widely used in various applications such as energy, biomedicine, photochemistry, etc.
24:25 Contextual Drivers of Occupants’ Comfort and Behavior in Buildings: A comprehensive review
Hessa Alshamsi (Khalifa University, United Arab Emirates); Elie Azar (Carleton University, Canada); Ravindra Stephen Goonetilleke (Khalifa University, United Arab Emirates); Herbert F Jelinek (Healthcare Engineering Innovation Center, Khalifa University & Charles Sturt University, United Arab Emirates); Saed Amer (Khalifa University of Science and Technology, United Arab Emirates)
Occupant’s comfort and perception of space are the core of the design process as the main end-user of a building. Drivers of occupant’s comfort in built the environment can be classified as physical, personal and contextual. Physical variables have been extensively studied in the literature. They are measurable and regulated by codes and standards. Personal drivers are occupant-dependent and vary with the demographics, clothing, or activity level. Contextual drivers are spatial features of the indoor environment, determined by the setting in space where the building is located, interior design, and building systems. They have yet to be analyzed and regulated through standards, as they are subjective to designers’ choices and building constraints. This paper presents a review of the literature on the contextual drivers of occupant’s comfort in the indoor environment.
15:30 - 15:45
Coffee Break - Afternoon
Room: Ballroom 3&4
15:45 - 17:15
EPS-D2-S3: Chemical Engineering
Engineering, Information Technology & Physical Sciences
Room 4
Chairs: Farah Abuhantash (Khalifa University, United Arab Emirates), Hassan Almheiri (Khalifa University, United Arab Emirates)
MONDAY, MARCH 20
15:45 Development of Novel Catalysts for the Nitrogen Reduction Reaction (NRR) using Density Functional Theory (DFT)
Hassan Almheiri and Ali Al Hammadi (Khalifa University, United Arab Emirates); Kyriaki
Polychronopoulou (Khalifa University of Science and Technology, United Arab Emirates); Dinesh Shetty and Nirpendra Singh (Khalifa University, United Arab Emirates)
The Haber-Bosch process which produces ammonia from hydrogen and nitrogen can be considered as one of the most critical processes ever commercialized. The process comes with a hefty energy tag as it requires high temperature (100-500oC) and high pressure(10-30MPa) and produces more than 1% of worldwide CO2 emissions. Currently the electrocatalytic nitrogen reduction reaction(NRR) being able to produce NH3 in ambient conditions stands as the prominent replacement to the Haber-Bosch process. Yet, it still lacks the competency due to low faradaic efficiencies and competition from the hydrogen evolution reaction(HER). Two-dimensional metal-organic frameworks (2D MOFs) can be used as platforms of single-atom catalysts(SACs) where the active metal centers are utilized up to 100% in the NRR, and SACs have the ability to suppress the HER. This work outlines the use of DFT to screen 2D MOFs, and proposes a methodology to investigate a 2D MOF as a catalyst for the NRR.
16:00 Polylactic Acid/Functionalized CNTs Mixed Matrix Membrane for Oil Water Separation
Farah Abuhantash (Khalifa University, United Arab Emirates); Shadi Wajih Hasan (Khalifa University of Science and Technology, United Arab Emirates); Hanaa Hegab (Khalifa University, United Arab Emirates); Fawzi Banat (Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates); Faisal A AlMarzooqi (Khalifa University & Masdar Institute, United Arab Emirates)
Proper treatment of oily wastewater before its discharge is necessary to abide by the environmental regulations and reutilizing it in relevant applications. Membranes have shown to be promising with a strong potential in oily wastewater treatment with significant research being carried out to improve its properties and performance. Membranes offer significant benefits, e.g. high removal efficiency and low power consumption, but mainly suffers from fouling. In this work, hydrophilic functionalized CNTs/ polylactic acid (fCNTs/PLA) mixed matrix membranes are proposed for efficient oil-water separation for the treatment of oily wastewaters. Results showed that adding small percentage of the fCNTs improved emulsion permeability by 75% with 100% rejection of oil. Characterization of the membranes were tested using X-ray diffraction (XRD) and thermogravimetric analyzer (TGA). With the biodegradable and biocompatible characteristics of PLA, this study provides a promising development and application of green, sustainable membranes for the separation of oil from oil water emulsions.
Yazan H Abuhasheesh (Khalifa University, United Arab Emirates); Shadi Wajih Hasan (Khalifa University of Science and Technology, United Arab Emirates)
Oil spills caused by offshore exploration and oil transportation come with extremely diverse effects on the environment and can potentially harm aquatic life. Membrane technology showed superior performance compared to the other conventional techniques due to its higher performance and the ability to separate emulsions. Herein, hydrophobic polyethersulfone/iron oxide-oleylamine (PES/Fe-Ol) mixed matrix membranes (MMMs) were prepared using non-solvent induced phase inversion. A similar procedure was used to fabricate pristine PES. The performance of the membranes in emulsion separation was tested using a dead-end vacuum filtration setup and a 1 vol.% water-in-hexane surfactant stabilized emulsion. The 1.5 wt.% PES/Fe-Ol MMM exhibited a 93.5% separation efficiency compared to 53.3% for the pristine PES. Furthermore, it had a high permeate flux of 1310.5 L/m2h, hence, showing great potential in the application of water-in-oil separation.
16:30 Diffusion properties of CO2 and N2 in hybrid GO/CuBTC and GO/UTSA-16 adsorbents
Hongyu Zhao, Daniel Bahamon, Maryam Khaleel and Lourdes Vega (Khalifa University, United Arab Emirates)
Hybridization with graphene oxide can enhance the CO2 adsorption capacity of metal-organic frameworks under low pressure conditions. Although several studies have been published regarding the adsorption behavior, no experimental or simulation studies have reported the diffusion properties of CO2 in GO/MOFs, key to understand their behavior for CO2/N2 separation. In this work, equilibrium molecular dynamics (EMD) simulations of CO2 and N2 in pristine CuBTC, UTSA-16 and corresponding GO/MOFs hybrid were performed to obtain their microscopic diffusion properties. It can be found that enhancement in CO2 adsorption capacity is counterbalanced by the diffusion properties on GO/MOFs. The impenetrable GO sheets and the stronger adsorption site created by GO hybridization make CO2 and N2 tend to diffuse along the direction parallel to the GO sheets in GO/CuBTC and GO/UTSA-16. The weaker interaction with the framework makes the self-diffusivity of N2 in the hybrid structure about ten times that of CO2.
16:45 Zeolite-coated 3D-printed gyroid polymer monoliths for carbon dioxide capture
Kedar Bharat Jivrakh (Khalifa University of Science and Technology, United Arab Emirates); Georgios Karanikolos (Khalifa University, United Arab Emirates); Kyriaki Polychronopoulou (Khalifa University of Science and Technology, United Arab Emirates); Rashid Abu Al-Rub (Khalifa University-ADAM Center, United Arab Emirates)
Carbon dioxide capture using 3D-printed adsorbents is gaining attention due to the potential of the generated structures to address issues such as pressure drop, attrition, heat, and mass transfer limitations associated with powder and pelletized adsorbents. In this work, a triply periodic minimal surface (TPMS)-based gyroid sheet geometry was designed and 3D-printed in the form of a cylindrical monolith using castable wax polymer. It was then coated with commercial zeolite X crystals and its CO2 adsorption performance was assessed. The zeolite X was primarily attached on the monolith via silanization. Following structural and morphological characterization, CO2 adsorption isotherms and kinetics were acquired at 25 °C and up to 1 bar. The CO2 adsorption kinetics was enhanced in the 3D printed samples due to the high density of flow passages offered by the gyroid geometry, while the printed samples also exhibited higher cyclic stability compared to the commercial Zeolite X powder.
17:00 RF-Powered sputtering of iron pyrite for photovoltaic applications
Awais Zaka (Khalifa University, United Arab Emirates); Saeed Alhassan (Khalifa University of Science and Technology, United Arab Emirates); Ammar Nayfeh (Khalifa University, United Arab Emirates) In this work, 2-Dimensional FeS2 thin films were deposited on different substrates through a plasmaassisted, radio frequency (RF)-powered sputtering method intending to analyze the properties for photovoltaic applications. The FeS2 films were characterized using several techniques. The asprepared thin films were then tested for solar applications. Pyrite films showed excellent absorption in UV/Vis range, with the Tauc's plot calculations indicating a wide band gap of 2.25 eV. Solar device fabrication and analysis showed higher current generation under solar conditions indicating a suitable material for photovoltaics.
15:45 - 17:30
EPS-D2-S3: Chemistry
Engineering, Information Technology & Physical Sciences
Room 2
Chairs: Mahira Bashri Kuzhimully (Khalifa University, United Arab Emirates), Zeinab Mohamed Saeed (Khalifa University, United Arab Emirates)
15:45 Fabrication of Mechanically Robust 3D- Covalent Organic Framework Over Membranes
Mahira Bashri Kuzhimully and Dinesh Shetty (Khalifa University, United Arab Emirates)
Getting mechanically stable COF membranes is one of the research-intensive fields for membranebased purification and molecular/gas separation applications. Here we present a simple but efficient way for in situ fabrication of COF over PAN support via interfacial polymerization reaction. The obtained membrane was characterized by FTIR, SEM, and contact angle measurement.
16:00 Four-Fold Mechanochemical C-N Coupling for an Efficient and Low-cost Hole Transport Material in Perovskite Solar Cells
Wesam Ahmed Ali (Khalifa University, United Arab Emirates)
Perovskite solar cells (PSCs) are a promising renewable energy source that have attracted attention in recent years. Here we shed the light into fabricating a novel pyrene-X material using four-fold mechanochemical C-N coupling of tetra- bromopyrene with molecule X. The PYR-X material is a hole- transport material (HTM) usually utilized as a hole-transport layer (HTL) in the PSC. Synthesis of the PYR-X molecule was achieved under solvent-free conditions without an inert atmosphere or the need for external heating. The synthesis was achieved via ball mill for 99 minutes. According to the achieved yields, this approach surpassed the reported solution synthesis of other well-known HTMs.
16:15 Polymorphism of Simple N-salicylidene Aniline Derivatives: A Joint Experimental and Theoretical Study
Zeinab Mohamed Saeed (Khalifa University, United Arab Emirates); Sharmarke Mohamed (Khalifa University of Science and Technology, United Arab Emirates); Praveen Managutti (Khalifa University, United Arab Emirates)
N-salicylidene anilines derivatives are well known smart materials that exhibit color changes in response to light or heat stimuli. Their unique reversible chromic behavior can be utilized in diverse applications including optical sensors, organic superconductors, and non-linear optics. In this work, six novel (E)-4-((2-hydroxy-3-methoxybenzylidene) amino) benzene sulfonamide polymorphs were synthesized, and characterized via SXRD, PXRD and thermal methods. The polymorphs displayed different colors ranging between pale yellow to dark red due to differences in their conformation. Computational modelling was applied to probe the energy differences between the polymorphs using crystal structure prediction methods coupled with DFT. This work highlights the challenges in controlling the polymorphism of simple molecular compounds and the value of a joint experimental and computational approach to understand the outcome of crystallization experiments.
Dina A Gaber, Maguy Abi Jaoude and Giovanni Palmisano (Khalifa University, United Arab Emirates) This work discusses the green preparation of iron oxide nanoparticles with tunable morphology by ionothermal synthesis in a hydrophilic deep eutectic solvent (DES)/water system. The DES used consisted of choline chloride and urea as available and environmentally friendly starting materials. The influence of the treatment temperature (90-160 C), reaction time (3-12 h), and presence of water in the DES-rich co-solvent system on the morphology and crystallinity of the formed particles was examined by SEM and p-XRD. The results showed that controlled particle geometries could be prepared under different operating conditions, including nano spindles, nanorods, and micro spherical assemblies. The addition of water to the studied DES enhanced the crystal formation at temperatures as low as 120 C for a similar treatment time. The prepared material demonstrates a hematite crystalline structure. The proposed DES-based ionothermal process opens new avenue for producing diverse morphologies of iron oxide nanoparticles in an eco-friendly approach.
16:45 Insight into the Charge Transfer Character of a Novel Organic Dye for Solar Cell
Applications: Synthesis, Photophysics, and Electrochemical Study
Balqees Al-Saadi (Sultan Qaboos University, Oman); Ahmed Ramadan, Younis Baqi and Osama K. Abou-Zied (SQU, Oman)
MONDAY, MARCH 20
The efficiency of light absorption in solar cells depends on the chemical structure of the photosensitizer. This work focuses on designing a novel derivative of chalcone by manipulating the push-pull mechanism of the internal molecular charge and extending the π-conjugation system. Herein, we exhibit a promising photosensitizer, (2E,4E,6E)-7-(4-Dimethylamino-phenyl)-1-(2-hydroxyphenyl)-hepta-2,4,6-trien-1-one (3DHC), that upon extending the π-conjugation system shows enhanced photophysical properties of absorption and fluorescence in the red and near-infrared region. In order to fully characterize the current system, two more derivatives (DHC and 2DHC) were synthesized and studied by steady-state absorption and fluorescence spectroscopy while dissolved in MeOH and in the solid state. It was found that the expansion of the π-conjugated system resulted in a bathochromic shift of the absorption and fluorescence peaks. From cyclic voltammetry, the dyes can energetically inject the excited electrons to the conduction band of the semiconductor and be regenerated by the electrolyte, making them suitable as solar concentrators.
17:00 Asymmetric Synthesis of Bioactive 4,5-dihydro-1H-[1,2,4]Triazole Using Glucopyranose as Chiral Scaffold
Anwaar Al Maqbali, Wajdi Michael Zoghaib and Raid Abdel Jalil (Sultan Qaboos University, Oman) A novel series of enantiopure chiral 4,5-dihydro-1H- [1,2,4]-triazole appendaged with acetylated glucose was synthesized by coupling hydrazonyl chlorides with the corresponding glucopyranose Schiff base derivatives via 1,3-dipolar cycloaddition reaction. The synthesized compounds were fully characterized by various spectroscopic methods (1H NMR, 13C NMR, IR, HRMS), its structure & steriochemistry confirmed by X-ray analysis. Optical studies revealed that all the compounds reported here exhibited fluorescent emission of blue to green-yellow light and absorption at approximately 400-410 nm. Antimicrobial activity was reported and anti-tumour activity was confirmed for all products by National Institute of Cancer (NCI) in USA.
17:15 Synthesis and characterization of tris(5,7-diphenyl-8-quinolinolato) aluminum(III), gallium(III), and indium(III) complexes Effect of metal ions on the structural, photoluminescence, thermal and elect
Usama Al Zaabi (Sultan Qaboos University, United Arab Emirates)
8-quinolinolate metal-chelate complexes are one of the most powerful optoelectronic materials for organic light-emitting diodes (OLEDs). Due to their importance, research efforts have concentrated on studying this class of materials as bulk materials since 1987 and as nanomaterials for LED and other applications in recent years.1 Despite the large number of studies devoted to the tris(8quinolinolato) aluminum(III) complex (Alq3) as a workhorse among this class of molecules from a variety of perspectives, few studies have been conducted to systematically investigate the 5,7-substituted 8-hydroquinoline derivatives. Therefore, our contribution focuses on the molecular structure, photophysical, thermal, and electrochemical properties of tris(5,7-diphenyl-8-quinolinolato) aluminum(III), gallium(III), and indium(III) complexes, M(5,7-Phq)3.
15:45 - 17:15
EPS-D2-S3: Civil Engineering & Urban Studies Engineering, Information Technology & Physical Sciences
Room 3
Chairs: Yousef Awera (Khalifa University, United Arab Emirates), Farah Wael Hamdan (American University of Sharjah, United Arab Emirates)
15:45
Farah Wael Hamdan (American University of Sharjah, United Arab Emirates)
Due to the noticeable climate change effects around the globe, conversations leading to strategies, action, and management plans have been initiated to leverage the dependency on non-renewable resources that emit carbon. In parallel the UAE developed the 2050 carbon net zero strategies to adopt adaptive and mitigative measures aligned with the international climate movements in response to global warming due to climate change. This paper overviews the links between climate change, global warming, spatial development, and their relationship to leverage the carbon dependency and reduce the carbon emissions to achieve carbon net zero.
16:00 The Impact of gentrification on Sha’abiat Neighborhoods in Al Ain City, UAE: A pilot study of Al Jimi District
Boshra Hassan and Sahera Bleibleh (United Arab Emirates University, United Arab Emirates) Al Ain city’s reputation as a place of cultural importance has increased and has shown its systemic delicacies since being recognized as a UNESCO World Heritage Site. However, the rapid futuristic growth of UAE may affect the generational connection and city identity testimonies. Therefore, spatial documentation is a crucial action to preserve the identity of old neighborhoods that expresses the narratives of the city and the evolution process it has experienced. This study focuses on identifying the current condition and cultural significance of Sha’abiat neighborhoods in Al Ain City, UAE utilizing qualitative research tools. The study aims to answer the following question: “What is the impact of gentrification and the accelerated developments on Al Ain’s Sha’abiat Neighborhood?”. The findings of this study will contribute to the UAE 2071 vision and 11.4 sustainable development goal (SDG)
Motaz Fathi Abugabal (Khalifa University, United Arab Emirates); Tadahiro Kishida (Assistant Professor, Khalifa University of Science and Technology, United Arab Emirates)
The aim of this research is to create a regional strong ground motion database for the UAE. Ground motion events data will be provided by the National Center of Meteorology, processing and correction will be done to the data and finally creating of ground motion databases which can be using in earthquake design, seismic hazards and hazard maps in the UAE.
Habibelrahman Hassan, Eyad Shahin and Mohamed Khalifa (American University of Sharjah, United Arab Emirates); Adil Al-Tamimi (USA)
As interest in exploring the potential for complete industrialization of the 3D printing technology in construction increases, research investigating different aspects of 3D printing is needed. In this paper, a fiber-reinforced 3D-printable mortar mix was developed and its performance in the fresh and hardened state was evaluated. Different polyethylene fiber percentages of 0%, 0.25%, and 0.5% were investigated. The results indicated a general reduction in workability, extrudability, and open time with a slight improvement in the buildability as the fiber content increased. The flexural and compressive strength of the extruded samples were significantly improved with the addition of the fibers and improved further as the fiber dosage was increased.
16:45 Finite element parametric analysis of RC columns with GFRP and BFRP bars
Yousef Awera (Khalifa University, United Arab Emirates)
Recently, Fiber Reinforced Polymers have gained popularity among engineers due to their noncorrosive nature and high tensile strength compared to steel. As a result, researchers have started exploring these materials as replacements to steel reinforcements in concrete structures. Despite the recent research efforts, there are no clear guidelines in the building codes to design columns reinforced with FRPs. Also, most of these codes ignore the contribution of FRP bars in carrying the loads in compression members. A full parametric study, utilizing Finite Element (FE), is performed on square concentrically loaded columns. Results show that as the longitudinal reinforcement ratio increases or the ties spacing decreases, the strength of columns increases. However, steel columns still outperformed their GFRP and BFRP counterparts. Moreover, GFRP and BFRP ties performed almost on the same level as the steel ties or even surpassed them when the spacing is large due to their superior tensile strength.
Ahmed Zuhair Alkhaffaf and Sangyoung Yoon (Khalifa University, United Arab Emirates); Andreas Schiffer (Khalifa University of Science and Technology, United Arab Emirates); Tae-Yeon Kim (Khalifa University, United Arab Emirates)
The sensitivity of Highly Non-Linear Solitary Waves (HNSW) to changes in water-to-cement ratios and the progress of the hydration process, or curing age, was tested experimentally. This is of importance because HNSWs can be used as information carriers of physical attributes of cementitious materials, thus HNSW can be a candidate for a new and novel Non-Destructive Evaluation (NDE) method. Furthermore, water-to-cement ratio and curing age have a significant influence on the physical attributes of cementitious materials such as compressive strength or elasticity, both of which are important and desired results of NDE. Cement paste cubic samples were tested at different curing ages and with different water-to-cement ratios. The results show that in general HNSW are indeed sensitive to changes in water-to-cement ratios and curing age. Although some wave parameters are more sensitive to those changes than others.
15:45 - 17:00
EPS-D2-S3: Communication, Electrical & Electronic Engineering Engineering, Information Technology & Physical Sciences
Room 1
Chairs: Ebtisam Alyammahi (Khalifa University, United Arab Emirates), Zainab Ghazi Khader (United Arab Emirates)
Abdallah Alkhatib (Khalifa University, United Arab Emirates)
The future wireless networks, such as Internet of Things (IoT) and beyond 5th generation (5G) systems, demand increased data transmission rates under high robustness and low power consumption constraints. As such, efficient modulations play a vital role, with Spatial Modulation (SM), which is a Multiple Input Multiple Output (MIMO) based scheme, been considered an effective option to partly address the associated challenges. However, the main implementation challenge is the integration of the MIMO system in small devices as the space available for multiple antennas is very limited. Fortunately, the emerging fluid antenna systems (FAS) can improve the performance of the wireless system by selecting the position of the transmit antenna with the best available channel. The aim of this work is to study the performance of SSKs that utilize the FAS port-switching mechanism. The simulation results of the proposed systems were reported in terms of the achievable bit-error-rate and signal-to-noise-ratio.
Ebtisam Alyammahi (Khalifa University, United Arab Emirates); Mohamed A Abou-Khousa (Khalifa University of Science and Technology, United Arab Emirates); Baker Mohammad (Khalifa University, United Arab Emirates)
A method of utilizing genetic algorithms (GA) to design an S-band wire antenna is presented. The optimization goal is to find the optimal antenna dimensions that would provide the minimum reflection coefficient. The antenna dimensions were optimized using CST, and accordingly the antenna prototype was built and tested. A comparison of the results obtained using CST simulation, GA algorithms, and measurements of the actual antenna in terms of the reflection coefficient is presented and discussed herein. The results show that GA can be efficiently towards optimized wire antenna design.
16:15
duplex
Zainab Ghazi Khader (United Arab Emirates); Paschalis C. Sofotasios (Khalifa University & Tampere University, Finland)
This paper addresses the physical layer security of wireless communication systems using a a two hop cooperative communication network with full-duplex relaying and relay selection. A closed-form expression for average secrecy capacity (ASC) for a dual relay system with full-duplex (FD) capability is derived in an independent and identically distributed Rayleigh fading environment. A performance analysis is conducted using the developed expression, and the impact of interference between relay inputs and outputs is discussed.
16:30 UWB Tapered Slot Antenna with New Feeding Technique for Wideband Millimeter Wave Imaging
Sagiru Mukhtar Gaya and Mohamed A Abou-Khousa (Khalifa University of Science and Technology, United Arab Emirates)
This paper presents an ultra-wideband (UWB) tapered slot antenna (TSA) with a new feeding technique. The proposed UWB antenna consists of a tapered slot radiating element and a feeding structure. The feeding comprises a circular slot, slot line, and 50-ohm microstrip line on the bottom layer. The microstrip line is routed on the bottom layer to the center of the circular slot and coupled to it electromagnetically through the substrate. The proposed wideband feeding method is simpler than conventional TSA feeding methods, which most often require stubs or stepped transmission lines. It is demonstrated here that, with the new feed, the 10 dB impedance bandwidth of 46 GHz is realized. The antenna operates over the frequency range f rom 38 GHz to 84 GHz with a maximum gain of 6.3 dB. Operating in the Q/V frequency range, the TSA is a good candidate for wideband millimeter wave (mm-wave) imaging.
16:45 A Wideband Slotted Circular Patch Antenna for Sub-6 GHz 5G WiMAX Applications
Khamis H Ali (Khalifa University, United Arab Emirates); Ademola Akeem Mustapha and Mohamed A Abou-Khousa (Khalifa University of Science and Technology, United Arab Emirates)
Using computer simulation technology (CST) MWS suite, a slotted circular shaped patch antenna (CSPA) with defected ground structure (DGS) is modelled and proposed for 5G Sub-6 GHz. The CSPA is constructed on a (lossy) Rogers RT5880 substrate with compact dimensions of 20 35 0.79 mm3. Its reflection coefficient at 3.10 GHz is -25.77 dB, and it operates over a wider frequency range of 2.88 GHz (2.69-5.57 GHz) to handle sub-6 GHz bands. At 3.10 GHz, the CSPA exhibits excellent gain (2.60 dBi) and VSWR (1.108) with omnidirectional radiation characteristics. The maximum power radiation efficiency of the proposed CSPA is around 97%.
15:45 - 17:15
EPS-D2-S3: Mechanical Engineering
Engineering, Information Technology & Physical Sciences
Room 7
Chairs: Nareg Baghous (Khalifa University-ADAM Center, United Arab Emirates), Muna Salem Salem (Khalifa University, United Arab Emirates)
15:45 Experimental investigations of brine droplet crystallization during natural-convectioncontrolled freezing
Hongtao Zhang and Isam Janajreh (Khalifa University, United Arab Emirates)
Droplet freezing follows two successive thermodynamic steps; Nucleation, which is a metastable "supercooling-state" that is naturally observed to extend several degrees below the solid melting point, and crystallization, which is the posterior growth of the nucleated atoms/molecules beyond critical radius. The clustering of atoms/molecules depends on temperature, heat removal rate, surface properties, nucleating agent amongst others. Supercooling degree can be perceived as a liquid property and is defined as the difference between the melting and nucleation points. Its importance is found in areas such as energy-storage and phase-change, freeze-desalination, and microbiology. Here, we present experimental measurements for water droplet freezing to investigate the role of the droplet volume, cooling temperature, and nucleating agent concentration on the extent of the supercooling degree. Results show that supercooling degree increases with decreasing cooling temperature but decreases with increasing droplet size. Adding AgI nucleating agent significantly reduced the supercooling degree.
16:00 Solid polymer desiccants based on thermo-responsive superporous hydrogels (SPH) as composite with Laponite-RD (Lap-RD)
Muna Salem Salem and Md Islam (Khalifa University, United Arab Emirates)
Atmospheric water harvesting (AWH) is used to address the current scarcity of fresh water. Sorptionbased AWHs technology using desiccant coated heat exchanger (DCHE) could enable a good water supply in arid regions since sorbents can grab moisture from arid environment and then release water once it thermally generated. This study investigates the potential application of thermo-responsive superporous hydrogels (SPH) as composite with Laponite-RD (Lap-RD) to adsorb water vapor from moist air. Samples was synthesized by gas blowing and foaming technology. The formation of SPHs and the incorporation of Lap-RD within the polymer matrix was studied by characterizing the synthesized materials using different techniques such as X-ray diffraction (XRD), TGA and SEM.
16:15 Controllers for Cable Driven Lower Limb Rehabilitation Exoskeleton (C-LREX): PD vs MPC
Rajan Prasad (Khalifa University & Beijing Institute of Technology, Nepal); Kinda Khalaf (Khalifa University, United Arab Emirates); Mohammad Awad (Khalifa University of Science Technology, United Arab Emirates); Marwan El-Rich (Khalifa University, United Arab Emirates)
Cable driven exoskeletons are preferred over link-driven exoskeletons due to numerous advantages such as remote actuation, lightweight, reconfigurability, and many more. PD (proportional derivative) controllers are widely implemented in exoskeletons due to simplicity and faster response. However, in cable driven exoskeleton, the PD controller doesn't directly distribute the cable tension and thus the possibility of tracking error is higher. In this work, we formulated a non-linear model predictive controller (NMPC) that directly allocates cable tension and is further simplified to reduce the time delay. The simulation result indicated that simplified NMPC is faster than NMPC but slower than PD. NMPCs tracked trajectory with the least error, however, allocated higher cable tension. PD should be preferred when speed is prioritized while NMPC should be preferred for performance.
16:30 Initial Yield Criterion for Schoen's IWP Sheet Triply Periodic Minimal Surface Lattice
Nareg Baghous, Imad Barsoum and Rashid Abu Al-Rub (Khalifa University-ADAM Center, United Arab Emirates)
Due to the advancements in additive manufacturing and increased applications of additively manufactured structures, it is essential to fully understand both the elastic and plastic behavior of cellular materials used in structural lightweighting, which include the novel mathematically-driven sheet/shell lattices based on triply periodic minimal surfaces (TPMS). A novel yield criterion is proposed for sheet-based TPMS lattices which incorporates the Lode parameter (L), and its accuracy is tested on four different loading conditions on Schoen's IWP sheet TPMS lattice (IWP-s). Results indicate that this yield criterion is prevailing on the existing literature yield criteria for cellular materials.
16:45 Insights into Melting Dynamics of Ice in Porous Media with NMR-MRI Characterization
Natnael Fitsum Haile (Khalifa University, United Arab Emirates); Muhammad Sajjad (Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates); Hongxia Li, Nahla AlAmoodi, Faisal Al Marzooqi and Tiejun Zhang (Khalifa University, United Arab Emirates)
In this work, Ice melting dynamics in porous media made of micro sized soda lime glass beads is characterized using nuclear magnetic resonance and magnetic resonance imaging (NMR-MRI). The size range of the glass beads are: 1-50 and 100-200 micron. From the study it is found that melting process is faster in the smaller glass beads as compared to the larger glass beads in the case of horizontal orientation. This work is part of our project solar driven water harvesting in porous media for in situ resource utilization where its result will be employed in making functional device to harvest water for space missions.
15:45 - 17:15
EPS-D2-S3: Physics
Engineering, Information Technology & Physical Sciences
Room 8
Chairs: Mohamed Elfatih Daoud (Khalifa University, United Arab Emirates), Malathe Khalil (Khalifa University, United Arab Emirates)
15:45 Preliminary investigations of CO spectral signatures in the Martian atmosphere
Malathe Khalil, Salman Mahmoud and Marko Gacesa (Khalifa University, United Arab Emirates); Amal A Al Ghaferi (Khalifa University of Science and Technology, United Arab Emirates); Nayla ElKork (Khalifa University, United Arab Emirates)
CO is one of the most abundant molecules in the upper atmosphere of Mars. It has been used throughout literature as a probe for studying atmospheric composition, and the dynamics involved. We report new molecular potential energy curves for the two lowest electronic states of CO computed using CASSCF/MRCI+Q method. This work presents a preliminary investigation of the spectroscopic and absorption properties of the fourth positive band of the CO molecule.
16:00 Structure Stability and Electronic Properties of Novel Two-Dimensional (2D) Ti4BN Monolayer for Li-ion Battery
Adewale Hammed Pasanaje and Nirpendra Singh (Khalifa University, United Arab Emirates)
The structural stability using phonon dispersion and electronic properties of Ti4BN are investigated using the density functional theory. Our results show that the pristine, F- and O-functionalized Ti4BN are metallic, while OH functionalized Ti4BN monolayer is a semiconductor with a band gap of 0.12 eV. The tunable electronic structure of Ti¬4-BN monolayer and reasonable Li binding energy of -0.87 eV and -1.91 eV for F- and O- functionalized Ti¬4¬BN monolayer, respectively, is obtained, which makes it suitable for Li-ion battery applications. Our results present the necessary background for experimentalists to explore this novel material.
16:15 Thermal Transport Properties of Holey Graphyne
Surabhi Suresh Nair, Muhammad Sajjad and Nirpendra Singh (Khalifa University, United Arab Emirates)
A comprehensive study on recently synthesized holey graphyne has been conducted to uncover its thermal transport properties. Electronic structure calculations disclose a direct bandgap of 1.00 eV, which agrees with the experiment. The absence of imaginary phonon frequencies in the phonon dispersion ensures dynamic stability. The calculated room temperature Seebeck coefficient of 300 μV/K is substantially higher than that of graphene (~ 50 µV/K). Weaker sp hybridization in acetylenic links in combination with enhanced (decreased) phonon scattering rates (phonon group velocity) results in ultralow lattice thermal conductivity (κl), with room temperature κl (29.3 W/mK) 4-folds smaller than C3N (128 W/mK). The calculated p-type ZT emerges as high as 1.51 at 300 K, significantly higher than pristine graphene (ZT =0.55 × 10-3) and γ-graphyne (ZT=0.48). With a p-type ZT of 3.36 at 600 K, holey graphyne ensures promising p-type thermoelectric performance at and above room temperatures.
Mohamed Elfatih Daoud, Dalaver Anjum and Kamran Khan (Khalifa University, United Arab Emirates) Young's modulus (Ym) plays a crucial role in the strengthening of precipitate hardened Aluminum (Al) alloys. The study presented in this paper reports the use of scanning transmission electron microscopy combined with valance electron energy loss spectroscopy (STEM-VEELS) technique for carrying out nanoscale mapping of Ym of a precipitate-hardened Al 2024 alloy. The Ym for Al metal was found to be lower than the matrix in the vicinity of S" precipitates. This method of mapping Ym at the nanoscale can be crucial to the development of next generation precipitate-hardened metal alloys.
Hamood Al Shidhani and Basim Al Farsi (Sultan Qaboos University, Oman)
Al doping in tungsten oxide alters its bandgap and reduces fluorescence intensity compared to undoped sample. This is attributed to the increased levels of nonradiative pathways in the doped samples.
15:45 - 17:15
EPS-D2-S3: Robotics, Mechatronics & Automation Engineering, Information Technology & Physical Sciences
Room 5
Chairs: Yusuf Abdullahi Adamu (Khalifa University, United Arab Emirates), Yusra Alkendi (Khalifa University of Science and Technology, United Arab Emirates)
Yusuf Abdullahi Adamu and Federico Renda (Khalifa University, United Arab Emirates); Anup Mathew (Khalifa UniversityCenter for Autonomous Robotic Systems United Arab Emirites, United Arab Emirates); Daniel Feliu Telagon (Khalifa University, United Arab Emirates)
Working in the underwater environment comes with several challenges due to the dynamics and unknown intrinsic conditions of the terrain. Sensors enrich manipulators with the ability to obtain several information from such cluttered environment. As conventional sensors are not always compatible with soft robotic manipulators due to their hyper-redundancy, new means of perception are sought. This paper presents the development of capacitive-based sensor which can be integrated into a soft flagellum used for underwater manipulation. The sensor comprises cells which are integrated in the soft robot such that 6-axis strain values can be measured. A mathematical model which allows conversion between applied strains and changes in capacitance of the sensor is presented here. Furthermore, the sensor readings are utilised as inputs to the Sorosim FEM-like basis to reconstruct the shape of the soft appendage. Preliminary progress and future works are presented in this paper.
Mahmoud ElMezain, Federico Renda, Jorge Dias and Sajid Javed (Khalifa University, United Arab Emirates); Giulia De Masi (Technology Innovation Institute, Italy)
Global Navigation Satellite Systems (GNSS) are essential in robot localization applications. However, underwater conditions render GNSS-based devices useless due to the attenuation of electromagnetic signals in water. For experimental applications, an indoor structured visual positioning system is installed with multiple monocular cameras placed at the corner of the pool, which require a time-consuming costly procedure. To overcome this problem, we propose a low-cost visual positioning system based on a quadrotor with a vertically-mounted downward-looking monocular camera to track the underwater robot. Markers were placed at the bottom of the pool to compensate the variations induced by the motion of the drone. The positioning system is based on the YOLOv5m model which was trained through transfer learning utilizing 26 thousand images of our underwater robot.
Yusra Alkendi and Yahya Zweiri (Khalifa University of Science and Technology, United Arab Emirates) Segmentation of moving objects is critical to interpret scene dynamics for robotic navigation systems. Neuromorphic vision sensors are tailored for scene motion perception because of their asynchronous nature with no motion blur, high temporal resolution, and reduced power consumption. In the current work, we propose a novel event-based motion segmentation algorithm using a Graph Transformer Neural Network, dubbed as GTNN. Our proposed algorithm processes event streams by a series of nonlinear transformations to unveil local and global spatiotemporal correlations within event graphs. Based on these correlations, events that belong to moving objects in the scene are segmented from the background. Our results reveal that GTNN outperforms several state-of-the-art methods in the presence of dynamic background variations, motion patterns, and multiple dynamic objects with varying sizes and velocities. GTNN achieves significant performance with an average increase of 9.4% and 4.5% in terms of motion segmentation accuracy (IoU%) and detection rate, respectively.
16:30 Torque-based Stability Optimization for a Wheel-legged Lunar Rover
Mubarak Yakubu (Khalifa University, United Arab Emirates); Rana Azzam (Khalifa University Center for Autonomous Rototics, United Arab Emirates); Yahya Zweiri (Khalifa University of Science and Technology, United Arab Emirates)
Stability of lunar rovers is necessary especially during motion across uneven terrains. Lunar rovers designed with wheeled mobility systems such as the Rashid rover (R1) have a fixed position of center of gravity relative to the wheels contact patches. Hence, the stability margin cannot be easily controlled, and the rover is prone to tip-over while traversing complex lunar terrains. In this work, a wheel-legged lunar rover (R2) is developed, and its stability is optimized based on measured torque at the leg arm joints. A normalized distance-based stability metric shows that R2 has more potential to traverse through complex lunar terrain than the R1 lunar rover.
16:45 A Neuromorphic Dataset for Object Segmentation in1 Indoor
Xiaoqian Huang (Khalifa University, United Arab Emirates); Yahya Zweiri (Khalifa University of Science and Technology, United Arab Emirates)
Object segmentation is a fundamental task of robotic and computer vision applications. Taking advantage of an event-based camera, the issues of motion blur, low dynamic range and low time sampling of standard cameras can all be addressed. However, there is a lack of event-based datasets dedicated to the benchmarking of segmentation, especially providing additional depth information on individual events. This paper proposes a new Event-based Segmentation Dataset (ESD), a high-quality 3D spatial and temporal dataset for object segmentation in an indoor cluttered environment. Our proposed dataset ESD comprised of 146 sequences with 14,331 RGB frames are manually annotated with instance masks. Overall 21.90 million and 20.82 million events from left and right event-based cameras are collected, respectively. RGB frames are manually labeled and event sequences are autolabeled using RGB frames.
15:45 - 17:15
EPS-D2-S3: Water, Environment & Sustainability
Engineering, Information Technology & Physical Sciences
Room 6
Chairs: Arwa Najah Abdulmawjood (Khalifa University, United Arab Emirates), Hooralain Bushnaq (Khalifa University, United Arab Emirates)
Jamiu Olanrewaju Eniola, Banu Sizirici and Ibrahim Yildiz (Khalifa University, United Arab Emirates) Biochar was fabricated using date frond feedstock and modified by coating with iron oxide via hydrothermal treatment. The modified biochar was investigated for the removal of model pollutant methylene blue from water. Structural and morphological properties of the modified biochar (BiocharFexOy) were studied using the Scanning electron microscope which confirms the deposition of iron oxide on the biochar. The adsorption capacity of the modified biochar (110 mg/g at pH 8, Temp 20 °C) was found to be higher than the pure Biochar (90 mg/g at pH 8, Temp 20 °C) and FexOy (78 Mg/g at pH 8, Temp 20 °C). In addition, the adsorption of Methylene blue by the modified biochar showed an antagonistic effect in the presence of HCO3- and NaCl salt but showed a synergistic effect in the presence of Cu (II) ions. Also, the adsorption of the MB was found to be endothermic.
16:00 Amphiphilic cellulose acetate membrane incorporated with MoS2 nanospheres for oil in water separation
Zainab AlAnsari (Khalifa University of Science and Technology, United Arab Emirates)
In this work, an amphiphilic MoS2 nanosphere/cellulose acetate (AMC) membrane with a hydrophobic component of MoS2 nanoparticles and a hydrophilic component of cellulose acetate (CA) polymer was fabricated and evaluated for oil-in-water separation. The AMC membrane embedded with MoS2 nanospheres in the hydrophilic CA membrane delivered dual functionalities: (1) adsorbing and releasing the oil droplets and preventing pore plugging in the membrane due to nanoparticle's hydrophobic dispersive surface characteristics; (2) fouling resistance and high water permeation due to that the hydrophilic cellulose acetate polymer formed a hydration layer to reduce the hydrophobic toluene droplet interaction with membrane and promoted water molecules passage. The oil removal performance of the membrane under different initial oil concentrations, salt concentrations, and pH conditions was investigated by using a filtration assembly. The amphiphilic MoS2 nanosphere/cellulose acetate membranes with heterogeneous wettability exhibited great potential for the treatment of industrial oily wastewater and grease-containing wastewater.
16:15 Assessing The Potential of Agrivoltaic in Arid
Mohammad J Abuolwan and Riaan V Der Merwe (Khalifa University, United Arab Emirates)
The co-location of photovoltaic and crop production -called Agrophotovoltaic (APV) - is expected to possess an enormous potential for marginal land reclamation and the enhancement of solar energy production efficiency in the arid semi-arid regions of the world. My research project aimed to quantify the hydrological performance in arid regions through a long-term water balance simulation. Mainly, I compared the water volume used for irrigation in an Agrivoltaic installation to an ordinary open-field one. I did this simulation using stochastic modeling of the rainfall input and the salinity parameters. This research also explored the effects of salinity accumulation in the soil, as this is one prevalent issue that restricts the viability of agriculture. The study also implemented standard performance statistical measures and ad-hoc models of surface energy closure, plant growth, and transparent PV efficiency under the UAE climatic and environmental forcing.
Arwa Najah Abdulmawjood (Khalifa University, United Arab Emirates); Maryam Rashed AlShehhi (Khalifa University, Civil, Infrastructure and Environmental Engineering & MIT, United Arab Emirates); Riaan V Der Merwe (Khalifa University, United Arab Emirates)
Relationships of backscattering coefficients with the physical and biological properties in the hypersaline waters like the Arabian Gulf are poorly studied, and may differ from other nonhypersaline waters which contribute the majority of data used to develop and parameterize optical models. Herein, we analyze the covariation of seawater backscattering coefficients bb( ) based on in-situ measurement of total backscattering. The in-situ measurements have been collected in the southern region of the Arabian Gulf waters which are characterized with the hyper salinity and high evaporation rate. The results showed that bb( ) during the winter season is higher than the summer season which could be due to the mixed effect of the surface sedimentation and the well-mixed column during winter. Based on this study, we found that the hypersaline waters of the Gulf have bb scattering patterns that are consistent with the previously reported studies elsewhere.
16:45 Reviewing the Potential of Phthalocyanines as sensitizers for photodynamic inactivation of microorganisms in wastewater treatment membranes
Hooralain Bushnaq and Ludovic Dumée (Khalifa University, United Arab Emirates)
Multi-drug resistant (MDR) microorganisms are a growing concern in the field of water treatment as they are resistant to commonly used disinfectants, which makes them difficult to control. MDR microorganisms can develop resistance through a variety of mechanisms, including genetic mutation, horizontal gene transfer, and overuse of antibiotics. Wastewater treatment plants can act as hotspots for horizontal gene transfer expanding the MDR organisms' quantity to the environment through discharge. Photodynamic Inactivation (PDI) is one promising method for disinfecting wastewater. Phthalocyanines are a class of photosensitizers with unique structural and optical properties that make them suitable for use in PDI. This work is focused on reviewing the recent research on the use of phthalocyanines as sensitizers in PDI of MDR microorganisms in wastewater treatment membranes, including their mechanism of incorporation, the factors that affect their efficiency, and the challenges that need to be addressed for the inactivation of MDR microorganisms.
15:45 - 16:30
Poster-D2-S3-A: Poster Session - 3A
All Tracks
Room: Ballroom 3&4
Chairs: Rizwan Ali (Khalifa University, United Arab Emirates), Ahmad Obeid (Khalifa University, United Arab Emirates), Amna Samjeed (Khalifa University, United Arab Emirates)
Ali Said Al Sawafi (Sultan Qaboos University (SQU), Oman & Petroleum Development Oman (PDO) Company, Oman); Alireza Hasan Kazemi (Sultan Qaboos University, Oman)
Electrical Submersible Pump (ESP) is the most competent and consistent artificial lift method for medium to high production rate. The capital cost of the pump is high, but it is ignorable compared to losses of long production interrupts. Machine learning is a branch of artificial intelligence, and it gains substantial attention around the engineering world because of its predictive power. This paper aims to build machine learning model to predict the lifespan of Electrical Submersible Pumps. More than 100 ESP failure cases were gathered and standardize from a specific oilfield in Oman. Twelve features were selected out of 32 collected features. Six algorithms were used to develop the ESP lifespan model. Support Vector Regressor was selected since it was successful to predict the ESP run-life with a mean absolute error of 27 days. These results will help the well operators to reduce the costs caused by deferred production.
Mohamed Nagy Mostafa, Nagy and Majid Khonji (Khalifa University Center for Autonomous Robotic Systems (KUCARS), Department of Electrical Engineering and Computer Sci)
Multi-object tracking (MOT) is essential for autonomous vehicles to navigate safely in the environment, particularly in crowded conditions like urban areas. However, with the recent cutting-edge research on this topic, MOT for objects under occlusion remains challenging when the occluded object becomes not observable by installed sensors. The recent attempts of the current research work use a temporary memory to store data of the tracked objects that allows recovering them from potential occlusions. The memory's lifetime is usually short to avoid aggravating the computational time during object association and eventually halt the overall approach. Hence, the research loses objects in some occlusion scenarios, mainly long occlusions, because of releasing objects' data from the memory before the occlusion ends. In this paper, we propose a light MOT method that keeps long-term memory for the tracked objects without impacting the computational speed. The approach outperforms SOTA methods in speed and tracking performance.
Hanan M Alshorbaji (Khalifa University, United Arab Emirates); Remilekun A Shittu (Khalifa University & None, United Arab Emirates); Fawzi Banat (Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates); Rashid Abu Al-Rub (Khalifa University-ADAM Center, United Arab Emirates); Tae-Yeon Kim (Khalifa University, United Arab Emirates)
The effect of date syrup-based graphene sand hybrid (D-GSH) on the mechanical properties of cement composites was investigated experimentally. In this study, cubic cement paste samples of 5 cm dimensions were prepared and tested under compression for varying curing periods. The enhancement in the compressive strength upon the addition of 0.1 % and 0.2 % D-GSH (of cement weight) was compared to that of cement paste samples having the same concentrations of dune sand and plain cement paste samples, to evaluate the effectiveness of date syrup-based graphene sheets covering the sand particles in enhancing the mechanical performance. For almost all curing ages, samples reinforced with D-GSH showed noticeable enhancement in the compressive strength compared to the remaining samples.
Issa Zaiter (Khalifa University, United Arab Emirates)
The UAE pledged significant reductions in carbon emissions from the national energy system with an ambitious 2030 Nationally Determined Contributions (NDC) targeting a 31% reduction in total CO2 emissions compared to the 2016 business-as-usual scenario. The UAE's 2050 energy strategy aims for a 50% clean energy supply for the on-grid power generation sector, of which 44% will come from renewable energy and 6% from nuclear energy, and a 70%CO2 emissions reduction compared to the business-as-usual scenario. The industrial sector in the UAE, which is one of the primary drivers of the economy, consumes over half of the country's total energy consumption, making it a significant carbon-emitter sector. This paper reviews the UAE's energy system status and carbon emissions profile. It explores the prospects for hydrogen energy utilization in the industrial sector. It establishes the Green-to-Green system framework to guide the energy system planning in the country toward sustainability.
Characterization of FDM Manufactured Novel Hybrid Plate-TPMS Lattices under Quasi-static Compression
Mohamed M R Naji (Khalifa University & Advanced Digital and Additive Manufacturing Center, United Arab Emirates); Jamal Sheikh-Ahmad (Western New England University, USA); Rashid Abu Al-Rub (Khalifa University-ADAM Center, United Arab Emirates); Fahad Almaskari (Khalifa University, United Arab Emirates)
The recent evolution of additive manufacturing provides the ability to create complex geometries without the need for additional machining and joining operations. As such, the scientific community has been interested in optimizing lattice structured materials, which are renowned for their exceptional mechanical behavior in lightweight applications and are increasingly in demand for load-absorbing applications. This study introduces novel hybrid lattice structures, consisting of the combination of plate and triply periodic minimal surfaces lattices. Elastic and plastic mechanical properties of the fused deposition modelling manufactured proposed lattices were investigated experimentally at several relative densities. It was generally found that the hybrid Plate + TPMS lattices outperformed the TPMS lattices of the same relative densities in terms of specific energy absorption, specific compressive modulus, and yield strength. The Finite Element Analysis software Abaqus was utilized to validate the results of the quasi-static compression experiments.
Charcoalified plant remains from the Bicheno 5 core, Tasmania, Australia: Evidence of wildfire during the Mid Triassic Indodeep Ghoshal and Aisha Al Suwaidi (Khalifa University, United Arab Emirates) Fossilized charcoal, the main residue of wildfire is vividly documented in the Early to Late Triassic deposits of the Bicheno 5 well from Tasmania, Australia. Fossil charcoals helps us in understanding the effect of wildfire during the geological ages. These charcoals are incompletely combusted plant tissues that are generated from different kinds of plant organs formed due to a process called as pyrolysis, where there is minimum to zero oxygen and abundance of heat. These charcoals are recorded in the sedimentary deposits at Bicheno, Tasmania. Fossil charcoal found in sediments is typically acknowledged as a direct indicator for the occurrence of paleo-wildfires. The anatomical features of the charcoal samples are studied using a Field Emission Scanning Electron Microscope. The studied macroscopic charcoal fragments showed homogenized plant cell walls and are excellently preserved.
Haptic Guided Target Locking Mechanism to aid Tele-operation in Unstructured Marine Environment
Vidya S Sudevan and Sajid Javed (Khalifa University, United Arab Emirates); Hamad Karki (Mechanical Engineering, Khalifa University, United Arab Emirates); Giulia De Masi (Technology Innovation Institute, Italy); Jorge Dias (Khalifa University, United Arab Emirates)
Underwater infrastructure inspection is critical to ensure the safety and continuity of operation and any necessary maintenance. Subsea pipeline health assessments are currently performed manually and are quite complex and expensive. Pipeline localization is pivotal when inspecting marine infrastructure. This paper proposes a haptic-guided target-locking mechanism to aid teleoperation in unstructured marine environments. A vision module identifies and generates the distance between the centroid of the pipeline structure and the center of the image frame in the presented architecture. The haptic-guided target locking module then utilizes this distance to quantify the haptic rendering force for the haptic device. It ensures that the ROV is positioned within the threshold region. The ROV controller module generates the thruster commands required for ROV operation. This paper explains the proposed architecture's theoretical formulation and the vision module results.
Omar A Forrest (Khalifa University, United Arab Emirates)
In this work, we revisit the papers entitled "Optimal control of vaccination and treatment for an SIR epidemiological model" and "Optimal impulse vaccination approach for an SIR control model with short-term immunity." Then, combining both ideas, we arrived at a more general model that provides a more realistic approach for studying Covid-19 data using impulsive vaccination.
Ismail M Salim (Khalifa University, United Arab Emirates); Abdallah Sofiane Berrouk (Khalifa University & SAN Campus, United Arab Emirates)
In this work, the characteristics of the catalysts used to drive the Dry Methane Reforming (DMR) reaction are analyzed by data-driven modeling. Machine learning techniques are expected to increase our understanding of how these different factors affect the DMR reaction, which is essential for the fast and successful deployment of DMR in various applications. Therefore, it is proposed to build a framework that can be used to predict the catalyst's activity and other performance criteria. This framework is based on dimensionality reduction techniques, like Principal Component Analysis (PCA) and an Artificial Neural Network (ANN) model. It is expected to be utilized confidently to predict the catalyst performance for the DMR reaction. Experimental data from previously published resources is proposed to train and test this model. Finally, the best catalyst features and new catalyst formulations could be determined based on these results.
High-resolution stratigraphy of the Upper Triassic sediment succession in the Musandam, UAE Azeem Shah and Dominik Hennhoefer (Khalifa University of Science and Technology, United Arab Emirates)
The Triassic period is bounded by two major extinction events and represents a very dynamic geologic time period having several climatic swings. Most of the previous studies of the Triassic include the stratigraphic successions at the Triassic Jurassic boundary and climatic and ecological changes through the middle and upper part of the Triassic have not been described in many parts of the world. In UAE the existing literature is also concentrated on the Triassic Jurassic boundary event. Musandam area in northern emirates exposes a complete middle to upper Triassic stratigraphic succession. Geochemical and cyclostratigrahic investigations are therefore required and the results could also be used as reference for correlations in other areas for sedimentary successions of similar age.
Numerical Simulation of Forced Imbibition Based on Centrifuge Experiment of Middle East Carbonate Reservoir Cores
Mohsen Osman (Khalifa University, United Arab Emirates); Emad Walid Al Shalabi and Waleed Alameri (Khalifa University of Science and Technology, United Arab Emirates)
Capillary pressure plays an important role in governing the fluid flow in the reservoir. Experiments such as the centrifuge method are used to determine capillary pressure. Analytical and numerical solutions supplement the centrifuge experiment to obtain a more accurate and smoother capillary pressure curve. Conventional carbonate reservoirs of the Middle East pose challenges in simulation due to their complex nature, including mixed-to-oil wettability and heterogeneity. Commercial software that simulates the centrifuge experiment have mathematical models that are fixed and built independently of core properties, limiting flexibility and reducing accuracy for variation in core properties. They are also expensive to purchase and maintain. The objective of this research is to develop a model using open-source software that can accurately simulate the forced imbibition based on the centrifuge experiment for Middle East carbonate reservoir cores in order to provide a cheaper alternative to the expensive software.
• Dr. Aamna Alshehhi, Khalifa University
• Prof. Abdel Nasser El-Shorbagi, University of Sharjah
Dr. Abdu Adem, Khalifa University
Dr. Abdulrahim Shamayleh, American University of Sharjah
Dr. Abdulrahman Alraeesi, United Arab Emirates University
• Prof. Abdulrazag Zekri, United Arab Emirates University
• Dr. Ademola Mustapha, Khalifa University
• Dr. Adil Al-Tamimi, American University of Sharjah
Dr. Afnan Boutrid, University of Wollongong in Dubai
Dr. Agathe Guilloux, Mohammed Bin Zayed University of Artificial Intelligence
• Dr. Ahmad Mayyas, Khalifa University
• Dr. Ahmed Aidan, American University of Sharjah
Dr. Ahmed Alhusban, University of Sharjah
Dr. Ahmed Awan, Ajman University
Dr. Ahmed Imran, Ajman University
• Prof. Ahmed Khedr, University of Sharjah
• Dr. Ahmed Slimani, Sorbonne University Abu Dhabi
• Dr. Ahsan Khandoker, Khalifa University
Dr. Ahsan Qurashi, Khalifa University
Dr. Ajinkya Kukarni, Mohammed Bin Zayed University of Artificial Intelligence
• Dr. Alaa Ahmed, United Arab Emirates University
• Dr. Albert Wijeweera, Khalifa University
Prof. Ali Al-Marzouqi, United Arab Emirates University
Dr. Ali Artaman, Zayed University
Dr. Ali Nassif, University of Sharjah
• Dr. Ali Trabolsi, New York University Abu Dhabi
• Dr. Alison Thirlwall, University of Wollongong in Dubai
Dr. Amani Al-Othman, American University of Sharjah
Dr. Ameena Al Sumaiti, Khalifa University
Dr. Amer Zakaria, American University of Sharjah
Dr. Amna Khalid, University of Sharjah
• Prof. Anas AlAzzam, Khalifa University
• Dr. Andreas Henschel, Khalifa University
Dr. Andrei Sleptchenko, Khalifa University
Dr. Aruna Nandasena, United Arab Emirates University
Dr. Ashraf Aly Hassan, United Arab Emirates University
• Prof. Ashraf Elnagar, Sharjah University
• Dr. Asli Hassan, Khalifa University
Dr. Atef Abdrabou, United Arab Emirates University
Dr. Athanasios Tom Skarpas, Khalifa University
• Dr. Aya Shanti, Khalifa University
• Dr. Azhar Talal, United Arab Emirates University
Dr. Azmat Rasul, Zayed University
Dr. Azza Ahmed, Zayed University
Dr. B Darras, American University of Sharjah
• Dr. Banu Sizirici, Khalifa University
• Dr. Basem Alomari, Khalifa University
• Dr. Bashar El-khasawneh, Khalifa University
Dr. Bassam Abdullah, University of Sharjah
Dr. Belal Al Zaitone, United Arab Emirates University
Dr. Bin Gu, Mohammed Bin Zayed University of Artificial
Intelligence
• Dr. Blaise Tardy, Khalifa University
Prof. Carol Genetti, New York University Abu Dhabi
Dr. Chan Yeun, Khalifa University
Dr. Cheng Kui, Khalifa University
• Dr. Chung Cho, Khalifa University
• Prof. Daniel Choi, Khalifa University
• Prof. Davor Svetinovic, Khalifa University
Dr. Deepak Puthal, Khalifa University
Prof. Dirar Mohammad Al Homouz, Khalifa University
Dr. Elarbi Badidi, United Arab Emirates University
• Prof. Emad Alhseinat, Khalifa University
• Dr. Emilio Porcu, Khalifa University
Dr. Eslam Nofal, University of Sharjah
Prof. Evan K. Paleologos, Abu Dhabi University
Dr. Fadi Jaber, Ajman University
• Dr. Falah Awwad, United Arab Emirates University
• Dr. Farah Al Marzooq, United Arab Emirates University
Dr. Fatma Hegazy, University of Sharjah
Dr. Fatme Al-Anouti, Zayed University
Dr. Flevy Lasrado, University of Wollongong in Dubai
Dr. Gaelle Picherit-Duthler, Zayed University
• Dr. Ghaleb Husseini, American University of Sharjah
• Dr. Gianluca Mola, Sorbonne University Abu Dhabi
Dr. Grace Younes, Sorbonne University Abu Dhabi
Dr. Gus Xia, Mohammed Bin Zayed University of Artificial
Intelligence
• Dr. Habib-ur Rehman, American University of Sharjah
• Prof. Hadi Susanto, Khalifa University
Dr. Haifa Ben-Romdhane, Sorbonne University Abu Dhabi
Dr. Haila AlDosari, United Arab Emirates University
• Dr. Haitham Elshimy, United Arab Emirates University
Dr. Hala Thabet, Zayed University
Dr. Hamdan Hamdan, Khalifa University
Dr. Hamdy Hamed, Ajman University
• Dr. Hamid Alhaj, University of Sharjah
• Dr. Hanan Aldarmaki, Mohammed Bin Zayed University of Artificial Intelligence
Dr. Hao Li, Mohammed Bin Zayed University of Artificial Intelligence
• Dr. Haroon Khan, University of Wollongong in Dubai
• Prof. Hasan Al-Nashash, American University of Sharjah
• Dr. Hasan Mir, American University of Sharjah
Dr. Hasan Zidan, Ajman University
Dr. Hebatallah Al-Sakaji, United Arab Emirates University
Dr. Hussam Alsharideh, American University of Sharjah
• Dr. Huwida Said, Zayed University
• Prof. Ibrahim (Abe) Elfadel, Khalifa University
Dr. Imad Barsoum, Khalifa University
Dr. Imran Afgan, Khalifa University
Prof. Inas Alnashef, Khalifa University
• Dr. In-Ju Kim, University of Sharjah
• Prof. Ioannis Zuburtikudis, Abu Dhabi University
• Dr. Iqbal Jibran, Zayed University
Dr. Isam Janajreh, Khalifa University
Prof. Ismail MK Saadoun, University of Sharjah
Dr. Jalal Taneera, University of Sharjah
• Dr. James Redman, Zayed University
• Dr. Jeongmoo Huh, United Arab Emirates University
Dr. Jinyu Tang, United Arab Emirates University
Dr. John Chai, United Arab Emirates University
Dr. Joumana ElRifai, Sorbonne University Abu Dhabi
• Dr. Joy Tannous, United Arab Emirates University
• Dr. Karnail Singh, American University of Sharjah
Prof. Karthik Nandakumar, Mohammed Bin Zayed University of Artificial Intelligence
Dr. Kashif Saleem, University of Wollongong in Dubai
Dr. Kaushik Sivaramakrishnan, United Arab Emirates University
• Prof. Khaled Alawadi, Khalifa University
Prof. Khaled Salah, Khalifa University
Prof. Khaled Shuaib, United Arab Emirates University
Dr. Khalid Al Ali, Khalifa University
• Prof. Khalid Al Marri, British University in Dubai
• Dr. Khalid Ammar, Ajman University
• Prof. Khalil Khalil, University of Sharjah
Prof. Kosmas Pavlopoulos, Sorbonne University Abu Dhabi
Dr. Kyle Msall, Zayed University
Dr. Labeeb Bsoul, Khalifa University
• Dr. Lama Tarsissi, Sorbonne University Abu Dhabi
• Dr. Lani San Antonio, Zayed University
Prof. Leontios Hadjileontiadis, Khalifa University
Prof. Lianxi Zhengg, Khalifa University
Prof. Lotfi Romdhane, American University of Sharjah
• Prof. Lutfi Albasha, American University of Sharjah
• Dr. Maen Alkhader, American University of Sharjah
• Dr. Magdi El-Emam, American University of Sharjah
Dr. Maguy Abi Jaoude, Khalifa University
Dr. Maher Maalouf, Khalifa University
Prof. Mahmoud Al-Qutayri, Khalifa University
• Dr. Mahmoud Awad, American University of Sharjah
• Prof. Mahmoud Ismail, American University of Sharjah
Dr. Maisa El Gamal, Zayed University
Dr. Malick Ndiaye, American University of Sharjah
Dr. Malik Khalfan, Khalifa University
• Dr. Mamoun Abdel-Hafez, American University of Sharjah
• Dr. Martin Takac, Mohammed Bin Zayed University of Artificial Intelligence
Dr. Maruf Mortula, American University of Sharjah
Dr. Marwan El-Rich, Khalifa University
Dr. Maryam AlShehhi, Khalifa University
• Prof. Mauro Pessia, United Arab Emirates University
• Dr. Mecit Can Emre Simsekler, Khalifa University
Dr. Mehradad Mozayyan, Zayed University
Dr. Mihai Sanduleanu, Khalifa University
Dr. Mirella Elkadi, Khalifa University
• Dr. Mohamad Al-Gamal, University of Sharjah
• Dr. Mohamad Bataineh, Khalifa University
Dr. Mohamed Abdelgawad, American University of Sharjah
Dr. Mohamed Alhosani, United Arab Emirates University
Prof. Mohamed Ali, Khalifa University
Dr. Mohamed Ashour, Zayed University
• Dr. Mohamed Atef, United Arab Emirates University
• Prof. Mohamed Ben Daya, American University of Sharjah
Prof. Mohamed Deriche, Ajman University
Prof. Mohamed El-Maarry, Khalifa University
Prof. Mohamed El-Tarhuni, American University of Sharjah
• Prof. Mohamed Hassan, American University of Sharjah
• Prof. Mohamed Jaber, Ajman University
• Dr. Mohamed Kamra, United Arab Emirates University
Dr. Mohamed M. Khalel, Ajman University
Dr. Mohamed Okasha, United Arab Emirates University
Dr. Mohamed Saad, University of Sharjah
• Dr. Mohammad AlBetar, Ajman University
• Dr. Mohammad AlHamaydeh, American University of Sharjah
Dr. Mohammad Alkhedher, Abu Dhabi University
Dr. Mohammad AlShabi, University of Sharjah
Dr. Mohammad Alsuwaidi, Khalifa University
• Dr. Mohammad Awad, Khalifa University
• Dr. Mohammad Hamdan, American University of Sharjah
• Dr. Mohammad Jaradat, American University of Sharjah
Prof. Mohammad Nazzal, American University of Sharjah
Dr. Mohammad Tawfik, United Arab Emirates University
Dr. Mohammad Yaqub, Mohammed Bin Zayed University of Artificial Intelligence
• Dr. Mohammed Mediani, United Arab Emirates University
Prof. Mohammednoor Altarawneh, United Arab Emirates University
Dr. Mohd Nazir, Zayed University
• Dr. Moh’d Rezeq, Khalifa University
• Dr. Mostafa ElSayed, United Arab Emirates University
• Dr. Mousa Hussein, United Arab Emirates University
Dr. Muhammad Hashmet, United Arab Emirates University
Dr. Muhammad Iqbal, United Arab Emirates University
Dr. Muhammad Shah, Ajman University
• Dr. Muhammad Tahir, United Arab Emirates University
• Prof. Muhammed Syam, United Arab Emirates University
Dr. Mujeeb Rahman Kanhirakadavath, Ajman University
Dr. Muna Amr, University of Wollongong in Dubai
Dr. Musaab Elhag, United Arab Emirates University
• Dr. Nabil Abdel Jabbar, American University of Sharjah
• Dr. Naif Abdelaziz Darwish, American University of Sharjah
Prof. Naoufel Werghi, Khalifa University
Dr. Narjes Sharif-Askari, University of Sharjah
Dr. Nayef Ghasem, United Arab Emirates University
Dr. Nayla ElKork, Khalifa University
• Dr. Nelson Soares, University of Sharjah
• Dr. Nicholas Dimmitt, Khalifa University
Dr. Nicolas Calvet, Khalifa University
Dr. Omar Awayssa, United Arab Emirates University
Dr. Ornanong Benbourenane, Zayed University
• Dr. Osama Ibrahim, University of Sharjah
• Prof. Osama Mohamed, Abu Dhabi University
• Dr. Oualid Hammi, American University of Sharjah
Dr. Parag Kulkarni, United Arab Emirates University
Dr. Paul Nancarrow, American University of Sharjah
Dr. Peter Corridon, Khalifa University
• Dr. Prikshat Verma, University of Wollongong in Dubai
• Dr. Rabeb Mizouni, Khalifa University
Dr. Rached Dhaouadi, American University of Sharjah
Prof. Rachid Chebbi, American University of Sharjah
Dr. Rachid Errouissi, United Arab Emirates University
• Dr. Raja Jayaraman, Khalifa University
• Dr. Rakhee Ramakrishnan, University of Sharjah
• Dr. Rana Sabouni, American University of Sharjah
Dr. Rania Harati, University of Sharjah
Dr. Rao Anwer, Mohammed Bin Zayed University of Artificial Intelligence
• Dr. Riaan Der Merwe, Khalifa University
• Prof. Rifat Hamoudi, University of Sharjah
Dr. Roland Young, United Arab Emirates University
Dr. Ruben Solozabal, Mohammed Bin Zayed University of Artificial Intelligence
• Dr. Saadat Alhashmi, University of Sharjah
• Dr. Sajid Javed, Khalifa University
• Dr. Salah Haridy, University of Sharjah
Prof. Salam Dhou, American University of Sharjah
Dr. Salam Fraihat, Ajman University
Dr. Saleh Ibrahim, Khalifa University
• Dr. Salman Khan, Mohammed Bin Zayed University of Artificial Intelligence
Dr. Salwa Beheiry, American University of Sharjah
Dr. Sam Thomas, Ajman University
Dr. Sameer Al-Asheh, American University of Sharjah
• Dr. Sameh Soliman, University of Sharjah
• Prof. Sami Tabsh, American University of Sharjah
Dr. Samir Emam, American University of Sharjah
Dr. Sarah Khan, Zayed University
Dr. Sathish Kannan, American University of Sharjah
Dr. Semiyu Aderibigbe, University of Sharjah
• Dr. Seter Atabay, American University of Sharjah
• Dr. Sharif Makhadmeh, Ajman University
Dr. Sharmarke Mohamed, Khalifa University
Dr. Sherif Karam, United Arab Emirates University
Dr. Siobhan O’Sullivan, Khalifa University
• Dr. Stavros Christopoulos, Sorbonne University Abu Dhabi
• Prof. Stephen P Wilkinson, University of Wollongong in Dubai
• Dr. Sufian Abedrabbo, Khalifa University
Dr. Sung Lee, Khalifa University
Dr. Sunil Mundra, United Arab Emirates University
Dr. Tadahiro Kishida, Khalifa University
• Dr. Tae-Yeon Kim, Khalifa University
• Prof. Taleb Ibrahim, American University of Sharjah
Dr. Tarek EL-Fouly, Khalifa University
Dr. Teresa Lynn, Mohammed Bin Zayed University of Artificial Intelligence
• Dr. Thanh Vu, University of Sharjah
• Dr. Tiffany Cone, Zayed University
• Dr. Tom Skarpas, Khalifa University
Dr. Usman Tariq, American University of Sharjah
Dr. Viktor Bodi, United Arab Emirates University
Prof. Vincent Chan, Khalifa University
• Dr. Vladimir Parezanovic, Khalifa University
• Dr. Wael Abuzaid, American University of Sharjah
Prof. Wael Zaki, Khalifa University
Dr. Wafaa SH Ramadan, University of Sharjah
Prof. Wail Gueaieb, Mohammed Bin Zayed University of Artificial Intelligence
• Dr. Waleed Ahmed, United Arab Emirates University
• Prof. Wathiq Mansoor, University of Dubai
Dr. Wiam Elshami, University of Sharjah
Dr. Yarjan Abdulsamad, Khalifa University
Prof. Yaser Greish, United Arab Emirates University
• Dr. Yassir Makkawi, American University of Sharjah
• Dr. Younes Alblooshi, United Arab Emirates University
Dr. Young-Ji Byon, Khalifa University
Dr. Zarook Shareefdeen, American University of Sharjah
Dr. Zeyar Aung, Khalifa University
• Dr. Zied Bahroun, American University of Sharjah
• Dr. Zulifqar Memon, Ajman University
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