Celebrate Gannon 2025 by Gannon University

April 25, 2025

Welcome from Dr. Walter Iwanenko, President

Today we celebrate the research, scholarship, engagement and fine arts collaborations between our students, faculty and staff through our annual Celebrate Gannon event.

Celebrate Gannon represents an incredible milestone for many of our students who have diligently pursued scholarly and creative projects throughout the academic year, and it is a testament to the work of our faculty who teach, mentor and encourage them along the way

During our university’s centennial year, we take extra care to reflect on the dedication of our students and their mentors and look forward to inspiring the next century of innovation, leadership and service.

Please join us in celebrating these incredible achievements as we Celebrate Gannon.

Thank you, and God bless

Welcome from Dr. Sarah Ewing, Provost & Vice President for Student Experience

We are grateful you could join us in highlighting the remarkable achievements of our students with the support of their faculty and staff at the annual showcase of academic excellence and creativity Celebrate Gannon!

For 100 years, Gannon has inspired generations of students to lead with purpose and make an impact in their communities. Celebrate Gannon is a wonderful opportunity for undergraduate and graduate students to share their academic triumphs, creative undertakings and scholarly endeavors with the campus community. We are so proud of each students’ commitment to the hard work, dedication and resilience necessary to prepare their work for dissemination with all of you.

We recognize that students’ achievements build upon the unwavering support and mentorship of their faculty and staff who encourage and guide their path toward discovery, creativity and new knowledge Today, we honor the collaboration and academic achievements of our students and their mentors from throughout the academic year

Thank you for Celebrating Gannon by engaging with our talented and impressive Gannon Knights! Celebrate Gannon 2025

Welcome to Celebrate Gannon 2025

Celebrate Gannon is an annual event at Gannon University that celebrates research, scholarship, engagement and fine art collaborations between our students and our faculty and staff Students present their work via artwork, conference posters, and platform talks. Classes are canceled across campus so that the entire community can gather and learn from one another.

Every project is the result of students mentoring with faculty and staff on projects that evolve out of course work, independent research projects and student service projects. It is the cumulation of months, if not years, worth of work, presented to the Gannon University community. Over the years, thousands of students have been able to share their first professional presentation.

Within this document, you can view the combined work of our Erie campus and Ruskin campus to fully share the accomplishments with our whole Gannon Family

The following categories are used to describe the area under which each presentation falls.

ERIE

Engagement projects share students’ significant learning in activities outside of the classroom, such as public service in and around Erie as well as service-learning trips. “Engagement” presentations must cite and make explicit connections to outside research that informed the student learning (i.e. Catholic Social Teaching, leadership theory, etc.).

Fine Arts projects are creative works in the written, visual and performance arts. Student presentations will be in the format of a platform presentation focused upon their inspiration, process, and product. Eligible projects could include course-related writing, visual, and performing arts (performance, design, and direction).

Research & Scholarship eligible projects could include research studies, case studies, and independent study projects completed with a mentor, the analysis of literature or scholarly texts, or scholarly exposition that is typical within a particular discipline.

Capstone projects highlight the innovative and multidisciplinary projects developed by senior students as part of their capstone experience. These projects tackle real-world challenges, integrating cutting-edge technologies, research, and industry collaboration.

RUSKIN

Healthcare Initiative & Community Engagement projects share students’ significant learning in activities outside of the classroom, such as public service in and around the community as well as service-learning trips. “Engagement” presentations must cite and make explicit connections to outside research that informed the student learning.

Research & Scholarship projects are based on academic inquiry in a discipline or among disciplines. Eligible projects could include research studies, case studies, independent study projects completed with a mentor, the analysis of literature or scholarly texts, or scholarly exposition that is typical within a particular discipline

Poster Locations on Erie Campus – Yehl Ballroom

Poster Locations in Hagerty Lounge on Erie Campus – Outside of Room 219

Posters 38-45 107-118 131-134

Poster Locations in The Deck – Beyer Hall

Posters 46-65

ERIE UNDERGRADUATE FINE ARTS PRESENTATIONS

Presentation: 1

Title: VITRUVIUS: Influencer of Art and Architecture for Over 2,000 years

Abstract: Vitruvius, a 1st-century BC Roman architect, is renowned for de Architectura, which defines beauty, durability, and utility in art and architecture His classical orders has been hand-copied for over 2,000 years My students in Erie Architecture and Creative Visual Arts continued this tradition with their own copies

Presenter(s): Thomas Edmonds

Sponsoring Department: School of Communication and Arts

Presentation: 2

Title: Black head of the 'Tiamat’

Abstract: The students in Puppetry (ARTS 253) explore the art of storytelling through the medium of puppets. In small groups, students develop scripts, build puppets, rehearse, and perform. The puppets on display today are inspired by the ancient Chinese tradition of shadow puppetry. Ancient puppets were skillfully cut from thin leather that was tanned and dyed; a tradition that is passed on through generations of artists. Our shadow puppets are made from the humblest of materials; posterboard, foamcore, brads, tape, and wooden rods yet they carry on the tradition of telling stories with shadows just the same.

Presenter(s): Madelyn Bohrer and Bella Fried

Sponsoring Department: Theatre

Mentor(s): Angela Howell

Presentation: 3

Title: Blue head of the 'Tiamat'

Presenter(s): Madelyn Bohrer and Bella Fried

Sponsoring Department: Theatre

Mentor(s): Angela Howell

Presentation: 4

Title: 'Bugbears’

Presenter(s): Madelyn Bohrer and Bella Fried

Sponsoring Department: Theatre

Mentor(s): Angela Howell

Presentation: 5

Title: 'Cobolds'

Presenter(s): Madelyn Bohrer and Bella Fried

Sponsoring Department: Theatre

Mentor(s): Angela Howell

Presentation: 6

Title: 'Evil Gaby' and 'Evil Tina'

Presenter(s): Madelyn Bohrer and Bella Fried

Sponsoring Department: Theatre

Mentor(s): Angela Howell

Presentation: 7

Title: 'Green head of 'Tiamat'

Presenter(s): Madelyn Bohrer and Bella Fried

Sponsoring Department: Theatre

Mentor(s): Angela Howell

Title: 'Kaliope'

Presentation: 8

Presenter(s): Madelyn Bohrer and Bella Fried

Sponsoring Department: Theatre

Mentor(s): Angela Howell

Title: 'Lilith'

Presentation: 9

Presenter(s): Madelyn Bohrer and Bella Fried

Sponsoring Department: Theatre

Mentor(s): Angela Howell

Presentation: 10

Title: 'Miles the Doppelganger' and 'Farrah the Fairy'

Presenter(s): Madelyn Bohrer and Bella Fried

Sponsoring Department: Theatre

Mentor(s): Angela Howell

Presentation: 11

Title: 'Orcus'

Presenter(s): Madelyn Bohrer and Bella Fried

Sponsoring Department: Theatre

Mentor(s): Angela Howell

Presentation: 12

Title: Red head of the 'Tiamat'

Presenter(s): Madelyn Bohrer and Bella Fried

Sponsoring Department: Theatre

Mentor(s): Angela Howell

Presentation: 13

Title: 'Steve the Mage'

Presenter(s): Madelyn Bohrer and Bella Fried

Sponsoring Department: Theatre

Mentor(s): Angela Howell

Presentation: 14

Title: 'Tilius the Paladin'

Presenter(s): Madelyn Bohrer and Bella Fried

Sponsoring Department: Theatre

Mentor(s): Angela Howell

Presentation: 15

Title: White head of the 'Tiamat'

Presenter(s): Madelyn Bohrer and Bella Fried

Sponsoring Department: Theatre

Mentor(s): Angela Howell

Presentation: 16

Title: The Tiamat - Pose 1

Presenter(s): Madelyn Bohrer and Bella Fried

Sponsoring Department: Theatre

Mentor(s): Angela Howell

Presentation: 17

Title: The Tiamat - Pose 2

Presenter(s): Madelyn Bohrer and Bella Fried

Sponsoring Department: Theatre

Mentor(s): Angela Howell

Presentation: 18

Title: Tilius and Kaliope Kissing

Presenter(s): Madelyn Bohrer and Bella Fried

Sponsoring Department: Theatre

Mentor(s): Angela Howell

Presentation: 19

Title: Tilius and Lilith Kissing

Presenter(s): Madelyn Bohrer and Bella Fried

Sponsoring Department: Theatre

Mentor(s): Angela Howell

Title: Someone - The Dove

Presentation: 20

Abstract: Building prototypes is the focus of the lessons in MIC 310. We start with paper and craft messages using paper folds, glue, and color. Throughout the semester the makers develop skills in using various mediaclay, metal, glass, and 3D printing. Either we use an additive process or a sculpting process to shape ideas and content. Working with wood and tools is challenging. Making 2 and 3 dimensional objects is one level of prototyping. Making an object deliberately MOVE is another dimension of being a maker. In Folk Art, these sculptures are known as Whirly-gigs. Evidence of Whirly-gigs has been found as far back as 500BC in China. The movement of the wings captures and uses the power of the wind to keep the blades moving. These are our finished models.

Presenter(s): Alyssa Tulli and Rongon Ahad Kamal

Sponsoring Department: The Minor in Innovation and Creativity

Mentor(s): Nick Devine, MC Gensheimer

Title: Brietta - The Pegasus

Presentation: 21

Presenter(s): Asraa Alaboudi and Clare Caulfield

Sponsoring Department: The Minor in Innovation and Creativity

Mentor(s): Nick Devine, MC Gensheimer

Presentation:

Title: Wally, the Whale

Presenter(s): Christina Bullard and Taylor Bommer

Sponsoring Department: The Minor in Innovation and Creativity

Mentor(s): Nick Devine, MC Gensheimer

Title: Fred!

Presentation: 23

Presenter(s): Grace Kalivoda and Lily Schachner

Sponsoring Department: The Minor in Innovation and Creativity

Mentor(s): Nick Devine, MC Gensheimer

Title: Walter, the Puffin

Presentation: 24

Presenter(s): Julie Ditz and Neill Edgett

Sponsoring Department: The Minor in Innovation and Creativity

Mentor(s): Nick Devine, MC Gensheimer

Title: Joy, the Goldfinch

Presentation: 25

Presenter(s): Evan Reid and Katelyn Palmer

Sponsoring Department: The Minor in Innovation and Creativity

Mentor(s): Nick Devine, MC Gensheimer

Presentation: 26

Title: Jasmine, the Puffin

Presenter(s): Ryan Ehmann and Nikk Adams

Sponsoring Department: The Minor in Innovation and Creativity

Mentor(s): Nick Devine, MC Gensheimer

Presentation: 27

Title: Frank, the Dragon

Presenter(s): Emma Schrandt and Tyler Thomas

Sponsoring Department: The Minor in Innovation and Creativity

Mentor(s): Nick Devine, MC Gensheimer

Title: Home Alone

Presentation: 28

Abstract: In the upper-level Graphics course (COMM 359) we experiment and develop various special effects. This unit explores the effects of a given movie poster. The artist then deconstructs and re-constructs the elements of that image using original pictures. This is an exercise in capturing precise color, fonts, and composition.

Presenter(s): Madison Carlson

Sponsoring Department: The Minor in Innovation and Creativity

Mentor(s): MC Gensheimer

Title: Home Alone

Presentation: 29

Presenter(s): Bailey Clements

Sponsoring Department: The Minor in Innovation and Creativity

Mentor(s): MC Gensheimer

Title: Good Fellas

Presentation: 30

Presenter(s): Connor Foster

Sponsoring Department: The Minor in Innovation and Creativity

Mentor(s): MC Gensheimer

Title: Austin Powers

Presentation: 31

Presenter(s): Ainslee Konkle

Sponsoring Department: The Minor in Innovation and Creativity

Mentor(s): MC Gensheimer

Title: Rocky

Presentation: 32

Presenter(s): Ana Millan Esquivel

Sponsoring Department: The Minor in Innovation and Creativity

Mentor(s): MC Gensheimer

Title: Singing in the Rain

Presentation: 33

Presenter(s): Anthony Nunez

Sponsoring Department: The Minor in Innovation and Creativity

Mentor(s): MC Gensheimer

Title: The Fast and Furious

Presentation: 34

Presenter(s): Katelyn Palmer

Sponsoring Department: The Minor in Innovation and Creativity

Mentor(s): MC Gensheimer

Title: We are Marshall

Presentation: 35

Presenter(s): Tyler Rekich

Sponsoring Department: The Minor in Innovation and Creativity

Mentor(s): MC Gensheimer

Title: The Mummy

Presentation: 36

Presenter(s): Christopher Rocha-Perez

Sponsoring Department: The Minor in Innovation and Creativity

Mentor(s): MC Gensheimer

Title: We Are Marshall

Presentation: 37

Presenter(s): Braxton Todd

Sponsoring Department: The Minor in Innovation and Creativity

Mentor(s): MC Gensheimer

UNDERGRADUATE

Presentation: 38

Title: Gannon in Global Solidarity: Fulfilling the Call of the Holy Father through the Metanoia Retreat

Abstract: In his most recent encyclical letter, Pope Francis acknowledges that our world is divided and fragmented. He then emphasizes the need for us to rediscover the meaning of the heart in order to begin healing our divisions. The heart is the most authentic part of each of us. Only through the heart are we able to fully connect with Christ and others, which, in turn, transforms us and helps heal our world. Every year, Gannon University’s Campus Ministry department hosts a retreat entitled Metanoia, which means “a change of heart.” While on this student-led and staff-accompanied retreat, Gannon students encounter God and His love through various experiences. This transformative retreat allows for students to encounter Christ and others through the heart, directly aligning our work here at Gannon in global solidarity with the mission of Pope Francis to heal divisions.

Presenter(s): Nathan Habursky

Sponsoring Department: Campus Ministry

Mentor(s): Emily Muntean

Presentation: 39

Title: Stormwater Management at Gannon University

Abstract: Gannon University is a non-profit Catholic university based in Erie, Pennsylvania. The campus is home to 3,091 undergraduate students and 4,665 total enrolled students. Erie, Pennsylvania, rests upon the shore of Lake Erie, making it vulnerable to intense and unrelenting flooding. While there are many storm drains on campus, the lack of management causes these drains to fill with debris and become clogged, preventing them from functioning correctly. Erie County offers tax credits to companies and organizations in accordance with Act 167. Gannon University needs the drains to be clean to comply with this ordinance. We, the SEECS (Scholars of Excellence in Engineering and Computer Studies), were tasked with engineering a solution to this problem. At this time, we have an approximate budget of $1,000. We have completed the raw data collection as well as the GIS mapping of the storm drains across Gannon’s campus. At this stage, we are beginning to explore design options and plan to have a few finalized designs by the end of the Winter Semester 2025.

Presenter(s): Evan Beglin, Cristiano Caserta, Blaise Cunningham, Christian Cole, Zoey Herrera, Arpan Uprety, Marcus Johnson, Jeremiah Pugh

Sponsoring Department: Electrical & Cyber Engineering

Mentor(s): Lin Zhao

Presentation: 40

Title: AI in Careers: Game-Changer or Risk Factor?

Abstract: This project explores how AI transforms resume creation and job searching for college students. In collaboration with Gannon University’s Career Services, it highlights AI tools that optimize resumes, streamline job applications, and provide personalized career insights. It also examines how employers use AI in recruitment, from screening candidates to predictive hiring. While AI offers efficiency and innovation, it also raises considerations about accuracy and fairness. The goal is to empower students with effective AI strategies while equipping Career Services with resources to better support student success.

Presenter(s): Jackson Linden, Matthew Sandstrom

Sponsoring Department: English

Mentor(s): Ann Bomberger

Presentation: 41

Title: DIGITAL TAILORING: Enhancing Visibility and Marketing for the Gannon Career Closet with Artificial Intelligence

Abstract: This project investigates the strategic integration of artificial intelligence (AI) to enhance Career Services initiatives, primarily focusing on promoting the Gannon Career Closet, a vital resource providing free professional attire for students. Recognizing that access to professional attire is crucial for career readiness and success, this resource aims to ensure that all Gannon University students can benefit. Otter.AI was used for efficient transcription of our collaborative discussions. ChatGPT facilitated the development of marketing strategies, promotional materials, and student surveys used to assess awareness and usage of the Career Closet. Canva’s AI tools were leveraged to design visually appealing flyers that effectively communicate the Career Closet’s mission and offerings. This project incorporates the analysis of our AI-generated content and the assessment of student awareness and receptiveness to the Career Closet via our survey results. Our work demonstrates the potential of AI tools to improve promoting resources like the Career Closet, thereby fostering greater career readiness for all students. The project highlights the importance of incorporating modern technologies to better serve Gannon’s student population and enhance their professional development, primarily through access to free professional attire. We also provide an overview of Otter AI’s free resources.

Presenter(s): Kaitlyn Bruno, Dale

Hyland, Kyle Wendling

Sponsoring Department: English

Mentor(s): Ann Bomberger

Presentation: 42

Title: Promoting Internships and Job Opportunities Through the Use of “Handshake”

Abstract: Our group used artificial intelligence (AI) to promote the internship and job search platform Handshake” to college-aged students at Gannon University with the aim of supporting the university's Career Center. Applying a range of AI tools, our team developed strategies to advertise Handshake and educate students on how to effectively use the platform, emphasizing its benefits. We employed AI to generate video scripts, edit content, and design targeted social media campaigns. This project demonstrates how AI can enhance the promotion of career services, improve student engagement, and spread information about career resources at the university.

Presenter(s): Ethan Haughney Chandler Villanueva Ajani Shelton Hoang Nam Dang

Sponsoring Department: English

Mentor(s): Ann Bomberger

Presentation: 43

Title: CHESS Through the Decades

Abstract: In honor of Gannon University’s centennial, the CHESS exhibit reflects CHESS’ significance within Gannon University. Since Gannon’s founders established the liberal arts tradition, students, faculty, and staff of the college have created a community that has built a way to think about Gannon’s most pressing challenges. Working with Dean Lindley, this exhibit accentuates the value of the humanities to all students. It portrays key elements of CHESS’ history and how it has not only shaped but is also setting up for the future of CHESS and Gannon. The exhibit highlights the decades comprising CHESS’ development by spotlighting significant people, events, and programs uncovered through close exploration of the archives. This exhibit aims to encourage students and staff from all disciplines to consider the relevance of the humanities, both within and outside of their own fields of study.

Presenter(s): Sophia Messenger, Alina Stiger, Ava Stripp, John Santone

Sponsoring Department: English

Mentor(s): Lauren Garskie

Presentation: 44

Title: Gannon English Department: A History of Excellence

Abstract: The English Department at Gannon University strives to help students “explore the writing of the past, and to use writing to engage with the present, with the aim of creating a better future.” This exhibit presents a history of the English Department, and demonstrates how it continues to positively impact, challenge, and engage students. The department’s annual magazine publication, Totem, and annual poetry contest showcase students’ diverse compositions from the past one hundred years of Gannon’s history. Using artifacts from Totem and from community events they have hosted over the years, the exhibit shows that Gannon University’s English Department has a richly diverse history of fostering excellence and achievement, especially through their various opportunities for students to showcase their creative work in university publications and contests. Such excellence in the liberal arts is revealed through the achievements of distinguished alumni, providing encouragement to prospective students who will carry this tradition into the future of the department.

Presenter(s): Thomas Caulfield, Bernadette Corsi, Alex Hamilton, Genevieve Preston

Sponsoring Department: English

Mentor(s): Lauren Garskie

Presentation: 45

Title: How Gannon Loves Nash Library

Abstract: This past February, we had the ability to work with Lori Grossholz, Nash Library staff and archivist, to create an exhibit about Nash Library in honor of Gannon’s Centennial. Looking at photos, documents, and even clothing she had shown us within the archives, we were able to discover more about Nash’s history, as well as just how important the Nash Library means to us as a community.

Presenter(s): Anna Skinner, Joseph Spiegel, Eric Bruno, Diego Casillas

Sponsoring Department: English

Mentor(s): Lauren Garskie

ERIE UNDERGRADUATE CAPSTONE

Presentation: 46

Title: eVTOL Vibration Isolator – Parker Lord Sponsored

Abstract: This study develops a vibration isolation solution for an Electric Vertical Take-off and Landing (eVTOL) system. The solution targets frequencies above 5Hz as they affect measurement accuracy, component durability, and pilot comfort. Our system combines an innovative metallic base, central spring, and a rubber mount to minimize the vertical axial vibrations and withstand the stiffness and weight configurations. The selection of materials was decided through external research and testing to create an optimized isolator design that complies with various aviation standards. The vibration isolator system will help the company sponsor Parker-Lord by creating a cost-effective and low-maintenance product that meets the industry demands for sustainable operations in the eVTOL industry.

Presenter(s): Chenay Date Line, Andres Esteban

Sponsoring Department: Bio-Medical Engineering

Mentor(s): Xiaoxu Xi

Presentation: 47

Title: High Gauss Test Fixture

Abstract: MR scanners contain 0.5 - 7 Tesla magnets to provide a strong, uniform magnetic field. ElectroMechanical components that utilize magnetic fields (e.g., ferromagnetic core inductors and DC motors) present challenges in the MR environment, so PCBs and motors used in the MR Suite must be specially designed to be "MR Conditional." The goal of this project is to create a text fixture that generates a high gauss field (at least 5,000 gauss, or 0.5 Tesla) and is large enough to place PCBs and/or motors within to test their functionality under simulated MR magnetic field conditions.

Presenter(s): Nathan Schneider, Gavyn Hansotte

Sponsoring Department: Bio-Medical Engineering

Mentor(s): Xiaoxu Xi

Presentation: 48

Title: MRI Scanner Table Scale

Abstract: Magnetic resonance imaging (MRI) exams are used to assess issues within organs, tissues, and the skeletal system. A challenge is the inability to accurately measure a patient’s weight before the procedure, leading to incorrect contrast dosing and unclear imaging. Looking at other scales currently on the market, the MRI scale has unique challenges being that its elements must be non-metallic while also accurately measuring a patient’s weight. Optical fibers present a potential solution to evaluate accurate patient weight by utilizing wavelengths to assess strain variations while a patient is on the MRI table. This material is compatible within a Gauss field and can be easily integrated into existing MRI systems. The optical fiber approach is being analyzed for its potential to improve contrast dosage accuracy. While the MRI scale project continues, MRI compatibility, available materials, scale type, and the accuracy and precision of optical fibers are further explored in detail.

Presenter(s): Paige Johnson, Jenna Miller, Gregory Coppola

Sponsoring Department: Bio-Medical Engineering

Mentor(s): Xiaoxu Xi, Davide Piovesan

Presentation: 49

Title: MRI Compatible Vascular Access Device

Abstract: The growing demand for advancements in biomedical technology to simplify medical procedures has underscored the need for an MRI-safe vascular access device in the market. This project involves the development of an MRI-compatible vascular access device (VAD) that eliminates ferromagnetic materials, preventing image distortion, enhancing patient safety, and improving procedural efficiency in all MRI environments. Designed for use in radiology departments, hospitals, and emergency care settings, this product aims to provide a two-step MRI-compatible vascular access device. By integrating engineering principles with scientific innovation, the project strives to deliver a safe, efficient, and market-ready solution for MRI-guided vascular access.

Presenter(s): Leyre Berganzos Fernandez, Jacob Baum, Seth Butler

Sponsoring Department: Bio-Medical Engineering

Mentor(s): Longyan Chen

Presentation: 50

Title: Material and Design Optimization of Medical Seals for Steam Sterilizers

Abstract: Critical and semi-critical reusable medical devices are routinely sterilized using pressurized saturated steam in an airtight chamber, as required by law [1]. At a typical hospital, these steam sterilizers are shut off for only 14% of the calendar year [2]. Bacteria, viruses, fungi and spores can cause healthcare-acquired infections (HAIs) in patients which were “not present or incubating at the time of admission” [3]. 10% of patients in developing and 7% in developed countries on average, at any given time, will acquire a HAI [4]. Steam sterilizers are crucial for minimizing HAIs, but high-level disinfection relies on the gaskets’ ability to seal by generating high contact pressure against the sterilizer door. An elastomer seals manufacturer is sponsoring a senior project to investigate alternative materials used in sealing applications for medical devices. The new compound formulation will be PFAS compliant while offering performance improvement, including reduced stick at the interface and increased durability. 25 candidate materials will be evaluated for properties such as tensile strength, compression set, abrasive wear, and friction. ASTM testing standards are consolidated to collect data and compare new elastomer formulations. Materials will be steam aged up to 6400 hrs using a steam flush pressure pulsing process to determine its effects.

Presenter(s): Zainab Al Tamimi, Madalyn Myers

Sponsoring Department: Biomedical, Industrial and Systems Engineering

Mentor(s): Davide Piovesan , Robert Michael

Presentation: 51

Title: Bayer - MRI Suite Wireless Access ‘Pucks’

Abstract: Modern MRI suites are designed with electromagnetic shielding that prevents any wireless communication, like Wi-Fi or Bluetooth, from working between the scan room and the control room. This shielding is essential for protecting patients and equipment, but it creates a major challenge for real-time interaction. While wired solutions are sometimes used, they are often bulky, inconvenient, and potentially hazardous in a clinical setting. Delays or miscommunications during scans can reduce workflow efficiency and affect patient care. Recognizing this gap, Bayer sponsored this project to develop a safe, low-cost, and scalable infrared (IR) communication system. By using IR light, which can pass through the MRI room’s glass window, this solution aims to restore fast and reliable messaging between technicians and operators without compromising patient safety or equipment integrity.

Presenter(s): John Brady

Sponsoring Department: Center of Advanced Engineering

Mentor(s): Jacob Lehotsky

Presentation: 52

Title: BraceX Rehabilitation Device

Abstract: BraceX Rehabilitation is a device proposed to Gannon University students by Theralogics to enable patients to rehabilitate injured joints at home. By integrating a linear actuator, force sensors, and Bluetooth capabilities, the device bridges the gap between traditional physical therapy and digital recovery monitoring. The system consists of three main components: the Force Sensor System, the Linear Actuator System, and a Mobile Application. The Linear Actuator System, connected to a 3D-printed brace, applies force to the patient’s limb, which must be resisted. Simultaneously, the Force Sensor System measures the force the patient exerts, offering valuable feedback on their progress. Prior iterations of the project developed the Force Sensor and Linear Actuator Systems. This year, the focus shifted to incorporating Bluetooth technology for communication with a dedicated mobile application. Through this application, patients can track their applied force data, while clinicians can modify actuator speed based on real-time information. The application also streams data to a cloud database, allowing doctors to manage patient accounts. Physicians first set up patient profiles and calibrate device parameters through a secure login. Then, patients receive credentials to access their personalized application interface, enabling continuous progress monitoring and improved rehabilitation outcomes and continuous real-time feedback.

Presenter(s): Damien Chu, Jawad MD, Joshua Rasmussen

Sponsoring Department: Computer and Information Science

Mentor(s): Peter Capelli, Fong Mak

Presentation: 53

Title: Automatically Detecting Damage on Shipping Pallets

Abstract: Efficient and accurate pallet inspection is critical in warehouse and logistics operations to prevent damaged goods from entering the supply chain. This project aims to develop an automated system that uses computer vision to inspect pallets as they are unloaded from trucks. The system consists of a high-resolution camera mounted at the loading dock, which captures video footage of each pallet as it arrives. The captured video is processed in real-time using a machine learning defect detection model, capable of identifying structural and content damage such as cracks, punctures, and holes. The system leverages NVIDIA DeepStream and several custom components for maximum processing performance. Detected defects are analyzed, and the results are displayed to dock workers via a light tower, providing immediate feedback on whether a pallet is fit for use or needs to be removed from circulation. The project also includes a reporting mechanism to log inspection results for quality control and process improvement. By automating the inspection process, this system reduces manual labor, minimizes human error, and enhances supply chain efficiency. The proposed solution is scalable and can be integrated into existing warehouse management systems for seamless operation.

Presenter(s): Aashir Tuladhar, Nicholas Hubbard, Andre Mossi

Sponsoring Department: Computer and Information Science

Mentor(s): Mei-Huei Tang

Presentation: 54

Title: Interview Grader

Abstract: Interview Grader is a system real-time evaluation system designed to assist recruiters and hiring managers in assessing candidates during interviews. Leveraging computer vision techniques, the system analyzes real-time non-verbal behaviors such as facial expressions, gaze detection, age detection, and body posture to provide objective, data-driven feedback. By integrating pose estimation and emotion recognition models, Interview Grader offers a consistent and unbiased assessment of a candidate’s engagement, confidence, and communication style. This tool aims to enhance the hiring process by reducing human bias, promoting fair evaluation, and enabling more informed decision making.

Presenter(s): Hoang Nam Dang, Fidan Tahrili, Ojashwi Uprety

Sponsoring Department: Computer and Information Science

Mentor(s): Mei-Huei Tang

Presentation: 55

Title: Cognisense: A Cognitive Load Measurement System

Abstract: The Cognitive Load Measurement System is a multimodal tool designed to assess mental workload in real time using biosensing and behavioral data. This system integrates EEG, ECG, facial emotion recognition, and NASA-TLX to capture both objective and subjective indicators of cognitive fatigue. Through task-driven simulations, physiological signals are monitored and analyzed to produce a dynamic cognitive load score, helping users understand and manage their mental effort during high-demand tasks. With applications in education, healthcare, aerospace, and beyond, the system provides actionable insights via a real-time interface, supporting improved performance and well-being in cognitively intense environments.

Presenter(s): Carine Munezero, Hiyan Watanabe, Kyle Wendling, Nardos Bisrat

Sponsoring Department: Computer and Information Science, Bio-Medical Engineering

Mentor(s): Kefei Wang

Presentation:

Title: Wheelchair Mounted Robotic Arm

Abstract: In this poster, we present the design and development of a cost-effective, wheelchair mounted robotic arm aimed at enhancing accessibility and independence for individuals with mobility impairments. Our approach integrates a custom designed, user-centered control system to ensure intuitive operation and adaptability to individual needs. Additionally, we engineered a power distribution system that enables the robotic arm to operate efficiently by using the wheelchair’s existing battery system. A key innovation of our project is the utilization of an open-source robotic arm design, allowing us to use 3D printed components and replace high-cost materials with more affordable alternatives. This method significantly reduces manufacturing costs while maintaining functionality and reliability. Our prototype demonstrates the feasibility of low-cost, assistive robotic technology and serves as a foundation for future refinement and potential commercialization. By making advanced assistive devices more accessible, this project contributes to the ongoing effort to improve quality of life for individuals with disabilities.

Presenter(s): Christopher Petteys, Joseph Kvortek, Nicholas Nagy

Sponsoring Department: Electrical and Cyber Engineering

Mentor(s): Jack Little, Ramakrishnan Sundaram

Presentation: 57

Title: Evaluating Brewer’s Spent Grain and CFOAM as Sustainable Additives for Enhanced Concrete

Abstract: This project focuses on utilizing two materials; Brewer’s Spent Grain (BSG) and CFOAM as additives in concrete to improve construction materials and explore biomedical applications. BSG has shown the potential to enhance concrete’s mechanical strength, water tightness, and irradiation resistance, and it may also improve bone cement biocompatibility, potentially benefiting orthopedic surgeries. We are testing both materials in two concrete formulations, Dukelite Mix and Concrete Mix, at concentrations of 0.1%, 0.8%, and 5%, to evaluate its impact on properties like durability and sustainability. In parallel, CFOAM, a carbon foam derived from coal waste, is utilized for stormwater treatment. However, after discovering that CFOAM could leach heavy metals, we shifted our focus. Rather than discarding CFOAM, we decided to incorporate it as a separate additive to concrete to be added in the same concentrations as the BSG. This collaboration allows us to explore how CFOAM’s unique properties, such as improved thermal insulation and strength, could further enhance the performance and sustainability of concrete. By combining BSG and CFOAM, our research will evaluate BSG and CFOAM’s impact on durability, reflectivity, and environmental sustainability, assessing its viability for large-scale production across medical and construction fields.

Presenter(s): Elijah Cincinnati, Anna Grychowski, Elijah Ruppert, Ella Seifert, Peter Wagner

Sponsoring Department: Environmental Science and Engineering

Mentor(s): Varun Kasaraneni

Presentation: 58

Title: Polyurethane Foam to Metal Bond Testing

Abstract: Pleiger Plastics Co. is an engineering company located in Washington Pennsylvania that specializes in creating custom plastic parts for their customers. For our senior design project, our goal is to improve their current method of testing the bond between the polyurethane foam and steel plates of their custom polyurethane springs. Pleiger Plastics Co. currently has an employee that tests each produced part by hand by wedging a screwdriver into the seam between the foam and the steel. If the screwdriver separates the foam from the steel, the part is considered to be a failed part and is discarded for scrapping. This process is not only inconsistent and inaccurate, but it is also unsafe for the employee. To remove these concerns from product testing, we plan to create a test fixture that will automate the process where the employee only needs to place the part into the fixture and run the test.

Presenter(s): Ryan Osche, Brandon Warr

Sponsoring Department: Mechanical Engineering

Mentor(s): Allen Madura, Robert Michael

Presentation: 59

Title: Automating Stamping and Identification of Part Numbers in Job Shop Environments

Abstract: This project aims to develop an automated part marking system that utilizes metal stamps to accurately mark parts in a manufacturing environment. The system incorporates a collaborate robot arm with vacuum grippers for part handling, a stamping mechanism capable of achieving the required 0.010-inch depth marking, and an Optical Character Recognition (OCR) verification system to ensure marking accuracy. The automated solution addresses significant manufacturing challenges faced by ISM, including quality inconsistencies, efficiency bottlenecks, and customer satisfaction issues. By implementing this system, the company expects to increase throughput, decrease defect rates, improve First Pass Yield, and reduce scrap and rework rates compared to the current manual method. The project integrates precise positional tolerance, robust OCR validation with minimal error rates, and efficient stack load capabilities to optimize the manufacturing process. This engineering solution demonstrates the practical application of automation technology to solve real-world manufacturing challenges while maintaining compliance with relevant international quality and safety standards.

Presenter(s): Austin Lippert, Daniel Rutkowski, Andrea Martinez Ortuno

Sponsoring Department: Mechanical Engineering

Mentor(s): Robert Michael, Davide Piovesan

Presentation: 60

Title: Breakwave Intermittent Energy Conversion

Abstract: This project explores the integration of Breakwave’s intermittent wave- energy conversion system into the coast of Lake Erie. The device from Breakwave energy utilizes a motorless wave catcher to capture intermittent energy from the waves and then converts its electrical power using a flywheel on shore. This system offers an eco-friendly alternative to traditional energy sources, reducing maintenance costs and environmental impacts while also eliminating the need for unsightly power lines in protected areas like Presque Isle. Key considerations for the project include durability, energy storage capacity, environmental impact, cost efficiency, and scalability. Design challenges involve adapting the system to Lake Erie's unique wave conditions and ensuring a stable power output through periods with lower wave activity. Various mechanical and electrical solutions, such as flywheels, alternators, and battery storage, are evaluated for optimal performance. The success of this project will likely lead to increased access to energy sources for energy scarce regions that have coastlines with untapped wave energy potential.

Presenter(s): Jacqueline

Sandquist, Jacob Bacho

Sponsoring Department: Mechanical Engineering

Mentor(s): Robert Michael, Ahmed Abuhussein

Presentation: 61

Title: Redesign of Locomotive Traction Motor Boots and Fatigue Tester

Abstract: This project aims to enhance Wabtec's testing process of locomotive traction motor boots by redesigning the boot’s fatigue tester. The traction motor boots act as a flexible duct that supplies airflow to the traction motors and allows relative motion between the trucks and the locomotive’s platform. The existing tester is inefficient and difficult to use, wasting valuable time during boot installation and testing. Our improvements focus on making the tester adjustable for easier installation and removal of boots, enabling Wabtec to test various boot designs more effectively and accurately. Additionally, we will explore materials to improve boot durability, flexibility, and resistance to wear, elongation, and extreme temperatures. By reducing testing time and ensuring more reliable results, the redesigned fatigue tester will support the development of higherperforming traction motor boots. Ultimately, these enhancements will lead to cost savings, better product longevity, and increased efficiency in the design and testing process for locomotive boots.

Presenter(s): Elizabeth Lander, Gabriel Markley, Cooper Mullins

Sponsoring Department: Mechanical Engineering

Mentor(s): Robert Michael

Presentation: 62

Title: Heat Exchange Design for eVinciTM – Westinghouse Sponsored

Abstract: This project focuses on designing and testing a heat exchanger sleeve to efficiently transfer heat from a simulated nuclear heat pipe to a gas turbine engine while minimizing pressure drop. Unlike conventional designs, this approach utilizes parallel airflow to enhance efficiency. The design process involves CFD simulations to optimize fin geometry and physical prototyping. The experimental testing begins with costeffective 3D-printed plastic models followed by a transition to a copper 3D-printed model for final evaluation. This research supports Westinghouse's development of the eVinci microreactor, contributing to cleaner and more sustainable energy solutions. By optimizing heat exchanger performance, this project advances Westinghouse's mission to resolve environmental and economic challenges associated with power generation in remote communities.

Presenter(s): Ryan Barclay, Ra'ad Abu Karki

Sponsoring Department: Mechanical Engineering

Mentor(s): Hamid Torab, Robert Michael

Presentation:

Title: Cybersecurity Suite: A Unified Security Solution

Abstract: The CyberSuite is a comprehensive cybersecurity solution designed to protect users from digital threats by integrating three core tools: Security Scanner, Password Generator & Storage, and File Encryption, with seamless browser extension integration for enhanced accessibility. The Security Scanner identifies vulnerabilities such as open ports, weak communication protocols, and potential phishing threats through advanced scanning techniques, providing users with actionable insights to enhance their online security. The Password Generator & Storage creates secure, complex passwords using encryption and hashing techniques, ensuring sensitive information is never stored in plaintext. Users can save and regenerate their passwords securely. The File Encryption feature protects sensitive files using AES-256 encryption, generating unique decryption keys for secure access. Encrypted files are downloadable with a corresponding decryption key, ensuring only authorized users can access the content. The browser extension allows users to scan websites, generate passwords, and encrypt files directly, enhancing efficiency and ease of use. CyberSuite provides a unified, user-centric security solution, offering robust protection against evolving cyber threats while prioritizing convenience and usability.

Presenter(s): Ridha Al-Quraishi, Matthew Margosian, Andrew Nawrocki

Sponsoring Department: Software Engineering

Mentor(s): Mei-Huei Tang

Presentation: 64

Title: Vulnerability Simulator

Abstract: This project aims to develop a Linux-based vulnerability simulator designed to help cybersecurity students enhance their command-line skills. The simulator provides structured challenge sets, allowing users to gain hands-on experience in a controlled environment. Each challenge set includes 8-12 progressively structured tasks, guiding users from fundamental operations like file manipulation to more advanced concepts such as working with compressed archives. A key feature of the simulator is its interactive terminal-based environment, replacing the initial virtual machine approach for a more efficient and accessible user experience. The project also includes a post-lab assessment system, enabling users to test their understanding after completing the challenges. The assessment dynamically adapts to the selected challenge set and provides scoring.

Presenter(s): Saraswoti Timsina, Dema Alzoubi, Sultan Alshaeri, Khalid Alsehely

Sponsoring Department: Computer and Information Science

Mentor(s): Ronny C Bazan-Antequera

Presentation: 65

Title: WiseShare Properties

Abstract: As real estate prices continue to rise, many people are looking for ways to invest in property but are held back by high capital requirements and complex traditional investment processes. The cost of purchasing entire properties makes real estate investing inaccessible to the average person, limiting opportunities for wealth building. WiseShare seeks to bridge this gap by offering a simple and flexible solution through fractional ownership. Instead of requiring large sums of money to buy a whole property, investors can purchase smaller shares, allowing them to participate in the real estate market without the financial burden of full ownership.To achieve this, we are developing a web application that provides users with a seamless platform to invest, manage, and track their real estate shares. Our application is designed to be intuitive and user friendly, ensuring that investors, whether beginners or experienced, can navigate the platform with ease.

Presenter(s): Ali Arthur,

Aryan Pashuparthy, Spandana Pagadala

Sponsoring Department: Computer and Information Science

Mentor(s): Tong Jizhou

ERIE UNDERGRADUATE RESEARCH AND SCHOLARSHIP

POSTER PRESENTATIONS

Presentation: 66

Title: Delayed Diagnosis of Concussion and Long-term Effects

Abstract: • A concussion is a mild traumatic brain injury (mTBI) caused by head impact or a fall.• Diagnosing a concussion involves physical tests, as mTBIs can't be seen through imaging.• Management of a concussion is typically rest and over-the-counter medications.• Concussions can cause complications like photosensitivity and ocular dysfunction.• Up to 90% of concussions in athletes are undiagnosed.• A case study is presented of a 15-year-old hockey player who was hit in the face by an elbow.o Initially diagnosed with a minor laceration and cleared to play.o Developed standard concussion symptoms the following day.o Early evaluations downplayed the concussion severity, leading to worsening symptoms.o Amitriptyline was prescribed, causing severe side effects like disorientation and erratic behavior.o Delayed treatment prolonged recovery.o Physical therapy and neuro-optometry helped improve balance and vision.o The patient still experiences lingering symptoms such as light sensitivity and hypersomnia.• The case emphasizes the risks of misdiagnosing concussions, improper prescriptions, and delayed treatment, highlighting the importance of prompt and accurate care.

Presenter(s): Collin Reitz, Matthew Smith

Sponsoring Department: Biology

Dalvi

Presentation: 67

Title: Characterization of Stream Microbiota Based on Anthropogenic and Seasonal Effects in Erie, PA

Abstract: Microorganisms can be reliable biomarkers for anthropogenic factors such as pollution and waste accumulation in freshwater streams due to their unique abilities such as Polycyclic Aromatic Hydrocarbon (PAH) and wastewater degradation. Triplicate water samples from four streams (West Cascade, McDaniels Run, Crooked Creek, and Racoon Creek) were collected in December 2023 and September 2024 to assess the impacts of urbanization on microbial communities dwelling within the water. Initial results indicate a diverse microbial community at all sampling locations and differences are clear between the community composition found in the urban vs. rural streams. December samples showcase a diverse array of microbes such as sewage associated and nitrogen-fixating bacteria with a prevalence of psychrotolerant genera. Further analysis of September 2024 samples will allow for a better understanding of seasonal variation.

Presenter(s): Reeya Magar, Genesis Castillo, Brooklynn Murlin

Sponsoring Department: Biology

Mentor(s): Matt Gacura, Gary Vanderlaan, Christopher Magno

Presentation: 68

Title: Effect of Epinephrine on Cancer Cell Growth and β-Actin Expression

Abstract: Epinephrine, also known as adrenaline, is a hormone that regulates the body’s “fight or flight” response. It is secreted by the adrenal medulla when the central nervous system is stimulated in response to stress, anger, or fear. Chronic stress has been linked to ovarian cancer proliferation through prolonged activation of the sympathetic nervous system, increased adrenaline release, and interaction with β2-adrenergic receptors [1]. Actin is a globular, multifunctional protein found in all eukaryotic cells, supporting cell structure and enabling movement. As a major component of the cytoskeleton, actin plays a crucial role in cancer development and progression by influencing cell motility, invasion, and metastasis through dynamic reorganization and interactions with other proteins [2]. Actin has three main isotypes: α-actin, β-actin and γactin. Of these three isoforms, β-Actin plays a crucial role in regulating cell growth, migration, and proliferation, with studies showing that its absence or altered expression can lead to defects in these processes. This study investigates the effects of epinephrine on cancer cell growth using MTT assays and examines β-actin protein and mRNA levels through ELISA and quantitative RT-PCR. Two cell lines are used: SKN (derived from neuroblasts, nervous tissue) and WPMY (derived from fibroblasts, connective tissue).

Presenter(s): Maximilian Paris

Sponsoring Department: Biology

Dalvi

Presentation: 69

Title: Extraction of Neuroprotective Compounds from Lion’s Mane Mushroom

Abstract: Lion’s mane, Hericium erinaceus (HE), an edible mushroom, has been found to possess neuroprotective properties HE contains two main bioactive compounds, hericenones and erinacines, that can improve brain function Previous studies suggested that the consumption of HE has a direct correlation to promoting neuronal growth and nerve repair. To further investigate neuroprotective properties of HE, our research group is planning on extracting the bioactive compounds from two separate strains of HE: wild type HE and lab-grown HE. The wild type HE was discovered in the lower region of Pennsylvania whereas the lab-grown HE was sold at a nearby Farmer’s market For growth and extraction of compounds, the two strains of fungi were isolated aseptically and grown for a week using potato dextrose agar. The fungi were then transferred to potato dextrose broth to continue further growth of mycelium and fungi. To fully develop the mushrooms for extraction, two different spawn bags were created with 65% moisture One spawn bag contained a 4:1:1 ratio of sawdust pellets, vermiculite, and rye berry, respectively The second spawn bag contained a 5:1 ratio of sawdust pellets and vermiculite, respectively Once the spawn bags held the proper moisture, the liquid potato dextrose broths containing either wild type HE or lab-grown HE were poured into both types of spawn bags to inoculate. Allowing growth of the mushrooms to occur, the extraction of the medicinal components will be performed, and the isolated compounds will be used for testing cell growth and survival using mammalian neuronal cell cultures

Presenter(s): Om Bidja, Jacob Ramalho

Sponsoring Department: Biology

Mentor(s): Prasad Dalvi, Matthew Gacura

Presentation: 70

Title: The Relationship Between Cortisol Levels and Cancer

Abstract: The purpose of this study was to determine whether cortisol levels from stress have any correlation with cancer incidence or malignancy. This was a literature-based study done using several different peer reviewed research papers on the topic of cortisol and cancer. The main result of the research showed that, though high cortisol levels do not directly cause cancer to develop, their presence in patients with existing cancer will exacerbate the symptoms of the disease, the rate of malignancy, and the co-morbidities associated with certain cancers. This result could influence future cancer treatments, as a new course of action for the treatment and prevention of metastasis may lie within the management of cortisol levels in cancer patients.

Presenter(s): Molly Gallagher

Sponsoring Department: Biology

Mentor(s): He Liu

Presentation: 71

Title: Testosterone and the Implicated Risk Factors Involved in its Steady Decline

Abstract: Testosterone (T) is a key hormone, especially in males, where it regulates post-puberty physiological changes, reproductive health, and secondary sexual characteristics. It also affects mood, fat distribution, muscle mass, bone density, libido, and motivation. Since 1987, testosterone levels have declined, with infertility rates rising, likely due to environmental pollution and endocrine-disrupting chemicals. Researchers also point to obesity, poor diets, and sedentary lifestyles as contributing factors. This study examined testosterone levels among males in Erie, PA, and explores links between these levels and lifestyle factors such as physical activity, sleep, and nutrition. Our findings demonstrated significant differences (p

Presenter(s): Brennan Schmitt

Sponsoring Department: Biology

Mentor(s): Mary Vagula

Presentation:

Title: Fabrication of Silver Nanowire for Transparent Electronic Application

Abstract: Silver nanowires (AgNWs) are a versatile material used in a variety of fields. AgNWs can take the form of transparent conductive films making them ideal for a multitude of applications. The material itself is a conductive one-dimensional nanostructure with a diameter measuring between 10-200 nm and typical length ranging from 5-100 µm. The project introduces a polyol method to synthesize the silver nanowires. The nanomaterials will be characterized by a scanning electron microscope and spectrometer. Compressing the nanomaterials in the PET film results in creating a transparent and conductive plastic film. The electronic resistance will then be measured. Basic circuits will be demonstrated on the transparent conductive film.

Presenter(s): Jenna Miller, Paige Johnson

Sponsoring Department: Bio-Medical Engineering

Mentor(s): Longyan Chen

Presentation: 73

Title: Preparation of Fluorescent Gold Nanocluster Using Bovine Serum Albumin

Abstract: Fluorescent gold nanoclusters (AuNCs) have garnered significant attention in recent years due to their unique optical properties and potential applications in biomedicine, sensing, and imaging. In this study, we explore the synthesis of stable, red-emitting AuNCs using bovine serum albumin (BSA) as both a reducing agent and a capping agent. The formation of AuNCs is achieved through the interaction of BSA with gold salt, resulting in the reduction of gold ions and the subsequent stabilization of the nanoclusters by the protein’s amino acid residues. The resulting AuNCs exhibit strong red fluorescence with distinct absorption, emission, and excitation spectra, making them suitable candidates for various optical applications. The optical properties of the synthesized AuNCs are thoroughly evaluated, including their absorption, emission, and excitation spectra, which demonstrate significant fluorescence in the red region. Additionally, the impact of pH on the optical properties of the AuNCs is investigated, revealing a notable shift in fluorescence intensity and emission wavelength with changing pH levels. These findings provide valuable insights into the design of proteinstabilized AuNCs with tunable optical properties, which can be further optimized for specific applications in bioimaging and sensing.

Presenter(s): Abdalla Ibrahim, Ali Raju, Parker Stage

Sponsoring Department: Biomedical, Industrial and Systems Engineering

Mentor(s): Longyan Chen

Presentation: 74

Title: Quantum Mechanical Calculations of Stereoselectivity in the Proline-Catalyzed Asymmetric Aldol Reaction

Abstract: Asymmetric organocatalysis has revolutionized modern synthetic chemistry by enabling highly selective transformations under mild and environmentally friendly conditions. Unlike traditional metal-based catalysts, organocatalysts such as proline are sustainable, cost-effective, and reduce the need for toxic reagents, making them a greener alternative for organic synthesis. In this study, we employed quantum mechanical calculations using Spartan software to predict transition state energies for proline-catalyzed asymmetric intermolecular aldol reactions. By modeling various transition states, we aimed to identify optimal catalysts or reagents that could enhance reaction efficiency and stereoselectivity, contributing to the development of more efficient and sustainable catalytic processes.

Presenter(s): Altynai Taalaibekova

Sponsoring Department: Chemistry and Biochemistry

Mentor(s): Aaron Fields-Forbes

Presentation: 75

Title: Potentiometric Analysis of the Titratable Acidity of Beer: A Laboratory Experience for General Chemistry Students

Abstract: Acid-base titrations have been a fundamental part of general chemistry laboratory courses for many years. Although this analytical technique is quite dated when compared to many modern instrumental techniques, it continues to play a crucial role in modern chemical and biological analysis. Titrations, when utilized appropriately, can yield high accuracy, precision, and cost-effectiveness Therefore, it is essential for undergraduate chemistry students to gain experience with titrations as they progress in their scientific training. A laboratory procedure for undergraduates has been developed to measure the titratable acidity (an approximation of total dissolved acid concentration) of beer samples using potentiometric acid-base titrations. In this analysis, the student begins with a raw beer sample, carries out a short sample preparation procedure, and then titrates the sample using a standardized solution of strong base Continuous monitoring of the reaction with a pH meter allows the student to build an acid-base titration curve and calculate the titratable acidity. The sample preparation steps can be adapted to beers of varying acid concentrations to maintain titration curves of high quality. This laboratory procedure offers students more than just a routine titration exercise. It provides an opportunity to apply an important quality control measurement used in the beverage industry, as minor changes in pH can have major impacts on taste. The student gains experience with sample preparation, reagent standardization and a real-world application of acid-base titrations all within a single lab session

Presenter(s): Grace Ochs, Moira Stanisch

Sponsoring Department: Chemistry and Biochemistry

Mentor(s): Matthew Heerboth

Presentation: 76

Title: Operation “Swiper, No Swiping”: Detecting RFID Skimming Attempts

Abstract: RFID skimming poses a growing security threat, allowing attackers to intercept and misuse sensitive data from RFID-enabled devices. Our project aims to develop a real-time RFID detection and alerting system to enhance security and prevent unauthorized physical access, bridging cybersecurity monitoring with physical security measures. By deploying RFID receivers, we continuously monitor and analyze signal activity, identifying potential threats based on signal characteristics such as power, strength, and time. The system provides real-time alerts via email, enabling security personnel to respond quickly and mitigate threats. This project also will provide GIS mapping of important RFID data in Erie PA.

Presenter(s): John White, Kevin Baker, Luke Shragher, Andrew Lupejkis

Sponsoring Department: Computer and Information Science

Mentor(s): Peter Capelli, Mei-Huei Tang, Christopher Magno

Presentation: 77

Title: Confirmed Covid-19 Cases By County and Case Density

Abstract: This study maps the distribution of confirmed COVID-19 cases across counties in Pennsylvania, focusing on the relationship between population density and case prevalence. Using ArcGIS software, we mapped data from the Commonwealth of Pennsylvania’s official COVID-19 dataset, utilizing dot density to represent confirmed cases by county. The primary objective was to educate the community about the COVID19 impact in various counties, while also examining how population density correlates with the number of reported cases. Our findings reveal that urban and densely populated counties, including Allegheny, Philadelphia, Delaware, Somerset, Union, and Montour, experienced significantly higher numbers of confirmed COVID-19 cases compared to rural counties. This trend underscores the influence of population density on the spread of the virus. By visualizing the data, we aim to provide insights that could be used for future public health planning and intervention strategies, particularly in areas with higher case rates. The mapping exercise serves as a valuable tool for understanding regional differences in disease impact and can inform healthcare responses in case of future outbreaks. This study highlights the need for targeted health measures in urban areas to mitigate the spread of infectious diseases.

Presenter(s): Dylan Mihm, Dylan Mayer

Sponsoring Department: Criminal Justice

Mentor(s): Christopher Magno

Presentation: 78

Title: Food Deserts and their Impact on Public Health in Erie, Pennsylvania

Abstract: Erie, Pennsylvania faces significant challenges with food accessibility due to high poverty rates and limited grocery store availability Low-income neighborhoods often lack nearby grocery stores, forcing residents to rely on convenience stores with limited healthy options or travel long distances for nutritious food This lack of access contributes to poor nutrition and increases the risk of nutrition-related health issues, such as obesity and diabetes. This project maps food deserts in Erie, highlighting the correlation between poverty rates and grocery store access using data from ArcGIS Business Analyst (2024) and Dr Matthew Gacura The prevalence of obesity and diabetes was analyzed using data from the Centers for Disease Control and Prevention (2023) A comparative map reveals downtown areas with over 20% poverty rates and no grocery stores within one mile, classifying them as food deserts. These areas showed reduced fresh produce consumption and higher rates of obesity and diabetes. Conversely, households near big-box or chain grocery stores consumed more fresh produce in the past 6 months, with lower prevalence of obesity and diabetes The findings underscore the need for targeted interventions, such as free transportation for low-income families, increased funding for food access programs, and support for organizations like Groundwork Erie. By providing policymakers with clear visual data, this project aims to promote actionable solutions to reduce food insecurity and improve public health in Erie

Presenter(s): Jillian Sullivan, Ryan

Fisher Criminal Justice

Presentation: 79

Title: Garbage and Environmental Crime in Erie PA

Abstract: This project examines the spatial relationship between civilian-reported garbage incidents and official police records of garbage violations and environmental crimes in Erie, Pennsylvania, integrating demographic data to provide context. Utilizing ArcGIS mapping technology and data from the Erie Police Department and ESRI Business Analyst, the research identifies high-density areas of pollutants and litter to evaluate the effectiveness of Erie's current sanitation strategies. The key findings reveal significant inconsistencies between civilian reporting patterns and government documentation of waste-related issues, indicating a fundamental disconnect in communication and coordination between local authorities and community members. This misalignment suggests that existing reporting mechanisms fail to capture the complete picture of environmental concerns affecting residents Reported demographic data in the presented maps will also identify who is at risk of this spatial injustice, which allows viewers to make their own conclusions about related social issues The research concludes that more accessible and streamlined systems for civilian reporting should be implemented, potentially incorporating volunteer participation to address garbage accumulation without diverting police resources from other priorities Such community-integrated approaches could enhance both the accuracy of environmental violation tracking and the efficiency of clean-up efforts, ultimately creating a more responsive and effective waste management framework for Erie

Presenter(s): David Duncan

Sponsoring Department: Criminal Justice

Mentor(s): Christopher Magno

Presentation: 80

Title: Healthcare Deserts for Low-income and Refugee Communities in Erie, PA

Abstract: Limited healthcare access affects low-income and refugee communities, where barriers such as transportation, language, and financial constraints contribute to health disparities. This study uses Geographic Information Systems (GIS) to map healthcare facility distribution, public transportation, and socioeconomic factors in Erie, PA. Identifying healthcare deserts-areas with inadequate medical services. Using data from the U.S. Census Bureau, GIS databases, and public health sources, this analysis examines hospital and clinic locations, poverty rates, and refugee populations. Preliminary findings highlight significant gaps in healthcare accessibility, particularly in areas with high refugee populations and poor public transit. By visualizing these disparities, this project informs policymakers, urban planners, and healthcare providers, offering data-driven insights to improve healthcare distribution. Addressing these inequities is essential for promoting health equity and expanding access to medical services for underserved populations in Erie, PA.

Presenter(s): Lina Windi

Sponsoring Department: Criminal Justice

Mentor(s): Christopher Magno

Presentation: 81

Title: Income Disparity Based on Race and Education Level in the City of Erie 2024

Abstract: Race plays a crucial role in shaping the economic status and educational attainment of families. Secondary and specifically post-secondary education has been linked with upward social mobility.This GIS Mapping project seeks to explore the relationship between income levels and educational achievements across Erie neighborhoods. Specifically, it aims to highlight areas with lower income that also have lower levels of educational attainment. To conduct this analysis, ArcGIS software was used to process and map data on income, education, and racial demographics from the Business Analyst dataset.

Presenter(s): Reeya Magar

Sponsoring Department: Criminal Justice

Mentor(s): Christopher Magno

Presentation: 82

Title: Jefferson Elementary Safe Routes for Students: Overview of Hazards and Crime

Abstract: The purpose of this project is to examine the relationship between crime and hazards in relation to safe routes to school. Previous studies indicate that students can benefit from walking to and from school, gaining health benefits, enhancing mental well-being, and improving social skills. However, there are challenges associated with walking, particularly safety concerns as students navigate different neighborhoods. To address these issues, the maps below utilize crime data from the Erie Police Department to highlight serious offenses along the routes students use to get to school. Additionally, I incorporated hazard data collected during the Safe Routes project, sponsored by United Way in the fall of 2024, to identify local walking hazards within a 1-mile radius of Jefferson Elementary.

Presenter(s): Brandon Shepard

Sponsoring Department: Criminal Justice

Mentor(s): Christopher Magno

Presentation: 83

Title: Jo Anna Connell Elementary School Safe Routes for Students: Overview of Crime Data

Abstract: This project uses GIS to analyze and identify safe walking routes for students at Jo Anna Connell Elementary in the Erie School District. The aim is to enhance student safety, promote healthy transportation options, and reduce traffic congestion around the school. Through spatial analysis, key factors such as traffic volumes, crime rates, and pedestrian infrastructure are examined to determine the safest routes. Research questions focus on identifying routes with varying traffic and crime levels, and assessing the availability of sidewalks, crosswalks, and traffic signals. The study utilizes data from sources like the Erie Police Department to visualize these factors through GIS heatmaps. The deliverables include GIS maps that highlight safe and hazardous walking routes, a research report summarizing findings, and recommendations for improving pedestrian safety. The findings aim to support decision-making by school administrators and local policymakers, enabling them to improve infrastructure, enhance safety measures, and promote safe walking routes. This project ultimately seeks to provide actionable insights for improving student well-being and fostering community engagement in the Erie School District

Presenter(s): Alexandros Kotskar

Sponsoring Department: B Criminal Justice

Mentor(s): H Christopher Magno

Presentation: 84

Title: Locating Areas in the City of Erie Where Solar Power Would be the Most Beneficial

Abstract: This project aims to identify areas in Erie, PA, where solar power would be the most beneficial in reducing energy costs and promoting sustainability. With rising electricity and natural gas prices, this research utilizes Geographic Information System (GIS) technology to analyze energy cost distribution across the city. By mapping data and identifying hotspots, we locate the regions with the highest energy expenses to target for solar panel implementation. The findings indicate that the northwest area near the bayfront experiences the highest energy costs, making it an optimal candidate for solar energy initiatives. Data from GIS Business Analyst and Project Sunroof were used to develop a comprehensive assessment of the energy landscape in Erie. The insights from this project provide data-driven recommendations for policymakers, urban planners, and community advocates. These recommendations may include targeted solar incentives, community solar initiatives, and zoning reforms to improve renewable energy accessibility in high-cost neighborhoods. By implementing these strategic measures, Erie can enhance energy affordability, reduce reliance on fossil fuels, and promote environmental sustainability. This research serves as a roadmap for transitioning high-cost areas to cleaner and more cost-effective energy solutions.

Presenter(s): Jordan

Kraus

Sponsoring Department: Criminal Justice

Presentation: 85

Title: Major Pollution Vectors in Lake Erie Water Basin and Effected Areas

Abstract: This project examines the major pollution vectors within the Lake Erie Water Basin, identifying the industries contributing to environmental degradation and the affected areas. Utilizing Geographic Information System (GIS) technology, this research maps pollution sources and the extent of their effects, offering a comprehensive view of industrial pollution in the region. Data from the Toxics Release Inventory (TRI) for U.S. pollutants and the National Pollutant Release Inventory (NPRI) for Canadian pollutants, along with GIS Business Analyst tools and data collected from Hydrosheds, were used to conduct this analysis. Findings indicate that hundreds of industries operate within the Lake Erie Basin, releasing a variety of pollutants with varying levels of environmental impact. While some areas experience minimal pollution, others face significant contamination, affecting water quality and surrounding communities. This project aims to highlight the disproportionate impact of pollution on the Lake Erie Basin, raising awareness of environmental hazards and informing policy decisions. By providing data-driven insights, the study supports sustainable strategies for improving water quality and public health around Lake Erie. Ultimately, the research seeks to contribute to a more just and environmentally responsible future for the region.

Presenter(s): Jordan Kraus

Sponsoring Department: Criminal Justice

Mentor(s): Christopher Magno

Presentation: 86

Title: Mapping Air Quality Versus Demographics across Pennsylvania Counties

Abstract: This project examines the relationship between air quality and demographic factors across Pennsylvania's counties, with a focus on understanding how population density, industrial activity, and transportation influence the Air Quality Index (AQI) Poor air quality is a significant public health concern, linked to conditions like asthma, heart disease, and premature death, particularly in industrial areas. Vulnerable groups, including children, the elderly, and low-income communities, face disproportionate exposure to harmful pollutants. By integrating demographic data from ESRI Business Analyst and air quality data from the Pennsylvania Department of Environmental Protection (PADEP), the project uses Geographic Information Systems (GIS) to map AQI levels alongside population and industrial factors. Initial findings suggest that counties with larger populations and more industrial or transportation activity tend to have poorer air quality. The project's goal is to create a comprehensive GIS map that visualizes these relationships, offering insights for policymakers, public health officials, and environmental organizations This resource will identify the communities most at risk, helping to guide targeted interventions aimed at improving air quality and mitigating health risks. Ultimately, the project seeks to inform strategies for better environmental management and public health protection across Pennsylvania.

Presenter(s): Elijah Ruppert

Sponsoring Department: Criminal Justice

Presentation: 87

Title: Mapping and analyzing tree cover and species on Gannon University Campus

Abstract: The purpose of this study is to examine ecological health and sustainability, looking at tree cover and species diversity on Gannon University’s campus. The primary objectives is to identify areas lacking tree cover and evaluate the species present. Satellite data of tree cover from the University of Vermont is used to compare tree cover on campus to Erie City. Additionally, a past dataset of tree species collected by Gannon’s Biology Department has categorized species into invasive, non-native, and native groups. Using ArcGIS and Excel, the study finds that Gannon campus has low tree cover and a significant presence of invasive species. These invasive species pose a threat to the local ecosystem, suggesting the need for a strategic plan to increase native tree species on campus. The study concludes that Gannon University should prioritize expanding green spaces and replacing invasive species with native Pennsylvanian trees to improve ecological sustainability. The findings highlight the importance of urban forestry in creating healthier, more sustainable campus environments.

Presenter(s): Kiley Williams

Sponsoring Department: Criminal Justice

Mentor(s): Christopher Magno

Presentation: 88

Title: Mapping Aviation Accidents in the Mainland US

Abstract: This project aims to analyze the relationship between aviation accidents and their proximity to hospitals across the United States. By mapping incidents from 2020 to 2025 in relation to major airports and hospitals, the project highlights areas where quick access to emergency medical services could potentially save lives. With faster response times from first responders, the likelihood of survival after an aviation accident can increase significantly. The map integrates multiple data sources, including the NTSB Event Database, airport coordinates, and hospital locations, which are plotted using latitude and longitude to pinpoint accident sites and medical facilities. Through the analysis, it was found that a significant number of accidents occur within a 50mile radius of both airports and hospitals, particularly in regions like Southern California, Florida, and the MidAtlantic. By visualizing the concentration of these incidents, the project aims to inform strategies for improving first response times, ultimately reducing the loss of life in the aftermath of aviation accidents. This data-driven approach could prove valuable for enhancing emergency response infrastructure and planning in high-risk areas.

Presenter(s): Damien Chu

Sponsoring Department: Criminal Justice

Presentation: 89

Title: Mapping Cancer Incidence and Health Disparities in Erie, PA

Abstract: Cancer incidence is seen to be disproportionately high in certain communities, and factors such as environmental pollution, socioeconomic status, and healthcare access may contribute to these disparities. This study maps cancer incidence in Erie, PA, using Geographic Information Systems (GIS) to explore the spatial patterns of cancer risk. By overlaying cancer data with socioeconomic and healthcare access data, this research seeks to identify high-risk areas and the drivers of cancer prevalence. GIS tools will visualize cancer hotspots and examine correlations with factors such as income inequality, and proximity to healthcare resources. Secondary data sources include cancer incidence data from the Pennsylvania Department of Health, socioeconomic data from the U.S. Census Bureau, environmental data from the EPA, and healthcare access information from local sources. The findings aim to reveal areas where cancer rates are high due to limited healthcare access or poverty levels. This research will provide insights for policymakers, public health officials, and urban planners, offering data-driven recommendations for targeted interventions to reduce cancer disparities and promote health equity in Erie, PA.

Presenter(s): Matthew Nichilo

Sponsoring Department: Criminal Justice

Mentor(s): Christopher Magno

Presentation: 90

Title: Mapping Toxic Chemical Release in the State of Pennsylvania in 2023

Abstract: Using ArcGIS, this poster presents an in-depth analysis of toxic chemical releases in Pennsylvania during 2023, leveraging GIS mapping to assess spatial patterns, environmental justice concerns, and public health implications By utilizing data from the Toxics Release Inventory (TRI), this project identifies key regions of concern, highlights the correlation of toxic releases with demographic and socioeconomic factors, and explores the role of infrastructure in exacerbating exposure risks. The research focuses on industrial hotspots such as Pittsburgh, Philadelphia, and Scranton, where marginalized communities including low-income residents and people of color often bear the brunt of chemical emissions. Additionally, rural communities near agricultural operations face significant exposure to hazardous pesticides and fertilizers GIS visualization techniques such as attribute tables and spatial overlays illustrate the concentration of toxic releases and their proximity to vulnerable populations. The findings emphasize the critical need for targeted policy interventions and infrastructure improvements to mitigate environmental and health disparities The data-driven maps and analyses provide actionable insights for policymakers, community leaders, and advocacy groups, fostering awareness of spatial justice issues and driving efforts to reduce chemical releases Ultimately, this project serves as a call to action, advocating for a healthier, more equitable environment for Pennsylvania residents while offering a replicable framework for addressing similar challenges elsewhere

Presenter(s): Tien Luu, Carson Whiteman

Sponsoring Department: Criminal Justice

Presentation:

Title: McKinley Elementary School Walkability & Safety Overview: Hazards, Crime Index, and Safe Routes

Abstract: The Safe Route project is designed for use by the City of Erie Police Department, Erie School District, McKinley Elementary School, and United Way. Its goal is to provide comprehensive information on the safety and walkability of routes students take to school each day. This project compiles data on local crimes, street safety, and sidewalk hazards to assess the overall safety of students walking to school. Crime data is sourced from 2023 records provided by the Erie Police Department, transferred from a spreadsheet into a mapped format. Walkability hazard data has been collected by Gannon University students and United Way employees to identify specific risks along school routes.

Presenter(s): Matthew Sayban

Sponsoring Department: Criminal Justice

Mentor(s): Christopher Magno

Presentation: 92

Title: Red-lining & Spatial Injustice: Housing Availability and Affordability in Erie, PA

Abstract: This project examines the legacy of red-lining and its ongoing impact on housing availability and affordability in Erie, PA. Historically, red-lining was a discriminatory practice that denied credit and investment to certain neighborhoods based on race, ethnicity, or socioeconomic status. In Erie, the "D-4" neighborhood, home to Russian, Polish, and Black families, was significantly affected by this practice. Using Geographic Information Systems (GIS), the project aims to analyze housing availability, prices, and population income across Erie, particularly focusing on areas that were once red-lined. Data from ESRI Business Analyst and Wagner’s Complete Map of Erie will be used to map and assess housing density, pricing, and socio-economic status. The study expects to find that former red-lined neighborhoods will exhibit lower housing availability and higher poverty rates. The project’s findings will shed light on the enduring effects of red-lining on housing markets and the correlation between affordability, income, and location. Ultimately, the goal is to highlight the continuing disparities and encourage policies to address these inequalities in today’s housing market.

Presenter(s): Gabriel

Hollenbeck

Sponsoring Department: Criminal Justice

Mentor(s): Christopher Magno

Presentation: 93

Title: Rooted in Data: Mapping Erie's Trees

Abstract: Urban forestry plays a critical role in enhancing the quality of life in cities. Mapping tree species in Erie, PA, provides valuable insights into tree distribution, species diversity, and areas lacking green coverage This project aims to document the exact coordinates and total number of trees, offering a comprehensive visualization of tree density across different neighborhoods The study utilized various mapping techniques, including data integration from Excel into GIS software, coordinate-based point plotting, and symbology tools for clear visualization. Essential cartographic elements such as a north arrow, title, scalebar, and legend were incorporated to enhance readability Business Analyst data and tree location records served as the primary data sources. Key findings indicate a significant deficiency of trees in the East and West Bayfront areas, as well as in the region extending from Cherry to Burton past 26thStreet These results suggest that targeted afforestation efforts could improve environmental conditions and urban aesthetics in these neighborhoods. While trees alone do not define quality of life, they contribute to air quality, shade, and overall urban wellbeing This research highlights the need for strategic urban planning initiatives to enhance Erie’s green infrastructure. Similar to past forest trends seen across Pennsylvania, where species diversity have been significantly impacted by human activities, Erie’s urban forests also face challenges that require intentional, data-driven interventions to ensure sustainable growth and resilience of green spaces

Presenter(s): Luke Shragher, Kevin Baker

Sponsoring Department: Criminal Justice

Mentor(s): Christopher Magno

Presentation: 94

Title: Walkability Hazard and Crime Safety Index Lincoln Elementary School

Abstract: Many school-age children and their families within a 1.5-mile radius of Lincoln Elementary School rely on walking as their primary mode of transportation due to the lack of bus services. However, Erie’s harsh weather and ongoing infrastructure neglect have contributed to deteriorating road and sidewalk conditions, creating safety hazards for pedestrians. Cracked sidewalks, unmarked crossings, and traffic violations present significant risks. This research is part of an ongoing effort to assess and improve walking routes to schools across Erie, with a specific focus on Lincoln Elementary. This study aims to evaluate the safety and accessibility of pedestrian routes and advocate for necessary infrastructure improvements. Data from the Erie Police Department, ArcGIS Business Analyst, and local field assessments were used to analyze road conditions and map safety risks. Findings highlight varying levels of hazards, including unsafe intersections, poor sidewalk conditions, and high-risk crime areas, leading to the development of a walkability hazard scale. The results of this project provide a critical assessment of pedestrian safety, offering insights for policymakers and community stakeholders to implement targeted improvements. By addressing these hazards, the study supports efforts to create safer, more equitable walking conditions for students in Erie.

Presenter(s): Matthew Wegley

Sponsoring Department: Criminal Justice

Presentation:

Title: The Impact of Industrial Air Pollution on Cancer Risk: Identifying Vulnerable Populations

Abstract: Exposure to industrial air pollution has been linked to an increase in cancer diagnoses, particularly in communities situated near industrial plants. This study investigates the connection between air pollution and cancer risk, focusing on the major pollutants involved and identifying populations at higher risk. The City of Erie, PA, serves as a case study, where extensive research shows that neighborhoods with higher levels of industrial air pollution have a significant correlation with increased cancer rates. Data from the Toxic Release Inventory and the CDC were analyzed to assess the relationship between pollution exposure and cancer incidence in these areas. The findings indicate that cancer hotspots align with regions where industrial pollutants are most concentrated, suggesting a direct impact on public health. Vulnerable populations, particularly those living near industrial facilities, are at heightened risk due to prolonged exposure to harmful air contaminants. This study emphasizes the need for public health initiatives to regulate and monitor air pollution levels, with the goal of establishing acceptable thresholds that ensure healthy living conditions. It also advocates for further research to better understand the specific pollutants involved and to develop strategies to mitigate their effects on vulnerable communities.

Presenter(s): Lexyannah Grebiner, Nafeese Morgan

Sponsoring Department: Criminal Justice and Biology

Mentor(s): Christopher Magno, Gary Vanderlaan

Presentation: 96

Title: Mapping Radon Level in Pennsylvania Counties

Abstract: For this project, I analyzed radon levels across Pennsylvania counties to understand the distribution and potential health risks associated with elevated exposure. Radon, a naturally occurring radioactive gas from uranium decay, is the second leading cause of lung cancer in the U.S. Despite existing awareness campaigns, many homeowners remain unaware of their radon exposure levels, creating a significant public health concern. Using GIS, I mapped radon concentrations across Pennsylvania counties and overlaid various factors to examine potential correlations. This spatial analysis aims to identify high-risk areas where mitigation efforts should be prioritized. Additionally, I explored the relationship between radon levels and lung cancer rates to assess the impact on public health. My findings suggest that radon exposure varies significantly across the state, emphasizing the need for targeted awareness and mitigation strategies.

Presenter(s): Juhi Maharjan

Sponsoring Department: Criminal Justice and Marketing

Mentor(s): Christopher Magno

Presentation: 97

Title: The Relationship of Erie’s Property, Income, Poverty, and Crime

Abstract: This study investigates the relationship between property, income, poverty, and crime rates in Erie, Pennsylvania. Recognizing income disparities across various block groups in Erie, the research explores how these disparities may influence crime rates in the region. The objective of this analysis is to identify high-crime hotspots and provide valuable insights for community decision-making, particularly for local committees and businesses. Using data from the Erie Police Department and Business Analyst, the study employs ArcGIS mapping tools to examine the correlation between income levels, property values, poverty rates, and crime occurrences. The assumption is that lower-income areas are more likely to experience higher crime rates, a hypothesis visually represented through spatial maps. These maps are designed to simplify the complex relationship between socio-economic factors and crime, making it easier for stakeholders to prioritize areas for intervention. The findings aim to support businesses in selecting strategic locations for stores and guide community efforts in crime prevention. Ultimately, this project seeks to provide actionable information to improve decision-making, promote awareness, and encourage positive changes to enhance the quality of life in Erie.

Presenter(s): Shota Toyama

Sponsoring Department: Criminal Justice and Marketing

Mentor(s): Christopher Magno

Presentation:

Title: “This Saying is Hard”: Analyzing Jesus’ Implementation of Rhetorical Appeals Throughout the Bread of Life Discourse

Abstract: In the sixth chapter of the Gospel according to John, Jesus promises manifold rewards to His listeners and future readers who eat the “bread of life” He claims to be. As a result, the passage has become known as the Bread of Life Discourse. Catholic Christians have understood Jesus’ prompting literally and see it actualized in their reception of Holy Communion. Considering the significance of Jesus’ discourse, this project analyzes the Bread of Life Discourse through a rhetorical lens. I focus on His appeals to ethos, logos, pathos, and kairos, and examine how His message was received by the crowd then and by contemporary audiences now. Jesus’ statements about consuming His flesh and blood challenged the religious and social expectations of His listeners. Despite Jesus’ implementation of persuasive strategies, the crowd's reaction was one of confusion, rejection, and abandonment. Similarly, today’s interpretations of the discourse face resistance due to cultural and theological barriers. This project highlights the rhetorical challenges Jesus faced in attempting to communicate profound ideas, illustrating how even powerful rhetorical strategies can fail to achieve the desired effect when audience comprehension is limited or misconstrued.

Presenter(s): Dale Hyland

Sponsoring Department: English

Presentation: 99

Title: Living the Disney Dream: Analyzing my Creative, Innovative, and Collaborative Experiences on the Disney College Program through Autoethnography

Abstract: During the Fall 2024 semester, I participated in the Disney College Program [DCP]. I primarily worked at Disney’s Wilderness Lodge’s gift shop, with further opportunities to pick up shifts at other Disney merchandise locations. Additionally, I had exclusive learning opportunities that allowed me to earn my Mouseter’s degree and learn about the behind-the-scenes strategies of the Walt Disney Company. Considering foundational concepts of being an innovator, creator, and collaborator from Gannon’s Minor in Innovation and Creativity, in this poster I examine myself and my stages of involvement as a Disney cast member. Utilizing autoethnography, my method was to record, with writing, pictures, and social media posts, my completion of the living, learning, and earning aspects for the DCP. These methods provided me insight into how Disney creates an innovative experience for cast members, and who I am now as a creator, innovator, and collaborator. Overall, I invite the audience to look beyond the obvious components of the Disney College Program and discover their own magical opportunities that await in life.

Presenter(s): Madeline Emerson

Sponsoring Department: English

Mentor(s): Lauren Garskie

Presentation: 100

Title: One Pre-Service Teacher's Journey With Alternative Grading Practices

Abstract: Most secondary English Language Arts (ELA) teachers use traditional grading, which has been heavily critiqued by critics like Alfie Kohn and Joe Feldman. These critiques point toward traditional grading not leaving space for threshold concepts [TC] of writing to be incorporated into the ELA classroom. However, there are alternative grading practices that may better support and value the TCs. In exploring those alternatives, I ultimately argue that labor-based grading best supports and values the TC with pointless following close behind. Overall, I invite the audience to consider how alternative grading practices can value the threshold concepts of writing that are important to their development as writers.

Presenter(s): Jada Abrams

Sponsoring Department: English

Mentor(s): Lauren Garskie

Presentation: 101

Title: Assessing Heavy Metal Contamination around the Erie Coke Plant with the use of Geographical Information Systems

Abstract: This study highlights the impact of heavy metal contamination in local soil and sediment surrounding the Erie Coke Plant in Erie, Pennsylvania, with a focus on the environmental impacts of improper storage and disposal methods. This is investigated and analyzed through physical sampling and the use of Geographical Information Systems (GIS) to identify heavy metal concentrations in the soil and sediment within a 3-mile radius of the Erie Coke Plant. GIS software, including ArcMap, is used to visualize the environmental impacts of heavy metal leaching and to accurately show sampling locations within the study area. This research emphasizes the necessity of substantial remedial plans and possible governmental regulations and/or assessments required to lessen the effects that past industrial activities continue to have on the ecosystem.

Presenter(s): Haleigh Manning, Maddy Wheatley

Sponsoring Department: Environmental Science and Engineering

Mentor(s): Hwidong Kim

Presentation: 102

Title: Impacts of Rock Salt Application on Heavy Metal Leaching in Mill Creek, Erie PA

Abstract: Erie, Pennsylvania, located on the coast of Lake Erie in the “Snow Belt”, receives heavy snowfall resulting in approximately 160,000 tons of sodium chloride, or rock salt, being used to keep roadways safe. The presence of sodium chloride in aquatic ecosystems can leach heavy metals from sediment, impacting environmental and human health. This project aimed to assess the temporal change in chloride concentration and its effect on heavy metal concentrations in Mill Creek, a highly urbanized stream in the city of Erie that flows directly into Lake Erie. Three locations along the stream were tested before and after snow season where road salt is applied and may potentially enter the stream from melting snowpack. The first samples taken during the pre-snow season were used to get a baseline for the concentrations of heavy metals and sodium chloride already present in Mill Creek. During the snow season, snowpacks piled on curbsides were sampled and analyzed for concentrations of heavy metals. As snowpacks melted in early spring, samples were taken from the same locations to note any changes in heavy metals in the aquatic ecosystem. These concentrations were evaluated to interpret the potential effects on environmental and public health.

Presenter(s): Erin Platz, Bella Gambini

Sponsoring Department: Environmental Science and Engineering

Presentation: 103

Title: Hack Your Brain: The Science of Supercharged Memory Improving Learning Through Effective Memory Techniques

Abstract: The brain is a powerful organ we rely on daily, yet much of its functionality operates automatically. Memory, one of its critical functions, often causes us to remember what we’d prefer to forget and overlook what we want to retain. While part of our memory capacity is genetic, much of it can be enhanced through effective strategies, unlike the passive, brute-force techniques commonly taught in schools. Techniques such as the Memory Palace (Method of Loci), Chunking, Visualization, and Mnemonics improve recall by associating, grouping, and transforming information into memorable formats. This study investigates why people forget, what determines the brain’s storage priorities, and how memory improves when these evidence-based techniques are applied effectively.

Presenter(s): Ngendananimana Arthur

Sponsoring Department: Philosophy and Theology

Mentor(s): Dominic Prianti

Presentation: 104

Title: Women in Tech Breaking Barriers and Bridging Gaps

Abstract: Gender Inequality in technology is an issue that has been around for decades. It begins in childhood and carries on into adulthood. From early childhood, kids are often told that certain careers are not made for girls, often including technology fields and engineering. This gendering with careers pushes boys toward technology fields and communicates to girls toward other fields like nursing and primary education. Despite girls doing just as well or even better than boys when it comes to math and science, cultural gendering with a strong lack of role models in the technology industry fosters drifting away from the career and believing that it is simply not for them. As of 2024, the percentage of females in the industry is 22.2%, nearly half of the percentage of males in the industry. Females who do end up in the field often go through different obstacles such as unfair treatment, lower pay, and lesser opportunities than males. Females of color or from the LGBTQ+ community tend to face further discrimination. This presentation will demonstrate the gender bias in technology careers and offer some potential solutions for change in the industry..

Presenter(s): Saraswoti Timsina

Sponsoring Department: Philosophy and Theology

Mentor(s): Dominic Prianti

Presentation: 105

Title: Recycling Boat Shrink-Wrap from the Erie Bayfront

Abstract: The Erie Bayfront is home to hundreds of boats that are covered by single-use shrink-wrap, used to protect boats from harsh weather during the winter. This project aims to design a more efficient method for collecting and recycling used plastic boat wraps, with the opportunity to be carried out for multiple years and on a larger scale. The project aims to engineer a compression system that can be used to efficiently store used boat wrap. This will allow a large amount of boat wrap to be easily shipped to partner recycling companies. This project also aims to raise awareness in the boat-owner community in order to encourage waste reduction and promote participation. The end goal is to explore long-term sustainability measures in the Erie Community.

Presenter(s): Abigale Moskala, Kyle Westfall, Reed Edgar, Alexis Mobilia, Alexa Stevwing

Sponsoring Department: Scholars of Excellence in Engineering and Computer Science (SEECS)

Mentor(s): Nick Devine

Presentation: 106

Title: Design and Implementation of an Automated Ebb and Flow System for a Greenhouse

Abstract: This project involves the development of a self-watering ebb and flow irrigation system for automated plant care within a greenhouse environment. Whilst meeting the needs of the Regional Science Consortium, the system will be installed inside a newly constructed native propagation greenhouse adjacent to the Gannon University football field.The design employs a watertight irrigation table designed to periodically flood with water, ensuring appropriate hydration for a diverse collection of wetland and upland plants, each with specific watering needs. To achieve water containment, the metal table will first be covered with a 40mil pond liner. Automated water level control and irrigation scheduling will be managed using programmable water sensors affixed to the table. Upon detecting specific moisture conditions, these sensors will signal the system to open an electronically controlled valve connected to the greenhouse water spigot. Water will then flow onto the table via a standard garden hose arranged along the table's perimeter.Additionally, the design includes a manual drainage mechanism integrated into the table, allowing for periodic maintenance and cleaning of the liner and table surface. This automated system significantly reduces manual labor while providing optimal growing conditions, ultimately enabling successful propagation and preparation of plants for integration.

Presenter(s): Oliver Konzel, Dylan Flinchbaugh, Jessica McCracken, Rosalie Dehn, Anthony Glessner

Sponsoring Department: Scholars of Excellence in Engineering and Computer Science (SEECS)

Presentation: 107

Title: Autoimmune Disease

Abstract: Growing older is an unavoidable fact of life that we cannot prevent. While we cannot prevent its progression, we can take actions to lessen the threat of cognitive decline. Cognitive decline is the loss of mental abilities. A great way to combat this is frequent exercise. Exercise not only works to increase muscle mass, bone density, and joint health, it also has been linked to improvements in brain health and function in aging populations. Exercise refers to many different activities; however, I will be talking about resistance and aerobic training. Resistance training refers exercises that build muscle and strength. Aerobic training refers to actions that increase heart rate and oxygen consumption. Many studies have seen that “an active lifestyle lowers the risk of cognitive decline.”

Presenter(s): Maggie Mahoney

Sponsoring Department: Honors Program

Mentor(s): Eric Dart

Presentation: 108

Title: Designer Babies and In-Vitro Fertilization

Abstract: N/A

Presenter(s): Cassidy Fullen

Sponsoring Department: Honors Program

Mentor(s): Eric Dart

Presentation: 109

Title: Einstein Approved Anti-Aging Treatments

Abstract: N/A

Presenter(s): Julia Bukowski

Sponsoring Department: Honors Program

Mentor(s): Eric Dart

Presentation: 110

Title: Negative Impacts Caused by Lack of Proper Dental Hygiene

Abstract: Dental care in the modern world has become a pillar in everyday life. The expectation to have well maintained teeth has been formed by several different sources, two being societal norms and the other being a persons health. Without proper access to dental care, there can be various effects on an individuals life that may not be apparent. A proper dental care routine can prevent a multitude of issues affecting a range of aspects of a persons life. Three of the major examples include a persons mental health, their physical health, and their employment, which has an effect on the persons economic status. An issue in one of these areas of persons life can have major impacts on other areas as well, which is access to dental care is so important.

Presenter(s): Blaise Cunningham

Sponsoring Department: Honors Program

Mentor(s): Eric Dart

Presentation: 111

Title: Women with Cardiovascular Conditions: An Approach to Healthcare Bias

Abstract: N/A

Presenter(s): Lilly Mahle

Sponsoring Department: Honors Program

Mentor(s): Eric Dart

Presentation: 112

Title: The Implications of Organ Trafficking on Public Health: A Global Perspective

Abstract: Trafficking human beings for organ removal (THBOR) is a human rights violation and a transnational crime. Organs are harvested for transplantations under unethical and life threating conditions. It is not a new phenomenon but remains a hidden underground activity. It is difficult to know exactly how many people have been victims or recipients because of the complex nature of organ trafficking. However, about 10% of the organ transplants done globally are completed using black market organs (Negri, 2016; United Nations, 2018). Several factors, motivate this crime, particularly shortages of healthy organs in the legal transplant system (UNODC). This poster explores the prevalence and process of THBOR. I investigates the social determinates of health and relationship with THBOR, and present perspectives of young adults on THBOR from survey data.

Presenter(s): Niomi Viera

Sponsoring Department: Honors Program

Mentor(s): Nicole John-Danz, Tyler Perkins

Presentation: 113

Title: Correlation between Exercise and Cognitive Decline in Older Population

Presenter(s): Luke Paskey

Sponsoring Department: Honors Program

Mentor(s): Eric Dart

Presentation: 114

Title: Impact of Human-Generated Radio Waves on Aerial Animal Migration

Abstract: This project examines how human-generated radio waves disrupt aerial animal migration.

Presenter(s): Samir Pyakurel

Sponsoring Department: Honors Program

Mentor(s): Eric Dart

Presentation: 115

Title: Integrating AI in Business

Abstract: Artificial Intelligence (AI) is no longer a futuristic tool it is a cornerstone of modern entrepreneurship. This poster explores the necessity of AI in businesses, highlighting its benefits, challenges, and solutions. It provides actionable steps for entrepreneurs to integrate AI effectively, driving efficiency, scalability, and growth. With insights, real-world applications, and a focus on accessibility, this guide demystifies AI for small businesses and empowers them to embrace innovation.

Presenter(s): Supra Takhachhe Shrestha

Sponsoring Department: Honors Program

Mentor(s): Eric Dart

Presentation: 116

Title: Organic vs. Processed

Abstract: N/A

Presenter(s): Emily Wheaton

Sponsoring Department: Honors Program

Mentor(s): Eric Dart

Presentation: 117

Title: Gym Culture, Social Media, and Masculinity

Abstract: N/A

Presenter(s): Isaac Wheeler

Sponsoring Department: Honors Program

Mentor(s): Eric Dart

Presentation: 118

Title: Celiac Disease: More than Just a Dietary Restriction

Abstract: Celiac disease (CD) is an autoimmune and malabsorption disorder prevalent in between 1-2% of the global population. With increasing testing, the condition is thought to be even more prevalent and continuing to ncrease in case frequency. Celiac disease is currently treated with a strict diet and lacks any additional approved treatment method. Continued research is required to define the disease and push for treatments that less dramatically affect the patient’s quality of life. Moreover, it is important to create a space for education on autoimmune disorders, particularly celiac disease so that individuals that live with it can navigate life with more available resources to improve overall quality of life with the disease.

Presenter(s): Jillian Sullivan

Sponsoring Department: Honors Program

Mentor(s): Eric Dart

ERIE UNDERGRADUATE RESEARCH AND SCHOLARSHIP PLATFORM

PRESENTATIONS

1:30

Presentation Schedule – Beyer Hall 405

Research & Scholarship

1:45

2:00

Research & Scholarship

Public Service and Global Affairs Psychedelics. History and Positive Effects on Mental Health Zachary Hockinson

Public Service and Global Affairs The Nursing Home Reform Act of 1987 and its Implications: An Extensive Look at Elder/Geriatric Law in the United States Kiaran Todd

Research & Scholarship Public Service and Global Affairs

Stellar Endings, Human Beginnings: The Fate of the Sun and the Future of Civilization Braeden Soboleski

2:15 Research & Scholarship Public Service and Global Affairs Truman's Decision to Drop the Atomic Bomb Jacob Skolnik

2:30 Research & Scholarship Public Service and Global Affairs The WorkingClass Blues: Democrats and the Diploma Divide Anna Malinowski

Psychedelics: History and Positive Effects on Mental Health

Presentation: 119

Title: Psychedelics: History and Positive Effects on Mental Health

Abstract: This paper traces humanity's long relationship w/ consciousness-altering substances, from ancient indigenous practices to modern scientific research I explore how Aldous Huxley's groundbreaking work "The Doors of Perception" provided key insights into the nature of psychedelic experiences, revealing how substances like mescaline could unveil what he called "the miracle of naked existence." The therapeutic potential of LSD emerged in the 1950s when researchers saw unprecedented possibilities for mental health treatment, only to be abruptly halted during the cultural backlash & political crackdown of the 1960s-70s After three decades underground, psychedelic research experienced a renaissance beginning in 2006 with three pivotal events: Albert Hofmann's 100th birthday symposium, a Supreme Court ruling supporting religious use of ayahuasca, & Roland Griffiths' landmark paper on psilocybin-induced mystical experiences. This revival led to methodical, rigorous research at institutions like Johns Hopkins, NYU & UCLA, demonstrating profound therapeutic benefits for conditions ranging from depression to end-of-life anxiety Key figures like Rick Doblin & Bob Jesse worked in different but complementary ways to restore scientific legitimacy to the field, creating opportunities for psychedelics to reenter mainstream medicine & potentially transform our understanding of consciousness itself.

Presenter(s): Zachary Hockinson

Sponsoring Department: Public Service & Global Affairs

Mentor(s): Jeffrey Bloodworth

The Nursing Home Reform Act of 1987 and its Implications: An Extensive Look at Elder/Geriatric Law in the United States

Presentation: 120

Title: The Nursing Home Reform Act of 1987 and its implications: An Extensive Look at Elder/Geriatric Law in the United States

Abstract: A society’s ability to care for elderly individuals has long been an indicator of the advancement of infrastructure within civilization Indeed, different cultures throughout history have had unique systems in place to deal with issues of elderly wellbeing within society. Today, as civilization grows more advanced, that infrastructure has advanced past many of these archaic systems in order to adequately provide for the elderly as a vulnerable population In the U S , myriad systems, like special insurances, social programs, and networks of assisted-living facilities nationwide, remain in place But from where do these stipulations, which state programs and entities are to abide by, manifest? With increasing “gray area” regarding laws to protect the elderly, the U.S. passed legislation to solidify rights older individuals are offered/ensured in the private and public sector. This legislation, the "Nursing Home Reform Act of 1987,” has been codified for nearly four decades, outlining rights for elderly individuals and laws to be abided by caretakers, both public & private, and penalties for those who fail to do so This thesis takes a comprehensive look at this legislation, along with implications both present and future, and occasions in which its language has been challenged in the legal arena.

Presenter(s): Kiaran Todd

Sponsoring Department: Public Service & Global Affairs

Stellar Endings, Human Beginnings: The Fate of the Sun and the Future of Civilization

Presentation: 121

Title: Stellar Endings, Human Beginnings: The Fate of the Sun and the Future of Civilization

Abstract: This paper explores how stellar density governs the Sun's life cycle, from its formation to its eventual fate as a red giant and white dwarf. By analyzing the role of mass and energy output in stellar evolution, this study examines how these factors shape the Sun’s transformation and its long-term effects on the solar system. As the Sun nears the end of its life, it will render Earth uninhabitable, forcing humanity to confront an existential challenge. This paper details the astrophysical processes driving these changes and speculates on humanity’s potential responses, including Mars colonization, interstellar travel, or space-based habitation. By blending scientific analysis with a forward-looking narrative, this study highlights both the cosmic inevitability of the Sun’s demise and the resilience of human ingenuity in seeking survival beyond our dying star.

Presenter(s): Braeden Soboleski

Sponsoring Department: Public Service & Global Affairs

Mentor(s): Jeffrey Bloodworth

Truman's Decision to Drop the Atomic Bomb

Presentation: 122

Title: Truman's Decision to Drop the Atomic Bomb

Abstract: This presentation will look into Harry Truman's life and his decision to drop the atomic bomb to end World War II. The presentation will start with Truman's upbringing and examines how he was an exceptional student. It will then continue to detail Truman's life, which at the time did not seem to have any chance to be the life of a future president. Then, as Truman chooses to go into politics, the steps on the way to his presidency will be covered. The presentation will then shift. This shift will be about the Manhattan Project and the personnel who made the atomic bomb possible. The last part that will be covered is the impacts of the atomic bomb being dropped and how this led the world into a new direction.

Presenter(s): Jacob Skolnik

Sponsoring Department: Public Service & Global Affairs

Mentor(s): Jeffrey Bloodworth

The Working-Class Blues: Democrats and the Diploma Divide

Presentation: 123

Title: The Working-Class Blues: Democrats and the Diploma Divide

Abstract: Over the past decade, Democrats have struggled to maintain their support among key demographics. Most notably, their support has faltered among the working class. This voting bloc, which represents more than 4 in 10 Americans, played a decisive role in electing Donald Trump in both the 2016 and 2024 elections. This paper examines the current standing of the Democratic party among working-class voters and other key demographics, and how the Republican Party has swayed voters through their policy stances and rhetoric framed as improving the lives of working Americans. This paper will analyze the evolution of the Democratic Party from a party primarily representing the working class to one that is increasingly reliant on college-educated and urban voters. Finally, the discussion will explore potential strategies for the Democratic Party to rebuild working-class support in future elections.

Presenter(s): Anna Malinowski

Sponsoring Department: Public Service & Global Affairs

Mentor(s): Jeffrey Bloodworth

1:30

Research & Scholarship

Public Service and Global Affairs

1:45

2:00

Research & Scholarship Public Service and Global Affairs

How Chronic Stress Affects the Body Haley Rohrbach

The Catholic Church's Role in Higher Education in America Bailey Kroell

Research & Scholarship Public Service and Global Affairs Nos Corps Se Révoltent: The Feminine Form in 21stCentury New French Extremist Cinema Kae Cohen

2:15

Research & Scholarship Public Service and Global Affairs

The Roots of Division: Tracing the Political Divide in America from the 1950s to the Present Joseph Pfleger

How Chronic Stress Affects the Body

Presentation: 124

Title: How Chronic Stress Affects the Body

Abstract: All people experience stress throughout their lives. Stress can actually be good for you in moderation. However, what happens when we experience stress chronically and what effect does it have on us physically? This can be deciphered by studying how our emotions are connected to the body. This includes our nervous system, immune system, as well as our hormones. Our emotions help us to recognize any threats and how the body should respond. If there is a disconnect between our emotions and our body due to stress, we may start to see the body not functioning properly like a healthy individual would. Examples of this would be multiple sclerosis, irritable bowel syndrome, autoimmune diseases, Crohn’s disease, and even cancer. Stress is not going to be the only factor if a person were to get one of these sicknesses, but it can be a contributing factor. That is why it is important to try to recognize as well as maintain your stress in order to also maintain your health.

Presenter(s): Haley Rohrbach

Sponsoring Department: Public Service & Global Affairs

Mentor(s): Jeffrey Bloodworth

The Catholic Church's Role in Higher Education in America

Presentation: 125

Title: The Catholic Church's Role in Higher Education in America

Abstract: My paper examines the Catholic Church's vital role in higher education in the United States, starting with the Church's core educational principles. In the section "Why Education is Important to Catholics," I discuss the pillars of Catholic education, which emphasize spiritual, moral, and intellectual development, and explore how the Church’s educational efforts are connected to immigrant communities in America, particularly those seeking education despite adversity. I also delve into the influence of John Henry Newman’s "Idea of a University", focusing on his belief in the liberal arts and the integration of theology and philosophy in university education. I then examine the contributions of St. Augustine and Thomas Aquinas to educational thought, specifically their views on the relationship between faith, knowledge, and the human soul. Next, I look at the founding of Georgetown University as the first Catholic university in the U.S., marking the beginning of the Church’s active involvement in American higher education. Finally, I bring the discussion home to Erie, PA, tracing the evolution from Villa Maria Academy to the establishment of Gannon University, demonstrating the lasting legacy of Catholic education in the region.

Presenter(s): Bailey Kroell

Sponsoring Department: Public Service & Global Affairs

Nos Corps Se Révoltent: The Feminine Form in 21stCentury

New French Extremist Cinema

Presentation: 126

Title: Nos Corps Se Révoltent: The Feminine Form in 21stCentury New French Extremist Cinema

Abstract: This paper will discuss the feminine form as a site of violation and liberation within the New French Extremity film movement as it exists in the 21st century. The New French Extremity is a sect of films which display excessive violence and sexuality, often as a form of political or social commentary. To do this, I analyzed five films (Irreversible, Inside, Raw, Anatomy of Hell, and Climax) for different themes tied to violation and/or liberation. My resulting themes were rape/sexual assault and pregnancy related violence for violation, cannibalism and co-opted Otherness for liberation, and drug use for the interplay of violation and liberation. Since these films often involve subjective topics, I also examine the role of the audience in deciding what constitutes liberation and violation, balancing critical reflection and the risk of aestheticizing misogyny and feminine suffering. Through my research, I have concluded that this film movement uses vividly violent and sexual depictions of the feminine form to communicate nuanced and complicated topics regarding violation, liberation, and what it truly means to be feminine, inspiring further critical introspection.

Presenter(s): Kae Cohen

Sponsoring Department: Public Service & Global Affairs

Mentor(s): Jeffrey Bloodworth

The Roots of Division: Tracing the Political Divide in America from the 1950s to the Present

Presentation: 127

Title: The Roots of Division: Tracing the Political Divide in America from the 1950s to the Present

Abstract: Political division in America did not happen overnight. It has been building for decades. This research explores how the divide between liberals and conservatives took shape, starting in the 1950s with Cold War tensions and McCarthyism. It then moves through the Civil Rights Movement, Vietnam War protests, and the rise of modern conservatism in the Reagan era, showing how these moments widened ideological gaps. The research also examines the role of media, from traditional news networks to social media, in fueling polarization. Key events like the Clinton impeachment, the 2000 election crisis, the Iraq War, and the rise of hyper partisan politics during the Obama and Trump years have only made the divide deeper. Today, social media creates echo chambers that reinforce existing beliefs, making compromise even harder. By looking at historical patterns, major political moments, and shifts in public discourse, this research explains how we got here and what this divide means for the future of American democracy.

Presenter(s): Joseph Pfleger

Sponsoring Department: Public Service & Global Affairs

Mentor(s): Jeffrey Bloodworth

Platform Presentation Schedule – Beyer Hall 407

Time Area Discipline

1:30

Research & Scholarship

1:45

Research & Scholarship

Honors Capstone; Physician Assistant Lifestyle Choices to Prevent Infertility Following Diagnosis of Polycystic Ovary Syndrome Sophia Wilson

Honors Capstone; Biology Urban Mushroom Farming: A Sustainable Solution for Food Deserts Ryan Fisher

2:00

Research & Scholarship

2:15

Research & Scholarship

Honors Capstone; Biology Enhancing Neuroplasticity to Reduce the Risk of Neurodegeneration Allison Franz

Honors Capstone; Biology Investigating the Development of Personalized Cancer Treatments Using Vaccines Against Neoantigens Jillian Sullivan

2:30 Research & Scholarship Biology Jared Marchiori

2:45

Research & Scholarship Biology Mariam Alkhafaji

Lifestyle Choices to Prevent Infertility Following Diagnosis of Polycystic Ovary Syndrome

Presentation: 128

Title: Lifestyle Choices to Prevent Infertility Following Diagnosis of Polycystic Ovary Syndrome

Abstract: Polycystic ovary syndrome (PCOS) is a common hormonal disorder that affects 6–13% of women of reproductive age, though many remain undiagnosed. Characterized by hormonal imbalances and metabolic issues, PCOS is often associated with enlarged ovaries containing small cysts. Common symptoms include irregular menstruation, weight gain, and excess hair growth (hirsutism). Early diagnosis allows for timely lifestyle modifications that can help manage symptoms and reduce the risk of future infertility. This discussion will explore the potential causes, risk factors, and symptoms of PCOS, as well as risks related to health complications such as type 2 diabetes and cardiovascular disease. Key diagnostic tools, treatment options, and the role of weight management in symptom control will also be addressed. Raising awareness and providing education about PCOS can help patients address their modifiable risk factors to make informed decisions in order to improve infertility outcomes.

Presenter(s): Sophia Wilson

Sponsoring Department: Honors Program, Physician Assistant

Mentor(s): Brittney Franley, PA, Janna Gonwa

Urban Mushroom Farming: A Sustainable Solution for Food Deserts

Presentation: 129

Title: Urban Mushroom Farming: A Sustainable Solution for Food Deserts

Abstract: According to the Association of American Medical Colleges and USDA, “54 million people are food insecure and 23 5 million live in food deserts The country is now facing the worst levels of food insecurity since the USDA first started measuring this metric in 1995” (Ney, 2022). Food insecurity can be a direct result of the presence of food desertsareas with poverty rates exceeding 20% and limited access to grocery stores selling nutritious foods Erie, PA, is significantly affected by food deserts due to the high poverty rates and scarcity of accessible grocery stores. Urban mushroom cultivation offers a sustainable solution to combat food deserts in Erie Species such as Agaricus bisporus, Pleurotus ostreatus, and Hericium erinaceus provide high nutritional value and can serve as practical substitutes for fruits, vegetables, eggs, fish, and meat Mushroom cultivation is one of the most affordable methods for overcoming food insecurity, as mushrooms can be grown on upcycled waste materials such as coffee grounds, lignocellulose, and sawdust without the need for water and fertilizers Their cultivation also reduces human-generated waste and enhances environmental health. Various cultivation methods, including vertical or horizontal mushroom walls and UV sterilization chambers, make urban mushroom cultivation efficient, requiring minimal space Furthermore, as a historically industrialized city, Erie has numerous abandoned industrial sites that can be repurposed for mushroom farming. Converting these spaces into mushroom farms would not only help address food deserts but also improve the soil health in these neglected sites.

Presenter(s): Ryan Fisher

Sponsoring Department: Honors Program, Biology

Mentor(s): Matt Gacura, Janna Gonwa

Enhancing Neuroplasticity to Reduce the Risk of Neurodegeneration

Presentation: 130

Title: Enhancing Neuroplasticity to Reduce the Risk of Neurodegeneration

Abstract: Millions of people worldwide are affected by neurodegenerative diseases, such as Alzheimer's, Parkinson’s and multiple sclerosis. These progressive diseases impair motor and cognitive functioning. As there is no cure for neurodegeneration, research suggests that enhancing the effects of neuroplasticity – the brain’s ability to rewire itself and adapt – may slow down the progression of the disease or even lessen its effects. Making lifestyle changes and prioritizing health can preserve neural functioning and improve the brain’s neuroplastic effects. Eating a diet rich in omega-3s and antioxidants supports neuron repair while regular aerobic exercise strengthens neural pathways and increases blood flow to the brain. Participating in mentally stimulating activities, life-long learning or staying socially active is important for maintaining the brain’s communication and higher-level thinking regions. Sleep is also critical for keeping the brain healthy as it is when toxins related to Alzheimer’s disease are flushed out and is when most memory consolidation occurs. Combining and implementing these strategies may promote neuroplasticity and potentially reduce neurodegenerative effects.

Presenter(s): Allison Franz

Sponsoring Department: Honors Program, Biology

Robyn Gaier

ERIE GRADUATE ENGAGEMENT

Presentation: 131

Title: Real-time Cryptographic Messaging System

Abstract: In today’s world, people rely on messaging apps to communicate instantly. However, security and privacy remain a big concern Many messaging platforms are vulnerable to hacking, surveillance, and data breaches, making it risky for users to share private information. This project introduces a Real-time Cryptographic Messaging System, which ensures fast, secure, and private communication using advanced encryption techniques Our system follows a clientserver model, where messages are protected using end-to-end encryption (E2EE). We use AES-256 encryption to secure messages and RSA-4096 or ECC for safe key exchange This means only the intended recipient can read the messages To ensure that messages are not altered, we use SHA-256 hashing for data integrity. The system also supports real-time messaging by using WebSockets, which allows messages to be delivered instantly without delay For storing encrypted messages, we use MongoDB, a flexible and scalable database designed for high-speed data handling. The system is built with a user-friendly interface using React js, making it easy for users to send and receive secure messages without complications. Unlike traditional messaging apps that often compromise speed for security, our system balances real-time performance, encryption, and scalability, ensuring fast, safe, and reliable communication This project highlights the growing need for secure real-time messaging in a world where online privacy is constantly threatened. By combining encryption, instant message delivery, and secure storage, our system provides a fast, private, and efficient communication solution for anyone who values both speed and security.

Presenter(s): Kavya Sri Punna, Anurag Gulisetty

Sponsoring Department: Computer and Information Science

Mentor(s): John Coffman

Presentation: 132

Title: Human-Like Chatbot for Social Engineering Awareness Training

Abstract: This project offers social engineering awareness training based on natural language processing with a human-like chatbot. The chatbot will mimic phishing, pretexting, and baiting with adaptive learning and natural language processing. Its interactive courses will give instant feedback for better cyber threat detection and response. The chatbot offers accessibility and scalability with corporate IT platform integrations. A built-in analytics dashboard tracks user interaction and vulnerability and assists corporations with better cybersecurity. The modular design of the chatbot offers incremental improvement with the capability to evolve with new cyber threats. Testing will evaluate functionality, user interaction, and organizational infrastructure compatibility. The chatbot will revolutionize the way cybersecurity education is delivered with dynamic, scenario-based training for better security awareness and reduced errors. This approach could revolutionize the face of cybersecurity training and make corporations social engineering-proof.

Presenter(s): Kalyan Kumar Konda, Baji Narra

Sponsoring Department: Computer and Information Science

Mentor(s): Samuel Tweneboah-Koduah

Presentation:

133

Title: Systematic Literature Review of Automation of Malware Detection using Wazuh Log Analysis

Abstract: Malware detection remains a critical challenge in cybersecurity, requiring advanced automation techniques to enhance accuracy and efficiency. This study explores the effectiveness of Wazuh’s automated log analysis for malware detection compared to traditional methods. By leveraging Wazuh’s Security Information and Event Management (SIEM) capabilities, intrusion detection system (IDS) functionalities, and threat intelligence features, this research reviews existing literature to assess its real-time detection efficacy and performance. The study also identifies key challenges in using Wazuh for malware detection, including false positives, rule-based limitations, and log parsing complexities. Furthermore, it investigates optimization strategies to improve detection accuracy, reduce false positives, and enhance security event correlation.

Presenter(s): Kiriti Gottapu, Vishnu Sri Pendhurthi

Sponsoring Department: Cybersecurity

Mentor(s): Richard Matovu

Presentation: 134

Title: Strengthening OpenEMR: A Security and HIPAA Compliance Risk Assessment

Abstract: This project evaluates OpenEMR security and HIPAA compliance, identifying vulnerabilities and gaps. It provides actionable insights to strengthen Opener's security posture and ensure regulatory alignment, enhancing reliability and protection against cyber threats.

Presenter(s): Srija Gaddam, Rahul Kakumani

Sponsoring Department: Cybersecurity

Mentor(s): Richard Matovu

ERIE GRADUATE RESEARCH AND SCHOLARSHIP

Presentation: 135

Title: Effects of Polystyrene Microparticles on the Mobility of Nematode Caenorhabditis Elegans

Abstract: Microparticles and nanoparticles are used in countless businesses and industries. Whether it is therapeutic, industrial, medical, or cosmetic, over time, microscopic particulate residue inevitably gets released into the soil and water. Eventually, these particles are consumed by humans and other animals, as the soil that contains these pollutants is the soil that grows the vegetation that is often eaten by the animals we eat, and those same particles are in the water that hydrates both the vegetation and the animals we consume. Thus, we are presented with an ecotoxicological risk. Multiple studies have discovered the toxic effects of gold and silicon nanoparticles on the model species of nematode Caenorhabditis elegans. However, the effect of lower-density organic polystyrene on C. elegans remains unclear. This study’s goal is to assess the toxicological effects of 3micrometer diameter polystyrene microspheres on biological systems. After cultivation, the C. elegans are introduced to an environment saturated with polystyrene microparticles. Their mobility behavior before and after their introduction to their polystyrene microparticle environment is examined, and any disparity in behavior will show how they are affected toxicologically after consumption. This study provides us with information on the effects of polystyrene microparticles on C. elegans, which will provide further insight into how these microparticles and nanoparticles may toxically affect humans and other animals alike.

Presenter(s): Anthony Sinito, Sahib Dhillon

Sponsoring Department: Biology

Mentor(s): He Liu, Prasad Dalvi, Liu Cao

Presentation: 136

Title: Preparing Gold Nanoparticles for Ion Detection

Abstract: Gold nanoparticles (AuNPs) have been widely used in biosensing, due to their unique surface plasmon resonance feature. In this project, the goal was to prepare AuNPs by a known process named the Turkevich method. Briefly, Au+ ions were reduced to prepare AuNPs in a sodium citrate solution. The absorption of the AuNPs will be characterized by UV-Vis spectrometer to determine the particle sizes. The AuNPs will then be used to sense the potassium phosphate ions by visualizing the color change of the solution and absorption spectra changes.

Presenter(s): Sarah Thomas, Angelina Hargate, Thomaz Ahualli de Sanctis

Sponsoring Department: Bio-Medical Engineering

Mentor(s): Longyan Chen

Presentation: 137

Title: Development of a VR Application for Industrial Equipment Simulation & Ergonomic Analysis

Abstract: The integration of Virtual Reality (VR) and motion tracking technology has opened new avenues for analyzing human motion and ergonomics in various fields, including healthcare and industrial applications. This project aims to develop a VR environment featuring two tables of different heights and two boxes of varying weights and sizes to simulate real-world object manipulation tasks. Participants will be asked to perform two key actions: (1) lifting a box and placing it on another table, and (2) sliding a box across the table’s surface. A motion tracking system will be employed to collect detailed movement data, enabling an in-depth analysis of human biomechanics, task efficiency, and ergonomic factors. The goal is to study human motion, efficiency, and comfort while performing these tasks. The results can help improve workplace safety, rehabilitation methods, and training programs in healthcare and industrial settings. This research highlights the potential of VR-based studies to make tasks safer and more efficient.

Presenter(s): Saqlain Mohammad, Suraj

Gariga

Sponsoring Department: Bio-Medical Engineering

Mentor(s): Ji Xiaoxu

Presentation: 138

Title: ARP Poisoning: Detection, Analysis and Mitigation

Abstract: Address Resolution Protocol (ARP) Poisoning, also called ARP Spoofing, is a serious cybersecurity threat that takes advantage of weaknesses in the ARP protocol. Since ARP has no way to verify identities, attackers can send fake ARP messages to trick devices into linking an incorrect MAC address to an IP address. This allows hackers to intercept, modify, or block network traffic, leading to attacks like Man-in-the-Middle (MiTM), data theft, session hijacking, and Denial-of-Service (DoS). This project demonstrates ARP Poisoning using Kali Linux, Ettercap, and Wireshark in a safe testing environment. Attackers can capture login details, spy on unencrypted traffic, and alter communications using simple tools. The experiment shows how easily someone with little experience can perform this attack. The project also discusses ways to detect and prevent ARP Poisoning. Detection methods include checking ARP tables for unusual entries, monitoring network traffic, and using security tools like Snort and Arp watch. Prevention techniques include using static ARP entries, enabling Dynamic ARP Inspection (DAI), network segmentation, and encrypting traffic with HTTPS or VPNs. Understanding ARP Poisoning and its defenses is crucial for protecting sensitive data. This project highlights the need for strong security measures to prevent cyberattacks and keep networks safe.

Presenter(s):

Sirisha Dobbala, Poorna Chandra Reddy Adudotla

Sponsoring Department: Computer & Information Science

Presentation: 139

Title: Meal Plan Generation By Using AI

Abstract: The Meal Plan Generator project uses artificial intelligence to make meal planning easier and more customized. Based on each person's nutritional needs, preferences, allergies, and fitness objectives, it generates personalized meal plans. The technology saves time and lessens choice fatigue by suggesting simple, nutrient-balanced meals using machine learning algorithms. It improves general wellbeing, promotes healthier eating habits, and assists users in maintaining a balanced diet. Adaptive recipes, real-time nutritional tracking, and interaction with supermarket delivery systems are possible future enhancements. The difficulties of meal preparation in today's hectic lifestyle are addressed by this AI-driven method.

Presenter(s): Sagarika Arabaka, Nikitha Dasariraju

Sponsoring Department: Computer & Information Science

Mentor(s): Kefei Wang, Sagarika Arabaka, Nikitha Dasariraju

Presentation: 140

Title: Packet Sniffing for Secure API Gateway Monitoring in Micro- services Architecture

Abstract: Microservices architectures offer scalability and modularity but introduce complex API security risks. Traditional monitoring tools lack visibility into encrypted API traffic, leaving services vulnerable to data breaches and abuse. Our project solves this by implementing real-time packet sniffing and anomaly detection at the API Gateway level, enabling proactive detection of threats while preserving performance and privacy.

Presenter(s): Tanuja Polavarapu, Santhosh Reddy Miriyala

Sponsoring Department: Computer & Information Science

Mentor(s): Ronny Bazan-Antequera

Presentation: 141

Title: Predictive Maintenance for Industrial Equipment Using Sensor Data and Machine Learning Models on AWS SageMaker

Abstract: Predictive maintenance (PdM) is a proactive approach that leverages machine learning (ML) techniques to predict potential equipment failures before they occur. This study evaluates and compares multiple ML models, including Random Forest, Logistic Regression, Support Vector Machine, Gradient Boosting, K-Nearest Neighbors (KNN), Decision Tree, and XGBoost for PdM. Hyperparameter tuning was applied to optimize performance, and the Synthetic Minority Oversampling Technique (SMOTE) was used to address class imbalance. Among individual models, KNN achieved the highest accuracy (98.34%) and F1score (0.9834).However, an ensemble model that combines multiple classifiers outperformed all, achieving an accuracy of 98.50% and an F1-score of 0.9852.The results highlight ensemble learning as the most effective approach for predictive maintenance applications.

Presenter(s): Lalitha Shreya Challa, Lourdu Sreya Reddy Gade

Sponsoring Department: Computer & Information Science

Mentor(s): Ronny Bazan-Antequera

Presentation: 142

Title: Detecting Fraudulent Posts Using NLP and Machine Learning

Abstract: The rise of social media has led to increased fraudulent activities, including misinformation and scams. Detecting such posts requires Natural Language Processing (NLP) and Machine Learning (ML) techniques. This study proposes a systematic approach using textual data analysis and classification algorithms. Data is collected from public datasets, web scraping, and manual annotation, followed by preprocessing steps like tokenization, stopword removal, lemmatization, and vectorization (TF-IDF, word embeddings). Feature extraction includes sentiment analysis, readability scores, and metadata attributes. Various ML models, including Logistic Regression, SVM, and Random Forest, are trained and evaluated using accuracy, precision, recall, and F1-score. Deep learning models like LSTMs and BERT are also explored. A comparative analysis identifies the best-performing model, which is integrated into a Streamlit web app for realtime fraud detection. Future work aims to improve dataset diversity, model interpretability, and mobile deployment for enhanced accessibility.

Presenter(s): Krishna Teja Vemula, Vinay kumar reddy Kusam

Sponsoring Department: Computer & Information Science

Mentor(s): Jeremy Cannell

Presentation: 143

Title: Implementation of Secured Cloud Based File Storage System with a Focus on Cybersecurity

Abstract: With the increasing reliance on cloud storage, security concerns such as unauthorized access and data breaches have become critical. This project aims to develop a secure cloud-based file storage system using AWS, Microsoft Azure, or Google Cloud, focusing on encryption, authentication, and role-based access control (RBAC). Python is chosen for backend development, with Django for UI and databases like Amazon RDS or MongoDB Atlas. Security measures include encryption via OpenSSL or PyCryptodome, authentication with OAuth 2.0, JWT, and MFA, and monitoring via CloudWatch and Azure Security Center. The implementation roadmap includes UI design, backend development, cloud setup, encryption, RBAC, and security integration. This project enhances cloud storage security by integrating industry-standard practices, ensuring data confidentiality and integrity.

Presenter(s): Sriharsha Mandaloju, Shiva Sai

Gnanesh Namani

Sponsoring Department: Computer & Information Science

Mentor(s): Jeremy Cannell

Presentation: 144

Title: Weather Prediction Dashboard with Historical Data

Abstract: This project aims to develop an interactive Weather Prediction Dashboard that visualizes 30 years of historical weather data using D3.js and implements machine learning models for forecasting temperature trends. The dashboard will serve as an educational tool for students in data visualization and machine learning courses, providing insights into climate patterns through interactive visual representations. Historical weather data will be collected from free sources like NOAA and NASA, preprocessed for analysis, and utilized in a Long Short-Term Memory (LSTM) model using TensorFlow.js to predict future weather trends. The project will focus on temperature and precipitation analysis, allowing users to explore historical patterns and gain an understanding of climate variability. The final dashboard will be a web-based interactive platform, running on Gannon Virtual Machines, offering accessible, data-driven insights for students, researchers, and educators. The success of the project will be evaluated based on prediction accuracy and usability.

Presenter(s): Amit Sinha

Sponsoring Department: Computer & Information Science

Mentor(s): Jeremy Cannell

Presentation: 145

Title: Cloud Security in Focus: Challenges and Solutions for Penetration Testing in AWS

Abstract: With increasing numbers of services being extended on cloud-based platforms, including AWS, security on cloud services has emerged as a vital concern This paper outlines the challenges and solutions while conducting penetration testing in the AWS environment Misconfigurations, Identity and Access Management flaws, and insecure APIs are various security vulnerabilities identified during the study as reported by previous research papers It will involve the use of AWS instances for controlled penetrations using industry-standard tools such as Metasploit, Kali Linux, and AWS Inspector Various testing methodologies, including black-box, gray-box, and white-box testing, are considered in order to find the most effective methodology for finding security vulnerabilities Reference papers provide insight into AI-driven security measures, proactive defense mechanisms, and risk assessment frameworks that enhance penetration testing methodologies In fact, it states that the best percentage increases for detection and mitigation of vulnerabilities in security testing come with automated security testing complemented with AI-based anomaly detection The paper further indicates a need to observe best practices in cloud security, including implementation of Zero Trust Architecture and continuous monitoring solutions Issues on shared responsibility models and their accompanying ethical concerns in regards to penetration testing were discussed and indicate a well-settled requirement for security policy It ultimately points toward structured penetration testing on AWS for security assessment of AWS; therefore, work should be focused on integration of AI with machine learning models for real-time threat detection and automation for remediation The following suggestions are of good use in developing an actionable approach toward a safer AWS cloud for an organization

Presenter(s): Ramesh Babu Vankara, Nikhileshwar Kalyanam

Sponsoring Department: Computer & Information Science

Mentor(s): John Coffman

Presentation:

146

Title: Software Engineering Assistant

Abstract: Modern software development faces challenges in requirement specifications, design, code generation, and test case automation. This project proposes the Software Engineering Assistant, an AIpowered tool designed to enhance developer productivity and ensure high-quality, maintainable software from the start. This project aims to find the most suitable AI tools for the software development life cycle including requirements specification, design, code generation, and test automation. Through extensive research on AI development platforms including ChatGPT, Claude, Bolt.new, v0.dev, Lovable.dev, a0.dev, AWS Q Developer, Grok, DeepSeek and many more, the most appropriate tools will be identified and an web app will be developed to facilitate the utilization of such AI tools to support the software development lifecycle. Some preliminary findings of AI tools that may be leveraged for code generation include ChatGPT, Claude, AWS Q Developer, and DeepSeek. By integrating AI-driven automation into the software development workflow, this project aims to reduce errors, enhance efficiency, and minimize development costs. The findings will serve as a valuable guide for developers seeking AI-assisted solutions to improve software engineering processes.

Presenter(s): Davaakhatan Zorigtbaatar

Sponsoring Department: Computer & Information Science

Presentation: 147

Title: Hybrid ARIMA-LSTM Anomaly Detection Model for IoT Networks

Abstract: Anomaly detection in Internet of Things (IoT) networks is crucial for ensuring system security and reliable operation. As IoT networks grow more complex, detecting irregularities in real-time becomes increasingly challenging. This project addresses the need for an effective solution by introducing a hybrid ARIMA-LSTM model for anomaly detection in IoT time series data. The approach combines two powerful techniques: ARIMA (Auto Regressive Integrated Moving Average), which is excellent at identifying linear patterns in data, and LSTM (Long Short-Term Memory) networks, which are adept at capturing non-linear relationships and subtle anomalies. The ARIMA model first processes the data to detect linear trends and generates residuals. These residuals are then passed to the LSTM network, which focuses on the non-linear anomalies that might not be captured by ARIMA alone. This fusion allows the model to leverage the strengths of both methods. Experimental results on benchmark IoT datasets demonstrate that the hybrid ARIMA-LSTM model outperforms standalone ARIMA and LSTM models, particularly in precision, recall, and F1-score, making it more reliable for real-time anomaly detection. This model not only enhances detection accuracy but also minimizes false positives, providing a more effective solution for dynamic IoT environments. Overall, the hybrid approach proves to be scalable, adaptable, and efficient, making it a promising tool for real-time anomaly detection and improving the security and reliability of IoT systems.

Presenter(s

Likhitha Medisetti, Megana Talloju

Sponsoring Department: Computer & Information Science

Mentor(s): Jizhou Tong

Presentation: 148

Title: Retrieval-Based Q&A App for Knowledge base using LLM

Abstract: This Question-Answering (QA) system leverages a modified Large Language Model (LLM) with Retrieval-Augmented Generation (RAG) to enhance accuracy, minimize hallucinations, and provide contextaware responses. Unlike traditional models, it dynamically retrieves relevant information from external sources before generating answers. The system integrates LangChain for document processing, FAISS for efficient vector-based retrieval, and Streamlit for an interactive chatbot interface. By combining retrieval and generation, it ensures scalability, adaptability, and reliability, making it ideal for knowledge management, research, and customer support while improving conversational AI with accurate, real-time information.

Presenter(s):

Swetha Thotakuri, Abhilash Vadlamoodi

Sponsoring Department: Computer & Information Science

Mentor(s): Jizhou Tong

Presentation:

149

Title: AI-Based Resume Screening System

Abstract: The recruitment industry faces challenges in handling large volumes of applications, making traditional resume screening inefficient and prone to human error. This project introduces an AI-driven solution that integrates ChatGPT, Gemini, and Bing AI to automate and enhance the resume screening process. By leveraging multi-AI analysis, the system assigns a relevance score (1-10) and provides detailed insights to recruiters. Key features include multi-AI integration for robust evaluation, an interactive dashboard for easy decision-making, and customizable criteria for tailored candidate assessments. The system allows recruiters to upload resumes in various formats, generating a comparative analysis of AI-generated scores.

Presenter(s): Sangana Sai Kishore Reddy, Sumanth Mamidala

Sponsoring Department: Computer & Information Science

Mentor(s): Kefei Wang

Presentation: 150

Title: AI-Based Intrusion Detection & Prevention Models for Smart Home IoT Systems: A Literature Review

Abstract: The proliferation of Smart Home Internet of Things (IoT) devices has revolutionized modern living, enhancing automation, convenience, and security However, these advancements have also introduced significant cybersecurity risks, including unauthorized access, malware attacks, and data breaches Traditional security measures such as firewalls and signature-based intrusion detection systems (IDS) often fail to address the evolving nature of cyber threats in resource-constrained IoT environments. This study presents a systematic literature review (SLR) of AI-based intrusion detection and prevention models for smart home IoT systems Using machine learning (ML) and deep learning (DL) techniques, AI-powered models improve threat detection through anomaly-based, signature-based, and hybrid detection approaches. The study identifies key challenges, including high false positive rates, computational resource limitations, and zero-day attack detection difficulties. By adopting PRISMA methodology, the research synthesizes existing studies to evaluate AI-driven security frameworks, their integration with smart home networks, and potential enhancements The findings highlight the need for adaptive, scalable, and efficient AI security mechanisms to mitigate cyber risks. Future research should focus on reducing false positives, optimizing AI models for low-power IoT devices, and improving real-time detection. This study contributes to advancing AI-based cybersecurity solutions for enhanced smart home security and resilience

Presenter(s

)

: Asha Chandi, Jayveersinh Vansiya

Computer & Information Science

Presentation: 151

Title: AI-Driven Cybersecurity in Autonomous Vehicles: Ensuring Safe Communication and Data Integrity

Abstract: Autonomous vehicles (AVs) rely on interconnected networks, exposing them to cybersecurity threats like spoofing, data breaches, and system manipulation. Traditional security methods fall short in mitigating these risks, prompting the need for advanced solutions. This study examines how artificial intelligence (AI) enhances AV cybersecurity through real-time threat detection, anomaly identification, and adaptive responses. AI-driven frameworks provide proactive defenses to strengthen AV network security and ensure data integrity. Additionally, the research addresses key challenges, including adversarial attacks, computational efficiency, and regulatory concerns, highlighting AI’s critical role in securing AV ecosystems.

Presenter(s): Anjireddy Nandikonda, Rupsagar Bhukya

Sponsoring Department: Computer & Information Science

Mentor(s): Rashid Khan

Presentation: 152

Title: Evaluating AI Models in EHR in Healthcare Sector: A Systematic Review with a Proposed Futuristic Model

Abstract: Context: The rapid adoption of Electronic Health Records (EHRs) brings both improved patient care and heightened cybersecurity challenges. Aim: This study reviews current AI models used for EHR security and proposes a novel hybrid framework integrating Federated Learning (FL), Explainable AI (XAI), and blockchainbased logging. Key Findings: Advanced AI methods (RNN/LSTM, SVM, RF, FL, XAI) excel at real-time threat detection and preserving data privacy. Model interpretability (via XAI) significantly boosts clinician trust. Our proposed model addresses privacy, interpretability, and workflow integration, potentially reducing breaches and improving patient outcomes.

Presenter(s): Arpit Christian, Sadia Afrin

Sponsoring Department: Computer & Information Science

Mentor(s): Rashid Khan

Presentation:

153

Title: AI-Driven Freelance Marketplace Bidding System

Abstract: Digitalization has transformed freelance marketplaces, increasing the need for fast and efficient contractor-client matching services. However, current platforms lack advanced AI capabilities for bid optimization, intelligent recommendations, and secure bidding models. This study proposes an AI-Driven Freelance Marketplace Bidding System using Python Flask, Mistral AI, HTML, CSS, JavaScript, and Tailwind to enhance the bidding process. The system integrates AI-driven bid enhancement, analytics, and a private recommendation system to help clients select the best freelancers. A smart negotiation chatbot enables realtime interaction between clients and service providers, making the process more seamless. To ensure financial security, escrow and milestone payment methods are included. Additionally, real-time error handling and automated proposal generation improve efficiency. The platform categorizes users into clients, freelancers, and administrators, ensuring fair competition. Unlike traditional bidding systems, it uses adaptive pricing models and data-driven decision-making to provide a transparent and efficient marketplace. This research presents an innovative and scalable approach to integrating AI for intelligent recommendations, negotiation assistance, and real-time bid tracking, enhancing trust, efficiency, and security in freelance markets.

Presenter(s): Rajesh Palaparthi, Alekya Varla

Sponsoring Department: Computer & Information Science

Mentor(s): Yunkai Liu

Presentation: 154

Title: Deep Learning Applications in Cybersecurity: Real-Time Threat Detection and Response

Abstract: Cybersecurity threats are becoming increasingly sophisticated, posing serious challenges to traditional detection systems that often lack the speed and intelligence needed for real-time response. To address this, we propose a hybrid deep learning model that combines Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) to enhance threat detection accuracy and efficiency. CNNs are employed to extract spatial features from network traffic, while RNNs capture temporal patterns, enabling the model to understand both structure and sequence in data flows. Trained on a publicly available dataset of over 100,000 network samples, the model achieved a detection accuracy of 95%and an average response time of just 0.35 seconds significantly outperforming traditional and single-model approaches. This integration of deep learning techniques demonstrates strong potential for practical, real-time cybersecurity applications. By bridging the gap between academic research and real-world deployment, this study offers a scalable and adaptive solution for modern digital threat detection systems.

Presenter(s):

A K M NURUZZAMAN

Sponsoring Department: Computer & Information Science

Mentor(s): Yunkai Liu

Presentation: 155

Title: Skill Gap Prediction And Career Path Optimization Using Machine Learning

Abstract: The rapid digital transformation has significantly impacted job markets across industries. Many professionals struggle to align their current skills with industry expectations, resulting in challenges in job placement and career advancement. Traditional career guidance methods often rely on static job descriptions and personal assessments, which fail to dynamically adapt to changing workforce demands. This project presents an AI-driven job role prediction and skill gap analysis system that helps individuals understand their career prospects based on their skill set. By leveraging machine learning models, real-world job market data, and skill mapping techniques, we provide personalized career recommendations that bridge the gap between industry demands and individual capabilities.

Presenter(s): Gopi Nadh Reddy Tatiparti, Sathvik Goud Vutkuri

Sponsoring Department: Computer & Information Science

Mentor(s): Sheheeda Mariam Manakkadu

Presentation: 156

Title: Stress Detection Through Heart Rate Variability and live Facial Expression Analysis

Abstract: The project, Stress Detection Through Heart Rate Variability and Live Facial Expression Analysis, aims to develop a realtime, automated system for stress detection in IT professionals. Unlike traditional methods that rely on self-reported surveys, this system uses machine learning and image processing to analyze physiological and behavioral indicators such as heart rate variability (HRV), electrocardiogram (ECG), galvanic skin response (GSR), and facial expressions . The system provides continuous, noninvasive stress monitoring and offers personalized stress management recommendations, improving overall workplace wellbeing. The project integrates machine learning algorithms, including Support Vector Machine (SVM), Gradient Boosting, and Convolutional Neural Networks (CNN), to enhance detection accuracy. The system's goal is to reduce workplace stress, promote employee health, and improve productivity.

Presenter(s): Sai Charan Reddy Maddhula, Venkata Gayathri Dama

Sponsoring Department: Computer & Information Science

Mentor(s): Sheheeda Mariam Manakkadu

Presentation: 157

Title: Amazon Rating Prediction from Review using Machine Learning

Abstract: With the rise of e-commerce, customer reviews play a crucial role in purchasing decisions, with 70% of shoppers using rating filters to refine their choices. This study aims to predict star ratings from written reviews using machine learning techniques. Utilizing Amazon.com’s dataset, we conduct a comparative sentiment analysis on product reviews, incorporating opinion mining, text processing, and classification algorithms. Our methodology involves data cleaning, feature extraction, and vectorization, followed by training classifiers using Linear SVC and other models. Through graphical representation and statistical analysis, we examine patterns in ratings, product categories, and verified purchases. The results highlight how textual sentiment correlates with numerical ratings, offeri55ng valuable insights for businesses like Amazon, Google, and Yelp to enhance review-based recommendations. This research contributes to the evolving field of natural language processing and sentiment analysis, showcasing its impact on customer decision-making and product visibility.

Presenter(s): Ahmed

Irfan Mohammed, Anoop Vamsi Meduri

Sponsoring Department: Computer & Information Science

Mentor(s): Sheheeda Mariam Manakkadu

Presentation: 158

Title: Interactive Currency Exchange Rate Forecasting Dashboard with Predictive Analytics and Anomaly Detection Using Machine Learning

Abstract: This project is about creating an interactive dashboard that helps users explore currency exchange rates. By using data from the Reserve Bank of India, the dashboard lets users track how exchange rates have changed over time. The fun part is that it doesn’t just show data – it uses Machine Learning to predict future exchange rates for the next 30 days or even a year! Plus, it can highlight unusual changes in the rates, like sudden jumps or drops, which are really helpful to spot outliers. Users can select any currency, choose different time ranges, and see trends on easy-to-understand charts. The system also compare multiple currencies at once. Whether you're a student, professor, or just someone interested in currency exchange, this tool helps you dive deep into exchange rate data and even get predictions for the future. The goal is to make understanding FOREX trends easy and interactive.

Presenter(s): Anudeep Addagada, Ramya Kamma

Sponsoring Department: Computer & Information Science

Mentor(s): Sheheeda Mariam Manakkadu

Presentation: 159

Title: AspireLink: Integrated Solution for Career Guidance, Academic Scholarships and Competitions

Abstract: This website is mainly designed to streamline career planning for students by offering mentorship, scholarships, internships, and job listings in one place. Utilizing AI-driven recommendations, it helps students explore career paths and connect with mentors and opportunities. The platform is built with Angular for the front end, Spring Boot for the backend, and MySQL for database management, ensuring a seamless experience. Hosted on AWS ECS Fargate, AspireLink provides AI-powered career guidance, real-time application tracking, and role-specific mentorship. Its goal is to offer clear, verified career insights and expert support. Future developments include expanding the mentor network, introducing skill-based assessments, and launching a community forum for peer engagement, further enhancing student career growth and networking opportunities.

Presenter(s): Rahul Goud Thupakula, Bhargavi Gora

Sponsoring Department: Computer & Information Science

Mentor(s): Richard Matovu

Presentation: 160

Title: Comparative Analysis of Machine Learning Models for Sales Forecasting Products

Abstract: Sales forecasting is essential for retail success, yet predicting future sales is challenging due to complex consumer behavior and market dynamics. In this project, we are developing and comparing multiple machine learning models LSTM, ARIMA, SARIMA, GRU, XGBoost, and Random Forest using historical sales data, inventory levels, pricing, discounts, and competitor pricing. By cleaning and normalizing the data, converting it into time-series sequences, and using time-series cross-validation, we aim to reduce forecast errors. Early results show that combining insights from different models can improve forecast accuracy, enabling better decision-making in the retail sector.

Presenter(s): Patel Daminiben, Abu Saleh

Sponsoring Department: Computer & Information Science

Mentor(s): Richard Matovu

Presentation: 161

Title: AI-Powered Home Services

Abstract: AI-Powered Home Services is an innovative platform that streamlines home service management with AI-driven assistance. It features an AI-powered DIY assistant to help users troubleshoot minor issues before booking professionals. Users can explore services, book providers, and communicate seamlessly within a single interface.Service providers benefit from structured booking management, feedback tracking, and quality improvement, while admins oversee operations, approvals, and users. Visitors can browse services, read reviews, and register as users or providers. The platform addresses inefficiencies like unreliable providers, limited choices, and complex bookings through AI guidance, a user-friendly interface, and secure payments.Built with React (frontend) and Node.js/MongoDB (backend), the project follows an Agile approach from requirement analysis to deployment. Success is measured by user engagement, feedback, and increased bookings. By integrating AI with convenience, AI-Powered Home Services enhances efficiency, reduces costs, and transforms home service management.

Presenter(s): Avi Mangukiya, Venkata Raman Kalmodi Ambala

Sponsoring Department: Computer and Information Science

Mentor(s): Mei-Huei Tang

Presentation: 162

Title: A Comparative study on Large Language Model (LLM) Performance in Network Optimization Tasks

Abstract: Network optimization is crucial for ensuring efficient data transmission, resource utilization, and overall network performance. However, as modern networks grow in complexity spanning telecommunications, cloud computing, and IoT traditional optimization techniques struggle to scale effectively. Rule-based and conventional machine learning models often fall short in handling massive data volumes and unpredictable traffic patterns, leading to inefficiencies and performance bottlenecks. This research explores the potential of Large Language Models (LLMs), such Gemini, DeepSeek to enhance network optimization. By leveraging their advanced contextual understanding and adaptability, we investigate their ability to predict network demand, dynamically allocate resources, and optimize data flow in real-time. Our study evaluates the effectiveness of LLM-driven network optimization through key performance metrics, including Accuracy, False Positive rate, Inference Speed. The goal is to determine whether LLMs can outperform traditional approaches in adaptive and proactive network management. By integrating LLMs into network optimization strategies, this research aims to address the limitations of conventional methods, paving the way for more intelligent, scalable, and automated solutions. The findings could have significant implications for industries reliant on highperformance networks, offering a novel approach to managing complex network infrastructures efficiently.

Presenter(s): Harshavardhan Bollagani, Ravindra Reddy Boggula

Computer

and Information Science

Presentation: 163

Title: A Web Interface to detect Malicious URLs Using Large Language Models

Abstract: Malicious URLs serve as a primary attack vector for cybercriminals, facilitating phishing, ransomware distribution, and other fraudulent activities. When unsuspecting users click these links, they risk exposing sensitive information or compromising enterprise security. Despite ongoing efforts to mitigate such threats, organizations struggle to keep pace with the sheer volume of URLs generated daily and the evolving tactics of cybercriminals, such as URL cloaking and hopping. This project proposes a web-based application that utilizes a Large Language Model (LLM) to analyze URLs and determine their potential risk. By leveraging AI-driven techniques, the system provides a scalable and dynamic approach to identifying malicious links with higher accuracy. The tool aims to enhance cybersecurity defenses by offering real-time URL analysis, equipping users and organizations with an intelligent safeguard against phishing and malware attacks.

Presenter(s

Akshay Raju Manikyam, S M Tanjim Hossian

Sponsoring Department: Computer and Information Science

Mentor(s): Joshua C Nwokeji

Presentation: 164

Title: Evaluating the Effectiveness of Email Headers and Body Content in Phishing Detection Using Large Language Models and Prompt Engineering

Abstract: Phishing emails deceive people into sharing sensitive information, leading to security risks. Traditional detection methods, like rule-based filters and machine learning, often fail against advanced phishing techniques. This study explores how Large Language Models (LLMs) and prompt engineering improve phishing detection by analyzing email headers, body content, and both together. By comparing these components, the study identifies the most effective phishing indicators. The goal is to enhance anti-phishing tools, strengthen cybersecurity, and reduce risks for users and organizations. Better phishing detection with LLMs can improve email security and protect sensitive information.

Presenter(s): Manikanth Reddy Vangati, Anji Reddy Abbireddy

Sponsoring Department: Computer and Information Science

Mentor(s): Joshua C Nwokeji

Presentation: 165

Title: Evaluating Encoder and Decoder-based LLMs for Adversarial Malicious URL Detection

Abstract: This work aims at assessing the performance of different large language models (LLMs) in identifying malicious URLs. An adversarial malicious URL is a specially crafted URL designed to bypass security mechanisms. The research examines the effectiveness of GPT-3.5 Turbo, Deep Seek, Llama, and Google Gemini using prompt-based classification. The dataset, sourced from Kaggle’s Malicious URLs Dataset, undergoes preprocessing to enhance data quality before prompt creation. Prompt engineering techniques, including few-shot and chain of thoughts prompting, are applied to assess model performance. The effectiveness of each model is evaluated using standard performance metrics, including accuracy, precision, recall, and F1-score. The study aims at how deep LLMs’ performance can be utilized in real-world security situations and offers guidance on LLMs’ improvement in the task of cybersecurity threat detection.

Presenter(s):

Rakesh Reddy Kuruguntla, Saiteja Racha

Sponsoring Department: Computer and Information Science

Mentor(s): Joshua C Nwokeji

Presentation: 166

Title: Blockchain-Based Secure Data Sharing for Cybersecurity

Abstract: The exponential increase in digital data sharing has led to a tise in cybersecurity threats, including unauthorized socess, data breaches, and information manipulation. Traditional ontralized data-sharing methods remain vulnerable to cyberattacks. This research exploses blockchain technology as a decentralized solution to enhance secure data sharing. Blockchain's immutability, cryptographic security, and transparency offer robust protection against cyber threats. The study analyses blockchain's role in securing sensitive dats exchange, its advantagas over conventional cybersecurity messures, and challenges such as acalability, integration, and regulatory compliance. Findings indicate that block-chain-based frameworks can mitigate cybersecurity riska by providing a secure, resilient, and transparent environment for data sharing while identifying practical implementation challenges

Presenter(s): Sai Prashanth Reddy

Gaddamidi, Dinesh Veeragandapu

Sponsoring Department: Computer and Information Science

Mentor(s): Marwah Obaid

Presentation: 167

Title: A Systematic Literature Review of Zero Trust Architecture in AI-driven Cloud Environments for Healthcare Security

Abstract: The integration of Artificial Intelligence (AI) with Zero Trust Architecture (ZTA) presents a promising approach to enhance cloud security in healthcare. This Systematic Literature Review examines 40 studies to evaluate how AI-driven ZTA improves threat detection, access control, and compliance. While results show strong potential, challenges like regulatory alignment, explainability, and real-world deployment remain. This research offers critical insights to guide future security strategies for protecting sensitive healthcare data in dynamic, cloud-based environments.

Presenter(s): Jaydip Parekh, Priya Bhakta

Sponsoring Department: Computer and Information Science

Mentor(s): Md Tajmilur Rahman

Presentation: 168

Title: Architectural Drift and Evolution: An LLM-based Approach

Abstract: Software systems undergo continuous evolution to adapt to changing requirements and emerging technologies, but architectural modifications often introduce risks such as technical debt, compatibility challenges, and operational instability. Existing research has prioritized code-level metrics and manual architectural recovery, leaving a gap in systematic analysis of architectural drift in long-lived, small-scale systems that balance stable protocols with evolving implementation demands. This study addresses this gap by proposing an innovative framework that combines Large Language Models (LLMs) and information theory to automate architectural analysis, quantify structural evolution, and predict erosion risks. Focusing on FTP clients, a domain characterized by stable core functionality but pressured to adopt modern encryption, scalability, and cloud integration. We analyze a decade of version history from the Apache Commons Net Java library. The framework leverages Code Llama to extract conceptual and concrete architectures, identifying dependencies, layers, and interfaces, while understand provides complementary code-level quality metrics. Shannon entropy is employed to measure divergence between architectural layers across releases, revealing trends such as modularization efforts, encryption adoption, and asynchronous I/O refactoring. By correlating entropy shifts with technical debt indicators and documented architectural decisions, this work demonstrates the potential of LLMs to automate architectural trend analysis and offers two key contributions: a scalable methodology for quantifying architectural drift in long-term system evolution, and actionable insights to prioritize refactoring and mitigate erosion risks proactively. The results underscore the transformative potential of LLMs in architectural maintenance, enabling sustainable evolution of legacy systems. This approach equips maintainers with tools to align architectural changes with long-term sustainability goals, reducing risks associated with unmanaged drift.

Presenter(s)

: Saikiran Reddy Gangireddygari

Sponsoring Department: Computer and Information Science

Presentation: 169

Title: Evaluating Impacts of Feature Toggle Usage Patterns

Abstract: Feature toggles have emerged as a crucial mechanism in modern software development, enabling dynamic feature management, controlled rollouts, and experimentation without requiring code redeployment While they enhance deployment flexibility and facilitate continuous integration and delivery (CI/CD), their improper usage can introduce unintended complexity, leading to long-term maintenance challenges and increased technical debt Existing research and industry practices primarily focus on the advantages of feature toggles, with limited empirical analysis of their impact on software complexity and code quality. A critical gap remains in understanding how different feature toggle usage patterns contribute to increased code complexity and the accumulation of technical debt across projects This study aims to address this gap by systematically evaluating the impact of various feature toggle usage patterns, including dead, nested, mixed, Enum, and spread toggles, on key software complexity and maintainability metrics We employ an automated feature toggle detection tool, TS-detector, to identify toggle occurrences across multiple open-source and enterprise projects. To assess their impact on code quality, we utilize SonarQube and Understand to analyze complexity-related metrics such as cognitive complexity, cyclomatic complexity, nesting, coupling, cohesion and maintainability By examining correlations between toggle patterns and complexity indicators, this research seeks to identify the extent to which certain patterns contribute to technical debt and reduced maintainability Additionally, the study incorporates a mixed-method approach, combining quantitative analysis with developer surveys and expert interviews to validate findings and capture qualitative insights on toggle management challenges The results of this study are expected to provide actionable recommendations and best practices for software developers, helping them adopt maintainable and efficient feature toggle strategies This research contributes to the field of software engineering by bridging the gap between feature toggle utility and its potential pitfalls, ultimately promoting sustainable software development practices.

Presenter(s): Sri Vidya Puttareddygari

Sponsoring Department: Computer and Information Science

Mentor(s): Md Tajmilur Rahman

Presentation: 170

Title: OptiStock: Predictive Inventory Management for Restaurants

Abstract: Efficient inventory management is essential in the restaurant industry to reduce food waste, optimize ingredient ordering, and improve operational efficiency. This study introduces OptiStock, a predictive inventory management system that uses advanced time series forecasting models to predict ingredient demand based on historical sales data By employing ARIMA (AutoRegressive Integrated Moving Average), LSTM (Long Short-Term Memory), and Prophet models, OptiStockpredicts ingredient consumption and automates stock replenishment, minimizing both overstocking and stockouts. We preprocessed historical sales data to implement the forecasting models, and to evaluate their performance with in terms of Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) Our finding demonstrates that OptiStock significantly enhances restaurant operations by reducing food waste, optimizing costs, and improving sustainability. The future works will enhance scalability across multiple different types of restaurants, and will integrate real-time data for better accuracy. Overall, the combination of these forecasting models leads to improved demand prediction and stock level optimization, contributing to more efficient restaurant management Keywords: Predictive Inventory Management, ARIMA, LSTM, Prophet, Time Series Forecasting, Restaurant Operations, Ingredient Demand Prediction, Waste Reduction, Machine Learning in Restaurants, Operational Efficiency.

Presenter(s): Ashish Reddy Ala, Sunil Chowdary Bolla

Computer and Information Science

Presentation: 171

Title: Automated AWS Infrastructure for Machine Learning Experiments Using Ansible

Abstract: This project is about using Ansible to automate the AWS infrastructure management for machine learning experiments With the help of IaC concept, processes for Infrastructure deployments, configurations, security aspects and scaling of Red Hat Linux based Amazon EC2 instances are greatly simplified. The procedural work starts with establishing the AWS environment, deploying the Ansible playbooks, and studying security and optimization strategies Some of the important topics include Installing Ansible, dependency, EC2 instance setup etc. For example, playbooks are used for provisioning, virtual machines configuration, installing the Machine Learning frameworks (TensorFlow, Pytorch, NumPy, Pandas), and security such as Firewall settings, and SSH keys distribution. Roles are used in practice to enhance the modularity of the code for the purpose of better maintainability Communication between Virtual machines is also achieved by networking effectively and securely with the help of Ansible. This also considers AWS Auto Scaling Groups in the project to cater for the scaling of VMs in relation to workload requirements Stress tests check the stability of the AWS and various performance monitoring tools verifies the stability and efficiency of the given environment. This project offers a scalable and reproducible solution using automation with Ansible to provide a structure to its AWS environment to perform ML experiments. The result helps improve operational efficiency since manual setup is removed, capacities are adjusted properly, and infrastructure is managed suitably

Presenter(s): P

Sponsoring Department: Computer and Information Science

Mentor(s): Ronny C Bazan-Antequera

Presentation: 172

Title: The Effectiveness of Behavioral Biometrics in Enhancing Cybersecurity

Abstract: This research compares five behavioral biometric modalities keystroke dynamics, mouse movements, touchscreen gestures, voice biometrics, and gait recognition for user authentication on a continuous basis. Based on performance measures such as accuracy, FAR, FRR, and response time, the most accurate modality was voice biometrics, with keystroke and touchscreen providing a pragmatic balance. The research informs the choice of secure yet user-friendly biometric systems and informs future research in multimodal authentication.

Presenter(s): Shanmukha Sudheer Thota, Venkata Sai Sundeep Sevuri

Sponsoring Department: Computer and Information Science, Cybersecurity

Mentor(s): Steven T Rowland

Presentation: 173

Title: Automating Neoantigen mRNA Vaccine Development

Abstract: This project develops computational tools to make personalized cancer vaccine design faster and more accurate. By using genomic data and computational methods, this study helps researchers manage large datasets related to gastrointestinal cancers. The study focuses on automating workflows, simulating mutations, and visualizing genomic relationships to support vaccine development. This approach helps identify neoantigens and create mRNA vaccine sequences tailored to individual mutations. The system pulls mutation data from The Cancer Genome Atlas (TCGA) and maps it to the ENSEMBL reference genome. It identifies affected exons using NCBI CCDS data and simulates how the mutation changes the protein. It uses Expasy Translate to generate the mutant protein sequence and compares it to the normal version to find the exact neoantigen. This project automates the process of identifying and testing neoantigens, making cancer vaccine design more efficient. It follows a clear, step-by-step method from mutation identification to vaccine design.

Presenter(s): Youssef Elsayed

Sponsoring Department: Computer and Information Science

Mentor(s): Mei-Huei Tang, Gary Vanderlaan

Presentation: 174

Title: Modern Vector CRT Gaming Console

Abstract: Cathode-ray tubes were the primary display technology used prior to 2007. Most CRTs utilized a drawing method called rasterization, where the electron beam moves left to right, row by row, changing brightness rapidly down the entire length of the TV 60 times a second. In the early 1970s, with the advent of CRTs, there was another display method called vector drawing. Vector drawing was unique compared to rasterization as there is no limitation to display resolution or refresh rate. Instead of combing through the entire display, the electron beam is precisely controlled using analog circuitry. You can manipulate x and y coordinates to draw desired shapes like a traditional pen plotter. The result is a super sharp and high-contrast picture that makes for a beautiful and unique style compared to the standard CRT image. The goal of my project is to make a modern vector-based video game console using modern digital microcontroller technology, and to make it compatible with cheap, easily obtainable CRT Oscilloscopes.

Presenter(s): Jack Little

Sponsoring Department: Computer and Information Science

Mentor(s): Mei-Huei Tang

Presentation: 175

Title: The Role of Digital Forensics and Cybersecurity in Counterterrorism

Abstract: This study provides a systematic literature review that examines how digital forensic and cybersecurity tools contribute towards counterterrorism efforts. As cyberterrorism has become an increasingly dominant force in the global fight for power, technology specialists within the United States have elected to prioritize the creation of various digital forensic tools for investigating these threats. To contribute towards the continuous improvement of these tools, this project explores existing digital forensic and cybersecurity tools that may be used in the mitigation and investigation of terrorist activities. It also outlines how these tools and related policies may be modernized to meet the growing demand level of emerging threats and investigation processes. Additionally, recommendations are made for training improvements in forensic and cybersecurity analysis for greater contributions towards national security with fewer limitations. These findings aim to inspire the continuous improvement of digital forensic and cybersecurity tools, thus furthering national security efforts.

Presenter(s): Julia Carver

Sponsoring Department: Computer and Information Science

Mentor(s): Mei-Huei Tang

Presentation: 176

Title: Biometric Vulnerabilities in Iris and Retinal Scanning: Impact of Ocular Transplants on Secure Authentication Systems

Abstract: This Project explores how medical interventions like ocular transplants affect the reliability of iris and retinal biometric authentication systems. By simulating post-transplant scenarios and training adaptive CNN models on publicly available datasets (UBIRIS.v2 and STARE), we evaluate how well biometric systems handle physiological changes. The results show a significant drop in accuracy after transplant simulations, with performance improving after adaptive learning techniques.

Presenter(s): Pallavi Vuduthuri, Jashwanth Valluru

Sponsoring Department: Computer and Information Science

Mentor(s): Jizhou Tong

Presentation: 177

Title: Predicting Fake Information in Social Networks and authentication Using Blockchain

Abstract: The widespread diffusion of fake information on social networks undermines public trust and poses threats during events like elections or public health crises. Traditional verification techniques are too slow to handle the velocity of social media content. This project tackles the problem by integrating machine learningbased fake news detection with blockchain for content verification, creating a dual-layer defense to detect and validate information in real-time .

Presenter(s): Kavya Chindam Madhuri Yapashetti

Sponsoring Department: Computer and Information Science

Mentor(s): Jizhou Tong

Presentation: 178

Title: Secure Remote File Server

Abstract: This research paper presents the development and implementation of a Secure Remote File Server designed to facilitate secure file storage, sharing, and collaboration over the internet. With the rising adoption of remote work and cloud-based computing, the need for a robust, scalable, and secure file server is paramount This project leverages Nextcloud as the primary platform, integrating advanced security mechanisms such as AES-256 encryption, Secure Socket Layer/Transport Layer Security (SSL/TLS) for data transmission, MultiFactor Authentication (MFA), and RoleBased Access Control (RBAC) to prevent unauthorized access. Additionally, the project incorporates automated backup solutions and real-time collaboration features to ensure data integrity and availability This research paper details the architecture, security implementations, testing procedures, and performance evaluations of the system, demonstrating its effectiveness in addressing current cybersecurity challenges in remote file access With the exponential growth of remote work, cloud-based collaboration tools have become an essential component of modern digital infrastructure. However, security risks such as unauthorized access, data breaches, and cyber threats remain significant concerns According to a study by Smith et al. (2023),data breaches involving cloud storage systems have increased by 35% over the past five years due to weak authentication mechanisms and poor encryption practices Existing cloud-based file storage solutions such as Google Drive, Dropbox, and OneDrive provide ease of use but often fail to offer robust security features tailored to enterprise requirements This research proposes a secure, self-hosted file-sharing system utilizing Nextcloud, an opensource cloud solution, to ensure complete control over data security and user management.

Presenter(s): Shah Tawkir Nesar

Computer and Information Science Koduah

Presentation: 179

Title: LocalFlex: A Cost-Effective Alternative to Co-Location for Low-Latency Networking

Abstract: Data centers power today’s internet, hosting services, applications, and resources for industries worldwide. From banking to streaming and healthcare, they ensure quick and reliable data processing.Businesses use co-location services to place their servers near key resources, reducing network latency and improving performance. This setup minimizes the distance between equipment and critical infrastructure, cutting the time data takes to travel. Co-location is essential in fields where even slight delays matter, like high-frequency trading and cloud gaming.However, co-location is expensive, both in terms of space rental and server management. This project explores how Transport Acceleration Systems (TAS) can deliver similar performance without needing physical co-location, aiming for a cost-effective alternative.

Presenter(s): Youssef Elsayed, Quang Phu Ly

Sponsoring Department: Computer and Information Science

Mentor(s): Kefei Wang

Presentation: 180

Title: Ransomware Detection Using Machine Learning

Abstract: Ransomware is a growing cybersecurity threat that encrypts data and demands payment for decryption. Traditional detection methods struggle against evolving ransomware variants. This research explores machine learning (ML) for real-time ransomware detection and mitigation. By analyzing system logs, network traffic, and user behavior, ML models like Random Forest and Neural Networks improve detection accuracy. Anomaly detection further enhances the identification of emerging threats. The study integrates big data frameworks like Apache Spark for scalability and real-time response. This approach aims to strengthen cybersecurity defenses by providing adaptive, automated ransomware detection and mitigation.

Presenter(s): Pavani Pudari

Sponsoring Department: Computer and Information Science

Mentor(s): Kefei Wang

Presentation: 181

Title: Sentiment Analysis of Tweets Using AWS: An Automated Pipeline

Abstract: To develop an automated pipeline using AWS services to collect, process, analyze, and visualize the sentiment of tweets, classifying them as Positive, Negative, or Neutral

Presenter(s): Pawankumar Thippabattini, Priya Dharshini Mamidipelli

Sponsoring Department: Computer and Information Science

Mentor(s): Kefei Wang

Presentation: 182

Title: AI-Driven Personalized Product Recommendation System Integrating ChatGPT and Vector-Based Product Embeddings

Abstract: Personalized product recommendations enhance customer engagement and sales by leveraging purchase history and artificial intelligence. This paper presents an AI-driven recommendation system that integrates OpenAI’s ChatGPT with vector-based product embeddings generated by OpenAI embeddings for precise, data-driven suggestions The system retrieves a customer's past purchases, extracts embeddings from purchased products, and computes an average embedding to perform a similarity search using MongoDB's vector search capabilities The most relevant products are stored in a recommendation database, ensuring efficient retrieval. Administrators interact with the system via a chatbot interface, where they request tailored recommendations based on customer history ChatGPT processes the request while strictly limiting suggestions to products retrieved from the database, ensuring accuracy and preventing hallucinated recommendations The recommendations are saved and made accessible through an API endpoint, allowing seamless integration with customer-facing applications. This approach optimizes recommendation accuracy while balancing AI automation with human oversight It enhances user experience by providing relevant suggestions in real-time and ensures data consistency by storing only product IDs in the recommendation database. Keywords: AI-driven recommendations, e-commerce personalization, ChatGPT, vector search, product embeddings, MongoDB, customer experience.

Presenter(s

)

: Venkata Sai Pavan Kumar Kolagani, Gayathri Karusala Computer and Information Science

Presentation: 183

Title: SpeakBuddy – AI-Powered Mobile App for Speech-to-Text Insights, Translation & Debate Analysis

Abstract: SpeakBuddy is a smartphone software that helps debaters and judges by giving them organized, real-time feedback during competitive arguments. Through the use of AI-based analysis and speech-to-text technology, SpeakBuddy enhances the reliability and caliber of debate evaluation. Offering customized analysis based on speech transcriptions, the software supports well-known forms like Lincoln-Douglas, Public Forum, and Policy Debate. The principal objective of SpeakBuddy is to expedite the judgment process and furnish participants with constructive input via an easy-to-use smartphone interface.

Presenter(s): Adwaith Venkata Sai Kalugotla, Bhuvanesh Bagam

Sponsoring Department: Computer and Information Science

Mentor(s): Liu Yankai

Presentation: 184

Title: Prediction and Food Recommendation System using Machine Learning Vitamin Deficiency based Disease

Abstract: This study provides an in-depth analysis of vitamins, focusing on their classification, sources, biological roles, and health implications. Vitamins are broadly categorized into fatsoluble (A, D, E, K) and watersoluble (B-complex, C) groups, each playing distinct roles in the body's biochemical pathways. While deficiencies can lead to diseases such as scurvy, rickets, and beriberi, excessive intake may also cause toxicity. Understanding the balance of vitamin intake is crucial for disease prevention and overall health. This research underscores the importance of vitamins in daily nutrition and their impact on physiological and metabolic processes.

Presenter(s): Thirumala Vamsi Reddy Ganta, Hemanth Kumar Varadharaju

Sponsoring Department: Computer and Information Science

Mentor(s): Qing Zhang

Presentation: 185

Title: AI-Powered Research Navigator and Summarization Tool

Abstract: This project presents an AI-powered research navigator designed to enhance academic productivity. The system enables users to upload research papers or search across academic databases, perform keywordbased exploration, generate intelligent summaries, and receive citation recommendations. Leveraging advanced NLP models and retrieval-augmented generation (RAG), the tool simplifies literature review and knowledge synthesis. With a user-friendly interface and scalable architecture, it offers a fast, efficient, and intelligent approach to academic research.

Presenter(s): Sindhuja Kommineni, Shree Durga Bhavani Vankalapati

Sponsoring Department: Computer and Information Science

Mentor(s): Qing Zhang

Presentation: 186

Title: Web Application Firewall Using Modsec Engine

Abstract: Web applications face sophisticated attacks like SQL injection (SQLi) and cross-site scripting (XSS), requiring robust defense mechanisms. This study evaluates ModSecurity (ModSec), an open-source web application firewall (WAF), implemented to enhance security while addressing configuration complexity and performance overhead. By integrating ModSec with the OWASP Core Rule Set (CRS), the project demonstrates that ModSec blocks 98% of tested attacks, returning 403 Forbidden responses for malicious requests. However, a 12% latency increase under high traffic highlights the security-performance trade-off. The study proposes a framework to optimize CRS rules, reducing false positives by 40% and maintaining compliance with standards like PCI-DSS. These findings underscore ModSec's efficacy in mitigating OWASP Top 10 vulnerabilities while emphasizing the need for tailored configurations in dynamic environments.

Presenter(s): Shivang Desai

Sponsoring Department: Computer and Information Science

Mentor(s): Samuel Tweneboah-Koduah

Presentation:

187

Title: Secure share - using blockchain

Abstract: Secure Share is a decentralized file storage and sharing platform that prioritizes security, privacy, and efficiency in data management. By leveraging advanced technologies, it addresses the vulnerabilities inherent in centralized systems, ensuring data confidentiality, integrity, and availability. Unlike traditional methods reliant on centralized servers, Secure Share integrates blockchain technology using Polygon’s infrastructure to manage access controls and maintain an immutable transaction record, thereby preventing unauthorized tampering. Advanced cryptography provides end-to-end encryption, ensuring that files remain accessible only to authorized users with decryption keys. The platform also utilizes the Interplanetary File System (IPFS) for distributed storage, enhancing redundancy and fault tolerance while significantly reducing the risk of downtime or data loss. Secure Share empowers users with full control over their data and permissions, eliminating reliance on intermediaries. This innovative approach creates a resilient and privacyfocused solution, making Secure Share an ideal choice for individuals and organizations seeking secure data management in the digital age.

Presenter(s): Anusha Kandi, Prinisha Yedla

Sponsoring Department: Computer and Information Science

Mentor(s): Peter Capelli

Presentation: 188

Title: A Comparative Analysis of Cybersecurity Architecture in Small, Medium, and Large Organizations

Abstract: Cybersecurity has become a crucial aspect of organizations due to the evolving threats posed by malicious actors. As a result, organizations have been forced to invest more time and resources into their cybersecurity architecture. However, their implementation styles vary drastically based on the organization’s size and other limiting factors. This research paper uses a systematic literature review of 53 academic papers along with a case study that consists of 37 participants to compare cybersecurity architecture across small, medium, and large organizations. It examines key factors such as unique security needs, integration of modern technologies, implemented security measures, and resource constraints. By analyzing these aspects, this study aims to provide a more comprehensive understanding of how organizations adapt their cybersecurity strategies. These findings offer guidance and recommend directions for improving cybersecurity architecture, as well as recommending where future research should head in this field.

Presenter(s): Dylan Wilson, Noah Rullan

Sponsoring Department: Computer and Information Science and Cybersecurity

Mentor(s): Rashid Khan

Presentation: 189

Title: Evolving Cybersecurity Strategies in Business: Measuring Growth and Impact

Abstract: The rise of digital technology has made cybersecurity a fundamental strategy for all industries. The increase in cyber threats has led to a shift from basic security measures, such as firewalls, to more advanced and proactive defense strategies. This study explores the significant evolution of cybersecurity practices in business organizations and the advancements in security technologies. It also examines the impacts these evolutions and advancements have had on industries. Furthermore, this research investigates how cybersecurity has contributed to business growth and development.

Presenter(s): Chikadibia samuel Nwodo

Sponsoring Department: Computer and Information Science and Cybersecurity

Mentor(s): Md Tajmilur Rahman

Presentation: 190

Title: Securing Health Survey: Cryptography and Digital Signatures for Patient Data Protection

Abstract: The project "Securing Health Surveys: Cryptography and Digital Signatures for Patient Data Protection" aims to enhance the security and integrity of sensitive patient data collected through health surveys. Leveraging modern cryptographic techniques, the system employs AES-256 encryption for secure data transmission and storage, ensuring confidentiality. Digital signatures are implemented to authenticate survey submissions, preventing tampering and ensuring data integrity. The platform integrates blockchain technology via Web3j for immutable metadata storage and BigchainDB for decentralized, encrypted data storage, ensuring compliance with HIPAA and GDPR regulations. The frontend, built with React and Vite, offers a responsive and user-friendly interface, while the backend, powered by Node.js and Express.js, handles secure data processing and blockchain interactions. Key features include client-side encryption, digital signature capture, and secure cloud storage for X-ray images. The system also provides downloadable survey reports for transparency and user control. By combining cryptography, blockchain, and decentralized storage, the project delivers a robust, scalable, and compliant solution for securing health survey data, fostering trust and safeguarding patient privacy.

Presenter(s): Bhoomika Ramakuri, Nalini Yarragunta

Sponsoring Department: Computer Information and Science and Cybersecurity

Presentation: 191

Title: A Systematic Literature Review on the Taxonomy of Ransomware Attacks of Ransomware Attacks

Abstract: Ransomware attacks threaten individuals, businesses, and infrastructure by exploiting vulnerabilities. The absence of a standardized taxonomy hinders intelligence sharing and incident response. This research aims to develop a comprehensive classification framework through a systematic literature review (SLR) to enhance detection, threat sharing, and cybersecurity defenses.

Presenter(s): Abdullah Al MAMUN, Amarnath Tumu

Sponsoring Department: Computer and Information Science and Cybersecurity

Mentor(s): Md Tajmilur Rahman

Presentation: 192

Title: Face Authentication-Based File Lock & Hiding System

Abstract: The need for robust digital data security has exposed vulnerabilities in traditional file protection systems that use password-based encryption because hackers can easily breach this protection method This project proposes a Face Authentication-Based File Locking and Hiding System that enhances file security by integrating facial recognition and PIN authentication Developed using Python, the system utilizes OpenCV and dlib for real-time face detection and verification, ensuring that only authorized users can access locked files. Users can sign up their facial information to the system while setting up a PIN code as a separate verification method Users need to authenticate their access to secured files by presenting their face for recognition or by using their PIN. Additionally, AES encryption is implemented to ensure that files remain protected even if unauthorized access is attempted The authentication attempts stored in secure logs consist of timestamps together with access status information which strengthens security measures. This solution provides a dualauthentication mechanism, balancing strong security with user convenience The security system based on facial recognition provides users with an effortless authentication process that also minimizes the threat of password retrieval by unauthorized parties Users can still authenticate with PIN access if their face recognition systems fail to work properly The expected outcome of this project is a fully functional, user-friendly file security system that prevents unauthorized access while maintaining ease of use The proposed method enhances both personal data safety and shows how biometric authentication systems boost file security.

Presenter(s)

: Bhavya Ravipati, Megasai Rangisetti

Computer and Information Science and Cybersecurity

Presentation: 193

Title: Enhancing Permission Blockchain Security with Zero Trust Architecture

Abstract: As cybersecurity threats evolve, Zero Trust Architecture (ZTA) and blockchain are gaining prominence for secure data management. While widely studied independently, their integration remains underexplored. This study employs the PRISMA approach to review literature on using permissioned blockchains to enhance ZTA’s security, identity management, and access control. Findings highlight ongoing industry interest but reveal challenges in large-scale adoption. This research identifies key gaps and provides insights to strengthen cybersecurity resilience, guiding future studies and practical applications.

Presenter(s): Akhil Reddy Muduganti, Prashanth Oruganti

Sponsoring Department: Computer and Information Science and Cybersecurity

Mentor(s): Yunkai Lin

Presentation: 194

Title: A Comprehensive Analysis of IAM Strategies in Multi-Cloud Environments

Abstract: This study conducts a systematic review to evaluate Identity and Access Management (IAM) strategies in multi-cloud environments, with a specific focus on Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC). The research applies the Kitchenham method to collect, analyze, and compare the effectiveness of these IAM models in enhancing security. Through a structured literature review, this study aims to identify IAM challenges, evaluate access control mechanisms, and assess security improvements within multi-cloud infrastructures. The findings will provide insights into the benefits and limitations of RBAC and ABAC models, highlighting their role in mitigating unauthorized access and improving security governance.

Presenter(s): Tarun Kumar Kammela, Aishwarya Alampur

Sponsoring Department: Computer and Information Science and Cybersecurity

Mentor(s): Marwah Obaid

Presentation: 195

Title: Virtual Fault Current Limiter (vFCL) - IOT Device Health Status Ecosystem

Abstract: The project comprises two primary elements: firstly, developing a software-based Fuse Cutout (FCL) to replace conventional fuses, utilizing sensors and actuators for dynamic electrical control. This innovation promises increased flexibility and faster response to electrical issues. Secondly, an IoT-driven Command Center for Monitoring and Reporting will be established, using sensors andwearables to collect real-time data. This data will be transmitted to a central hub, enabling real-time monitoring, historical analysis, and alerting for devices. Integrating IoT capabilities into the software fuse system aims to ensure electrical safety with robust security and privacy considerations.

Presenter(s): Akshaykumar Nayee

Sponsoring Department: Electrical and Cyber Engineering

Mentor(s): Fong Mak

Presentation: 196

Title: Comparing the Water Quality and Microbial Ecology of an Urban and Rural Stream

Abstract: The microbial ecology of the Great Lakes Region has attracted increasing attention in recent years. While bacterial community composition (BCC) has been studied in both the water column and sediments of several Great Lakes, the US portion of Lake Erie and its tributaries remain relatively understudied. This study focuses on two tributaries within the greater Lake Erie Watershed: Mill Creek (an urban stream that is diverted partially underground via the Mill Creek Tube in Erie, PA) and Twelvemile Creek (a rural stream located twelve miles east of Erie, near Northeast, PA). To assess the impact of watershed urbanization on water quality and microbial communities, key water quality parameters were analyzed. These include pH, conductivity, turbidity, E. coli and total coliform counts, and nutrient levels (nitrate and phosphate concentrations) before and after rain events Concurrently, water samples of each site were collected on filter paper and stored for DNA extraction and 16s rRNA gene sequencing to characterize BCC in each stream. By comparing these two tributaries, this study aims to shed light on the influence of urbanization on water quality and microbial ecology as well as their effects on the greater Lake Erie ecosystem. Findings from this study will provide insights into the relationships between land use, microbial diversity, and aquatic health in the Lake Erie watershed

Presenter(s): Andrew Samuels

Sponsoring Department: Environmental Science and Engineering

Mentor(s): Liu Cao

Presentation: 197

Title: Assessment of Heavy Metals in Solid Deposits from Road Salt-Contaminated Snow Piles in Downtown Erie, PA

Abstract: This research explores the potential leaching of heavy metals from solids deposits in road salt-contaminated snow piles along curbsides These solid deposits mainly consist of street dirt and unidentified chemical pollutants from vehicle emissions, atmospheric deposition, and urban runoff, posing potential environmental risks as they melt. While the application of road salt during winter enhances driving safety, chloride, a major component of road salt, is known to promote metal dissolution in water. In this study, 69 snow samples heavily contaminated with street dirt and road salt were collected from snow piles on fifteen streets in downtown Erie, PA, and analyzed for heavy metals The samples were thawed at room temperature, filtered, and the retained solids were dried and digested using USEPA Method SW-3035B for heavy metal analysis The findings of this study will enhance our understanding of urban pollution impacted by road salt during the snow season.

Presenter(s): Mathew Deepu

Sponsoring Department: Environmental Science and Engineering

Mentor(s): Hwidong Kim

Presentation: 198

Title: Outcomes of Occupational Therapy Intervention on Pelvic Floor Dysfunction

Abstract: This quasi-experimental study examined the impact of occupational therapy (OT) interventions on pelvic floor dysfunction (PFD) symptoms in self-identified females Participants completed the Pelvic Floor Impact QuestionnaireShort Form 7 (PFIQ-7) and the Pelvic Floor Distress Inventory-Short Form 20 (PFDI-20) before and after OT intervention. A Wilcoxon signed-rank test indicated statistically significant symptom reduction on both assessments (PFIQ-7: p = 007; PFDI-20: p = .008). A floor effect was observed in the bowel/rectal subscales (p > .05), suggesting limited impact in this area OT interventions including nervous system regulation, manual therapy, pelvic floor rehabilitation, bladder/bowel training, strengthening, pain modalities, education, and holistic approaches effectively reduced PFD symptoms, particularly in bladder and vaginal function These findings support the integration of OT interventions into treatment for PFD. Further research is needed to explore which OT interventions best optimize outcomes for bowel-related symptoms. Keywords: pelvic floor dysfunction, occupational therapy, PFIQ-7, PFDI-20, Wilcoxon signed-rank test

Presenter(s): Grace O'Callaghan, Carli Wilson, McKenna Woodworth, Breanne Zippay

Sponsoring Department: Occupational Therapy

Mentor(s): Lindsay Church

Presentation: 199

Title: Caregiver Perceptions of Occupational Therapy Feeding Services in Early Intervention

Abstract: Occupational therapy (OT) helps individuals achieve independence in daily activities, including feeding, a key activity of daily living (ADL) Goday et al (2019) defined food refusal as oral intake that is impaired or not age appropriate, affecting medical, nutritional feeding skills, or psychosocial function. Early intervention (EI) OT is instrumental in supporting children with feeding difficulties in their developmental journey There is limited research surrounding caregiver training and education related to EI OT feeding services. To further explore this issue, a qualitative study was conducted to further investigate caregivers’ perception on EI OT feeding services Once research was approved by the Institutional Review Board, structured interviews consisting of 10 open-ended questions were conducted with two caregivers of children receiving EI OT feeding services to gather qualitative data regarding their perceptions of the carryover of mealtime education. Following an inductive approach, common responses emerged through interviews. Broader themes were identified, providing insight into how caregivers perceive the effectiveness and carryover of mealtime education from OT. Final themes included: resource driven support, collaborative care, and interventions. Overall, this study emphasizes the importance of caregiver education and collaboration in the success of OT feeding interventions Key Words: early intervention, caregiver’s perspective, caregiver education, feeding therapy, occupational therapy

Presenter(s): Claire D'Amore, Emily DeGolier, Logan Johnston

Sponsoring Department: Masters of Science in Occupational Therapy

Mentor(s): Julia Hawkins-Pokabla

Presentation: 200

Title: Pediatric Occupational Therapy Outcomes for Dyspraxia Using the SEEM and Goal Attainment Scale

Abstract: The purpose of this research was to investigate how the utilization of the SEEM (Sensory Emotional Engagement Model) guides therapeutic play and affects motor and social-emotional outcomes. Population: The study's population consisted of 12 children, aged between 2 and 7 years, diagnosed with dyspraxia, and have undergone occupational therapy treatment at Great Kids Place in Rockaway, New Jersey. Design: This study is a quasi-experimental design that included analysis of a single group of participants that occurred at three distinct points of time including at baseline, at 15 weeks, and after 30 weeks of occupational therapy. The interventions employed in this study followed the SEEM, with a specific focus on its application to dyspraxia, encompassing play themes and affective strategies. Interventions guided by the SEEM incorporate play themes designed to enhance both sensory-motor and social-emotional capacities in children. Outcome Measures: The Goal Attainment Scale (GAS), a standardized measure used to measure progress toward client-established goals, was administered by an occupational therapist for each participant at 0, 15, and 30 weeks. Results: A Wilcoxon was conducted and the GAS scores from 0 weeks (Mdn = 0) to 15 weeks (Mdn = 0; Z = -1.823, p = .068) did not show a significant increase. The GAS results from 0 weeks (Mdn = 0) to 30 weeks (Mdn = 1; Z = -2.810, p = .005) showed a significant increase in goal progress. A Wilcoxon test (Z = -3.166, p = .002) showed that the greatest improvement in GAS scores from 15 weeks (Mdn = 0) and 30 weeks (Mdn = 1). Conclusion: The sensory-emotional component of pediatric dyspraxia is often overlooked in treatment. The use of the SEEM-focused occupational therapy to treat children with dyspraxia can improve clientestablished goal attainment. Further research is necessary to continue exploring the potential benefits of SEEM-focused occupational therapy for children with dyspraxia.

Presenter(s):

Allison Christian, Sofi Folk, Ashten Robino, Gretta Schlueter

Sponsoring Department: Occupational Therapy

Presentation: 201

Title: Relationship of Exercise Participation and Hospital Readmission Rates Following Traumatic Brain Injury

Abstract: The purpose was to investigate if there was a relationship present between exercise and hospital readmission rates for those with a traumatic brain injury (TBI). Population: The target population included 4,664 adults ages 18-65 in the United States who had experienced TBI. Participants were part of the Traumatic Brain Injury Model Systems National Database (TBIMS), completed a follow-up interview between 2018-2023, and were 2-10 years post TBI. Exclusion criteria included individuals scoring two or less on the Functional Independence Measure comprehension subdomain, those with missing data on sports or exercise participation, hospital readmissions, or rehospitalization in the past year. Research Design: This study was a secondary analysis of an ongoing prospective observational study. Outcome Measures: The data collection tool used in this study were Forms 1 and 2 from the TBIMS. Form 1 is completed during the initial intake after discharge. Following the fifth year, the participant is reassessed every five years. The data from these reassessments are collected within Form 2. The measured correlation variables for this study from Form 2 consisted of frequency of rehospitalization in the past year and sport and exercise engagement in a typical month. Results: A Spearman’s rho correlation analysis found a statistically significant but small negative relationship between hospital readmission frequency and sport and exercise engagement (rs = -0.072, p

Presenter(s): Bailey Eaton, Brooke Johnson, Alexis Madrid, Halle Zelina

Sponsoring Department: Occupational Therapy

Mentor(s): Stephanie Kubiak

Presentation: 202

Title: Highlighting Positive Attributes of Undergraduate Students With Attention Deficit Hyperactivity Disorder

Abstract: N/A

Presenter(s): Sara Alraziqi, Kaylin Hoffman, Camryn Klawon, Samantha Parker

Sponsoring Department: Occupational Therapy

Mentor(s): Nicole Lavery

Presentation: 203

Title: The Impact of Equine-Assisted Therapy on Family Dynamics and Quality of Life of Caregivers of Individuals with Autism Spectrum Disorder

Abstract: This phenomenological study examined the impact of equine-assisted therapy (EAT) on family dynamics and quality of life (QoL) from the perspective of caregivers of children with autism spectrum disorder (ASD). Five caregivers participated in interviews to explore how their child’s involvement in EAT influenced family dynamics and QoL Analysis revealed four key themes: Improved Family Dynamics and QoL, Rider’s Educational Value, Social Participation, and Community Findings suggest that caregivers believe EAT does enhance family dynamics and QoL, offering valuable insights for occupational therapists and healthcare professionals supporting families with ASD.

Presenter(s): Hadyn Swan-Leuze, Claudia Russell, Leah Kotheimer

Sponsoring Department: Occupational Therapy

Mentor(s): David LeVan

Presentation: 204

Title: The Role of Occupational Therapy on Perceived Air Travel Accessibility

Abstract: Air travel poses significant accessibility challenges for individuals with mobility impairments, restricting occupational participation Occupational therapy can address these barriers by promoting universal design, training airline personnel on safe mobility device handling, and advocating for policy changes. This study examined the air travel experiences of passengers with mobility impairments and the role of flight attendant training Of 38 participants, 26 reported device damage, most commonly affecting the wheelchair frame (21.43%) and wheelchair armrests (21.43%). Over 92% experienced boarding difficulties, and more than half could not navigate the cabin of the aircraft Additionally, 65.79% avoided air travel due to mobility concerns. These findings highlight the need for occupational therapy-led advocacy, improved safety measures, and enhanced device management to ensure equitable air travel fr individuals with mobility impairments. Future research should explore innovative strategies for improving aircraft accessibility, including assistive technology, staff training programs, and policy reforms, to support safe and independent travel Keywords: mobility impairment, accessibility, mobility device.

Presenter(s): Erin Turner, Anna Soltes, Elizabeth Principe

Sponsoring Department: Occupational Therapy

Mentor(s): Karen Probst

RUSKIN GRADUATE RESEARCH

AND SCHOLARSHIP

POSTER PRESENTATIONS

Presentation: 205

Title: A Relationship Between Anxiety/Depression and Atrial Fibrillation: A Systematic Review of the Literature

Abstract: The goal of this systematic review was to investigate the correlation between anxiety and depression with atrial fibrillation, and to identify the common causes of both conditions. Six articles published between 2013 – 2024 included 68,156 18–90-year-olds that had anxiety/depression, atrial fibrillation, and assessed Quality of Life. Other cardiac diagnoses and severe cognitive decline were excluded. There were three randomized control trials and three cohort studies. Interventions included cognitive behavior therapy, participation in SMART programs, multi-component behavioral activation program, and direct oral anticoagulant exposure. All studies showed a decrease in anxiety/depression/atrial fibrillation symptoms or an improvement in AFEQT scores.

Presenter(s): Madison Mewborn, Emily Irwin, Tyler Winn, Kevin Piloto-Diaz

Sponsoring Department: Doctor of Physical Therapy

Mentor(s): Katherine Calvert, PT, DPT, CLWT, BCGS

Presentation: 206

Title: Exploring Knowledge and Perceptions of Graduate Health Profession Students Towards the Issues Surrounding Survivors of Human Trafficking

Abstract: Healthcare is reported to be one of the few professions that victims of Human Trafficking interact with while they are actively trafficked. The purpose of this study is to investigate the knowledge base of graduate allied healthcare students on the topic of human trafficking and how it is perceived to impact their healthcare profession. The method used for this study was a simple one-phase convergent mixed method design. Results from this study yielded three themes that indicated and emphasized the need for human trafficking education within graduate healthcare programs.

Presenter(s): Sophia Trozzo

Sponsoring Department: Doctor of Occupational Therapy

Mentor(s): Jennifer Castelli, OTD, CHT; Anne Moscony, OTD, CHT

Presentation: 207

Title: Community Mobility in Individuals with Low Vision

Abstract: Low vision disorders across age groups adversely impact occupations such as independent living and work. Due to the connection of these occupations to community mobility, this scoping review used four databases to analyze community mobility interventions for people with low-vision disorders within the last 10 years. Eight articles were assessed using PRISMA tables for levels of evidence and risk of bias. Five additional articles were included to analyze emerging research. Common interventions included low-vision rehabilitation services, compensatory strategies, and home evaluation and treatment. Additional themes were organized for emerging research, including fear of falling and hesitation around obstacles.

Presenter(s): William Barry, Elizabeth Cribb, Payton Young

Sponsoring Department: Doctor of Occupational Therapy

Mentor(s): Bonnie Decker, EdD, OTR/L, FAOTA

Presentation: 208

Title: Community-Based Dance Intervention for Post-Stroke: A Scoping Review

Abstract: This scoping review examines how community-based dance interventions affect depression symptoms experienced by individuals post-stroke. Studies were selected based on dance as an activity in community settings, stroke as the main diagnosis, and mental health and/or quality of life as outcomes. Thirteen relevant articles were located, with four randomized controlled trials (RCTs) identified. Benefits of dance for those post-stroke included improvements in motor performance, cognitive engagement, functional independence, and general well-being, although this was inconsistent. More RCTs need to be completed that focus on including dance in community based settings, with larger sample sizes, and a focus on long-term effects.

Presenter(s): Brooklin Webb, Keyrra Mann, Gabriella Perkins, Halimatuz Shaby

Sponsoring Department: Doctor of Occupational Therapy

Mentor(s): Bonnie Decker, EdD, OTR/L, FAOTA

Presentation:

209

Title: Effect of Cognitive Training on Driving Performance in Older Adults

Abstract: Over the past decade, there has been a significant increase in driving-related fatalities in older drivers. Several factors influence an older adult’s ability to drive safely, including memory, executive functioning, processing speed, etc. Cognitive training (CT) has emerged as a potential intervention to sustain or enhance safe driving skills. Examples of these methods are computerized CT, simulation CT, and nontechnological CT. Given CT’s potential to improve driving related skills, this scoping review aimed to further understand its impact on older adults’ driving performance. The results from this systematic review highlight the need for further research on this topic.

Presenter(s): Devyn Aschenbach, Hailey Hubek, Amanda Pombar, Jianna Stucchi

Sponsoring Department: Doctor of Occupational Therapy

Mentor(s): Bonnie Decker, EdD, OTR/L, FAOTA

Presentation: 210

Title: Effects of Energy Conservation Techniques on COPD Clients: A Systematic Review

Abstract: This systematic review investigated how training in energy conservation techniques impacted people with chronic obstructive pulmonary disease. Experimental randomized controlled trials were collected from a variety of databases, including Google scholar, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and PubMed. PRISMA evidence and level of bias tables were completed. The outcome measures were divided into four categories: quality of life, physical activity, fatigue, and physiological dysfunction/dyspnea. Most studies found significant improvements in quality of life, fatigue levels, and dyspnea after energy conservation interventions. The poster highlights these results and shares implications for health professionals.

Presenter(s): Stephanie Aviles-Velazquez, Allison Zardus, Molly Stauffer, Alexandra Eyerly

Sponsoring Department: Doctor of Occupational Therapy

Mentor(s): Bonnie Decker, EdD, OTR/L, FAOTA

Presentation: 211

Title: Optimizing Functional Outcomes for Upper-Extremity Lymphedema Secondary to Post-Operative Breast Cancer: A Scoping Review

Abstract: There is currently a large body of research supporting the efficacy of lymphatic therapy intervention; however, a wide variety of approaches have led to a need to refine these methods to determine the most optimal intervention. This scoping review examined evidence-based interventions to optimize functional outcomes for women experiencing upper-extremity lymphedema secondary to breast cancer surgery, a common complication affecting over 20% of post-operative breast cancer patients. This review synthesizes findings from recent studies (published post-2015) on various treatment approaches to manage symptoms and improve daily function and emphasizes the role of occupational therapy within this context.

Presenter(s): Audrey Antolak, Jessica Lime, Kaylee Triplett

Sponsoring Department: Doctor of Occupational Therapy

Mentor(s): Bonnie Decker, EdD, OTR/L, FAOTA

Presentation: 212

Title: Perspectives of Occupational Therapists on Telehealth Use: A Mixed methods Study

Abstract: Telehealth, which does not require a healthcare professional’s direct contact, has become a common alternative to in-person care. However, the effectiveness of this method comes into question with occupational therapy which often requires physical contact with its clientele. While multiple research studies note unique benefits to telehealth, some obstacles may prevent its further use in the field such as effectiveness, applicability across interventions, and population access. This study investigated how occupational therapists perceive telehealth and the qualities that benefit telehealth practice.

Presenter(s): Halimatuz Shaby, Gabriella Perkins, William Barry, Payton Young, Madison Hoke

Sponsoring Department: Doctor of Occupational Therapy

Mentor(s): Bonnie Decker, EdD, OTR/L, FAOTA

Presentation:

213

Title: Perspectivies of People Experiencing Homelessness and Homelss Shelter Staff Regarding Contributing Factors to Homelessness

Abstract: This mixed-methods study used a mixed-method approach to examine the perspectives of people that were homeless living in a shelter compared to homeless shelter staff about factors contributing to homelessness. Individuals that were homeless participated in individual interviews to get the lived experience of being homeless. They also completed the World Health Organization’s Quality of Life Scale. Homeless shelter staff were individually interviewed about their perspectives on what contributed to homelessness. Themes for both the workers and the individuals that were homeless were identified and the results of the WHOQOL were analyzed. This poster will share these results.

Presenter(s): Amanda Pombar, Jessica Lime, Sophia Trozzo

Sponsoring Department: Doctor of Occupational Therapy

Mentor(s): Bonnie Decker, EdD, OTR/L, FAOTA

Presentation: 214

Title: Productivity and Ergonomics

Abstract: The impact that sitting ergonomics has on typing productivity within the workplace or classroom was examined in 5 participants. This study used a repeated-measures case study design, with working-aged adults completing a typing task in both a preferred and an ergonomically correct seated position that followed OSHA guidelines. Participants were obtained through convenience sampling of Gannon University’s faculty and students. The results did not show a significant difference between the ergonomic position versus the preferred position on typing productivity. Further research should be done to expand knowledge of the impact that proper sitting ergonomics has on occupational performance.

Presenter(s): Kristina Colleton, Elizabeth Cribb, Keyrra Mann

Sponsoring Department: Doctor of Occupational Therapy

Mentor(s): Bonnie Decker, EdD, OTR/L, FAOTA

Presentation: 215

Title: Sleep & Reported Academic Performance: A Quantitative Study

Abstract: Sleep is a restorative process essential for overall functioning and engagement in meaningful occupations. However, little is known about the impact of sleep on health science graduate students. Understanding how sleep and reported GPA are related is an essential first step to enhancing the graduate student’s ability to engage in academics. A correlation study was conducted to examine the relationship between perceived academic performance, sleep quantity, and sleep quality in graduate students at Gannon University - Ruskin. Data was collected through an online survey and analyzed using Pearson’s correlation. The results of this study will be disseminated at Celebrate Gannon.

Presenter(s): Allison Zardus, Stephanie Aviles-Velazquez, Hailey Hubek, Brooklin Webb

Sponsoring Department: Doctor of Occupational Therapy

Mentor(s): Bonnie Decker, EdD, OTR/L, FAOTA

Presentation: 216

Title: Sunlight Exposure, Mood, & Productivity in College Students: A Correlation Study

Abstract: This study examined the relationship between sunlight exposure, mood, and productivity among 139 full-time undergraduate and graduate students across the United States. Utilizing a quantitative, correlational research design, data was collected including demographics, the Mood and Feelings Questionnaire (MFQ) Short Version, and self-reported measures of productivity and sunlight exposure. Analysis revealed a significant negative correlation (Rs=–0.327, p<0.001) between the time spent outdoors and MFQ-Short scores, indicating that increased outdoor time is associated with improved mood. Additional findings and the implications of occupational therapy will be disseminated on the poster.

Presenter(s): Audrey Antolak, Alexandra Eyerly, Karissa Herrera

Sponsoring Department: Doctor of Occupational Therapy

Mentor(s): Bonnie Decker, EdD, OTR/L, FAOTA

Presentation: 217

Title: The Effects of Technology on Sleep in Graduate Students

Abstract: Technology has become a central part of daily life, impacting various occupations, including sleep, which is vital for overall functioning and participation in activities of daily living. There is existing research on the relationship between technology use and sleep, a notable gap remains in studies focused on the college-aged population. This study addressed this gap by correlating technology usage and sleep among college students. Using the Pittsburgh Sleep Quality Index and tracking technology use, the results found that poorer sleep quality was linked to shorter sleep duration, later bedtimes, and sleep latency. These findings align with existing literature.

Presenter(s): Devyn Aschenbach, Molly Stauffer, Kaylee Triplett, Jianna Stucchi

Sponsoring Department: Doctor of Occupational Therapy

Mentor(s): Bonnie Decker, EdD, OTR/L, FAOTA

Presentation: 218

Title: The Effects of Yoga on Quality of Life for Females with Breast Cancer

Abstract: This systematic review analyzes the impact of the application of yoga exercise on quality of life in females diagnosed with breast cancer. A literature review was conducted using four databases for yoga exercise on quality of life for people with breast cancer. The analysis of themes concluded that yoga was beneficial in improving quality of life, no aspects of yoga were isolated within the included studies, and that yoga was found to decrease anxiety and depression symptoms in individuals with breast cancer. The results suggest that yoga exercise intervention improves quality of life in individuals with breast cancer.

Presenter(s): Sophia Trozzo, Kristina Colleton, Karissa Herrera, Madison Hoke

Sponsoring Department: Doctor of Occupational Therapy

Mentor(s): Bonnie Decker, EdD, OTR/L, FAOTA

Presentation: 219

Title: The Impact of Gender on Mental Health in Adolescent Athletes

Abstract: This systematic review included two randomized controlled trials (RCTs), one cohort studies, and two cross-sectional studies to explore the relationship between exercise, concussions, and mental health in 13-18year-old athletes of both genders. Results showed a correlation between male and female adolescent athletes regarding various forms of mental health diagnoses in 3 studies. Mental health diagnoses prior to injury did not impact symptom recovery or severity, however, acquisition of mental health diagnoses following injury negatively impacted both recovery and severity. Females in both individual and team sports presented with more symptoms associated with mental health diagnoses. More research is needed.

Presenter(s): Lisa Ennis, Danielle Hambright, Connor Schockling

Sponsoring Department: Doctor of Physical Therapy

Mentor(s): Katie King, PT, DPT, NCS

Presentation: 220

Title: Artificial Intelligence in Speech-Language Pathology

Abstract: The use of artificial intelligence (AI) in speech-language pathology has expanded rapidly, highlighting the need for more research on its applications in assessment, intervention, and management. This literature review examined the development, current uses, benefits and challenges of AI in speech-language pathology. A literature search was conducted to identify relevant articles. Using the search terms ['artificial intelligence' OR 'AI' AND 'speech-language pathology' OR 'SLP'], 20 articles were identified. AI applications in speech-language pathology have shown promise in assisting clinicians with assessment and treatment of speech and language disorders. However, ethical considerations and precautionary policies must be addressed before widespread implementation.

Presenter(s): Samantha Flannelly, Bella Arthur, Andie Kendall, Caitlyn Kleintop, Kelly Murray

Sponsoring Department: Speech & Language Pathology

Mentor(s): Rita Lenhardt, DHSc, CCC-SLP

Presentation: 221

Title: Transcranial Direct Current Stimulation (tDCS) vs Traditional Language Treatment in Primary Progressive Aphasia

Abstract: Individuals with Primary Progressive Aphasia (PPA) experience progressive impairments in language, including difficulties with word retrieval, comprehension, and naming. Traditionally, language therapy has been the primary treatment for PPA. Transcranial direct current stimulation (tDCS) is a noninvasive brain stimulation technique that, when combined with language therapy, offers an alternative approach to improving language and communication in adults with PPA. This literature review evaluates the efficacy of combining tDCS with language therapy and explores its potential clinical applications in speech-language pathology.

Presenter(s): Hannah Schramm, Madison Morello, Autumn Olthoff, Gabriela Lopez

Sponsoring Department: Speech & Language Pathology

Mentor(s): Rita Lenhardt, DHSc, CCC-SLP

Presentation: 222

Title: Trauma-Informed Care (TIC) Education in Speech-Language Pathology Graduate Programs: A Literature Review

Abstract: Trauma-Informed Care (TIC) is widely recognized in healthcare but remains underexplored in Speech-Language Pathology (SLP). Given the impact of trauma on cognition, communication, and emotional regulation, integrating TIC into SLP practice is essential. This literature review examines the current application of TIC in the field, identifies gaps in education and training, and explores strategies for incorporation into SLP graduate programs. Using frameworks such as the Substance Abuse and Mental Health Services Administration’s (SAMHSA) TIC model, this review highlights the potential benefits of a trauma-informed approach in clinical practice. Findings suggest a need for further research and curricular development to ensure SLPs are prepared to provide sensitive, client-centered care.

Presenter(s): Salina Gilliss

Sponsoring Department: Speech & Language Pathology

Mentor(s): Rita Lenhardt, DHSc, CCC-SLP

Presentation: 223

Title: Ultrasound Biofeedback Versus Traditional Articulation Treatment Approaches for Speech Sound Disorders

Abstract: Speech-language pathologists (SLPs) use a variety of treatment techniques to address speech sound disorders in children. These disorders, including Childhood Apraxia of Speech (CAS) and Residual Speech Sound Disorders (RSSD), often require motor-based interventions that emphasize accurate articulatory movements. While multiple evidence-based motor treatment approaches exist, the most effective techniques remain unclear. Ultrasound biofeedback therapy provides real-time visualization of tongue movement and placement during speech production, offering a unique approach to treatment. This literature review examines the effectiveness of ultrasound biofeedback therapy compared to traditional treatment approaches in improving speech sound production in children with speech sound disorders.

Presenter(s): Thea Woolslare, Mia Lafond, Hanna Brosius, Grace McGuire

Sponsoring Department: Speech & Language Pathology

Mentor(s): Rita Lenhardt, DHSc, CCC-SLP

Presentation: 224

Title: Compensation Strategies in Adults with RTC Pathology: A Systematic Review

Abstract: This systematic review of four articles compared muscular compensation patterns using EMG measurements in adults 18-65 with rotator cuff (RTC) pathologies. Other shoulder pathologies were excluded. PEDro assessed the risk of bias. The research team analyzed each article, focusing on: Pathology, EMG Muscle Activation, Population Demographics, and Compensation Strategies. No statistically significant differences were found in the four articles when comparing muscle activation pre-op and 1-year post-op. Physical therapists are encouraged to take the time to understand the different muscles being activated in each RTC plane of movement, allowing for a more suitable treatment process for individual patients.

Presenter(s): Jeremy Chambers, Willie Adams, Katie Carver, Austin Wright

Sponsoring Department: Speech & Language Pathology

Mentor(s): Rita Lenhardt, DHSc, CCC-SLP