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Industrial and Management Systems Engineering

Issue 2 — April 2014

BSIEs Innovate Surgical Instruments Using Additive Manufacturing Page 4


Message from the IMSE Chair Dear Alumni, Friends, and Colleagues, Thank you for your attention to our newsletter. You will find many interesting updates about our students, alumni, and faculty. As the world of engineering evolves, we constantly endeavor to keep pace. One such area is Big Data and how we use it to make engineering decisions. Starting Fall of the 2013-14 academic year, we have implemented a new BSIE curriculum with Big Data training for our students. The new curriculum is enriched with a series of four new courses covering topics in programming, data bases, data visualization, and predictive and prescriptive modeling with big data. Our graduate students are also taking their interests in the newly introduced courses on Advanced Analytics through their participation in international big data challenges including the Kaggle competition. Our BSIE enrollment is on the rise and we are expecting to graduate ten PhD students in this academic year. Our students chapters of INFORMS and IIE, once again, won the top honors of Summa Cum Laude and Gold Award, respectively. IMSE faculty continues to seek new knowledge and innovate products/algorithms in the forefronts of: healthcare delivery; diagnosis of diseases including Alzheimer, diabetes, heart and pelvic organ diseases, and cancer; smartgrids and microgrids; pandemic outbreak mitigation; social network’s impact on innovation; and education. Papers and proposals resulting from their work continue to win spots in top rated peer reviewed journals in diverse fields and receive research grants from federal agencies, respectively. Our industry consortium (icIMSE) is growing in strength and we are looking forward to hosting the First Annual Meeting of the Industry Consortium for IMSE. On

April 2014

behalf of IMSE faculty, I sincerely appreciate the guidance of our advisory board in meeting the needs of our constituents. Our alumni have responded generously to our call to raise private funds. These funds enable us to engage in activities that are designed to further our student success. With a single generous endowment gift of over a quarter of a million dollars from an alumnus, we have launched a named lecture series. We hope to remain worthy for a share of your charitable dollars in years to come.

Most sincerely,

To donate to the IMSE Annual Fund, please go to the following website address: http://imse.eng.usf.edu/about/donate.asp

Tapas K. Das

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Editor

Liz Conrad

Writers Liz Conrad Janet Dawald Tapas Das Tom Edrington

Photography

Liz Conrad

Designed by

Ryan Wakefield


Big Data Analytics: Focus for the New BSIE Curriculum Starting 2013-14 By Tom Edrington

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nalytics is the science of synthesizing big data and extracting meaningful new knowledge, which can significantly enhance engineering decision making. The BSIE curriculum has always included tools for decision making, but with little emphasis on how the tools can be further empowered with knowledge of big data. The reform was instituted with a set of four new core courses that incorporate training on employing big data analytics in engineering decision making. “Through the 80’s there were jobs in manufacturing, supply chain logistics, and distribution for industrial engineering graduates, explained Tapas Das, professor and chair.” Today, most industrial engineers are involved in the areas of finance, medicine, health care, and logistics, all under the guise of big data analytics. These are all big data-driven fields that require datadriven models for decision making. “ “So how do we prepare our graduates to be leaders in the big data era?” Das asks. This needed a big change that doesn’t come easy, especially with undergraduate curriculums. “The curriculum change process began with input, a lot of input from program constituents and countless hours of discussion among the entire industrial engineering faculty. Everyone agreed that it is important to see where the future data-driven jobs are emerging and to make the curriculum more relevant to those emerging opportunities.” However, more courses on analytics couldn’t simply be added, as the state mandates a maximum of 128 credit hours for BSIE. “We had to take some courses out and combine some courses in order to make room for the new classes,” Das explained. This was a painstaking process requiring data gathering from IE departments across the nation and more debate among IMSE faculty.

committee, added that “a committee of IMSE professors with big data analytics knowledge and experience created a list of core competencies and with it designed a four course analytics sequence that could be seamlessly integrated into the existing BSIE curriculum.” Professor Kingsley Reeves shepherded the process of obtaining a series of approvals from the undergraduate council and the state. New curriculum can be seen at our website http://imse.eng.usf.edu/docs/BSIE%20 Flowchart%20Updated%204-23-13.pdf. Many academic leaders in the IE community who have visited the IMSE department in the recent months have commented that the new BSIE curriculum with analytics makes USF’s industrial engineering program one of the first in the nation to take on this challenge. “I think it is very forward looking for USF to include analytics in their IE undergraduate curriculum. The marriage of IE tools for optimization and simulation, and the knowledge of how to exploit ‘big data,’ will give USF IE’s a competitive advantage,” said Dr. Barry L. Nelson, Chair of IEMS at Northwestern.

Professor Ali Yalcin, who headed the curriculum

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BSIEs Innovate Surgical Instruments Using Additive Manufacturing By Janet Dawald To take a new idea from start to finish is one of the most rewarding and fulfilling activities in all of humanity. Just ask any student or faculty in the Industrial and Management Systems Engineering Department. A popular T-shirt in the department puts it this way: “Engineers make things; Industrial Engineers make things better. Students in Professor Lai-Yuen’s class not only live up to that boast, but graduate with the moxie to prove it: patents, research grants, cuttingedge technology, state-of-the-art collaborations with leading institutions and careers in industry, science and technology. But they also get a good dose of hands-on experience - a tradition that innovates, designs, builds, tests, modifies, and improves, until a useful, working product is created where none existed before.

projects involved collaboration with the Center for Advanced Medical Learning and Simulation (CAMLS) a USF Health unit. A new state-of-the-art facility dedicated to health professional education and training, CAMLS is pioneering a simulation approach to medicine, and is home to some of the most advanced medical machines and equipment in the country. Within CAMLS, the Tampa Bay Research & Innovation Center (TBRIC) specializes in a multidisciplinary approach to creating medical devices, from conceptualization to sales force and provider training. Basically, heaven on earth to engineering students interested in learning how to both improve existing medical devices and innovate new ones.

Projects started in Dr. Lai-Yuen’s class often continue through the engineering capstone design class. After that, who knows? USF has a unique system where students, professors and the university Susana Lai-Yuen is an associate can benefit from the patents that are the professor in industrial engineering and end result of the design and prototyping one of her areas of expertise is medical process. “It takes many years to actually device design. In her Manufacturing bring a medical device to market,” MorceShaver device Processes classes, students are actively she explains. “We take it from idea for tissue removal during Laparoscopic involved in making new tools for to prototyping, not final product. We surgery. physicians based not on theory, but show that the prototype works and U.S. Patent Pending upon observation of real surgeons can be manufactured economically.” 1372924PR2WO operating on real people in real In the meantime, the patent is filed hospitals. and prospective companies become interested in the prototypes. “It is exciting “They start by doing sketches, and from the beginning to see our students’ work progress to this stage. Then, I discuss with students their ideas and how they plan when a manufacturer sees the potential, well that is very on designing and manufacturing their products,” she exciting,” she adds, with a definite note of pride in her explains. “For example, instead of making a certain voice. component in this shape, how could they make it in another shape which still works, but is easier to Three BSIE students in recent years have been working on manufacture.” The students incorporate many ideas a laparoscopic device to help surgeons remove uterine from their engineering curriculum into their designs tissue when performing hysterectomies. Erik Esinhart, by considering human factors, ergonomics, and Adam Lytle and Daniel Kamsler are collaborating manufacturing economics, for example. with Stuart Hart, MD, director of TBRIC at CAMLS. Dr. Hart is a gynecological surgeon at Tampa General Many of the recent student Hospital. Along with Mario Simoes, who received his master’s degree in mechanical engineering from USF,

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the group is working on an improved morcellator. A surgical instrument that is used to remove large masses of tissue in laparoscopic surgery, current morcellator models have cutting jaws and grasp tissue with claws, which is drawn up into a cylinder by the surgeon. The exposed blades can potentially damage the intestines and other vital organs and tissue. A rather unnerving device all around, the morcellator is limited in size and requires repetitive hand motions by the surgeons. In surgeries that can last many hours, fatigue and hand strain can lead to increased risk of injury for the patient. The existing models can also become dull during the surgery, and multiple morcellators can be necessary.

BSIE Students Daniel Kamsler, Erik Esinhart and Adam Lytle display their award for the 2013 State of Florida Healthcare Innovation Competition

The USF team has invented the “MorceShaver” after doing a thorough study of its use and drawbacks. It is also the result of an interdisciplinary approach to design. Rather than going through a small laparoscopic incision in the abdomen, the improved model is used through the vagina. A larger diameter is then possible, and two spiral cutting inward blades cut the tissue, instead of grasping at it. The tissue is then transported up the cylinder by an auger - a large screw contained within a cylinder that can safely evacuate the tissue. No more forceps necessary to pull tissue through the device. They even added a safety tip that does not allow the device to come in contact with vital organs, and a retractable cover when the device is not in motion. Only one MorceShaver is needed per operation, saving money and sterilization costs. It is also one of the few medical devices in recent history designed for women’s surgical needs. Designed specifically for the new field of minimally invasive surgery markets, the MorceShaver is radically different than the original morcellator concept. The team is positive that its unique design will capture a good market share. The team filed a patent in July of 2013.

Buckhorn. Eisenhart explained the process of combining engineering with medicine to develop the product at CAMLS, and how their idea went from hand drawings in a class to the prototype device. “We listened to the doctors’ voice to create the actual product, and made it safer, more efficient and ergonomic,” explained Esinhart. Mayor Buckhorn commented on the team’s invention and the fostering of innovative ideas by USF, “This is amazing stuff and this is exactly the kind of thing we are talking about – upwards of 400 million dollars in research that takes place at USF and finding a way to move it from the petri dish out to the marketplace.” “Currently, there are already two medical device companies interested in this device,” explains Professor Lai-Yuen. “Every year is a different program and device, and this year specialized in laparoscopic surgery and hysterectomies.” Next year a new team of students, doctors, and professors will start a new idea. And like any good industrial engineer, they will make it better.

One of the team members, Erik Esinhart, was recently featured on a special CAMLS segment of the CTTV show, The Mayor’s Hour with Tampa Mayor Bob

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Very First MSEM Graduate now President of Tampa Electric By Tom Edrington Gordon Gillette President of Tampa Electric

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ordon Gillette is one of the most influential executives in the Tampa Bay area. As President of Tampa Electric Company (TECO) and Peoples Gas, he represents the College of Engineering at University of South Florida as one of its most accomplished graduates. In addition to his corporate leadership role at TECO, he serves on the board for three non-profit organizations, including being the immediate past-chair of the USF Foundation. Gillette received his bachelor’s degree in Mechanical Engineering from USF in 1981. He then entered the inaugural class of the Master of Science in Engineering Management (MSEM) program offered by Industrial Engineering. He completed his MSEM degree in 1985 as one of the very first graduates of the program. He worked his way from the company’s power plants into the board

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room. His has been an ongoing story of success, achievement, and engagement with his alma mater, as he proudly co-chairs USF’s Billion Dollar Capital Campaign. The campaign carries the name “Unstoppable,” which also is a good description of Gillette’s career at Tampa Electric. Despite his unrelenting schedule, Gordon welcomed us to his office recently to answer a few questions about his career path, and share with us some of the knowledge he has garnered over the past 33 years. How has your undergraduate degree and MS in Engineering Management helped you succeed in your career to the level you are today? “Everyone is different. The long and short of it is that I had professors at USF who could read me better than I could read myself. Fortunately, I listened to them. They saw that in addition to the strictly technical

aspects of engineering, I had other interests. I didn’t mind writing, public speaking, communicating with people. All of those interests guided me to choose the MSEM program, and helped me to transform those interests into skills that helped me a great deal in my managerial roles. “The MSEM degree does a great job of combining industrial engineering analytical tools, both qualitative and quantitative, with business management. It combines analysis with business practices, and for me it was perfect for the long run. “One key thing is that you never stop learning and growing in your career. A few years back, TECO sent me to an eight week advanced management program at Harvard University. It was incredibly intense. You go through three case studies a day, Monday through Saturday, and on Sunday, you spend your time reading. I really, really enjoyed it. Not long after that, I returned to


USF to take graduate courses for a PhD in Industrial Engineering. My goal is to complete the graduate IE core courses. They are not easy. But I’ve tried to use my time wisely, so I could find time to take on this new challenge.” What advice could you share with students who have either completed a bachelor’s in engineering or are in their senior year and thinking about going for an advanced degree? How do you see an MSEM benefiting engineers in the current professional environment? “First of all, if you have a window of opportunity, get back to school as quickly as you can and decide what direction you want to go. A lot of people know that as you get toward graduation and into the first part of your career, the clock is ticking, because family and community obligations will only get bigger. I knew it was important to get it (MSEM) fairly early. The engineering management degree was perfectly suited for what I was doing at TECO. They [TECO] had a tuition refund program, so I started out taking one course a semester while I was working. Once I started working on it (MSEM), I got the bug to get it done and finished up in three years. If you find a company that has that sort of program, take advantage of it. “It definitely helps to have an advanced degree if you are going into management. It’s not easy to work at your job all day and then pursue a graduate degree in the evening, but the benefits make it well worth the time spent.”

What do you think are some specific areas of knowledge that engineering managers could benefit from in the context of current technology and success measures in the industry? “There is a lot of modeling involved in the engineering profession today and the MSEM program helps prepare you for that. I know the program has evolved over the years and now includes more courses in analytics and quality, for example, and that is certainly in response to market demands. It’s also good to get some finance background. I think engineers are well suited to the finance area. A lot of the problem solving that engineers are trained to do is applicable to the financial world. “When I became CFO at TECO in 1998, I was definitely jumping into the deep end, but as I got involved with investment bankers, I found a lot of them had engineering backgrounds.” You are very involved in the community, including your support for USF in various capacities over the years. How should students engage themselves with the community as one of the ways to prepare themselves for their careers? “All students have competing demands on their time. They have the academic load and a lot of them work as well. It’s worth taking time as a student to take some action in the USF community as a start. I look back with a little bit of regret because

you discover that you have more time than you think you do. If you can get involved in something at USF, it can also become a social outlet and you meet people other than those you work with and study with every day.” Gillette is also working on a personal project that will benefit USF’s engineering students. He and wife Paula have created two endowed scholarships for undergraduates and two for deserving graduate students. As he looks back and remembers his time at USF, Gillette described it as “the perfect place.” “From the beginning, I enjoyed math and science. I’ve probably used engineering economics as much as any course I ever took,” he remembers, but pointed out that he did not come from a family with any engineers in the house. “The closest person was my uncle, Lee Smith,” he recalled. “He is a geologist and worked in the oil industry.” “When I went into engineering, I struggled with what specific discipline I should choose. My uncle told me to pick a discipline that is as general as possible and get exposure to as many other disciplines as possible. It helped me get on track for my career. “Get as much exposure in as many disciplines as possible - best advice I ever received.”

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National Science Foundation Grant for Dr. Hui Yang “Physical-Statistical Modeling and Optimization of Cardiovascular System”

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n collaboration with Dr. Eric Bennett (USF College of Medicine, Molecular Pharmacology and Physiology) and Dr. Roshan J. Vengazhiyil (Industrial and Systems Engineering, GA Institute of Technology), Dr. Hui Yang is aiming to develop physical-statistical models of cardiovascular systems for optimizing medical decision making in spatiotemporal disease processes. Multiscale computer models will improve the understanding of disease-altered cardiac electrical dynamics. The modeling will be done in multiple physical levels starting with ion channels, then cells, then tissues, and finally an anatomically realistic heart. Physics-based models will be statistically calibrated and adjusted so as to make more realistic predictions. Dr. Yang will also develop an easy-to-evaluate statistical surrogate model for faster approximation, prediction and optimization, thereby facilitating real-time medical decision making. Physical-statistical models will be used in conjunction with sensor-based data fusion to optimize cardiovascular diagnostics. The simulation-based optimization approach provides a unique opportunity to search the optimal medical decisions with the “virtual” heart, as opposed to traditional “experience-based”, “trial-and-error” or subjective decisions in the real-world heart.

The results of this research will yield a fundamental understanding of the progression of cardiac diseases that is so vitally needed to improve preventive healthcare services. This research has the potential to make a paradigm shift in healthcare, i.e., from reactive care to preventive and proactive care, from experience-based to evidence-based cardiac care services. The early identification of cardiovascular diseases will decrease mortality rates, promote the timely delivery of life-saving interventions, and reduce healthcare cost (e.g., preventive care in lieu of expensive surgical interventions). Dr. Yang’s work will positively impact cardiovascular patients, the largest population at risk of death in the US and in the world. Dr. Yang also is working as a CO-PI on a second NSF grant with Dr. Eric Bennett entitled, “Regulated Sialylation Modulates Cardiac Excitability and Conduction.” This $1M grant focuses on the electrical signaling and ion channel activity in the heart and its relationship to sugar groups called glycans. Their research on this dynamic topic will continue through April of 2016.

Drs. Eric Bennett and Hui Yang corroborate on understanding cardiac activity through analytic modeling and simulation.

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Automating Pelvic Organ Prolapse (POP) Diagnosis using MRI

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elvic Organ Prolapse (POP) is one of the major health problems for women over 50 years of age. It occurs when pelvic organs drop from their normal position in the pelvis. More than 50% of women in this age category suffer from POP complications such as incontinence, vaginal pain, and urinary problems. These issues are caused by vaginal childbirth, menopause, pelvic muscles weakened by age, smoking and obesity. Clinical examination, which is currently considered the gold standard for assessing POP, is inadequate and in disagreement with surgical findings. Recently, dynamic magnetic resonance imaging (MRI) has become popular in assessing POP cases that may not be evident on clinical examination. Unfortunately, POP diagnosis on MRI is currently performed manually making it both time-consuming Dr. Susana Lai-Yuen and PhD candidate Sinan Onal and subjective. The good news is that research by Dr. Susana Lai-Yuen and her Ph.D. student Sinan Onal shows an exciting and promising solution for reliable and accurate diagnosis. In collaboration with faculty colleagues from the USF College of Medicine and the Division of Information Technology, Dr. Lai-Yuen and her team aim to automate the POP diagnosis process on MRI using machine learning techniques that will enable fast and accurate identification of the reference points used for assessing POP. They developed a multi-stage method based on texture-based block classification and K-means clustering to segment pelvic bone structures on MRI. Through this approach, reference points can be automatically identified to generate the reference lines needed to evaluate POP. This research will enable the automated and effective extraction of MRI-based features for their correlation with clinical outcomes to improve the diagnosis of pelvic organ prolapse. Automating the process of pelvic floor measurements on radiologic studies will allow the use of imaging to predict the development of POP in predisposed patients, and possibly lead to preventive strategies. Dr. Lai-Yuen’s research with her graduate students on automating pelvic organ prolapse diagnosis is one more way that IE’s make things better in the world of healthcare.

Pelvic structures on MRI

Pelvic floor reference points

Generated image-based features

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INFORMS Student Chapter had Another Banner Year Together with faculty, IE students delivered more than 25 presentations and chaired 10 sessions in the 2013 INFORMS Annual Meeting in Minneapolis, MN. The chapter was honored to receive the Summa Cum Laude award from INFORMS, recognizing the achievements of the student chapter in the promotion of Operations Research and Management Sciences. In addition, the 2012-2013 chapter president and PhD student, Monica Puertas, (5th from the left in the photo) was awarded the prestigious Judith Liebman Award at the INFORMS 2013 Annual Meeting. The award is presented to chapter leaders who have pushed their chapters to achieve extraordinary performance and to engage with the local and university communities. Monica served on the chapter committee from 2010 through 2013.

Breast Cancer Researcher Wins Poster Competitions at INFORMS Mehrnaz Abdollahian, an IMSE Ph.D. student took top honors at the INFORMS Annual Conference poster competition for her poster entitled, “A MDP Model for Breast and Ovarian Cancer Intervention Strategies for BRCA1/2 Mutation Carriers”. Mehrnaz competed against 16 semifinalists at the Interactive Sessions Competition in Minneapolis, MN Annual meeting in the fall. Her poster exhibits her research in decision models for breast and ovarian cancer treatment for the past two years guided by Dr. Tapas Das, IMSE Professor and Chair and Rebecca Sutphen, MD of USF Health’s Department of Genetics.

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Tapas Das and Mehrnaz Abdollahian


IMSE Student Awards IE PhD student wins 1st Place at the Power Up Energy Expo PhD student Felipe Feijoo won first place in the student poster competition at the Power Up Energy EXPO held at Fort Walton Beach, FL in March of 2013. His poster entitled “Pareto Optimal Design for CO2 Cap and Trade Policies in Deregulated Electricity Networks” displayed his research in optimization that he has been working on with Dr. Tapas K. Das. This research has recently been published in the Applied Energy Journal. Felipe Feijo

IE Senior wins top spot in IEEE International Poster Competition Jasper Quach, BSIE ‘2013, and now PhD student in the Industrial and Management Systems Department won first place in the 2013 IEEE Power and Energy Society General Meeting, held in Vancouver, Canada in July. The conference hosted more than 190 students from all over the globe in the poster competition. Jasper’s poster, entitled, “A Hybrid Maintenance Scheduling Model for Thermal Generators” was the culmination of an eight month project he has been working on under the supervision of his advisor, Dr. Bo Zeng.

Jasper Quach

IIE Best Student Paper Award for PhD student Gang Liu PhD Student, Gang Liu received the Computer & Information Systems (CIS) Division Best Student Paper Award at the IIE Annual Conference & Expo 2014. His paper was entitled: Selforganized Recurrence Networks. He will be presented with the award in at the IIE conference in Montreal, Quebec Canada at the Honors & Awards Banquet on June 2, 2014. Gang Liu

Senior Awarded MHEFI Scholarship Katrina Stine, a senior in the IMSE Department, is the winner of a 2013-2014 Material Handling Education Foundation, Inc. (MHEFI) Scholarship. She was awarded the Automatic Guided Vehicle Systems Honor Scholarship, which was one of only 40 scholarships awarded for the 2013-2014 academic year totaling more than $135,000. Katrina Stine

Faculty Awards Congratulations to Dr. Grisselle Centeno and Dr. Susana K. Lai-Yuen who were awarded a two-year grant from the National Science Foundation for support of their project entitled “Increasing Diversity in Engineering Education Through Healthcare Applications” Dr. Shuai Huang and his co-authors received the Best Paper award in the IIE Transactions on Quality and Reliability Engineering for 2014 for their paper entitled, “A Transfer Learning Approach for Network Modeling,” to be published in IIE Transactions. Dr. Huang and his team will be recognized at the Honors and Awards Banquet during the ISERC to be held in Montreal, Canada May 31 - June 3, 2014.

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Ten Doctoral Students Earn PhD Degrees in 2013 - 2014 Dissertation Topic:

Dissertation Topic:

Classification Models in Clinical Decision Making

The Impact of Organization’s Collaboration Strategies and Alliance Network Positions on Intervention Performance

Eleazar Gil Herrera

Long Zhao

Oguz Cimenler

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Major Advisor: Dr. Kingsley Reeves

Dissertation Topic:

Novel Models and Algorithms for Uncertainty Management in Power Systems

Statistical and Prognostic Modeling of Clinical Outcomes with Complex Physiologic Data in Intensive Care Unit Patients

Major Advisor: Dr. Bo Zeng

Major Advisor: Dr. Jose Zayas-Castro

Monica Puertas

Dissertation Topic:

Dissertation Topic:

Antiviral Resistance and Dynamic Treatment and Chemoprophylaxis of Pandemic Influenza

Automated Localization and Segmentation

Major Advisor: Dr. Alex Savachkin

of Pelvic Floor Structures on MRI for Pelvic Organ Prolapse Diagnosis •

Major Advisor: Dr. Susana Lai-Yuen

Sinan Onal

Dissertation Topic:

Dissertation Topic:

Novel Models and Efficient Algorithms for Network-based Biomarker Identification

A Patient-Centered Decision Model for

Sayed Javad Sajjadi

Fethullah Caliskan

Dissertation Topic:

Sandro Paz

Major Advisor: Dr. Ali Yalcin

Major Advisor: Dr. Bo Zeng

Rectal Cancer Patients •

Major Advisor: Dr. Grisselle Centeno

Florentino Rico-Fontalvo

Dissertation Topic:

Disseration Topic:

Social Network Analysis of Researchers’ Communication and Collaborative Networks Using Their Self-reported Data

Reliable Design and Operations of Infrastructure Systems

Major Advisor: Dr. Kingsley Reeves

Yu An

Major Advisor: Dr. Bo Zheng


IIE Student Chapter Wins Gold Award Two Years in a Row IIE Student Chapter Vice President, Johana Munoz (right), and President Geraldine Serrano (left) proudly display the 2013 Gold Award received for the many accomplishments and events hosted by the USF Student Chapter of the Institute of Industrial Engineers.

Selected Recent Faculty Publications Prieto, D. and Das, T. K. 2014. An Operational Epidemiological Model for Calibrating Agent-based Simulations of Pandemic Outbreaks. Health Care Management Science, in press Feijoo, F. and Das, T. K. 2014. Design of Pareto Optimal CO2 Cap-and-Trade Policies for Deregulated Electricity Networks. Applied Energy, Volume 119, 15 April, Pages 371–383. DOI: http://dx.doi.org/10.1016/j.apenergy.2014.01.019 Huang, S., Li, J., Lamb, G., Schmitt, M., and Fowler, J., 2014. Multi-data Fusion for Enterprise Quality Improvement by a Multilevel Latent Response Model, IIE Transactions, in press Huang, S., Kong, Z.Y. and Huang, W.Z., 2014, High-Dimensional Process Monitoring and Change Point Detection Using Embedding Distributions in Reproducing Kernel Hilbert Space (RKHS), IIE Transactions, in press Yampikulsakul, N., Byon, E., Huang, S. and Sheng, S.W., 2014, Condition Monitoring of Wind Power System with Non-Parametric Regression Analysis, IEEE Transactions on Energy Conversion, in press. Onal, S., Lai-Yuen, S., Bao, P., Weitzenfeld, A., and Hart, S., 2014. “MRI based Segmentation of Pelvic Bone for Evaluation of Pelvic Organ Prolapse,” IEEE Journal of Biomedical and Health Informatics, in press Onal, S., Lai-Yuen, S., Bao, P., Weitzenfeld, A., Green, K., Kedar, R., and Hart, S., 2014. “Assessment of a Semi-Automated Pelvic Floor Measurement Model for the Evaluation of Pelvic Organ Prolapse,” International Urogynecology Journal, in press Onal, S., Lai-Yuen, S., Bao, P., Weitzenfeld, A., and Hart, S., 2013.“Image based Measurements for Evaluation of Pelvic Organ Prolapse,” Journal of Biomedical Science and Engineering, 6(1), pp. 45-55. Li Q. and Savachkin A., 2013. A heuristic approach to the design of fortified distribution networks, Transportation Research part E, 50, 138-148 Li Q. and Savachkin A., 2014. Reliable distribution networks design with nonlinear fortification function. International Journal of Systems Science, in press Yang, H. and G. Liu†, 2013. Self-organized topology of recurrence-based complex networks, Chaos, Vol. 23, No. 4, p043116, DOI: 10.1063/1.4829877 Continued on Page 14

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Yang, H., C. Kan, G. Liu, and Y. Chen, 2013. Spatiotemporal differentiation of myocardial infarctions, IEEE Transactions on Automation Science and Engineering, Vol. 10, No. 4, p938-947, DOI: 10.1109/TASE.2013.2263497 Du, D., H. Yang, S. Norring, and E. Bennett, 2013. In-silico modeling of glycosylation modulation dynamics in hERG channels and cardiac electrical signaling, IEEE Journal of Biomedical and Health Informatics (Feature in IEEE journal website), Vol. 18, No. 1, p205-214, DOI: 10.1109/JBHI.2013.2260864 G. Liu† and H. Yang, 2013. Multiscale adaptive basis function modeling of spatiotemporal cardiac electrical signals, IEEE Journal of Biomedical and Health Informatics, Vol. 17, No. 2, p484-492, DOI: 10.1109/JBHI.2013.2243842 C. Kan, K.P. Yip, and H. Yang, 2014. “Two-phase greedy pursuit algorithm for automatic detection and characterization of transient calcium signaling.” IEEE Journal of Biomedical and Health Informatics, accepted and in press, DOI: 10.1109/JBHI.2014.2312293 S. Norring, T. Schwetz, A. Ednie, D. Du, H. Yang, and E. Bennett, 2013. Channel Sialic Acids Limit hERG Channel Activity During the Ventricular Action Potential, FASEB Journal, Vol. 27, No. 2, p622-631, DOI: 10.1096/fj.12-214387 Zeng, B., H. Zhao, and M. Lawley, 2013.Primary-Care Clinic Overbooking and Its Impact on Patient No-shows. IIE Transactions on Healthcare Systems Engineering, in press (featured in IIE Magazine) Zeng, B. and L. Zhao, 2013. Solving Two-stage Robust Optimization Problems by A Column-and-Constraint Generation Method, Operations Research Letters, Vol. 41, 457-461, 2013 Zhao L. and B. Zeng, 2013. Vulnerability Analysis of Power Grids with Line Switching, IEEE Transactions on Power Systems, Vol. 28, 2727-2736 Y. Wei, L. Zhao and B. Zeng, 2013. Optimal Power Grid Protection through A Defender Attacker-Defender Model, Reliability Engineering and System Safety, Vol. 121, 83 – 89

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Industrial and Management Systems Engineering

Del and Beth Kimbler Lecture

Series

Supported by the Del and Beth Kimbler Endowment Fund Dr. Del Kimbler is an alumnus of University of South Florida’s College of Engineering, where he graduated with distinction with a BS in Industrial Engineering in 1976. He received his master’s degree in 1978 and his doctorate in 1980 in Industrial Engineering and Operations Research from Virginia Tech. From 1980-1986 he was a faculty member in the Industrial and Management Systems Engineering Department at USF and is now a professor emeritus at Clemson University where he served as Chair of the Industrial Engineering Department from 1995-2000. He has published extensively in the areas of human factors, ergonomics, safety, and work design processes. Dr. Kimbler is a Fellow of the Institute of Industrial Engineers, and is listed in Who’s Who in America, Who’s Who in Technology, and Who’s Who in Science and Engineering. In addition to his numerous contributions in the field of engineering, Dr. Kimbler is an accomplished and published photographer. He has participated in juried shows throughout the Southeast as well as exhibitions in Belgium and China. 15


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