RUTGERS - Key Persons


Barthi Ponnuraj

Job Titles:
  • Department Administrator

David W. Coit

Job Titles:
  • Professor
David W. Coit's research interests are in the areas of system reliability modeling and optimization, power systems reliability, and multiple-objective optimization. He has been funded for his research from the NSF, U.S. Navy, U.S. Army, power utilities and industry. Supported by NSF grants, he developed system reliability models and algorithms to determine optimal system design configurations considering degradation and reliability estimation uncertainty. Working under a grant from a power utility, Prof. Coit and his students developed reliability importance metrics and optimal transformer replacement policies. He also previously worked for more than ten years at IIT Research Institute (IITRI), Rome, NY (now called Alion Science and Technology) where he designed and implemented reliability programs, developed reliability prediction models and conducted reliability analyses. Prof. Coit has received recognition for his research. In 1999, he was awarded an NSF CAREER grant to research system reliability design optimization with incomplete or uncertain component reliability estimation. In 2001, he was awarded the P.K McElroy award for best paper at the annual Reliability and Maintainability Symposium (RAMS) conference. In 2003, he was awarded the A. J. Golomski award for the best paper at RAMS by an IIE member, and in 2009, he was awarded the A. O. Plait award for the best tutorial at RAMS.

Dr. Ahmed Aziz Ezzat

Job Titles:
  • Assistant Professor
  • Assistant Professor of Industrial & Systems
Dr. Ahmed Aziz Ezzat is an Assistant Professor of Industrial & Systems Engineering at Rutgers University, where he leads the Renewables & Industrial Analytics (RIA) research group [RIA Research Group]. Before joining Rutgers, Dr. Aziz Ezzat received his Ph.D. from Texas A&M University in 2019, and his B.Sc. degree from Alexandria, Egypt, in 2013, both in Industrial Engineering. His research interests are in the areas of data and decision sciences, energy forecasting, maintenance optimization, and their applications to renewable energy and industrial systems. Dr. Aziz Ezzat is the recipient of the A. Walter Tyson Assistant Professorship award from Rutgers University, the 2022 IISE Data Analytics Teaching Award, The 2020 IIF-SAS® research award, the 2020 Rutgers OAT Teaching Award, and the 2014 IISE Sierleja Fellowship. He currently serves as the 2023-2024 president of the IISE Energy Systems Division. His research has been supported by several external and internal grants from the National Science Foundation (NSF), The Department of Energy (DOE) and National Offshore Wind Research and Development Consortium (NOWRDC), The NJ Economic Development Authority, The Rutgers-Provost Chancellor Office, and industry. He is a member of INFORMS, IEEE-PES, and IISE.

Dr. Myong K. (MK) Jeong

Job Titles:
  • Graduate Director
  • Professor and Graduate Director
  • Professor and Graduate Program Director
  • Professor in the Department of Industrial and Systems
Dr. Myong K. (MK) Jeong is a professor in the Department of Industrial and Systems Engineering and the Rutgers Center for Operations Research at Rutgers University. He received his BS in Industrial Engineering from Han Yang University, Seoul, Korea, in 1991, MS in Industrial Engineering from Korea Advanced Institute of Science and Technology, Taejon, Korea, in 1993, MS in Statistics from Georgia Institute of Technology, Atlanta, Georgia, in 2002, and Ph.D. in Industrial and Systems Engineering from Georgia Institute of Technology, Atlanta, Georgia, in 2004. He was formerly an Assistant Professor in the Department of Industrial and Information Engineering, the University of Tennessee, Knoxville. He worked as a senior researcher from 1993 to 1999 at the Electronics and Telecommunications Research Institute (ETRI). He has focused on developing data mining techniques, process monitoring and control procedures, and optimization techniques for machine learning. The applications include various industries such as gas/oil, semiconductor, transportation, bio-energy, computing, electronics, and automobile. He has published over 60 journal papers including Technometrics, IEEE Transaction on Semiconductor Manufacturing, IEEE Transactions on Systems, Man, Cybernetics, Pattern Recognition Letters, and IIE Transaction on Quality and Reliability. He received the Freund International Scholarship and the National Science Foundation (NSF) CAREER Award in 2002 and in 2007, respectively. His research has been supported by the National Science Foundation, National Transportation Research Center, United States Department of Agriculture, Qatar National Research Fund, Electronics and Telecommunications Research Institute, and various industries. He has been a consultant for Samsung Electronics, ETRI, KISTI, and other companies. He is an associate editor of the IEEE Transactions on Automation Science and Engineering, International Journal of Quality, Statistics and Reliability, and Advisory Board Member of International Journal of Advanced Manufacturing Technology. He is a senior member of IEEE.

Elin M. Wicks

Job Titles:
  • Assistant Teaching Professor and Undergraduate Director

Elin Wick

Job Titles:
  • Assistant Professor and Undergraduate Director

Elsayed A. Elsayed

Job Titles:
  • Distinguished Professor
E. A. Elsayed is distinguished professor in the Department of Industrial and Systems Engineering, Rutgers University. He is also the Director of the NSF/ Industry/ University Co-operative Research Center for Quality and Reliability Engineering. His research interests are in the areas of quality and reliability engineering and Production Planning and Control. He is a co-author of Quality Engineering in Production Systems, McGraw Hill Book Company, 1989. He is also the author of Reliability Engineering, Addison-Wesley, 1996. These two books received the 1990 and 1997 IIE Joint Publishers Book-of-the-Year Award respectively. His recent book Reliability Engineering 2nd Edition, Wiley, 2012 received the 2013 Outstanding IIE Publication. Dr. Elsayed is also a co-author of Analysis and Control of Production Systems, Prentice-Hall, 2nd Edition, 1994. His research has been funded by the DoD, FAA, NSF and industry. Dr. Elsayed has been a consultant for AT&T Bell Laboratories, Ingersoll-Rand, Johnson & Johnson, Personal Products, AT&T Communications, BellCore and other companies. He served as the Editor-in-Chief of the IIE Transactions and the Editor of the IIE Transactions on Quality and Reliability Engineering. He is Editor-in-Chief of Quality Technology and Quality Management. Dr. Elsayed is also the Editor of the International Journal of Reliability, Quality and Safety Engineering. He serves on the editorial boards of eight journals in different capacities. He served an external evaluator for many undergraduate and graduate programs. Dr. Elsayed is a frequent keynote speakers in National and International Conferences and is the recipient of many awards including Golomski Award for the outstanding paper, William Mong Distinguished Lecturers Award, David F. Baker Research Award of the Institute of Industrial Engineers for Research Contributions to the discipline of Industrial Engineering, inducted member of the Russian Academy for Quality, IIE (Institute of Industrial Engineers) Fellow Award, ASME Fellow, Senior Fulbright Award and the Recipient of 2011 Thomas Alva Edison Award for U.S. Patent 7,115,089 B2.

Farzad Yousefian

Job Titles:
  • Assistant Professor
  • Assistant Professor in the Department of Industrial and Systems
Farzad Yousefian is an assistant professor in the Department of Industrial and Systems Engineering at Rutgers University-New Brunswick. Prior to joining Rutgers, he was an assistant professor from 2015 to 2021 and a tenured associate professor from 2021 to 2022 at Oklahoma State University (OSU). Prior to that, he was a postdoctoral researcher at Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at the Pennsylvania State University from 2014 to 2015. He received his Ph.D. in Industrial Engineering from the University of Illinois at Urbana-Champaign in 2013. He obtained his B.Sc. and M.Sc. degrees in Industrial Engineering from Sharif University of Technology in 2006 and 2008, respectively. His research interest lies in distributed optimization in multi-agent networks, stochastic and large-scale optimization, nonconvex optimization, hierarchical optimization, variational inequalities, computational game theory, and applications in machine learning and transportation systems. His research has been funded by the National Science Foundation (NSF) Faculty Early Career Development (CAREER) award, the Office of Naval Research (ONR), and the Department of Energy (DOE). He is a recipient (jointly with his co-authors) of the Best Theoretical Paper award at the 2013 Winter Simulation Conference (WSC). His teaching has been recognized through the 2020 OSU College of Engineering, Architecture, and Technology Excellent Teacher Award. He is an active member of Society for Industrial and Applied Mathematics (SIAM), Mathematical Optimization Society (MOS), Institute of Electrical and Electronics Engineers (IEEE), and Institute for Operations Research and the Management Sciences (INFORMS).

Hoang Pham

Job Titles:
  • Distinguished Professor
  • Distinguished Professor and Former Chair
Hoang Pham is a distinguished professor and former Chair (2007-2013) of the Department of Industrial and Systems Engineering at Rutgers University. He is also a co-founding member and an associate director of the Rutgers Center for Information Assurance. Before joining Rutgers, he was a Senior Engineering Specialist with the Idaho National Engineering Laboratory and Boeing Company, Seattle. His research areas include reliability modeling and prediction, software reliability, and statistical inference. He is editor-in-chief of the International Journal of Reliability, Quality and Safety Engineering and editor of Springer Series in Reliability Engineering and has been conference chair and program chair of over 40 international conferences and workshops. Dr. Pham is the author or coauthor of 7 books and has published over 200 journal articles and edited 20 books including Springer Handbook in Engineering Statistics and Handbook in Reliability Engineering. He has delivered over 40 invited keynote and plenary speeches at many international conferences and institutions. His numerous awards include the 2009 IEEE Reliability Society Engineer of the Year Award. He is a Fellow of the IEEE, AAIA, and IISE.

Laura Kasica

Job Titles:
  • Administrative Assistant
  • Adminstrative Assistant

Max Powers

Job Titles:
  • Lab Facilities Specialist

Melike Baykal-Gürsoy

Job Titles:
  • Director of the Laboratory for Stochastic Systems
  • Investigator of an Award With
  • Professor
Dr. Baykal-Gürsoy is the principle investigator of an award with Rutgers portion totaling $210,000 from the National Science Foundation. This NSF grant will fund a collaborative research project -entitled, "Collaborative Research: Network Protection under Uncertainty"-which will employ integrated modeling and game theory to improve the security of populations under threat.

Mohsen A. Jafari

Job Titles:
  • Department Chair
  • Professor and Chair
  • Professor and Chair of the Department of Industrial and Systems
  • Professor and Department Chair
Mohsen A. Jafari is a professor and chair of the Department of Industrial and Systems Engineering, Rutgers School of Engineering, a principal at the Rutgers Center for Advanced Infrastructure and Transportation (CAIT) and founder of the Laboratory for Energy Smart Systems (LESS). Since 2006, Professor Jafari's research focus has been on control and optimization of energy systems with applications in Distributed Energy Resources, smart connected buildings, Demand Side Management, and Electrical Vehicles. Jafari has also been active in research concerning transportation safety and mobility since 2005. Prior to 2005, Professor Jafari's research focused on additive manufacturing of ceramic actuators and sensors, and intelligent manufacturing in food and pharmaceutical applications. He is one of the pioneers in architecting and building the first multi-material Solid Free Form (SFF) fabrication system with online image-based process control sponsored by the ONR-MURI program. Overall, Professor Jafari has been Principal and Co-principal Investigator to over $23M R&D funding from the US and international government agencies, and industry. Professor Jafari's work has led to 120 refereed publications and patents. He actively collaborates with universities and national labs in the US and abroad and has advised twenty three Ph.D. theses, and nine post-doctoral and research fellows. Presently, Professor Jafari is advising an additional four Ph.D. theses and one Post-Doc. He is a member of IEEE and was recipient of the IEEE excellence award in service and research, SAP curriculum award and two Transportation safety awards. Professor Jafari has been a consultant to several fortune 500 companies, and national and international government agencies.

Randall A. Reagan

Job Titles:
  • Assistant Teaching Professor

Randy A. Reagan

Job Titles:
  • Assistant
Randy A. Reagan is an assistant teaching professor in the Department of Industrial and Systems Engineering. B.S. in Mechanical Engineering from the New Jersey Institute of Technology. M.S. in Mechanical Engineering from the University of Michigan. M.B.A. from New York University. He received his Ph.D. in Industrial Engineering from the New Jersey Institute of Technology. Dissertation research focused on resource assignment in short life technology-intensive new product development. Current teaching interests are in: Design- Human factors- Project management- Work systems- Quality management- Production Operations- Engineering management. More than 30 years of industry experience as a senior leader in small, medium and large companies, a startup and a non-profit. Most recently managing development of heavy equipment and tools for oil and gas, power generation and mining industries. Also, recent experience in developing tools and components for the transportation and structural industries. Major career experience in the design and development of telecommunications and optical fiber communications systems. Led design and manufacturing teams that developed and launched over 500 new products, including many award-winning products and many that have established new industry standards. Awarded 90 patents for design innovation.

Robert Mieth

Job Titles:
  • Assistant Professor
  • Assistant Professor in the Industrial and Systems
Robert Mieth is an Assistant Professor in the Industrial and Systems Engineering Department at Rutgers University and the founder and PI of the Reliability, Operation, and Planning of Power and Energy Systems (ROPES) Lab. Before joining Rutgers in fall 2023, he was a Leopoldina Postdoctoral Fellow in the Electrical and Computer Engineering Department at Princeton University. From 2021 to 2022 he was a Postdoc in the Department of Electrical and Computer Engineering of New York University's Tandon School of Engineering as part of the ARPA-E funded PERFOM project. Robert Mieth received the Doctorate in Engineering from the Technical University of Berlin in cooperation with NYU, where he was a visiting researcher from 2017 through 2020. His research and academic trajectory have been supported by prestigious fellowships including the German National Academic Foundation, the Rainer-Lemoine Foundation, and the German Academy of Sciences (Leopoldina). His research mainly focuses on facilitating clean electric power systems using optimization and machine learning methods.

Tuğrul Özel

Job Titles:
  • Professor

Walter Tyson

Job Titles:
  • Assistant

Weihong Guo

Job Titles:
  • Associate Professor
She is a member of IIE, INFORMS, and ASME. Dr. Guo is the recipient of the 2014 ISERC Quality Control & Reliability Engineering Best Student Paper Award Finalist, the 2014 International Conference on Frontiers of Design and Manufacturing Sciences Best Paper Award, the Rackham Predoctoral Fellowship from the University of Michigan, and the Wilson Prize for the Best Student Paper in Manufacturing. Her teaching interests include quality engineering, data analytics, and manufacturing systems.

Zhimin Xi

Job Titles:
  • Associate Professor