Spyros Reveliotis is a professor in the Stewart School of Industrial & Systems Engineering at Georgia Tech. Dr. Reveliotis' research interests are primarily in discrete event systems theory and its applications, especially in the control of flexibly automated workflows and the traffic management of multi-agent systems evolving over graphs. He also has an active interest in machine learning theory and its applications. Dr. Reveliotis is an IEEE Fellow, and a member of INFORMS. Dr. Reveliotis completed his Ph.D. studies in industrial engineering at the University of Illinois at Urbana-Champaign. He also holds a B.Sc. degree in Electrical Engineering from the National Technical University of Athens, Greece, and an M.Sc. degree in Computer Systems Engineering from Northeastern University.

Dima Nazzal is a Principal Academic Professional in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. She is responsible for project-based learning in the Industrial Engineering undergraduate curriculum, including the capstone senior design course, and the cornerstone junior design course. She is also research director of the Center for Health and Humanitarian Systems. Prior to joining Georgia Tech, she was Director of Research and Development at Fortna, Inc., an Engineering Design and Consulting company. 

Research: Her research focuses on modeling, design, and control of discrete event logistics systems, including healthcare delivery systems, manufacturing systems, and distribution systems. Her recent work has focused on election voting systems, higher education response to COVID-19, understanding and driving higher childhood vaccination rates in developing countries, modeling of collaborative robots in distribution systems; scheduling and dispatching policies in semiconductor manufacturing, and energy systems development. She has worked with companies, non-governmental organizations, and healthcare providers, including ExxonMobil, Emory University, Samsung, Emory University, Gates Foundation, and Walt Disney World. See here for relevant publications. 

Teaching: Dr. Nazzal enjoys teaching courses in manufacturing, warehousing, and facility logistics system design and operations, as well as advising senior design teams. She is the recipient of multiple teaching awards including the Georgia Tech Women in Engineering Outstanding Teacher Award in 2015, and the Most Outstanding Faculty Member Award from the University of Central Florida IIE Student Chapter in 2011. 

She received her Ph.D. in Industrial Engineering from Georgia Tech in 2006, her M.S. in Industrial Engineering from the University of Central Florida, and her B.S. in Industrial Engineering from the University of Jordan.

Leon McGinnis is a Professor Emeritus in the Stewart School of Industrial & Systems Engineering at Georgia Tech. 

Dr. McGinnis's research focuses on fundamental representation issues in discrete event logistics systems, on performance assessment models, and on the development of integrated computational tools. He has been a leader in developing and administering industry-focused and interdisciplinary education and research programs at Georgia Tech. He helped establish the Material Handling Research Center in 1982 and managed one of five research programs over the next decade. He also helped establish the Computer Integrated Manufacturing Systems Program in 1983, which received a LEAD Award from ASME for excellence in graduate-level interdisciplinary manufacturing education, and served as Director from 1988 to 1998. As CIMS Director, he lead a team that competed for and won a $1 million TRP grant, resulting in the establishment of the Rapid Prototyping and Manufacturing Institute within the Manufacturing Research Center. In 1994, he led a team of Stewart School of Industrial & Systems Engineering faculty to win over $2 million in grants from the W. M. Keck Foundation to create the Keck Virtual Factory Lab as a focal point for IE systems design and control research.

The Institute of Industrial Engineers has recognized Dr. McGinnis with the Outstanding Publication Award, the David F. Baker Distinguished Research Award, and the Fellow Award. He has given the Inyong Ham Lecture at Penn State, the Jones Lecture at Dartmouth, and the Schantz Lectures at Lehigh. 

Dr. McGinnis enjoys teaching students how to think like industrial engineers, particularly in developing and using mathematical and computational models to support design of facilities and control systems. 

He received his BS in IE from Auburn University, and MS and PhD in IE from North Carolina State University. He is a registered Professional Engineer in the state of Georgia.

Jye-Chyi (JC) Lu is a professor in in the Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Tech (GT).

Dr. Lu is active in promoting research, education and extension-service programs with focus on engineering statistics and analytics areas. Dr. Lu received a Ph.D. in statistics from University of Wisconsin at Madison in 1988, and joined the statistics faculty of North Carolina State University, where he remained until 1999 when he joined GT-ISyE. He has 82 journal publications in engineering and statistics journals. Twenty seven Ph.D. students has graduated under his supervision.  His research has been supported by many NSF awards and industry grants. He serves as an associate editor (AE) for the Journal of Quality Technology and had served as AEs for Technometrics and IEEE Transactions on Reliability.  He is a Fellow in the American Statistical Association, and has been INFORMS Quality, Statistics and Reliability section chair.

Christos Alexopoulos is the Associate Chair for Graduate Studies as well as a Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. 

Dr. Alexopoulos' research interests center on applied probability, statistics, and optimizations of stochastics systems. His recent work involves problems related to the optimal design of telecommunications and transportation networks.

Kamran Paynabar is the Fouts Family Early Career Professor and Associate Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He received his B.Sc. and M.Sc. in Industrial Engineering from Iran in 2002 and 2004, respectively, and his Ph.D. in Industrial and Operations Engineering from The University of Michigan in 2012. He also holds an M.A. in Statistics from The University of Michigan. His research interests comprise both applied and methodological aspects of machine-learning and statistical modeling integrated with engineering principles. He is a recipient of the INFORMS Data Mining Best Student Paper Award, the Best Application Paper Award from IIE Transactions, the Best QSR refereed paper from INFORMS, and the Best Paper Award from POMS. He has been recognized with the Georgia Tech campus level 2014 CETL/BP Junior Faculty Teaching Excellence Award and the Provost Teaching and Learning Fellowship. He served as the chair of QSR of INFORMS, and the president of QCRE of IISE.

Arkadi Nemirovski is the John P. Hunter, Jr. Chair in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. 

Dr. Nemirovski's research interests focus on Optimization Theory and Algorithms, with emphasis on investigating complexity and developing efficient algorithms for nonlinear convex programs, optimization under uncertainty, applications of convex optimization in engineering, and nonparametric statistics. 

Dr. Nemirovski has made fundamental contributions in continuous optimization in the last thirty years that have significantly shaped the field. In recognition of his contributions to convex optimization, Nemirovski was awarded the 1982 Fulkerson Prize from the Mathematical Programming Society and the American Mathematical Society (joint with L. Khachiyan and D. Yudin), the Dantzig Prize from the Mathematical Programming Society and the Society for Industrial and Applied Mathematics in 1991 (joint with M. Grotschel). He was elected a Member of the National Academy of Engineering (2017) and a Fellow of the American Academy of Arts and Sciences (2018). 

In recognition of his seminal and profound contributions to continuous optimization, Nemirovski was awarded the 2003 John von Neumann Theory Prize by the Institute for Operations Research and the Management Sciences (along with Michael Todd). He He continues to make significant contributions in almost all aspects of continuous optimization: complexity, numerical methods, stochastic optimization, and non-parametric statistics. 

Dr. Nemirovski earned a Ph.D. in Mathematics (1974) from Moscow State University, the Doctor of Sciences in Mathematics (1990) from the Supreme Attestation Board at the USSR Council of Ministers, and the Doctor of Mathematics (Honoris Causa) from the University of Waterloo, Canada (2009).

Yao Xie is a Coca-Cola Foundation Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech, which she joined in 2013 as an Assistant Professor. She also serves as Associate Director of Machine Learning and Data Science of the Center for Machine Learning. From September 2017 until March 2023 she was the Harold R. and Mary Anne Nash Early Career Professor. She was a Research Scientist at Duke University from 2012 to 2013. 

Her research lies at the intersection of statistics, machine learning, and optimization in providing theoretical guarantees and developing computationally efficient and statistically powerful methods for problems motivated by real-world applications. 

She is currently an Associate Editor for IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing, Journal of the American Statistical Association: Theory and Methods, Sequential Analysis: Design Methods and Applications, INFORMS Journal on Data Science, and an Area Chair of NeurIPS and ICML.

Joel Sokol is the Harold E. Smalley Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He is also Director of the interdisciplinary Master of Science in Analytics degree (on-campus and online).

His primary research interests are in sports analytics and applied operations research. He has worked with teams or leagues in all three of the major American sports. Dr. Sokol's LRMC method for predictive modeling of the NCAA basketball tournament is an industry leader, and his non-sports research has won the EURO Management Science Strategic Innovation Prize and been a finalist for the Cozzarelli Prize.

Dr. Sokol has also won recognition for his teaching and curriculum development from IIE and the NAE, held the Fouts Family Associate Professorship for a three-year term, and is the recipient of Georgia Tech's highest awards for teaching. He served two terms as INFORMS Vice President of Education, and is a past Chair and founding officer of the INFORMS section on sports operations research.

Dr. Sokol's Ph.D. in operations research is from MIT, and his bachelor's degrees in mathematics, computer science, and applied sciences in engineering are from Rutgers University.

George Lan is an A. Russell Chandler III Professor of Industrial and Systems Engineering at Georgia Institute of Technology.  His research and teaching interests lie in theory, algorithms and applications of stochastic optimization and nonlinear programming.  Most of his current research concerns the design of efficient algorithms for solving challenging optimization problems, especially those arising from data analytics, machine learning, and reinforcement learning. He is actively pursuing the applications of these methodologies in healthcare and sustainability areas. Dr. Lan serves as the associate editor for Computational Optimization and Applications (2014 – present), Mathematical Programming (2016 – present) and SIAM Journal on Optimization (2016  – present). Dr. Lan is an associate director for the center of machine learning at Georgia Tech.