Diego Cifuentes is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. His research centers around the development of mathematical optimization methods, and the application of these methods in engineering areas such as machine learning, statistics, robotics, power systems, and computer vision. He also works in the theoretical analysis of optimization methods, leveraging geometric and combinatorial information to improve efficiency and robustness. Prior to joining ISyE, he served as an applied math instructor in MIT and as a postdoctoral researcher in the Max Planck Institute for Mathematics in the Sciences.

He earned his Ph.D. and M.S. in Electrical Engineering and Computer Science from MIT, and his B.S. in Mathematics and B.S. in Electronics Engineering from Universidad de los Andes.

Xiaoming Huo is an A. Russell Chandler III Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Dr. Huo's research interests include statistical theory, statistical computing, and issues related to data analytics. He has made numerous contributions on topics such as sparse representation, wavelets, and statistical problems in detectability. His papers appeared in top journals, and some of them are highly cited. He is a senior member of IEEE since May 2004. 

Dr. Jianjun Shi is the Carolyn J. Stewart Chair and Professor in H. Milton Stewart School of Industrial and Systems Engineering, with joint appointment in the George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology. Prior to joining Georgia Tech in 2008, he was the G. Lawton and Louise G. Johnson Professor of Engineering at the University of Michigan. He received his B.S. and M.S. in Electrical Engineering from the Beijing Institute of Technology in 1984 and 1987, and his Ph.D. in Mechanical Engineering from the University of Michigan in 1992. Dr. Shi is a pioneer in the development and application of data fusion for quality improvements. His methodologies integrate system informatics, advanced statistics, and control theory for the design and operational improvements of manufacturing and service systems by fusing engineering systems models with data science methods. He has produced 40 Ph.D. graduates, 27 of which have joined IE department as faculty members. Among them, 7 have received NSF CAREER Awards and one has received the NSF PECASE award. He has published one book and more than 180 papers. He has served as PI and co-PI for projects totaling more than 25 million dollars, which were funded by National Science Foundation, NIST Advanced Technology Program, Department of Energy, General Motors, Daimler-Chrysler, Ford, Boeing, Lockheed-Martin, Honeywell, Pfizer, Samsung, and various other industrial companies and funding agencies. The technologies developed in Dr. Shi’s research group have been widely implemented in various production systems with significant economic impacts. 

Dr. Shi is the founding chair of the Quality, Statistics and Reliability (QSR) Subdivision at the Institute for Operations Research and Management Science (INFORMS). He has served as the Editor-in-Chief of the IISE Transactions (2017-2020), the flagship journal of the Institute of Industrial and Systems Engineers. He also served as the Focus Issue Editor of IISE Transactions on Quality and Reliability Engineering (2007-2017), editor of Journal of System Science and Complexity, and advisory editor of Journal of Quality Technology and Quantitative Management (QTQM). He is a Fellow of American Society of Mechanical Engineering (ASME), a Fellow of the Institute of Industrial and Systems Engineering (IISE), a Fellow of Institute of Operations Research and the Management Science (INFORMS), a Fellow of Society of Manufacturing Engineering (SME), an Academician of the International Academy for Quality, and a member of National Academy of Engineering (NAE) of the USA. 

Dr. Shi received various awards for his research and teaching, including the George Box Medal (2022), ASQ Walter Shewhart Medal (2021), The S. M. Wu Research Implementation Award (2021), ASQ Brumbaugh Award (2019), The Horace Pops Medal Award (2018), IISE David F. Baker Distinguished Research Award (2016), the IIE Albert G. Holzman Distinguished Educator Award (2011), Forging Achievement Award from Forging Industry Educational and Research Foundation (2007), Monroe-Brown Foundation Research Excellence Award (2007), the 1938E Award (1998) at The University of Michigan, and NSF CAREER Award (1996).

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.

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.