Enlu Zhou is a professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. She received the B.S. degree with highest honors in electrical engineering from Zhejiang University, China, in 2004, and the Ph.D. degree in electrical engineering from the University of Maryland, College Park, in 2009. Prior to joining Georgia Tech in 2013, she was an assistant professor in the Industrial & Enterprise Systems Engineering Department at the University of Illinois Urbana-Champaign from 2009-2013. She is a recipient of the Best Theoretical Paper award at the Winter Simulation Conference, AFOSR Young Investigator award, NSF CAREER award, and INFORMS Outstanding Simulation Publication Award. She has served as an associate editor for Journal of Simulation, IEEE Transactions on Automatic Control, and Operations Research. She is currently the Vice President and President-Elect of the INFORMS Simulation Society.

Mayya Zhilova is an associate professor in the School of Mathematics at Georgia Tech and an affiliated member of the Machine Learning Center. She received her Ph.D. in statistics from the Humboldt University of Berlin in 2015. 

Her primary research interests lie in the areas of mathematical statistics, statistical learning theory, and uncertainty quantification, particularly in statistical inference for complex high-dimensional data, performance of resampling procedures for various classes of problems, functional estimation, and inference for misspecified models.

My research focuses on three major areas: (a) understanding and improving worker well-being, (b) temporal dynamics in team contexts, and (c) research methods. Collectively, my research seeks to improve our understanding of optimal human functioning more generally, across time, and within specific contexts (e.g., organizational, teams).

Leanne West is Chief Engineer of Pediatric Technologies at the Georgia Institute of Technology and Pediatric Innovation Catalyst at the Global Center for Medical Innovation where she leads innovation in pediatric medical devices. In her 25+ years working at Georgia Tech, she has led multimillion dollar programs and teams of researchers to develop products for government and industry partners. She also started her own company, Intelligent Access, to take her invention of a wireless personal captioning system to market. She serves as the technical liaison between Georgia Tech and pediatric hospitals around the world, with Children’s Healthcare of Atlanta and Shriners Hospitals being the main partners. West works closely with clinicians to understand and identify problems that need a solution to allow them to take better care of their patients. She is an invited Judge for many medical device pitch competitions and serves on several Boards in the healthcare and technology arenas. 

West is the President of the International Children’s Advisory Network (iCAN). Since 2014, iCAN fosters greater global understanding about the importance of the pediatric patient and caregiver voice in healthcare, clinical trials, and research. iCAN gives its members the opportunities to share their stories and experiences in front of organizations like the FDA, AAP, and CDC, and conferences. iCAN is an official partner of the Food and Drug Administration (FDA) Center for Devices and Radiological Health (CDRH) as an official member organization of the Patient and Caregiver Connection Partner program and the Total Product Life Cycle Advisory Program. West is also a patient advocate for one of her two rare diseases, serving on the Foundation for Sarcoidosis Research Patient Advisory Council and Speaker’s Bureau. 

She has served as the twice-elected Chair of the Georgia Tech Executive Board (2007, 2008) and was the GT Chair of the State Charitable Campaign (2017). She was recognized by Georgia Trend magazine as one of Georgia’s “40 Under 40” in 2004; she was selected for Leadership Georgia in 2008; she was a member of the team awarded the international Optical Society 2012 Paul F. Forman Engineering Excellence Award; she received Georgia Tech’s Outstanding Achievement in Research Enterprise Enhancement Award in 2014, and she was Women in Technology’s Woman of the year in 2014. In 2017, she was appointed to the board of the Georgia Technology Authority by the late Speaker of the House, David Ralston.

Sherri joined the Business Analytics Center at Scheller College of Business in August 2017 as the Corporate Engagement Manager. She is responsible for identifying, developing and maintaining corporate partnerships that drive collaboration between the Business Analytics Center and the analytics industry. 

Before joining the Business Analytics Center, Sherri worked as a Corporate Relations Manager for the Georgia Tech Master of Science in Analytics Program. Prior to joining Georgia Tech, she built a 25+ year accomplished track record in business development, corporate relations, program management and fund raising. Her extensive experience spans multiple industry sectors in Technology, Consumer Products, Education and Nonprofit.

Dr. John Lawrence Tone is professor of history in the School of History and Sociology.  In the past he has served as interim dean of the Ivan Allen College of Liberal Arts, chair of the School of Economics and of the School of History and Sociology, and associate dean of undergraduate studies in the Ivan Allen College. He specializes in Spanish and Cuban military history and the history of disease and medicine. He has written several articles and books, including The Fatal Knot: The Guerrilla War in Navarre and the Defeat of Napoleon in Spain (1995), La guerrilla española (1999), and War and Genocide in Cuba (2006). The Fatal Knot was a selection of the History Book Club and received the Literary Prize of the International Napoleonic Society in 1999.  He was inducted as a Fellow of the International Napoleonic Society in that same year. War and Genocide in Cuba received the Society for Military History Prize for the Best Book on a Non-US Subject in 2008. His current research is on the history of yellow fever. He has received grants from the Fulbright Foundation, the National Endowment for the Humanities, and the American Philosophical Society. He teaches courses on European History, The French Revolution and Napoleon, Intellectual History, Modern Spain, Modern Cuba, and The History of Disease and Medicine.

Mohit Singh is a Coca-Cola Foundation Professor in the H. Milton Stewart School of Industrial and Systems Engineering and the Director of the Algorithms and Randomness Center (ARC). Prior to this, he served as a researcher in the Theory Group at Microsoft Research in Redmond, Washington.

Singh’s research interests include discrete optimization, approximation algorithms, and convex optimization. His research is focused on optimization problems arising in cloud computing, logistics, network design, and machine learning.

Singh received the Tucker Prize in 2009 given by the Mathematical Optimization Society for an outstanding doctoral thesis on “Iterative Methods in Combinatorial Optimization.” He also received the best paper award for his work on the traveling salesman problem at the Annual Symposium on Foundations of Computer Science (FOCS) in 2011.

Previously, Singh was an assistant professor at McGill University from 2010-2011 and a postdoctoral researcher at Microsoft Research, New England from 2008-2009.

He obtained his Ph.D. in 2008 from the Tepper School of Business at Carnegie Mellon University.

My current research involves the modeling of certain types of human activity that exhibit regular spatio- and/or temporal patterns. As a case study, we have generally focused on various types of criminal behavior, since there are clear patterns in this activity and we have access to relatively large amounts of data. A large portion of this work aims to model the formation and dynamics of crime "hotspots" - spatio-temporal regions of increased criminal activity. Working with data provided by the Los Angeles and Long Beach police departments, we have developed methods of measuring the repeat and near-repeat criminal events that are the hallmarks of hotspot formation. We have also constructed a family of discrete models that allow for such patterns to develop from natural criminal behavior, and have derived continuum approximations of these discrete models. Some output from one of many simulations (right) illustrates this finding, with "hot" areas in red and "cold" areas in purple. 

In addition to the work on crime hotspots, this overarching project has also included: more accurate predictions of when and where crimes will occur, based on self-exciting point process models borrowed from seismology; the study of gang territoriality, modeled via diffusive Lotka-Volterra equations; gang retaliatory violence, and how the police may be able to solve such crimes using constrained optimization; the evolution of gang rivalry networks in the presence of retaliation and third-party effects; game theoretic models for the levels of both crime and cooperation with the authorities in society; and new methods for finding the "anchor points" of criminals given the locations of crimes they committed, based on models inspired by animal foraging.

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).