Dr. Haesun Park is a Regents' Professor and Chair in the School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, U.S.A. She was elected as a SIAM Fellow in 2013 and IEEE Fellow in 2016 for her outstanding contributions in numerical computing, data analysis, and visual analytics. She was the Executive Director of Center for Data Analytics 2013-2015 and was the director of the NSF/DHS FODAVA-Lead (Foundations of Data and Visual Analytics) Center 2008-2014. She has published extensively in the areas of numerical computing, large-scale data analysis, visual analytics, text mining, and parallel computing. She was the conference co-chair for SIAM International Conference on Data Mining in 2008 and 2009 and an editorial board member of the leading journals in computational science and engineering such as IEEE Transactions on Pattern Analysis and Machine Intelligence, SIAM Journal on Matrix Analysis and Applications, and SIAM Journal on Scientific Computing. She was the plenary keynote speaker at major international conferences including SIAM Conference on Applied Linear Algebra in 1997 and 2015, and SIAM International Conference on Data Mining in 2011. Before joining Georgia Tech, she was a professor in Department of Computer Science and Engineering, University of Minnesota, Twin Cities 1987- 2005 and a program director in the Computing and Communication Foundations Division at the National Science Foundation, Arlington, VA, U.S.A., 2003 - 2005. She received a Ph.D. and an M.S. in Computer Science from Cornell University, Ithaca, NY in 1987 and 1985, respectively, and a B.S. in Mathematics from Seoul National University, Seoul, Korea in 1981 with the Presidential Medal for the top graduate.

Dr. Andre Calmon is an Assistant Professor of Operations Management at Scheller College of Business, the co-director of Sustainable-X, and a Brook Byers Institute Faculty Fellow. Before joining Georgia Tech, he was an Assistant Professor of Operations Management at INSEAD.

Andre’s research uses data, analytics, and mathematical modeling to address sustainability and efficiency issues in innovative business models. More broadly, his research investigates how organizations can use analytics and business model innovation to generate positive social and environmental impact while increasing profits. His work has been published in premier management journals such as Management Science, Manufacturing & Service Operations Management, and Production and Operations Management.

Andre is a renowned educator, and his innovative pedagogy resulted in several award-winning new courses, case studies, and student-led ventures. In particular, the sustainability pedagogical material he developed was the Grand Prize winner of the Page Prize. Furthermore, Andre’s teaching fosters a “classroom-to-startup-to-research” pipeline, and much of his research examines new management challenges faced by startups founded by his former students.

Andre received a Ph.D. in Operations Research from MIT. He also holds an M.Sc. in Electrical Engineering from the Universidade Estadual de Campinas (Unicamp) and a B.Sc. in Electrical Engineering from the Universidade de Brasília (UnB).

Dr. Chen is an Assistant Professor in the School of Computational Science and Engineering. Previously he was a Research Scientist at the Oden Institute for Computational Engineering and Sciences at the University of Texas at Austin. Dr. Chen’s research is in the multidisciplinary fields of computational mathematics, data science, scientific machine learning, and parallel computing with various applications in materials, energy, health, and natural hazard. Specifically, his research focuses on developing fast, scalable, and parallel computational methods for integrating data and models under high-dimensional uncertainty to make (1) statistical model learning via Bayesian inference, (2) reliable system prediction with uncertainty quantification, (3) efficient data acquisition through optimal experimental design, and (4) robust control and design by stochastic optimization.

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. 

Richard Fujimoto is a Regents’ Professor, Emeritus in the School of Computational Science and Engineering at the Georgia Institute of Technology. He received the Ph.D. degree from the University of California-Berkeley in 1983 in Computer Science and Electrical Engineering. He also received an M.S. degree from the same institution as well as two B.S. degrees from the University of Illinois-Urbana. 

Fujimoto is a pioneer in the parallel and distributed discrete event simulation field. Discrete event simulation is widely used in areas such as telecommunications, transportation, manufacturing, and defense, among others. His work developed fundamental understandings of synchronization algorithms that are needed to ensure the correct execution of discrete event simulation programs on high performance computing (HPC) platforms. His team developed many new algorithms and computational techniques to accelerate the execution of discrete event simulations and developed software realizations that impacted several application domains. For example, his Georgia Tech Time Warp software was deployed by MITRE Corp. to create online fast-time simulations of commercial air traffic to help reduce delays in the U.S. National Airspace. An active researcher in this field since 1985, he authored or co-authored three books and hundreds of technical papers including seven that were cited for “best paper” awards or other recognitions. His research included several projects with Georgia Tech faculty in telecommunications, transportation, sustainability, and materials leading to numerous publications co-authored with faculty across campus.

Steven P. French is professor of City and Regional Planning at Georgia Institute of Technology. He joined Georgia Tech in 1992 as the director of the City Planning program and served in that position until August 1999. He was the director of the Center for Geographic Information Systems from 1997 through 2011. He served as associate dean for research for the College of Architecture (now the College of Design) from July 2009 through June 2013 and dean of the College of Design from July 2013-June 2021.

French’s teaching and research activities focus on sustainable urban development, land use planning, GIS applications, and natural hazard risk assessment. In addition to his administrative assignments, Professor French has regularly taught graduate courses in land use, planning, and GIS. He has graduated six Ph.D. students and advised more than 50 Masters students in City and Regional Planning. He has also served on numerous dissertation committees in Architecture, Civil Engineering, and Public Policy.

Over the past twenty-five years, French has been the principal investigator or co-principal investigator on more than seventy research projects. He has participated in a number of National Science Foundation projects dealing with flood and earthquake hazards and was the Social Science Thrust Leader for the Mid-America Earthquake Center, an NSF Engineering Research Center. He has extensive experience in building and managing multidisciplinary teams of social scientists, architects, engineers, and scientists. French is the author or co-author of more than 25 refereed journal articles and four books. He has served on the editorial boards of the Journal of the American Planning Association, Journal of Planning Education and Research, Journal of the Urban and Regional Information Systems Association and Earthquake Spectra.

French holds a Ph.D. in City and Regional Planning from the University of North Carolina at Chapel Hill. Before coming to Georgia Tech, he taught for ten years at California Polytechnic State University-San Luis Obispo. In 1987-88, he served as the visiting professor of resources planning in the Civil Engineering Department at Stanford University. He is a Fellow of the American Institute of Certified Planners and an associate member of the American Institute of Architects.

As Director of Activities for three of Tech's Interdisciplinary Research Institutes: the Strategic Energy Institute, the Renewable Bioproducts Institute, and the Brook Byers Institute for Sustainable Systems, I'll help bring together researchers from different disciplines to address topics of strategic importance. Each interdisciplinary research group mobilizes faculty to address the needs of external stakeholders (federal, state, and local entities, corporations, foundations, and communities) by fostering an Institute-wide innovation ecosystem around a specific focus.

Dylan Brewer joined the faculty at the School of Economics in 2019. He received his PhD in Economics with a dual major in Environmental Science and Policy from Michigan State University in May 2019 as well as a Master of Arts degree in Economics from the same institution in 2016. Prior to his graduate studies, Dylan completed a Bachelor of Arts degree with majors in Economics and International Relations at the University of Virginia in 2014. Dylan's research uses the tools of applied econometrics and machine learning to answer questions in energy and environmental economics. He has published research on household energy consumption, the economics of thermostat settings, recycling, electricity demand, machine learning methodology, and air quality among other topics. He teaches courses on environmental economics at the graduate and undergraduate level, and his Principles of Microeconomics course has won awards at Georgia Tech.