Dr. Boukouvala is originally from Piraeus, which is the port of Athens in Greece. As the daughter of an airforce pilot, she travelled a lot with her family. Her first international move was actually to the USA, where she spent one year in Montgomery, Alabama. She later on lived in Riyadh, Saudi Arabia and Crete, Greece, before returning to Athens to get her B.S Degree in Chemical Engineering from the National Technical University in Athens. In 2008, she moved back to the US to obtain a PhD in Chemical Engineering at Rutgers University in NJ. She then worked as a Postdoctoral Associate in both Princeton University and Texas A&M University. In August 2016, Dr. Boukouvala returned to the South East US, as an Assistant Professor in the School of Chemical & Biomolecular Engineering at Georgia Tech. 

Her research interest in Process Systems Engineering (PSE) started during her PhD years, where she worked under the supervision of Dr. Marianthi Ierapetritou, on modeling and optimization of continuous pharmaceutical manufacturing. Her background on optimization and data-driven modeling was enhanced during her years as a postdoc with the late Christodoulos A. Floudas. Dr. Boukouvala is a proud 4th generation member of the academic family tree of the father of PSE, Roger Sargent.

Dr. Bert Bras has been a Professor at the George W. Woodruff School of Mechanical Engineering at the Georgia Institute of Technology since September 1992. From 2001 to 2004, he served as the Director of Georgia Tech’s Institute for Sustainable Technology and Development. 

In 2014, he was named a Brook Byers Professor of Sustainability. He was named the Associate Chair for Administration for the George W. Woodruff School of Mechanical Engineering at Georgia Tech in 2016 and briefly served as Interim School Chair in 2018. 

Dr. Bras’ 25-year career as a Professor of Mechanical Engineering at the Georgia Institute of Technology equips him with considerable expertise in sustainable design and manufacturing that has taken him through many areas of industry, from automotive to alternative energy.

He holds an MS in Mechanical Engineering from the University of Twente (Netherlands) and a Ph.D. in Operations Research from the University of Houston. Prior to completing his Ph.D., he worked at the Maritime Research Institute Netherlands (MARIN).

Sheng Dai, Ph.D., P.E., earned his degrees from Tongji University and Georgia Tech. He worked as an ORISE postdoc at the National Energy Technology Laboratory of the U.S. Department of Energy, and returned to Georgia Tech as a faculty member in 2015. He is currently an associate professor in the School of Civil and Environmental Engineering, Ocean Science and Engineering. and holds a courtesy appointment at the School of Earth and Atmospheric Sciences at Georgia Tech.

Dr. Dai's group addresses emerging energy and environment challenges through studying subsurface geomechanics, geomaterials characterization, energy geotechnics, bio-inspired geotechnics, flow in porous media, and granular dynamics. His research has been funded by federal funding agencies (DOE, NSF, NASA, DOT), national labs (INL, NETL), and industry (AECOM, GTI, Leidos).  Dr. Dai has been recognized for his research and teaching, including being a recipient of the NSF CAREER award, the ORISE Fellowship, the Bill Schutz Junior Faculty Teaching Award, and the Class of 1969 Teaching Fellows at Georgia Tech.

He is an associated editor of the Journal of Geophysical Research: Solid Earth and Advances in Geo-Energy Research, an editorial advisor of Geomechanics for Energy and Environment, and serves on the Pressure Core Advisory Board for U.S. Geological Survey, the GOM2 Marine Test Technical Advisory Committee for UT/DOE, the National Gas Hydrate Program for NETL, and the Task Force Leader of TC308 Energy Geotechnics of ISSMGE. 

Mathieu Dahan is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering. His research interests are in combinatorial optimization, game theory, and predictive analytics, with applications to service operations management and disaster logistics. His primary focus is on developing strategies for improving the resilience of large-scale infrastructures — particularly, transportation and natural gas networks — in the face of correlated failures such as security attacks and natural disasters. Current projects include: (i) Strategic design of network inspection systems; and (ii) Analytics-based response operations under uncertainty.

Dr. Dahan received a Ph.D. and M.S. in Computational Science and Engineering from the Massachusetts Institute of Technology, a M.Eng. and B.Eng. from the École Centrale Paris, and a B.S. in Mathematics from Paris-Sud University. He is the recipient of the MIT Robert Thurber Fellowship, the MIT Robert Guenassia Award, the Honorable Mention for the J-WAFS Fellowships, and the Best Poster Award at the Princeton Day of Optimization.

During the summer of 2016, he worked as a research scientist intern at Amazon.com (Seattle) in the Supply Chain Optimization Technologies team. Using Machine-Learning techniques, he worked on predicting the fulfillment cost and developing a prototype to grant a fast and accurate access to future shipping cost estimates.