Miguel Granier serves as a distinguished external fellow of the Strategic Energy Institute, and is the managing director of Cox Cleantech Accelerator by gener8tor. He has nearly two decades of experience financing businesses from startup to growth stage. As the founder/managing director of Invested Development (ID) and the Impact Factoring Fund (IFF), and founding investment manager for First Light Ventures, he led investments in dozens of startups across nine countries and three continents. Miguel began his career in finance as a loan officer for the global micro-finance organization ACCION and has worked for the insurance giant Fidelity National Financial in New York and the Delter Business Institute in Beijing, China. 

Miguel holds or has held board positions at more than a dozen start-ups, including Growing Energy Labs, Inc (acquired by Hanwha/Q-Cells), Simpa Networks (acquired by Engie), OnFarm (acquired by SWIIM Systems), and iHub (acquired by ccHub). He has also served on the boards of several non-profit organizations, including Greentown Labs, Village Capital, and Global Growers Network. 

Miguel has earned two Masters’ degrees from Georgia Tech in City and Regional Planning and Sustainable Energy and Environmental Management. In addition, he has been an adjunct faculty at the Monterrey Institute of International Studies, Northeastern University, and Georgia Tech. 

Professor Nagi Gebraeel is the Georgia Power Early Career Professor and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He received his MS and PhD from Purdue University in 1998 and 2003, respectively.

Dr. Gebraeel's research interests lie at the intersection of Predictive Analytics and Machine Learning in IoT enabled maintenance, repair and operations (MRO) and service logistics. His key focus is on developing fundamental statistical learning algorithms specifically tailored for real-time equipment diagnostics and prognostics, and optimization models for subsequent operational and logistical decision-making in IoT ecosystems. Dr. Gebraeel also develops cyber-security algorithms intended to protect IoT-enabled critical assets from ICS-type cyberattacks (cyberattacks that target Industrial Control Systems). From the standpoint of application domains, Dr. Gebraeel has general interests in manufacturing, power generation, and service-type industries. Applications in Deep Space missions are a recent addition to his research interests, specifically, developing Self-Aware Deep Space Habitats through NASA's HOME Space Technology Research Institute.

Dr. Gebraeel leads Predictive Analytics and Intelligent Systems (PAIS) research group at Georgia Tech's Supply Chain and Logistics Institute. He also directs activities and testing at the Analytics and Prognostics Systems laboratory at Georgia Tech's Manufacturing Institute. Formerly, Dr. Gebraeel served as an associate director at Georgia Tech's Strategic Energy Institute (from 2014 until 2019) where he was responsible for identifying and promoting research initiatives and thought-leadership at the intersection of Data Science and Energy applications. He was also the former president of the Institute of Industrial and Systems Engineers (IISE) Quality and Reliability Engineering Division, and is currently a member of the Institute for Operations Research and the Management Sciences (INFORMS), and IISE (since 2005).

David Flaherty, PhD is a Professor in the School of Chemical and Biomolecular Engineering at Georgia Tech since June 2023 (starting Summer 2023, previously at the University of Illinois, Urbana-Champaign). His research focuses on developing the science and application of catalysis in the pursuit of sustainability. In recent years, his group’s contributions have been featured in Science, Nature Catalysis, Journal of the American Chemical Society, ACS Catalysis, Journal of Catalysis and other prestigious journals. Dr. Flaherty has received several recognitions for excellence and innovation in catalysis including the Eastman Foundation Distinguished Lecturer in Catalysis, Department of Energy Early Career Award, and the National Science Foundation CAREER Award. Dr. Flaherty engages frequently with industry to translate the groups scientific achievements from the lab into practice. Through university-industry partnerships, the group has filed multiple patents disclosing synthesis of catalytic materials and development of processes. Beyond his research activities, Dr. Flaherty enjoys teaching topics in chemical engineering in the classroom (kinetics, separations, transport, reaction engineering) and mentoring the next generation of research leaders and educators.

Prof. Flaherty received his B.S. in Chemical Engineering from the University of California, Berkeley and his Ph.D. in Chemical Engineering from the University of Texas at Austin under the direction of Prof. C. Buddie Mullins. He conducted postdoctoral work at the University of California, Berkeley with Prof. Enrique Iglesia.

Ben Emerson completed his Ph. D. in Aerospace Engineering from Georgia Tech in August, 2013. Since then, Ben has worked as a Research Engineer at the Ben T. Zinn Combustion Lab at Georgia Tech. Ben’s research portfolio includes projects on combustion instabilities, alternative fuels, and combustion system R&D with a core focus and motivation of cleaner combustion. Ben’s research primarily consists of three core competencies, which are experimental combustion system development, combustor diagnostics, and combustion theory and modeling. Ben’s combustion system development work spans a wide variety of applications, from small lab-scale burners to combustor rigs that test full-scale gas turbine combustor hardware. His combustor diagnostics work encompasses the state of the art optical diagnostic techniques for reacting flow field measurements and imaging, and aims to implement those techniques in both laboratory-scale and large-scale rig tests. Finally, Ben’s combustion theory and modeling work is geared towards analysis of experimental datasets, development of reduced-order engineering tools, and the development of a suite of hydrodynamic stability analysis tools. Together, these core competencies form the pillars of Ben’s research, which facilitates the design of cleaner-burning combustion systems.

Dr. Yu Ding is the Anderson-Interface Chair and Professor in the H. Milton School of Industrial and Systems Engineering at Georgia Tech. Prior to joining Georgia Tech in 2023, he was the Mike and Sugar Barnes Professor of Industrial and Systems Engineering at Texas A&M University. While at Texas A&M, he also served as Associate Department Head for Graduate Affairs of the Department of Industrial and Systems Engineering between 2012 and 2016 and Associate Director for Research Engagement of Texas A&M Institute of Data Science between 2020 and 2023. He received his B.S. in Precision Engineering from the University of Science and technology of China in 1993, a M.S. in Precision Engineering from Tsinghua University in 1996, a second M.S. in Mechanical from Penn State in 1998, and his Ph.D. in Mechanical Engineering from the University of Michigan in 2001.

Dr. Ding is the author of the CRC Press book, Data Science for Wind Energy, and a co-author of the Springer Nature book, Data Science for Nano Image Analysis. Dr. Ding received the 2019 IISE Technical Innovation Award and 2022 INFORMS Impact Prize for his data science innovations impacting wind energy applications. Dr. Ding is a Fellow of IISE (2015) and ASME (2016). He has served as editor or associate editor for several major engineering data science journals, and is currently serving as the 14th Editor in Chief of IISE Transactions, for the term of 2021-2024.

Thomas DiChristina, Ph.D., received a BS in Chemical Engineering from the University of Rochester (NY) in 1982, a MS in Chemistry from the University of Bordeaux (France) in 1984, a Ph.D. in Environmental Engineering Science from the California Institute of Technology (CA) in 1989, and a Postdoctoral Fellowship from the Woods Hole Oceanographic Institution (MA) in 1993. DiChristina has been at Professor of Microbiology in the School of Biological Sciences at Georgia Tech for 29 years. 

Shaheen Azim Dewji, Ph.D., (she/her/hers) is an Assistant Professor in the Nuclear & Radiological Engineering and Medical Physics Programs at the Georgia Institute of Technology, where she leads the Radiological Engineering, Detection, and Dosimetry (RED²) research group. Dewji joined Georgia Tech following three years as faculty at Texas A&M University in the Department of Nuclear Engineering, and as a Faculty Fellow of the Center for Nuclear Security Science and Policy Initiatives (NSSPI). In her prior role at Oak Ridge National Laboratory, where she remained for almost 9 years, Dewji was Radiological Scientist in the Center for Radiation Protection Knowledge. Her research interests include development of dose coefficients, shielding design, and nuclear material detection assay using gamma-ray spectroscopy. Her recent work has focused on associated challenges in uncertainty quantification in dose estimation/reconstruction associated with the external exposure and internal uptake of radionuclides associated with applications of emergency response, defense, nuclear medicine, and occupational/public safety using Monte Carlo radiation transport codes and internal dose modeling. Dewji completed her Masters and Ph.D. degrees in Nuclear and Radiological Engineering at the Georgia Institute of Technology in Atlanta, GA and was a fellow of the Sam Nunn Security Program. She received her Bachelor of Science in Physics from the University of British Columbia. Dewji currently serves on the National Academies of Science, Engineering, and Medicine – Nuclear and Radiation Studies Board and is a member of the Board of Directors for both the American Nuclear Society and Health Physics Society.
   

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.

Dr. Chance retired from Global Thermostat at the end of 2022, where he served as a Senior Science Advisor. He continues at the Georgia Institute of Technology where he serves as an Adjunct Professor. Dr. Chance began his career with Honeywell Corporation, holding a number of research positions including Research Manager for Electronic Materials.

In 1986, he joined Exxon as the Director of their Polymers and Fluids Laboratory, later serving as Division Manager for their Paramins Technology division, and as Distinguished Scientific Advisor in ExxonMobil’s Corporate Strategic Research Laboratories. Dr. Chance retired from ExxonMobil in 2006 and joined the Georgia Institute of Technology as a faculty member with a joint appointment in the School of Chemical and Biomolecular Engineering and the School of Chemistry and Biochemistry, continuing also as Distinguished Scientific Advisor Emeritus at ExxonMobil from 2006-2009. 

He joined Algenol Biofuels (2009-2019) as Executive Vice President for Engineering. Dr. Chance's scientific interests are focused on CO² capture and utilization, including Direct Air Capture, as a mitigation strategy for climate change. 

Dr. Chance has organized several international scientific meetings and served on numerous university and industrial advisory boards. He has published over 150 peer-reviewed articles, edited two books, and authored over 30 patents. He was elected Fellow in The American Physical Society in 1988 and was the 2018 recipient of the Lawrence B. Evans Award from the American Institute of Chemical Engineers, an institute level award for career achievement.