Tim Lieuwen is the interim executive vice president for Research (EVPR) at the Georgia Institute of Technology. In this role, he oversees the Institute’s $1.37 billion portfolio of research, economic development, and sponsored activities. This includes leadership of the Georgia Tech Research Institute (GTRI), the Enterprise Innovation Institute, nine interdisciplinary research institutes (IRIs), and related research administrative support units.

In his 25-plus years at Georgia Tech, Lieuwen earned his master's and Ph.D. degrees in mechanical engineering (1996 and 1999, respectively) and has held multiple leadership positions. He has been the executive director of the Strategic Energy Institute (SEI) since 2012 and began serving as the interim chair of the Daniel Guggenheim School of Aerospace Engineering in 2023.

Lieuwen has received numerous honors and recognition for his work in clean energy systems and policy, national security, and regional economic development. Additionally, he has been awarded the titles of Regents’ Professor and the David S. Lewis, Jr. Chair in AE. He is also a member of the National Academy of Engineering and is a fellow of the American Society of Mechanical Engineers and the American Institute of Aeronautics and Astronautics.

Dr. Omar I. Asensio is an Assistant Professor in the School of Public Policy at the Georgia Institute of Technology. His research focuses on the intersection of big data and public policy, with applications to energy systems and consumer behavior, smart cities, and machine learning in transportation and electric mobility. He directs the Data Science and Policy Lab at Georgia Tech, where he collaborates with the private sector and city governments on data innovations in policy analysis and research evaluation. He is a faculty affiliate at the Institute for Data Engineering and Science (IDEaS), the Machine Learning Center, and the Strategic Energy Institute. Dr. Asensio’s research has been published in leading journals such as Nature Energy, Nature Sustainability, and PNAS. His work uses statistical and computational tools to advance our understanding of how large-scale civic data and experiments can be used to increase participation in civic processes, while addressing resource conservation and environmental sustainability. Dr. Asensio’s research also has been featured in policy advisory communications by the European Commission, NSF Public Affairs, the World Bank, and national governments — including the U.K., and the IndiaAI initiative.

Dr. Asensio is a member of the New Voices 2021-2023 cohort of the National Academies of Sciences, Engineering and Medicine. He is a recipient of the National Science Foundation CAREER award, the Association for Public Policy Analysis and Management (APPAM) 40-for-40 fellowship, and the ONE-NBS Research Impact on Practice award by the Organizations and the Natural Environment (ONE) Division of the Academy of Management. Dr. Asensio serves as Associate Editor of Data and Policy journal published by Cambridge University Press. He holds a doctorate in environmental science and engineering from UCLA with field specialties in economics. He is a faculty participant in the Research University Alliance (RUA) Research Exchange and is engaged in multiple activities to increase the representation of women and under-represented students and professionals in STEM fields. 

Dr. Jian Luo completed his undergraduate and M.S. studies at Tsinghua University, Beijing, where he received a B.Sc.(Eng.) and a M.S. degree in Environmental Engineering in 1998 and 2000, respectively. He completed his Ph.D. in 2006 in Department of Civil and Environmental Engineering at Stanford University, California. The research Dr. Luo is conducting involves field, theoretical, and computational investigations of flow and reactive transport in subsurface; development and application of geostatistical methods for the spatial and temporal analysis of hydrogeologic and biochemistry data; development of computational algorithms and programs to simulate subsurface flow and reactive transport, and to assess the associated uncertainty; inverse modeling to estimate flow and transport parameters under uncertainty; and use of such computational methods and models to assess subsurface contamination, and to aid the optimal design of groundwater remediation operations.

Morris Cohen received his B.S. and Ph.D. degrees in Electrical Engineering from Stanford University in 2003 and 2010, respectively, and served as a research scientist until August 2013. From September 2012 until August 2013, Dr. Cohen was appointed as AAAS Science and Technology Policy Fellow at the National Science Foundation. 

In Fall 2013, he joined the faculty in the School of ECE. He is a winner of the NSF CAREER Award in 2017, the ONR Young Investigator Award in 2015, and was chosen for the Santimay Basu Prize in 2014, an award given once per 3 years to an under-35 scientist by the International Union of Radio Science (URSI). 

Dr. Cohen is interested in the natural electricity of the Earth, including lightning, the electrically charged upper atmosphere, and the radiation-filled space environment. He uses radio waves at low frequencies measured all around the world to understand them, and develops resulting practical applications. His group also works on novel techniques to generate low frequency waves with nonconventional electrically-short antennas. He is an author of more than 60 journal publications. He employs a “flipped classroom” model in some of his courses to make the experience more active and engaging. 

He enjoys hiking, cooking, and traveling the world for work and play with his family.

Tom Conte holds a joint appointment in the Schools of Electrical & Computer Engineering and Computer Science at the Georgia Institute of Technology. He is the founding director of the Center for Research into Novel Computing Hierarchies (CRNCH). His research is in the areas of computer architecture and compiler optimization, with emphasis on manycore architectures, microprocessor architectures, back-end compiler code generation, architectural performance evaluation and embedded computer system architectures.

Professor Menon joined Flow Industries, Kent, Washington, as a research scientist, and in 1988, became a senior scientist and program manager for the computational fluid dynamics group in Quest Integrated, Inc. (formerly called Flow Research, Inc.). At Quest, Menon led research teams in various research projects such as the active control of combustion instability in ramjet engines, supersonic mixing studies, vertical takeoff and landing (VTOL) aircraft fluid dynamics, and hypersonic reentry problems. In 1992, he joined Georgia Institute of Technology as an associate professor and became a professor in 1997. He is currently the Hightower Professor of Engineering in Georgia Tech. Professor Menon is a world renowned expert in large-eddy simulation of turbulent reacting and non-reacting flows and has developed unique simulation capabilities to study pollutant formation, ozone depletion in high-altitude aircraft jet plumes and combustion in gas turbine and ramjet engines. He has been (and is currently) a principal investigator for a wide range of research projects funded by NASA, Department of Energy, Air Force Office of Scientific Research, Office of Naval Research, Defense Threat Reduction Agency. His work has been (and is also) supported by many industries including General Electric, Pratt & Whitney, Solar Turbines, Boeing, Safran (France), Hyundai (S. Korea), JAXA (Japan), IHI (Japan) and Rocketdyne-Aerojet. He has published and/or presented over 395 papers. Professor Menon is a Fellow of AAAS, Associate Fellow of AIAA, and a member of the American Physical Society, the American Society of Mechanical Engineers, the Combustion Institute and the Sigma Xi. He is a peer reviewer for numerous archival journals, NASA, NSF, DoD and DOE research proposals.

Edmond Chow is a Professor in the School of Computational Science in the College of Computing. He previously held positions at D. E. Shaw Research and Lawrence Livermore National Laboratory. His research is in developing and applying numerical methods and high-performance computing to solve large-scale scientific computing problems and seeks to enable scientists and engineers to solve larger problems more efficiently using physical simulation. Specific interests include numerical linear algebra (preconditioning, multilevel methods, sparse matrix computations) and parallel methods for quantum chemistry, molecular dynamics, and Brownian/Stokesian dynamics.  Chow earned an Honors B.A.Sc. in systems design engineering from the University of Waterloo, Canada, in 1993, and a Ph.D. in computer science with a minor in aerospace engineering from the University of Minnesota in 1997. Chow was awarded the 2009 ACM Gordon Bell prize and the 2002 Presidential Early Career Award for Scientists and Engineers (PECASE).