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. 

Nick Sahinidis is the Butler Family Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering and the School of Chemical and Biomolecular Engineering at Georgia Tech. His current research activities are at the interface between computer science and operations research, with applications in various engineering and scientific areas, including: global optimization of mixed-integer nonlinear programs: theory, algorithms, and software; informatics problems in chemistry and biology; process and energy systems engineering. Sahinidis has served on the editorial boards of many leading journals and in various positions within AIChE (American Institute of Chemical Engineers). He has also served on numerous positions within INFORMS (Institute for Operations Research and the Management Sciences), including Chair of the INFORMS Optimization Society. He received an NSF CAREER award, the INFORMS Computing Society Prize, the MOS Beale-Orchard-Hays Prize, the Computing in Chemical Engineering Award, the Constantin Carathéodory Prize, and the National Award and Gold Medal from the Hellenic Operational Research Society. Sahinidis is a member of the U.S. National Academy of Engineering and a fellow of AIChE and INFORMS.

Nian Liu began as an Assistant Professor at Georgia Institute of Technology, School of Chemical and Biomolecular Engineering in January 2017. He received his B.S. in 2009 from Fudan University (China), and Ph.D. in 2014 from Stanford University, where he worked with Prof. Yi Cui on the structure design for Si anodes for high-energy Li-ion batteries. In 2014-2016, he worked with Prof. Steven Chu at Stanford University as a postdoc, where he developed in situ optical microscopy to probe beam-sensitive battery reactions. Dr. Liu 's lab at Georgia Tech is broadly interested in the combination of nanomaterials, electrochemistry, and light microscopy for understanding and addressing the global energy challenges. Dr. Liu is the recipient of the Electrochemical Society (ECS) Daniel Cubicciotti Award (2014) and American Chemical Society (ACS) Division of Inorganic Chemistry Young Investigator Award (2015).

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).

Grover’s research activities in process systems engineering focus on understanding macromolecular organization and the emergence of biological function. Discrete atoms and molecules interact to form macromolecules and even larger mesoscale assemblies, ultimately yielding macroscopic structures and properties. A quantitative relationship between the nanoscale discrete interactions and the macroscale properties is required to design, optimize, and control such systems; yet in many applications, predictive models do not exist or are computationally intractable.

The Grover group is dedicated to the development of tractable and practical approaches for the engineering of macroscale behavior via explicit consideration of molecular and atomic scale interactions. We focus on applications involving the kinetics of self-assembly, specifically those in which methods from non-equilibrium statistical mechanics do not provide closed form solutions. General approaches employed include stochastic modeling, model reduction, machine learning, experimental design, robust parameter design, and estimation.

The Glass research group studies the microbes that made Earth habitable, and, more specifically, the microbial mechanisms underpinning cryptic transformations of methane and nitrous oxide in oxygen-free ecosystems. Why focus on the microbial world? The Earth has been constantly inhabited for four billion years. For three-quarters of that time, life was solely microbial. Ancient microbes produced the gases that warmed the planet to clement temperatures when the sun was faint, and that invented the molecular machines that drive biogeochemical cycles. The co-evolution of Earth and life is woven into the fabric of our research group, which examines the interplay between microbes and the greenhouses gases that control planetary temperature. Our research informs the microbial metabolisms that (i) made the early Earth habitable for life, (ii) make the deep subsurface habitable for life, (iii) serve as biosignatures for life on exoplanets, and (iv) play crucial roles in regulating atmospheric fluxes of greenhouse gases on our warming planet.

Tim Lieuwen is the executive vice president for Research at the Georgia Institute of Technology. In this role, he oversees the Institute’s $1.4+ billion portfolio of research, economic development, and sponsored activities. This includes leadership of the Georgia Tech Research Institute (GTRI), the Enterprise Innovation Institute, 11 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) and served 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. Rodgers is the director of the Georgia Tech Air Quality Laboratory, holding academic and/or research appointments in the Georgia Tech Schools of Civil and Environmental Engineering, Earth and Atmospheric Sciences, and Public Policy. Dr. Rodgers has a long and distinguished record in air quality research, serving as principal investigator on research projects totaling more than $20 million since 1988 including numerous projects on field and laboratory measurements of pollutants and instrument development and intercomparison. Current activities include managing projects GRASP (Georgia Rural Aerosol Sampling Program) and ON-RAMP (On-Road Ammonia Measurement Program) both of which focus on particulate emissions, conversion and fate. In the area of mobile source emissions, he directs Georgia Tech's efforts in vehicle remote sensing and model validation and is Co-Principal Investigator on the development of the MEASURE model. Dr. Rodgers serves on EPA�s Mobile Source Technical Advisory Subcommittee and Emissions Modeling Workgroup, the U.S. Technical Advisory Group to the International Standards Organization, ASTM International�s Committee D-22 on the Analysis of Atmospheres as well a numerous other technical and policy advisory committees.

Research

Modeling and simulation of vehicle activity and emissions, Statistical analysis of vehicle emissions data, Environmental policy analysis, Laboratory and field measurements of gaseous and particulate pollutants including vehicle remote sensing and instrumented vehicles