Qichao Wang is a Postdoctoral Researcher - Computational Science in the Complex Systems Simulation and Optimization group at the National Renewable Energy Laboratory. He obtained his Ph.D. from Virginia Tech in the Transportation Infrastructure and Systems Engineering program. His work has been mainly focused on modeling and simulation, optimization, and control for transportation systems.

Dr. Evangelos Kaisar is a Professor and Director of the Geomatics and Transportation Engineering program at the Department of Civil, Environmental and Geomatics Engineering at FAU. In addition, Dr. Kaisar is the Director of the Freight Mobility Research Institute (FMRI) a USDOT TIER 1 Transportation Center. He holds a BS degree in civil engineering from Greece and a BS, MS and a Ph.D. degree in civil engineering from the University of Maryland at College Park. Dr. Kaisar is an expert in transportation systems analysis, large scale mathematical modeling, traffic management, logistics, and preparedness catastrophic management. Dr. Kaisar has over fifteen years of experience in research and education, as well as, vast experience in managing research programs and administrative expertise. He has served as a member in many Transportation Research Board (TRB) committees. He is also a member of the TRB standing committee on Evacuation Committee (ABR30), American Society of Civil Engineers (ASCE), the Institute of Transportation Engineers (ITE), ITS America, and the Institute for Operations Research and the Management Sciences. Dr. Kaisar is also serving as a member of the Editorial Advisory Board of Transportation Research and is currently Associate Editor of the IEEE Transactions on Intelligent Transportation Systems.

Juliette Ugirumurera is a computational scientist with NREL’s Computational Science Center. She researches parallel computing methods for the simulation and optimization of large-scale transportation systems. Previously, at Lawrence Berkeley National Laboratory, she developed high-performance computing algorithms and simulation for large-scale traffic assignment problems. While working on her doctorate, she developed models and algorithms for Microgrid and electric vehicle grid planning. Her research interest include high performance computing, modeling and simulation, algorithm design and transportation.

Qing Tang is a Ph. D. Student in Transportation Engineering at Missouri S&T. Her research focuses on big data analytics and applications, travel behavior, and traffic flow and system modeling. She earned a Bachelor degree in Information and Computing Science, and a Master degree in Insurance in Risk Management . Prior to joining MST, she worked as a Financial Manager in China Construction Bank for 4 years.