Pitu Mirchandani is Professor of Computing, Informatics, Decision Systems Engineering, at Arizona State University. He the AVNET Chair for Supply Chain Networks and the Director of the Advanced Traffic and Logistics Algorithms and Systems Laboratory (ATLAS). He is also the Chief Scientist of the DHS Center for Accelerating Operations Efficiency, and a Senior Scientist at ASU's Global Institute of Sustainability. Mirchandani has extensive background in Optimization, Predictive Analytics and Stochastic Control. He has used this expertise to develop concepts of Dynamic Stochastic Networks and their management and control, with applications in stochastic networked environments, typically related to transportation and logistics. He is a Fellow of INFORMS and Fellow of IEEE.

Over the course of the last forty years, Dr. Halkias has worked as an educator, researcher, practitioner, and the Federal Government. John has always considered it a responsibility to facilitate education and to try to advance and elevate the practice of Traffic Analysis for improved transportation decision-making. Soon after he started with FHWA in 2000, John initiated FHWA’s Traffic Analysis Tools Toolbox as well as the internal FHWA Traffic Analysis Tools Team. John led and has been actively involved in the initiation of many major FHWA Operations programs areas, including the Integrated Corridor Management (ICM) and Active Transportation and Demand Management (ATDM) programs. John has been an integral member of numerous major research initiatives, including the Next Generation Simulation (NGSIM) program, which developed detailed vehicle trajectory datasets to allow better validation of traffic simulation algorithms, as well as the Connected Vehicle (CV) Pilots Program. In conjunction with managing the development of guidance documents for practitioners on how to collect, manage, evaluate and utilize the multi-dimensional data set “Reliability Space” as tool inputs, John also initiated projects to provide guidance to the practitioners on modern “Big Data” techniques for data quality checks, data visualizations, data analysis techniques and appropriate experimental design.

Jane Lappin chairs the Transportation Research Board Vehicle-Highway Automation Committee, and is founder and co-chair of the annual Automated Vehicles Symposium. She is recently retired as Director of Public Policy and Government Affairs for Toyota Research Institute, where she monitored global regulatory affairs related to highly automated vehicles. Previously, Jane worked for USDOT Volpe Center, where she managed large social science research projects assessing consumer response to advanced vehicle technologies and the impact of those technologies on network performance. Jane served as secretariat to the USDOT international research collaboration on intelligent transportation, and as US co-chair of the US-EU-Japan Automation in Road Transportation Working Group. Ms. Lappin is currently consulting on automated vehicles safety and policy issues.

Gene McHale is a Team Leader in the Federal Highway Administration Office of Operations R&D located at the Turner-Fairbank Highway Research Center in McLean, Virginia. Turner-Fairbank is home to the Saxton Transportation Operations Lab which conducts research in intelligent transportation systems including connected and automated vehicle technologies. Gene has over 30 years’ experience in highway-related research in the government and private sector. He has a B.S. and M.E. in Systems Engineering from the University of Virginia, a Ph.D. in Civil Engineering from Virginia Tech, and he is a licensed professional engineer in the state of Virginia.

As Program Manager for Energy Efficient Mobility Systems (EEMS), part of the Office of Energy Efficiency and Renewable Energy’s Vehicle Technologies Office, David Anderson oversees the U.S. Department of Energy’s $45M-per-year mobility research portfolio. He leads a team responsible for evaluating the energy and mobility outcomes that may result from disruptive transportation technologies such as connected and automated vehicles, shared mobility, and advanced powertrains, and is focused on identifying and developing solutions that support an increase in mobility energy productivity. David earned his Bachelor of Science degree in Computer Engineering from Clemson University, and a Master of Environmental Management degree from Duke University. After spending over 13 years in the semiconductor industry, David joined DOE’s Vehicle Technologies Office in 2009, and has since led numerous research programs focused on improving vehicle and transportation system efficiency.

Peter Vortisch got a diploma degree in computer science and a PhD in civil engineering from the University of Karlsruhe in Germany. He started working with traffic flow simulation in 1985 and was part of the team that developed the academic ancestors of VISSIM at the university. Later he joined PTV, a software and consulting company in Karlsruhe, where he worked for 13 years in the area of traffic management and traffic flow simulation software as a development and product manager. Finally, as a vice president he was responsible for the traffic engineering software, including VISSIM. In 2010 he became a full professor at KIT, the Karlsruhe Institute of Technology, as the head of the Institute of Transport Studies, the same institute from which PTV was founded 30 years before. His research interests include, besides traffic flow simulation, travel behavior studies and microscopic transport demand modeling.