BioPh.D. University of Pennsylvania, 2015M.S. University of Pennsylvania, 2012B.S. PEC University of Technology, India, 2009
"Making things go, where they need to go - autonomously !"Madhur Behl, Assistant Professor
Research interests include: Atificial Intelligence, Robotics, Autonomous Systems, Cyber-Physical Systems, Smart Cities, and Internet of Things
Dr. Madhur Behl is an assistant professor in the departments of Computer Science, and Systems and Information Engineering, and a member of the Cyber-Physical Systems Link Lab at the University of Virginia. He conducts research at the confluence of Machine Learning, Predictive Control, and Artificial Intelligence with applications in Cyber-Physical Systems, Autonomous Systems, Robotics, and Smart Cities.
Examples include: fully autonomous racing at the limits of control (Agile Autonomy), safety of autonomous vehicles (Safe Autonomy), data predictive control for flooding in coastal cities, and AI for building energy optimization.
He received his Ph.D. (2015) and M.S. (2012), in Electrical and Systems Engineering, both from the University of Pennsylvania. Dr. Behl is the winner of the American Control Conference (ACC 2017) Best Energy Systems Paper Award, TECHCON Best Paper Award (2015), and the best demo award at BuildSys, 2012. In 2016 he won the Department of Energy’s Allegheny Cleantech university prize. In 2011, he won the World Embedded Software Contest held in Seoul by the Korean Ministry of Knowledge Economy. He is also the recipient of the Richard K. Dentel Memorial Prize awarded by the University of Pennsylvania for research and excellence in urban transportation. He is the co-founder, organizer, and the race director of the F1/10 International Autonomous Racing Competitions. He is the recipient of the NSF CAREER award (2021).
He is an associate editor for the SAE Journal on Connected and Autonomous Vehcile. He also serves on the on the Academic Advisory Council of the Partners for Automated Vehicle Education (PAVE) campaign, to help promote public understanding about autonomous vehicles and their potential benefits.