Bio

Ph.D. ​University of Pennsylvania, 2015M.S. ​University of Pennsylvania, 2012B.S. ​PEC University of Technology, India, 2009

"I conduct research at the confluence of Machine Learning, Predictive Control, and Artificial Intelligence with applications in Cyber-Physical Systems, Autonomous Systems, Robotics, and Smart Cities"

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 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.

Awards

  • Best Systems Design Award - For ”Autonomous Electric Vehicle Charging System", Systems and Information Engineering Design Symposium (SIEDS). 2019
  • Best Research Poster Award - 5th ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys) 2018
  • Best Energy Systems Paper Award - American Control Conference (ACC) 2017
  • Winner of the 2106 DoE EERE’s Allegheny Region Cleantech University Prize, Carnegie Mellon University, Pittsburgh, USA. 2016
  • Best Paper Award , for ”Sometimes, Money Does Grow on Trees: Data-Driven Demand Response with DR-Advisor, Internet of Things Session at the Semiconductor Research Corporation’s (SRC) TECHCON, Austin, USA. 2015
  • Best Demo Award at BuildSys, 4th ACM Workshop On Embedded Systems For Energy-Efficiency In Buildings, Toronto, Canada. 2012
  • Richard K. Dentel Memorial Prize in Urban Transportation, University of Pennsylvania, Philadelphia, USA. 2011
  • Winner of the World Embedded Software Contest, Korean Ministry of Knowledge Economy and Electronics and Telecommunications Research Institute (ETRI), Seoul, South Korea. 2010

Research Interests

  • Artificial Intelligence
  • Robotics
  • Cyber-Physical Systems
  • Autonomy and Controls/Control Systems
  • Autonomous Vehciles
  • Smart Buildings/Cities
  • Internet of Things

In the News

Selected Publications

  • Varundev SureshBabu and Madhur Behl, "F1tenth.dev - an Open-Source ROS Based F1/10 Autonomous Racing Simulator" 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)
  • Trent Weiss and Madhur Behl "DeepRacing: Parameterized Trajectories for Autonomous Racing" ABS 2020 arXiv preprint arXiv:2005.05178
  • Trent Weiss, Madhur Behl, "DeepRacing: a framework for autonomous racing" ABS 2020 IEEE Design, Automation & Test in Europe Conference & Exhibition (DATE), Pages 1163-1168
  • Alexander B Chen, Madhur Behl, Jonathan L Goodall, "Trust me, my neighbors say it's raining outside: ensuring data trustworthiness for crowdsourced weather stations" ABS 2018 Proceedings of the 5th Conference on Systems for Built Environments, Pages 25-28 [Best Presentation Award]
  • Madhur Behl, Achin Jain, and Rahul Mangharam “Data-Driven Modeling, Control and Tools for Cyber- Physical Energy Systems” ABS ACM/IEEE Conference on Cyber-Physical Systems, April 2016

Courses Taught

  • F1/10 Autonomous Racing - Perception, Planning, and Control for Autonomous Vehicles Spring '18,'19,'20
  • Principles of Modeling for Cyber-Physical Systems Fall '17,'18,'19,'20

Featured Grants & Projects

  • NSF CRISP Type 2: dMIST: Data-driven Management for Interdependent Stormwater and Transportation Systems


    The overarching objective of this Critical Resilient Interdependent Infrastructure Systems and Processes (CRISP) research project is to create a novel decision support system denoted dMIST (Data-driven Management for Interdependent Stormwater and Transportation Systems) to improve management of interdependent transportation and stormwater infrastructure systems. dMIST is designed specifically to address the critical problem of recurrent flooding caused by sea level rise and more frequent intense storms. The City of Norfolk, Virginia, a national leader in addressing the sea level rise challenge, will collaborate with the research team and serve as the project testbed. With sea level rise and more frequent intense storms, streets in many cities now flood multiple times per year. Flooding of roadways has cascading impacts to other infrastructure systems that depend on the road network including emergency services. Solving the problem of flooded roadways requires new tools capable of analyzing stormwater, transportation, and other infrastructure as interdependent systems. dMIST will be a recommendation system for assisting municipal decision makers and stakeholders in day-to-day operations to mitigate the short-term impacts of road flooding occurrences. It will also offer decision makers novel ways of testing "what if" scenarios that stretch across interdependent infrastructure systems in order to guide how large investments are used to adapt infrastructure systems to a more resilient future

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  • Jefferson Trust: Cavalier Autonomous Racing

    Awarded Amount: $50,000


    The Cavalier Autonomous Racing Club, under the supervision of UVA faculty, will build, develop, program and race an autonomous electric go-kart. Club activity will culminate in a demonstration at the Indianapolis Motor Speedway, home of the Indy 500 race.

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