Developing the foundations of Safe, and Agile A.I. and Autonomous Systems
Bio:
Dr. Madhur Behl is an Associate Professor in the department of Computer Science at the University of Virginia and an Amazon Scholar. His research spans robotics, autonomous systems, and cyber-physical systems, with a focus on physical AI, autonomous driving, and high-speed decision making.
He is the founder and team principal for UVA’s Cavalier Autonomous Racing team – the first American team to win the Indy Autonomous Challenge. He also co-founded the F1Tenth autonomous racing platform and the international F1Tenth (now Roboracer) Grand Prix competitions.
Dr. Behl received his Ph.D. (2015) and M.S. (2012), in Electrical and Systems Engineering, both from the University of Pennsylvania; and his bachelor's degree (2009) in ECE from PEC University of Technology in India.He is an IEEE Senior Member and the recipient of the NSF CAREER Award. He holds editorial roles spanning the Journal of Field Robotics, IEEE Robotics and Automation Letters (RA-L), ACM Transactions on Cyber Physical Systems (TCPS), and the SAE Journal of Connected and Automated Vehicles - covering the spectrum of robotics, autonomy, and CPS. He was Program Co-Chair (2024) and General Chair (2025) of the ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS). His work has received multiple Best Paper Awards at top venues including IROS, ACC, ICCPS, and BuildSys, as well as major honors such as first place in the DOE Cleantech Prize (2016), winner of the World Embedded Software Contest (2011), and multiple Outstanding Researcher Awards from the University of Virginia. Dr. Behl also serves on the Academic Advisory Council of the Partners for Automated Vehicle Education (PAVE) campaign, advancing public understanding of autonomous vehicles and their societal impact.
I am looking for PhD students and postdocs with a strong background and publication record in robotics, autonomous systems, and cyber-physical systems.
If you are a student at UVA and are interested in research in my lab, consider joining the Cavalier Autonomous Racing team autonomousracing.dev/
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Research
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.
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.
DeepRacing
Safe and Agile Autonomous Vehicles
Scenario2Vector
Automated Embeddings for Traffic Scenarios
dMIST
Data-driven Stormwater and Transportation management
Data Predictive Control (DPC)
Bridging the gap between machine learning and predicitve control synthesis.
F1/10 Autonomous Racing
Build, drive, and race 1/10 scale autonomus cars at the limits of control.
Interactive analytics (IAX)
Answering open-eneded queries using procedural generation and interpretable models.
Model-IQ
Uncertainity propagation from sensor placement to data quality to modeling to control.
MLE+
An open integerated toolbox for cosimulation between MATLAB and EnergyPlus
Green Scheduling
A scalable and lightweight scheduling approach for peak power reduction in buildings.
Enroute
An energy router for peak power reduction in buildings.
mRK OS
NanoRK real time operating system on the mbed (ARM) microcontroller
Gesture Control
Controlling DICOM (medical imaging) viewers with hand gestures.
Get in Touch
Contact:
Office: Link Lab Room 265
Phone: +1 (434) 924-1021
Email: madhur.behl@virginia.edu
Encrypted: madhurbehl@protonmail.com
Office hours: By appointment only
Mailing Address:
Madhur Behl
Link Lab Room 265 , Olsson Hall,
151 Engineers Way,
University of Virginia
Charlottesville, VA 22903
