Dr. Subhadeep Chakraborty is an Associate Professor in Mechanical and Aerospace Engineering at the University of Tennessee. Dr. Chakraborty has developed a nationally recognized research program in intelligent transportation systems and connected and automated vehicles (CAVs), with leadership across major projects funded by the U.S. Department of Transportation, NSF, DHS, Oak Ridge National Laboratory, the Tennessee Department of Transportation, and the University Transportation Centers. A central contribution of his research is the design of vehicle-in-the-loop (ViL) simulation platforms that integrate full-scale automated vehicles into high-fidelity digital twin environments, enabling systematic validation of perception, decision-making, and control under rare-event and safety-critical scenarios. His technical expertise spans multi-agent coordination and control, uncertainty quantification for sensor fusion under domain shift, decentralized intersection management, and human factors in transportation. 

His research has produced over 40 peer-reviewed journal articles and numerous technical reports, including advances in AI-driven driver impairment detection, adversarial testing of ADS perception stacks, and hybrid physical-digital accelerated testing protocols. Dr. Chakraborty’s leadership extends to coordinating multi-agency collaborations with ORNL, TDOT, city traffic departments, and industry partners, translating research outcomes into policy and operational standards for CAV deployment.