
Subhadeep Chakraborty
دانشیار · Data-driven system identification
University of Tennesseeمعرفی
Subhadeep Chakraborty is an Associate Professor in the Department of Mechanical, Aerospace and Biomedical Engineering at the University of Tennessee, Knoxville. He holds a PhD from Pennsylvania State University and has been affiliated with UT since 2010. His research focuses on data-driven system identification, failure mitigation in complex systems, and socio-cultural dynamics in networked societies. He also develops electrochemical sensors for environmental contaminant detection and models behavioral patterns in traffic and evacuation scenarios.
- Education: PhD/MSEE (2010), MSME (2007) from Penn State; BS (2004) from Jadavpur University
Research interests span fault detection in electric motors, two-phase flow analysis, and safety-enhanced autonomous systems. His work integrates signal processing, machine learning, and control systems to address challenges in transportation, energy, and biomedical engineering.
Recent publications highlight advancements in driver impairment detection, autonomous vehicle safety testing, and decentralized traffic management systems. He has contributed to datasets for connected vehicle analysis and virtual reality-based evacuation studies.
Professional service includes roles as an IEEE/ASME member and reviewer for major conferences like CDC and ACC. His work emphasizes translating theoretical models into practical safety solutions through interdisciplinary collaboration.





