Sengupta, Saptarshi

Assistant Professor, Department of Computer Science


Phone: 408-924-4808

Research Interests: Cyber Physical Systems, Risk/Reliability Analysis, Deep Learning, Complex Systems


Ph.D. in Electrical Engineering, Vanderbilt University

M.S. in Electrical Engineering, Vanderbilt University

B.Tech. in Electronics and Communication Engineering, West Bengal University of Technology

Licenses and Certificates

Vanderbilt Certificate in College Teaching

Stanford Energy Innovation and Emerging Technologies


Dr. Saptarshi Sengupta is an Assistant Professor of Computer Science at San José State University (CSU - San Jose) and a computational scientist working at the intersection of Resilient Cyber Physical Systems and Deep Learning. At SJSU he leads the Machine Intelligence and Complex Systems (MICoSys) lab in the CS Department. His work looks at the integration and statistical analyses of machine learning and nature-inspired computing in complex systems for simulated and real-world environments.

In 2023, Dr. Sengupta was classified as an 'Alien of Extraordinary Ability' (colloquially known as the 'Einstein' visa) by the United States Citizenship and Immigration Services (USCIS) for demonstrating extraordinary ability in the sciences through sustained international acclaim. Dr. Sengupta has won numerous accolades, including several best paper awards in international conferences and his work has led to the distinguished 'Dr. T.M.A. Pai Gold Medal Award' for outstanding research contributions in healthcare AI. Dr. Sengupta is a member of the IEEE.


Machine Intelligence and Complex Systems (MICoSys) Research Lab

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