Sengupta, Saptarshi

Assistant Professor, Department of Computer Science                     

Lead, Machine Intelligence and Complex Systems Lab


Phone: 408-924-4808

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

Courses Taught: Machine Learning, Programming Paradigms


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 José) and a computational scientist working at the intersection of Resilient Cyber Physical Systems and Machine 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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