Saptarshi Sengupta

Saptarshi Sengupta is an academic and researcher specializing in computer science, particularly at the intersection of resilient Cyber Physical Systems and Deep Learning. He has a notable academic background and professional trajectory, having served as an Assistant Professor of Computer Science at Murray State University from August 2020 to May 2022. His work involves the integration and statistical analyses of machine learning, focusing on both simulated and real-world environments.

Academic Background

• PhD in Electrical Engineering from Vanderbilt University, completed in December 2019.
• Bachelor's degree in Physics from Drexel University.
• Additional education includes a B.Tech in Electronics and Communication Engineering from Netaji Subhash Engineering College.

Professional Experience

• Assistant Professor of Computer Science at Murray State University (August 2020 - May 2022).
• Previously worked as a Machine Learning Scientist at Universal Robotics and held various teaching and research positions at Vanderbilt University.
• Currently directs the Sengupta Lab, focusing on machine intelligence and complex systems.

Research Interests

Sengupta's research emphasizes:

• The development of resilient systems that integrate machine learning techniques.
• Nature-inspired computing methods for complex systems analysis.

He actively seeks collaboration with motivated students and researchers interested in applied AI research.1