Saptarshi Sengupta

Saptarshi Sengupta is an Assistant Professor of Computer Science at Murray State University with a focus on machine learning, deep learning, and evolutionary paradigms in various computational applications.

He holds a Ph.D. in Electrical Engineering from Vanderbilt University and has a strong educational background with certificates in teaching, energy innovation, and emerging technologies.

Saptarshi Sengupta has been associated with reputable organizations like IEEE, Taylor & Francis Group, ACM, Elsevier, MDPI, and Springer Nature as a reviewer.

His professional experience spans roles such as Machine Learning Engineer and Test Engineering Intern at Universal Robotics, along with academic positions like Guest Lecturer and Graduate Teaching Assistant at Vanderbilt University.

Additionally, he has held positions as a Research Assistant and Intern in various institutions and has even participated in the NASA Ames Space Settlement Contest.