Sai Kiran

Sai Kiran is interested in Reinforcement Learning, Edge AI, Neurosymbolic methods, and several related areas. He holds an MS in Computer Science from UT Austin, where he was advised by Prof. Peter Stone. His Master’s thesis explored decision-making problems that arise due to computational constraints in perception for humanoid robot soccer. Previously, he was a project associate at the Robert Bosch Centre for Data Science and AI, where he worked on problems in Robust RL with Profs. Balaraman Ravindran and Nandan Sudarsanam. He also graduated from IIT Madras with a Dual Degree in Electrical Engineering, and was advised by Profs. Balaraman Ravindran and Venkatesh Ramaiyan.