Sandhya Saisubramanian


I am a Ph.D. candidate, advised by Prof. Shlomo Zilberstein at the University of Massachusetts, Amherst. My research focus is on designing automated planning algorithms for fully and partially observable stochastic systems, in both single and multi-agent scenarios. I am currently interested in building reliable (semi-)autonomous systems that can reason under uncertainty. During the summer of 2019, I interned at NASA Ames Research Center under the supervision of Minh Do and Jeremy Frank.

Prior to embarking on my Ph.D. journey, I worked as a Research Engineer with Pradeep Varakantham at Singapore Management University. I obtained my Masters' degree from National University of Singapore.

Research Interests

My research interests are broadly in Artificial Intelligence, Optimization and Machine (Reinforcement) Learning. My long term goal is to build autonomous systems that complement human intelligence, which includes, but not limited to: (i) building autonomous systems that are reliable and safe and (ii) building intelligent and interpretable decision-support systems for real-world environments.