Sandhya Saisubramanian

Sandhya Saisubramanian is an Assistant Professor in the School of Electrical Engineering and Computer Science (EECS) at Oregon State University. Her research focuses on the foundations and applications of automated planning, reinforcement learning, decision theory, and safe and reliable AI systems. She earned her Ph.D. in Computer Science from the University of Massachusetts Amherst in 2021.

Her research interests emphasize mitigating negative side effects in AI systems, multi-agent coordination, and user-aligned AI safety. She has contributed to frameworks like REVEALE for reward verification and learning using explanations, as well as WOFOSTGym, a crop management simulation environment. Her work addresses challenges in autonomous systems operating in open-world environments.

• Education: Ph.D., Computer Science, University of Massachusetts Amherst (2021)

Dr. Saisubramanian has been recognized with the Distinguished Paper Award at IJCAI 2020 and serves as a reviewer for top venues like AAAI, IJCAI, and ICAPS. She teaches AI 539: Safe and Reliable Autonomy, reflecting her commitment to advancing trustworthy AI systems.

Her research explores intersections between automated planning, reinforcement learning, and safety-critical applications. Current projects include minimizing side effects in multi-agent systems and developing adaptive querying techniques for reward learning from human feedback.