I am a Ph.D. candidate in the School of Computing and Augmented Intelligence at Arizona State University, working with Prof. Siddharth Srivastava. I am also affiliated with UC Berkeley's Center for Human-Compatible Artificial Intelligence, and ASU's Center for Human, Artificial Intelligence, and Robot Teaming. I have completed M.Tech. from Department of Computer Science & Engineering at IIT Guwahati, advised by Prof. Pradip K. Das.
My primary interests lie in AI safety, AI planning, action-model learning, and analysis of abstractions. My research focuses on safe and reliable behavior of AI agents. I am currently investigating the minimal set of requirements in an AI system that would enable a user to assess and understand the limits of its safe operability.
In the past, I have worked in the areas of bio-inspired robotics, speech processing, and internet of things.
Our work Epistemic Exploration for Generalizable Planning and Learning in Non-Stationary Settings has been accepted at ICAPS 2024. Preprint coming out soon!!
Two of our extended abstracts User-Aligned Autonomous Capability Assessment of Black-Box AI Systems and Can LLMs translate SATisfactorily? Assessing LLMs in Generating and Interpreting Formal Specifications have been accepted at AAAI 2024 Spring Symposium on User-Aligned Assessment of Adaptive AI Systems. Preprints coming out soon!!
Received the Spring 2024 ASU GPSA JumpStart Research Grant.
Co-organizing the AAAI 2024 Spring Symposium on User-Aligned Assessment of Adaptive AI Systems with Rohan Chitnis, Georgios Fainekos, Hazem Torfah, and Siddharth Srivastava.