I recently completed my Ph.D. from 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.
News
Successfully defended my doctoral dissertation Data-Efficient Paradigms for Personalized Assessment of Taskable AI Systems. Thanks to my advisor Siddharth Srivastava, and committee members Nancy Cooke, Georgios Fainekos, and Yu “Tony” Zhang. Slides and Video now available too.
Our work Epistemic Exploration for Generalizable Planning and Learning in Non-Stationary Settings has been accepted at ICAPS 2024.
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.
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.