
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.
News
Awarded SCAI Doctoral Fellowship by School of Computing and Augmented Intelligence, Arizona State University.
Our work Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks has been accepted at EMNLP 2022.
Giving a talk on Discovering User-Interpretable Capabilities of Black-Box AI Agents at CHAI’s 6th Annual Workshop. Slides available here.
Our work JEDAI: A System for Skill-Aligned Explainable Robot Planning won the Best Demo Award at AAMAS 2022.
Our work Discovering User-Interpretable Capabilities of Black-Box Planning Agents has been accepted at KR 2022.