Pulkit Verma
Ph.D. Candidate @ AAIR LAB, ASU
I am on the job market for postdoctoral and research scientist positions.
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
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.
Two of our works Learning AI-System Capabilities under Stochasticity and Epistemically Guided Exploration for Transferable Stochastic Planning in Non-stationary Relational Settings have been accepted at NeurIPS 2023 Workshop on Generalization in Planning. Preprints coming out soon!!
Received the Fall 2023 ASU GPSA Outstanding Research Award and ASU GPSA Outstanding Mentor Award.
Our work Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings has been accepted at NeurIPS 2023.
I completed my summer research internship at Meta AI. I worked on curriculum personalization with Rohan Chitnis, Alborz Geramifard, and Nitin Kamra.