Pulkit Verma (पुलकित वर्मा | புல்கித் வர்மா)

Assistant Professor, Department of Computer Science and Engineering, IIT Madras

pulkit_verma.jpg

SSB 304, Dept. of CSE,

IIT Madras, Chennai,

TN - 600036 (India)

I am an Assistant Professor at the Department of Computer Science and Engineering, IIT Madras. Before this, I was a Postdoctoral Associate in the Interactive Robotics Group at MIT CSAIL, working with Prof. Julie Shah. I completed my Ph.D. from the School of Computing and Augmented Intelligence at Arizona State University, working with Prof. Siddharth Srivastava. During my Ph.D., I was 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.

At IIT Madras, I lead the Human-Aligned Intelligent Learning Systems (HAILS) Group within the AIDB Lab. My primary interests lie in AI safety, AI planning, action-model learning, interpretability, 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. I am also a co-PI at the Center for Responsible AI (CeRAI) at IIT Madras.

In the past, I have worked in the areas of bio-inspired robotics, speech processing, and internet of things.


News

Jul 05, 2026 Our work Learn Where Outcomes Diverge: Efficient VLA RL via Probabilistic Chunk Masking has been accepted at ICML 2026 Workshop on Reinforcement Learning from World Feedback. Joint work with Vaidehi Bagaria and Nikshep Grampurohit.
Jun 30, 2026 New Preprint Available: Indi-RomCoM: Code-Mixed Benchmark for Evaluating LLMs on Romanized Indic-English Instructions. Joint work with Avisha Das, Mihir Parmar, and Mohana Ramnath.
Jun 26, 2026 Our work Learning HTNs from Visual Demonstration with Vision-Language Models: Preliminary Results has been accepted at ICAPS 2026 Workshop on Hierarchical Planning. Joint work with Ngoc La, Karthik Mahadevan, and Julie A. Shah.
Jun 26, 2026 Our work Autonomous Assessment of Generalizability of AI Agent Capabilities has been accepted at ICAPS 2026 Workshop on Generalization in Planning. Joint work with Daniel Bramblett, Rushang Karia, Adrian Ciotinga, YooJung Choi, and Siddharth Srivastava.
Jun 04, 2026 New Preprint Available: Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts. A three-round Delphi study with 272 international AI experts rating the probability, severity, and responsibility for 24 AI risks. Joint work with Alexander K. Saeri and 270 other international AI safety and policy experts, coordinated through the MIT AI Risk Repository.

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