Subbarao Kambhampati

Subbarao Kambhampati is a professor at Arizona State University whose research spans core topics in artificial intelligence, automated planning, and human–AI interaction. His recent work examines the interplay between planning algorithms and large language model reasoning, investigating interpretability, trace-based reasoning, and the limitations of current chain-of-thought approaches for structured problem solving. Kambhampati's research program includes robust planning architectures, human–robot teaming models, and methods for making reasoning traces interpretable and useful for downstream decision-making. He has published extensively in top venues and contributed to community-building through workshops and editorial roles; his work addresses both foundational questions in planning and practical concerns about deploying AI systems that must coordinate with humans in real-world settings. His recent publications and panels reflect an active engagement with the emerging challenges of LLM-based reasoning, explainability, and the theory-practice gap in modern AI systems.