Subbarao Kambhampati
Subbarao Kambhampati earned a Maryland doctorate in 1989 and moved to Arizona State in 1991. His research interests include planning, machine learning and case-based reasoning. Kambhampati coauthored The Emerging Landscape of Explainable AI Planning and Decision Making with Tathagata Chakraborti and Sarath Sreedharan. The paper organizes research on explaining planning systems by techniques, users and delivery methods. His paper Can Large Language Models Reason and Plan? examines the planning and reasoning capabilities of large language models. It extends a documented career in planning into the evaluation of generative AI systems.
- Now at
- Arizona State University
- Works
- 571
- Citations
- 10,293
- h-index
- 50
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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1989–1991
Doctorate and ASU
Subbarao Kambhampati earned a Maryland doctorate in 1989 and moved to Arizona State in 1991. His research interests include planning, machine learning and case-based reasoning.
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2020
Explaining AI plans
Kambhampati coauthored The Emerging Landscape of Explainable AI Planning and Decision Making with Tathagata Chakraborti and Sarath Sreedharan. The paper organizes research on explaining planning systems by techniques, users and delivery methods.
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2024
Language models and planning
His paper Can Large Language Models Reason and Plan? examines the planning and reasoning capabilities of large language models. It extends his planning research into the evaluation of generative AI systems.
Sources and credits
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