معرفی
Subbarao Kambhampati is a Professor of Computer Science at Arizona State University (ASU), affiliated with the School of Computing and Augmented Intelligence and the Global Futures Scientists and Scholars initiative. He specializes in artificial intelligence, focusing on planning, decision-making, and human-aware AI systems. His research explores challenges in automated planning, human-robot interaction, and the societal impacts of AI advancements.
Education: Ph.D. and M.S. in Computer Science from the University of Maryland-College Park (1989), and B.Tech. from Indian Institute of Technology-Madras.
Research Interests: Dr. Kambhampati's work centers on foundational AI problems, including reasoning, planning, and decision-making under uncertainty. He emphasizes human-centric AI, investigating trust dynamics, cooperative human-AI teaming, and ethical implications of AI systems. His contributions include frameworks like RADAR for user-adaptive decision support and QUIC for handling imprecise data in autonomous systems.
Recent Publications: His 2025 work critiques deep learning's limitations, analyzes LLM planning capabilities, and explores trust models in human-robot interactions. Key themes include AI explainability, robust planning with LLMs, and cooperative behavior evaluation in human-AI collaborations.
- Scientific Awards:
- Fellow of AAAI, AAAS, and ACM
- NSF Young Investigator Award
- Grants and Projects:
- Multi-year funding from NSF, ONR, and DARPA for planning frameworks, human-robot teaming, and AI ethics
- Leadership in initiatives like Digital Antiquity and Partnership on AI
- Labs/Teams: Active in interdisciplinary research groups at ASU, including the School of Computing and Augmented Intelligence, and collaborates globally on AI policy and societal impact.
