Jeffrey O. Kephart

IBM (United States), IBM Research - Thomas J. Watson Research Center

Papers

Total Citations

H-Index

About

Jeffrey O. Kephart is a pioneering researcher in autonomic computing and human-AI interaction, best known for his foundational work on self-managing systems and robotic data center monitoring. His key research areas include autonomous systems, theory of mind in artificial intelligence, and energy-efficient data center management. Kephart’s major contributions include developing an inexpensive mobile robot capable of autonomously navigating and mapping unfamiliar data centers, monitoring critical metrics like air temperature, and enabling real-time self-diagnosis—a breakthrough that reduces human intervention and improves operational efficiency. His 2011 paper "Towards data center self-diagnosis using a mobile robot" (36 citations) and related work on robotic mapping (26 citations) have shaped modern approaches to data center automation. More recently, Kephart has advanced the study of Theory of Mind in human-AI interaction (2024, 16 citations), exploring how AI systems can attribute mental states to humans to improve collaboration. With over 80 combined citations across his most-cited works, Kephart’s research bridges robotics, AI, and systems management, offering practical solutions for complex environments while pushing the boundaries of socially aware AI.