Jeffrey O. Kephart is a distinguished research scientist at IBM Research in Yorktown Heights, NY. Known for his work on computer virus epidemiology and immune systems, electronic commerce agents, self-managing computing systems, and data center energy management, he presently leads research in the area of symbiotic cognitive systems and serves as co-strategist for embodied cognition. Kephart’s research has been featured in Scientific American, The New York Times, Wired, Forbes, The Atlantic Monthly, Discover Magazine, and comparable publications. He has co-authored over 40 issued US patents and 150 papers, which have received over 19,000 citations. Kephart has delivered keynotes on multi-agent systems research and development at several conferences and workshops, and led teams that have created commercial products in areas that include anti-virus technology and data center energy management. In 2013, he was awarded the rank of IEEE Fellow for his leadership and research in founding autonomic computing as an academic discipline. Kephart graduated from Princeton University with a BS in electrical engineering (engineering physics) and received his PhD from Stanford University in electrical engineering, with a minor in physics.
Jeffrey Kephart
Distinguished RSM, Symbiotic Cognitive Systems
IEEE Fellow
Member, IBM Academy of Technology
Participant In These Roundtable Discussions
Sat
Oct 22nd
2016
Oct 22nd
2016
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Embodied AI
This roundtable examines the concept of embodied cognition and its implications for artificial intelligence systems that integrate perception, action, and interaction with the physical world. It considers how technologies such as machine learning and natural language processing, when combined with sensory and motor capabilities, can move beyond abstract computation to engage with real-world environments, augment human abilities, and support complex tasks across domains such as healthcare, industry, and human–machine collaboration.