Jeff Kephart
Scholar

Jeff Kephart

Google Scholar ID: 9Mh6OuQAAAAJ
Distinguished Research Staff Member, IBM Research
autonomic computingembodied artificial intelligenceenergy managementnonlinear dynamicsmachine learning
Citations & Impact
All-time
Citations
5,332
 
H-index
31
 
i10-index
88
 
Publications
20
 
Co-authors
42
list available
Contact
No contact links provided.
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Background
  • Distinguished Research Staff Member at IBM Thomas J. Watson Research Center, leading research on multimodal AI systems.
  • Aims to transform how people visualize and analyze data and make decisions by enabling synergistic verbal and non-verbal (e.g., speaking and pointing) interactions with AI assistants (termed M2A2: Multimodal AI Assistant).
  • Member of the IBM Academy of Technology and IEEE Fellow.
  • Earlier work applied analogies from biology and economics to massively distributed computing systems, focusing on autonomic computing, e-commerce, anti-virus, and anti-spam technologies.
  • His team's research on digital immune systems and economic software agents has been featured in The Wall Street Journal, The New York Times, Forbes, Wired, Harvard Business Review, IEEE Spectrum, and Scientific American.