Scholar
Amit Sheth
Google Scholar ID: 2T3H4ekAAAAJ
NCR Chair & Prof.; Founding Director, AI Institute; U. of South Carolina
Citations & Impact
Citations
16,341
H-index
63
i10-index
277
Publications
20
Co-authors
175
list available
Publications
Resume (English only)
Academic Achievements
- IEEE Computer Society W. Wallace McDowell Award (2023) for pioneering contributions to information integration, data/service semantics, and knowledge-enhanced computing
- Elected ACM Fellow (2021) for contributions to data semantics and knowledge-enhanced computing
- IEEE TCSVC Research Innovation Award for pioneering research in distributed workflow processes
- h-index = 99; among top 100 in CS and top-cited in WWW and DB fields
- PhD advisees have average citation count of 1,700+ and mean of 1,378 (as of 07/2016)
- Delivered 55+ keynote speeches
- Secured over $27M in research funding and $6M+ in commercialization funding
Research Experience
- NCR Chair and Professor of Computer Science & Engineering at the University of South Carolina (USC)
- Founding Director of the Artificial Intelligence Institute of South Carolina (AIISC) (07/2019–09/2023), grew it to nearly 50 researchers
- Former LexisNexis Ohio Eminent Scholar
- Former Executive Director of Kno.e.sis—the Ohio Center of Excellence in Knowledge-enabled Computing and BioHealth Innovation
- Built three world-class academic research organizations: LSDIS, Kno.e.sis, and AI Institute@UofSC
- Led translational research projects involving most colleges/schools at USC and previous institutions
Background
- Educator, researcher, and entrepreneur
- Working towards a vision of 'Computing for Human Experience'
- Research focuses on the third wave of AI inspired by neuroscience and cognitive science, including civilized & human-value-inspired AI, knowledge-empowered neuro-symbolic/hybrid AI, and semantic/cognitive/perceptual computing
- Recent interests include grounding, alignment, instructability, reasoning, analogy, interpretability, explainability, and safety in intelligent, robust, and trustworthy AI
- Extensive interdisciplinary research in digital/personal/connected health, public health, cognitive science, neuroscience, smart manufacturing, biomedicine, education, social good, and social harm (e.g., disinformation, extremism)
- Emphasizes real-world impact through open-source, social entrepreneurship, tech transfer, commercialization, and regional economic development
