Amit Sheth
AIISC, Columbia, SC, USA
Founding Director
Biography
Prof. Amit Sheth is an Educator, Researcher, and Entrepreneur. He is the founding director of the university-wide Artificial Intelligence Institute at the University of South Carolina (#AIISC). Previously, he was the LexisNexis Ohio Eminent Scholar and the executive director of the Ohio Center of Excellence in Knowledge-enabled Computing. He is a Fellow of IEEE, AAAI, AAAS, and ACM. He has organized ~100 international events (general/program chair, organization committee chair), >80+ keynotes, given many well-attended tutorials, and is among the well-cited computer scientists. He has (co)founded four companies, including three by licensing his university research outcomes. These include the first Semantic Web company in 1999 that pioneered technology similar to what is found today in Google Semantic Search and Knowledge Graph.
Talks and Events
2022 Tutorial: Knowledge-infused Reinforcement Learning
Virtual health agents (VHAs) have received considerable attention, but the early focus has been on collecting data, helping patients follow generic health guidelines, and providing reminders for clinical appointments. While presenting the collected data and frequency of visits to the clinician is useful, further context and personalization are needed for a VHA to interpret and understand what the data means in clinical terms. This has made their use in managing health limited. Such understanding enables patient empowerment and self-appraisal — i.e., aiding the patient in interpreting the data to understand the changes in the patient’s health conditions, and self-management — i.e., to help a patient better manage their health through better adherence to the clinician guidelines and clinician recommended care plan. Crisis conditions such as the current pandemic have further stressed our healthcare system and have made the need for such advanced support more attractive and in demand. Consider the rapid growth in mental health because the patients who already had mental health conditions worsen, and many develop such conditions due to the challenges arising from lockdown, isolation, and economic hardships. The severe lack of timely availability of clinical expertise to meet the rapidly growing demand provides the motivation for advancing this research in developing more advanced VHAs and evaluating it in the context of mental health management.
2020 Panel: Frontiers in Data Intelligence
Moderator:
Panelists:
View the complete panel talk in the KGC media library.
