CS and CII Distinguished Seminar: “Building a human digital twin” (Speaker: Prof. Diane Cook, Washington State Univ.)
Monday, October 11 at 10:00 a.m.
IT building, CS 209
500 W. 15th St., Rolla, MO 65409
(Co-organized by CS Dept and Center for Intelligent Infrastructures, Missouri S&T)
Monday, October 11, 2021 at 10 a.m. CST
https://umsystem.zoom.us/j/91549819586 (Access code: 1234)
Building a human digital twin
Professor Regents and Huie-Rogers Chair
School of Electrical and Computer Engineering
Washington State University
Digital twins are a disruptive technology that can automate human health assessment and intervention by creating a holistic virtual replica of a physical human being. The increasing availability of detection platforms and the maturation of data mining methods make it possible to create such a replica from passively detected longitudinal data. By creating such a quantified self, we can more accurately understand the current and future state of health. We can also anticipate the results of behavioral interventions. In this talk, I will discuss the challenges that accompany the creation of human digital twins in nature, explore emerging data mining methods that address these challenges, and describe some of the current and future impacts that technologies have in supporting our aging population. .
Dr. Diane Cook is Regents Professor and Huie-Rogers Chair at the School of Electrical Engineering and Computer Science at Washington State University, Founding Director of the WSU Center for Advanced Studies in Adaptive Systems (CASAS) and Co-Director of the WSU AI Laboratory. She is a member of the IEEE and the National Academy of Inventors. Diane’s work is featured in BBC, IEEE The Institute, IEEE Spectrum, Smithsonian, The White House Fact Sheet, Scientific American,
the Wall Street Journal, AARP magazine, HGTV and ABC News. His research aims to create smart environments that automate health surveillance and intervention, evaluated through the CASAS Smart Home in a Box installed in more than 160 sites across 9 countries. His research is currently focused on the development of machine learning methods that map human behavior as the foundation for building a digital twin. She also conducts multidisciplinary research to take advantage of digital twin technologies to automatically assess, extend and improve a person’s functional independence.
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