Time（时间）：2021年10月30日 上午08：30
ZOOM ID（会议号）：838 407 66471
Passcode（密码）：542513
Meeting Link（入会链接）：https://us02web.zoom.us/j/83840766471
Title：Visual Analytics and Trusted Information for Effective Human-Computer Collaborative Decision
报告人：David S. Ebert
David S. Ebert is an Associate Vice President for Research and Partnerships, the Gallogly Chair Professor of electrical and computer engineering, and Director of the Data Institute for Societal Challenges at the University of Oklahoma in Norman, OK, USA. He is the recipient of the 2017 IEEE Computer Society vgTC Technical Achievement Award, member of the IEEE vgTC Visualization Academy, an adjunct Professor of electrical and computer engineering with Purdue University, and the Director of the Visual Analytics for Command Control and Interoperability Center (VACCINE), the Visualization Science team of the Department of Homeland Security’s VisualAnalytics and Data Analytics Emeritus Center of Excellence. He received his Ph.D. in computer and information science from The Ohio State University, Columbus, OH, USA, and performs research in visual analytics, novel visualization techniques, interactive machine learning and explainable AI, human–computer teaming, advanced predictive analytics, and procedural abstraction of complex, massive data. He is also the IEEE Computer Society Vice President for Publications and a Board of Governors Member, as well as an IEEE Ethics and Membership Conduct Committee Member.