David S. Ebert

David 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. He is an IEEE Fellow, an adjunct Professor of Electrical and Computer Engineering at Purdue University and Director of the Visual Analytics for Command Control and Interoperability Center, a U.S. DHS Emeritus Center of Excellence. Previously, he was the Silicon Valley Professor of Electrical and Computer Engineering at Purdue University, Director of the Purdue Integrated Data Science Initiative, and Director of the Center for Education and Research in Information Assurance and Security (CERIAS). He received his Ph.D. in Computer and Information Science from The Ohio State University 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 the recipient of the 2017 IEEE Computer Society vgTC Technical Achievement Award for seminal contributions in and helping define the field of visual analytics, and was elected to the IEEE vgTC Visualization Academy in 2019. He is currently a member of the IEEE Ethics and Membership Conduct Committee and the IEEE-USA Research and Development Policy Committee.

Ebert has been a very active volunteer and leader in the computer science field. He has held leadership positions within the IEEE Computer Society, including Vice President and Treasurer, served on IEEE, ACM, and CRA boards, chaired conferences and program committees, led international initiatives, and engaged in initiatives to modernize professional activities by combining conference and journal publications, exploring the impact and intersection of data science, ML/AI on computer science education and architecture, and integrating research, education, and engagement to create deployed solutions with real-world impact.