Biography

David Ebert is an Associate Vice President for Research and Partnerships, the Gallogly 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 (VACCINE), the Visualization Science team of the Department of Homeland Security's Visual Analytics and Data Analytics 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). Dr. Ebert 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.

Ebert has been very active in the visualization, visual analytics, and computer science communities, through teaching courses, co-chairing conference program committees, and successfully managing a large program of external funding to develop more effective methods for creating efficient visual decision-making and information communication environments. He has held leadership positions within the IEEE Computer Society, including Vice President and Treasurer, served on IEEE, ACM, and CRA boards, and engaged in initiatives to modernize professional activities by combining conference and journal publications, exploring the impact of data science on computer science, and integrating research, education, and engagement to create deployed solutions with real-world impact.

The opinions on this page are mine and are not necessarily those of the IEEE Computer Society or the IEEE.