About
David S. Ebert is a Gallogly Chair Professor of Computer Science and Electrical and Computer Engineering at the University of Oklahoma, serving as Director of the Data Institute for Societal Challenges and Associate Vice President for Research and Partnerships. He holds adjunct professorships at Purdue University and leads the Department of Homeland Security's Visual Analytics Center (VACCINE). Ebert's research focuses on visual analytics, human-AI collaboration, and trustable AI systems with applications in climate resilience, public health, and security.
He earned a Ph.D., M.S., and B.S. in Computer Science from The Ohio State University. His work has led to patents in public safety systems and predictive analytics, alongside impactful tools like SMART 2.0 for social media misinformation tracking and MetricsVis for law enforcement performance evaluation.
Ebert has received prestigious awards including the IEEE Visualization Technical Achievement Award and multiple Department of Homeland Security recognitions. His contributions span interdisciplinary projects addressing societal challenges such as pandemic preparedness, methane emission monitoring, and sustainable agriculture through data-driven decision systems.
Key leadership roles include directing the DHS Visual Analytics Center, the Purdue Visual Analytics Center, and the Center for Education and Research in Information Assurance and Security. His research emphasizes bridging technical innovations with real-world applications in emergency response, healthcare, and environmental sustainability.
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