Predictive Interactive Visual Analytics

David S. Ebert

While less than ten year old, visual analytics has become crucial to enabling insight and decision making in a wide range of fields. In this talk, I’ll characterize the essentials of integrated, predictive, interactive advanced analytical and visualization environments and show the potential of visual analytics to dramatically transform scientific discovery, engineering development, public health, emergency response, and safety. I'll also describe our recent visual analytics work in applications ranging from cancer biomarker discovery to public health and emergency response and show the impact and potential of the field. Finally, I'll conclude by discussing the challenges and opportunities for visual analytics.

David Ebert is the Silicon Valley Professor of Electrical and Computer Engineering at Purdue University, a University Faculty Scholar, a Fellow of the IEEE, and Director of the Purdue University Visualization and Analytics Center (PURVAC), which leads the Visualization Science team of the Department of Homeland Security's Command Control and Interoperability Center of Excellence (VACCINE). Dr. Ebert performs research in novel visualization techniques, visual analytics, volume rendering, information visualization, perceptually-based visualization, illustrative visualization, mobile graphics and visualization, and procedural abstraction of complex, massive data. Ebert has been very active in the visualization community, teaching courses, presenting papers, co-chairing many conference program committees, serving on the ACM SIGGRAPH Executive Committee, serving as Editor in Chief of IEEE Transactions on Visualization and Computer Graphics, serving as a member of the IEEE Computer Society's Publications Board, serving on the IEEE Computer Society Board of Governors, and successfully managing a large program of external funding to develop more effective methods for visually communicating information.