Daniel Keefe: Interactive Visual Computing for Science, Engineering, and Art – Jan. 9, 3 pm

When: Thursday, January 9, 2014 3:00–4:30 p.m.

Where: Crerar Library, Kathleen A. Zar Room, 5730 South Ellis Avenue, Chicago, IL

Contact: Research Computing Center, 773-795-2667

Dan Keefe is a McKnight Land-Grant Assistant Professor in the Department of Computer Science and Engineering at the University of Minnesota. His research centers on scientific data visualization (visualization of time-varying data, visualization at scale, perceptually optimized visualization) and interactive computer graphics (3D interfaces, haptics, pen and multi-touch input). In 2011 Keefe received the NSF CAREER Award. He has received best paper and best panel awards at international conferences for his research and teaching. In addition to his work in computer science, Keefe is also an accomplished artist and has published and exhibited work in top international venues for digital art. Before joining the University of Minnesota, Keefe did post-doctoral work at Brown University jointly with the departments of Computer Science and Ecology and Evolutionary Biology and with the Rhode Island School of Design. He received the Ph.D. in 2007 from Brown University’s Department of Computer Science, which nominated his work for the ACM Dissertation Prize, and the B.S. in Computer Engineering summa cum laude from Tufts University in 1999.

Seeing, touching, sketching, exploring — imagine if all these visual, physical human activities could take place in a virtual space, where powerful computational techniques could be combined with natural human interactions and visual communication. In this talk, I will describe recent research in the University of Minnesota Interactive Visualization Lab, where our work has focused on coupling advances in scientific visualization with novel human-computer interfaces. Our recent work includes research in: (1) Visualizing motion for science — understanding how best to analyze and visualize large databases of scientific motions as studied in biomechanics and other disciplines. (2) 3D user interfaces for visualization and design — developing new 3D user interfaces (e.g., using touch, 3D hand gestures, and other spatial inputs) in order to make working in 3D virtual spaces as natural as working in the physical world. (3) Combining art and science — learning how to work together with artists and graphic designers to teach design and visual thinking to a next generation of computer scientists and bring insights and processes from traditional forms of visualization into scientific research.

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