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Kwan Liu MaKwan Lui Ma
Large Data Visualization

Wednesday, April 21, 2010
Building 3 Auditorium - 11:00 AM
(Coffee and cookies at 10:30 AM)
Advanced computing and imaging technologies enable scientists to study natural phenomena at unprecedented precision, resulting in an explosive growth of data. The size of the collected information about the Internet and mobile device users is expected to be even greater, a daunting challenge we must address in order to make sense and maximize utilization of all the available information. Visualization transforms large quantities of, possibly multiple-dimensional, data into graphical representations that exploit the high-bandwidth channel of the human visual system, leveraging the brain's remarkable ability to detect patterns and draw inferences. It has thus become an indispensable tool in many areas of study involving large data. I will introduce several effective solutions to the large data visualization problems found in a variety of areas from physical science, security, to software development.

Kwan-Liu Ma is a professor of computer science and the chair of the computer graduate group at the University of California, Davis. He also directs the DOE SciDAC Institute for Ultra-Scale Visualization. Kwan-Liu received his PhD in computer science from the University of Utah in 1993. During 1993-1999, he was with ICASE/NASA LaRC as a research scientist. At UC Davis, he is now leading a team of 25 researchers working on projects in large data visualization, information visualization, visual analytics, and interface design. Kwan-Liu served as a paper chair of the IEEE Visualization Conference in 2008 and 2009. He was the founder of the IEEE Pacific Visualization Conference. He presently serves on the editorial boards of the IEEE Computer Graphics and Applications, the IEEE Transactions on Visualization and Graphics, and the Journal of computational Science and Discovery.

IS&T Colloquium Committee Host: Helen-Nicole Kostis

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