Abstract

CANCELLED

May 15, 2006

Title: Large Data Visualization
Presented by: Kwan-Liu Ma, Computer Science, University of California, Davis

Abstract

Advanced computing and imaging technologies enable scientists to study natural phenomena at unprecedented precision, resulting in an explosive growth of data. How do we make sense of these large amounts of data that are produced regularly? Visualization transforms large quantities of, possibly multiple-dimensional, raw 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 become an indispensable tool in many areas of study. In this talk, I will present several effective solutions to the large data visualization problem. These solutions are based on either parallel computing or an intelligent system approach.

Biography

Professor Ma's research spans the fields of visualization, computer graphics, and high-performance computing. His goal is to advance the state of the art in data visualization technology to enable scientific discovery. Professor Ma 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. In 1999, he joined UC Davis. In the following year, Professor Ma received the Presidential Early Career Award for Scientists and Engineers (PECASE) for his work in parallel visualization. In 2001, he received the Schlumberger Foundation Technical Award for his work in large data visualization. Professor Ma is a member of IDAV (Institute for Data Analysis and Visualization). Currently, he is leading research projects in parallel rendering, volume modeling and visualization, artistically inspired illustrations, visualization interfaces, and information visualization. He is the editor of the VisFiles Column of the ACM SIGGRAPH's Computer Graphics Quarterly.