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Emerging Topics in Visual Analytics

Kwan-Liu Ma, University of California, Davis

Abstract

In the era of Big Data, visual analytics becomes an important tool for scientific research, engineering design, and critical decision making. The design of a visual analytics solution must take into account the data characteristics, the media used, and the tasks to support, each of which presents some unique challenges. These challenges may suggest new topics for visual analytics research. I will discuss emerging topics in this area using research results that my group has produced as examples.

Bio

Kwan-Liu Ma is a professor of computer science at the University of California, Davis. He leads VIDI Labs and directs the UC Davis Center for Visualization. Professor Ma received his PhD degree in computer science from the University of Utah in 1993. His research interests include visualization, computer graphics, high-performance computing, and user interface design. Professor Ma received the NSF Presidential Early-Career Research Award (PECASE) award in 2000, was elected IEEE Fellow in 2012, and was presented the IEEE VGTC 2013 Visualization Technical Achievement Award in 2013. Professor Ma has been actively serving the research community. He has chaired the technical programs of InfoVis, EuroVis, and PacificVis, and he presently served as the AEIC for IEEE Computer Graphics and Applications and chair of the PacificVis steering committee.