[UCI-Calit2] CS seminar Big Data Visualization: Fri. Nov. 16, 2012

[Anna Lynn Spitzer]

Title: 			Big Data Visualization

Speaker: 		Kwan Liu Ma, professor of computer science, UC
Davis

Date: 			Friday Nov. 16,  11 a.m.-noon

Location : 		Donald Bren Hall, Room 6011, UC Irvine

Abstract:
We are entering a data-rich era.  Advanced computing, imaging and
sensing technologies enable scientists to study natural and physical
phenomena at unprecedented precision, resulting in an explosive growth
of data. The size of the collected information about the Web and mobile
device users is expected to be even greater.  To make sense and maximize
utilization of such vast amounts of data for knowledge discovery and
decision-making, we need a new set of tools beyond conventional data
mining and statistical analysis.
Visualization has been shown very effective in understanding large,
complex data, and thus has become an indispensable tool for many areas
of research and practice.
Ma will present several new concepts that his research group at UC Davis
has introduced to further advance the visualization technology as a
powerful discovery and communication tool.

Bio:
Kwan-Liu Ma is a professor of computer science and the chair of the
Graduate Group in Computer Science (GGCS) at the University of
California, Davis. He leads the VIDi research group and directs the UC
Davis Center for Visualization. Ma received his Ph.D. degree in computer
science from the University  of Utah in 1993. Before joining UC Davis in
1999, he was a research scientist at the ICASE/NASA Langley Research
Center.   He was a recipient of the PECASE award in 2000 and elected as
IEEE Fellow in 2012.
Ma's research interests include visualization, high-performance
computing, and user interface design.  He was a paper chair of the IEEE
Visualization Conference in 2008 and 2009, and an associate editor of
IEEE TVCG 2007-2011. Ma presently serves on the editorial boards of the
IEEE CG&A, the Journal of Computational Science and Discoveries, and the
Journal of Visualization.


More information: http://www.cs.uci.edu/research/seminarseries/

The CS Seminar Series is co-sponsored by iGravi Group