Title of the report：Information Visualization for Studying Behaviors, Connections, and Evolution
Time：13-9-2012 10:00am
Place：Room 402, State Key Laboratory of CAD & CG, Library and Information Center Building B, Zhejiang University Zijin’gang Campus
Reporter：Dr. Kwan-Liu Ma，University of California，Davis
Abstrac：The widespread use of Internet has led to information explosion, a daunting challenge we must address in order to make sense and maximize utilization of the available information. Visualization proves effective in uncovering the hidden structures and patterns in massive, dynamically changing information spaces. I will present techniques that my group at UC Davis has developed for visualizing security, commerce, social network, and software data in order to study the behaviors of individuals or groups, the connections between them, and their evolutions.
About the speaker：Dr. Kwan-Liu Ma, an IEEE Fellow, 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 (Visualization and Interface Design Innovation) research group, and directs the UC Davis Center for Visualization. His research spans the fields of visualization, high-performance computing, and user interface design.Professor Ma received his PhD in computer science from the University of Utah in 1993.He was then with ICASE/NASA Langley Research Center as a research scientist before joining UC Davis in 1999. Professor Ma is presently leading a team of over 25 researchers working on projects in big data visualization, information visualization, visual interface design, artistically inspired illustrations, video processing, and volume visualization. Professor Ma founded the Ultra-Scale Visualization Workshop, IEEE Pacific Visualization Symposium, and IEEE Symposium on Large Data Analysis and Visualization.He was an associate editor for the IEEE Transactions on Visualization and Computer Graphics (TVCG) during 2007-2011. He presently serves on the editorial boards of the IEEE Computer Graphics and Applications (CG&A), the Journal of Computational Science and Discovery, and the Journal of Visualization.