讲座题目：Topics in Data Visualization
主 讲 人：Kwan-Liu Ma 美国加州大学戴维斯分校可视化中心主任
讲座时间：2015年09月02日（周三）下午15:30
讲座地点：阜成路东校区耕耘楼809会议室
参加对象：计算机与信息工程学院教师及研究生
承办单位：计算机与信息工程学院
主讲人简介：
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, where he directs VIDI Labs and UC Davis Center of Excellence for Visualization. His research spans the fields of visualization, computer graphics, high-performance computing, and user interface design. Professor Ma received his PhD in computer science from the University of Utah in 1993. During 1993-1999, he was with ICASE/NASA Langley Research Center as a research scientist. He joined UC Davis in 1999.
Professor Ma is presently leading a team of over 25 researchers pursuing research in scientific visualization, information visualization, visual analytics, visualization for storytelling, visualization interface design, and volume visualization. He received the NSF Presidential Early-Career Research Award (PECASE) in 2000, was elected an IEEE Fellow in 2012, and received the 2013 IEEE VGTC Visualization Technical Achievement Award for his outstanding research work. Professor Ma has been actively serving the research community by playing leading roles in several professional activities including IEEE VIS, EuroVis, IEEE PacificVis, and IEEE LDAV. He presently serves as the papers chair of InfoVis 2015 and EuroVis 2015.
报告内容简介：
Advanced computing, imaging, and sensing technologies enable scientists to study natural and physical phenomena at unprecedented spatial and temporal precisions, 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. 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 become an indispensable tool for many areas of research and practice. I will present several visualization designs and solutions that my research group at UC Davis has introduced to further advance the visualization technology as a powerful discovery and communication tool for areas such as biomedical studies, large-scale scientific simulations, security, sociological studies, etc.