Speaker: Prof. 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, the users, the tasks to support,
etc., each of which presents some unique requirements and challenges.
These challenges demands new technical approaches and design considerations. I will discuss them using research results that my group has produced as examples.
Short 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, 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 received numerous recognitions for his research contributions such as the NSF Presidential Early-Career Research Award (PECASE) in 2000, the UC Davis College of Engineering's Outstanding Mid-Career Research Faculty Award in 2007, and the 2013 IEEE VGTC Visualization Technical Achievement Award. He was elected an IEEE Fellow in 2012.