- Kwan-Liu Ma, The University of California, Davis
Advanced computing and imaging/sensing technologies enable scientists to study complex phenomena at unprecedented precision, 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, a daunting challenge we must address in order to make sense and maximize utilization of all the available information. Visualization transforms large quantities of data (often multiple-dimensional data) into graphical representations that exploit the high-bandwidth channel of the human visual system, leveraging the brain's remarkable ability to detect patterns and draw inferences. It has thus become an indispensable tool in many areas of study involving large, complex data. I will present several visualization designs that my group has produced as either exploratory or explanatory tools for large data found in real-world applications, including those relevant to DOE’s missions.
Kwan-Liu Ma is a professor of computer science and the chair of the Graduate Group in Computer Science 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 has played major roles in several DOE SciDAC projects, including leading a SciDAC Institute project on visualization. He maintains active collaborations with DOE scientists.