Feb. 28, 2013 – Massive datasets have made inroads into practically every field of science and engineering. Significant challenges have been recognized and focused for a variety of data intensive applications, such as scientific simulation, medical informatics, intelligence analysis, and social networks. In order to process and analyze such datasets efficiently, visualization techniques have proven to be very effective for providing high level structure and overview of the data. In this talk, I will describe the technical challenges and solutions for visualizing and analyzing massive datasets, including images, videos, volumetric data, geometry data, and graphs. The focus will be on the research of parallel algorithm design on many-core architectures, especially GPGPUs.
Yong Cao is an Assistant Professor of Computer Science at Virginia Tech. He received his B.S. degree from University of Science and Technology of China in 1997, M.S. degree from Chinese Academy of Sciences in 2000, and Ph.D. degree in Computer Science from University of California, Los Angeles in 2005. He has worked at a leading video game company, Electronic Arts, before joined Virginia Tech in 2007.
Dr. Cao is the Director of the Graphics and Visualization Lab at Virginia Tech, which focuses on the research of high performance visualization and simulation, parallel computing on many-core architecture, character animation, and video game based learning. He serves his research community by participating in several conference communities, including EuroGraphics, Siggraph Asia, Motion In Games, and IEEE Conference on Automatic Face and Gesture Recognition. He also serves in the editorial board of ACM Computer in Entertainment.
Dr. Cao is also a member of the Institute of Creativity, Art and Technology (ICAT) at Virginia Tech, whose goal is to facilitate art, creative activity, and education in cutting edge technologies and their use in contemporary arts and design.