Professor Edward Chang received his M.S. in Computer Science and PhD in 
Electrical Engineering at Stanford University in 1994 and 1999, respectively. 
He joined the department of Electrical & Computer Engineering at 
University of California, Santa Barbara, in September 1999. He received his 
tenure in March 2003, and was promoted to full professor of Electrical Engineering
in 2006. His recent research activities are in the areas of machine learning, 
data mining, high-dimensional data indexing, and their applications to image 
databases, video surveillance, and Web mining. Recent research contributions 
of his group include methods for learning image/video query concepts via 
active learning with kernel methods, formulating distance functions via 
dynamic associations and kernel alignment, managing and fusing distributed 
video-sensor data, categorizing and indexing high-dimensional image/video 
information, and speeding up Support Vector Machines via parallel matrix 
factorization and indexing. Professor Chang has served on several ACM, IEEE, 
and SIAM conference program committees. He co-founded the annual ACM Video 
Sensor Network Workshop and has co-chaired it since 2003. In 2006, he co-chairs 
three international conferences: Multimedia Modeling (Beijing), SPIE/IS&T 
Multimedia Information Retrieval (San Jose), and ACM Multimedia (Santa Barbara). 
He serves as an Associate Editor for IEEE Transactions on Knowledge and Data 
Engineering and ACM Multimedia Systems Journal. Professor Chang is a recipient 
of the IBM Faculty Partnership Award and the NSF Career Award. 
He is currently on leave from UC, heading R&D effort at Google/China.