Dr. Fei Sha is an Associate Professor of Computer Science & Biological Science and the Zohrab A. Kaprielian Fellow in Engineering at USC. Dr. Sha also holds a faculty appointment at the USC Michelson Center for Convergent Bioscience. He is also the Founding Director of the Center for Data, Algorithms, and Systems for Health (DASH) at USC. Dr. Sha has been a member of the faculty at USC since August 2008. Prior to joining USC, he was a postdoctoral researcher at UC Berkeley with Professor Michael I. Jordan and Professor Stuart Russell. Dr. Sha also spent a year at Yahoo! Research as a research scientist.
His research focuses on the theory and application of machine learning. In the past, he has worked on a number of research projects including speech and object recognition, manifold learning and dimensionality reduction, optimization algorithms for large margin classifiers, and others. Recently, he has been interested in applying machine learning techniques to understanding human perception and cognitive processes by modeling and analyzing brain imaging data. He has also been actively working on computer vision problems with his collaborators.
Dr. Sha holds a B.Sc. and M.Sc. in biomedical engineering from Southeast University (Nanjing, China), and a Ph.D. in Computer and Information Sciences from the University of Pennsylvania, under the supervision of Professor Lawrence K. Saul (now at UC San Diego). Dr. Sha earned the Google Research Award in 2016 and 2009. He was selected as a Sloan Research Fellow in 2013. He was also awarded an Army Research Office Young Investigator Award in 2012 and was a member of 2010 DARPA Computer Science Study Panel.
At the Ellison Institute, Dr. Sha is one of 10 affiliate members.
His research focuses on the theory and application of machine learning. In the past, he has worked on a number of research projects including speech and object recognition, manifold learning and dimensionality reduction, optimization algorithms for large margin classifiers, and others. Recently, he has been interested in applying machine learning techniques to understanding human perception and cognitive processes by modeling and analyzing brain imaging data. He has also been actively working on computer vision problems with his collaborators.
Dr. Sha holds a B.Sc. and M.Sc. in biomedical engineering from Southeast University (Nanjing, China), and a Ph.D. in Computer and Information Sciences from the University of Pennsylvania, under the supervision of Professor Lawrence K. Saul (now at UC San Diego). Dr. Sha earned the Google Research Award in 2016 and 2009. He was selected as a Sloan Research Fellow in 2013. He was also awarded an Army Research Office Young Investigator Award in 2012 and was a member of 2010 DARPA Computer Science Study Panel.
At the Ellison Institute, Dr. Sha is one of 10 affiliate members.