Dr. Shuiwang Ji joined the Department of Computer Science at ODU in 2010. Prior to that, he received the Ph.D. degree from Arizona State University (ASU), working in both the Machine Learning Laboratory and the Center for Evolutionary Medicine and Informatics of the Biodesign Institute.
Dr. Ji received the Outstanding Ph.D. Student in Computer Science Award from ASU in 2010 and the Early Career Distinguished Research Award from ODU's College of Sciences in 2012. His team received the first prize from the TRECVID Video Surveillance Evaluation organized by the National Institute of Standards and Technology in 2009 and the second prize on Demographic Prediction from the Mobile Data Challenge organized by the Nokia Research Center in 2012.
He has done significant work on sparse learning with applications to brain and protein network modeling, multi-task learning, multiple kernel learning, deep learning, dimensionality reduction, and biological image analysis. Dr. Ji pioneered the work on using proximal methods for solving a class of nuclear norm regularized machine learning problems, and his publication has been widely cited. Dr. Ji co-developed an open-source sparse learning software package, SLEP, which currently has more than 4000 users from 17 different countries. He is a co-author of a forthcoming book entitled “Multi-Label Dimensionality Reduction”. Dr. Ji’s current research is supported by NSF's Advances in Biological Informatics program.
Click here to visit Shuiwang Ji's website at ODU.