2016 MCASTA Annual Symposium - Keynote & Award

Philip S. Yu is a Distinguished Professor in Computer Science at the University of Illinois at Chicago and also holds the Wexler Chair in Information Technology.   Before joining UIC, Dr. Yu was with IBM, where he was manager of the Software Tools and Techniques group at the Watson Research Center. His research interest is on big data, including data mining, data stream, database and privacy. He has published more than 960 papers in refereed journals and conferences. He holds or has applied for more than 300 US patents.

Dr. Yu is a Fellow of the ACM and the IEEE.  He is the Editor-in-Chief of ACM Transactions on Knowledge Discovery from Data.  He is on the steering committee of the IEEE Conference on Data Mining and ACM Conference on Information and Knowledge Management and was a member of the IEEE Data Engineering steering committee.  He was the Editor-in-Chief of IEEE Transactions on Knowledge and Data Engineering (2001-2004).  He received the IEEE Computer Society 2013 Technical Achievement Award for “pioneering and fundamentally innovative contributions to the scalable indexing, querying, searching, mining and anonymization of big data”, the ICDM 2013 10-year Highest-Impact Paper Award, the EDBT Test of Time Award (2014), and the Research Contributions Award from IEEE Intl. Conference on Data Mining (2003). He had received several IBM honors including 2 IBM Outstanding Innovation Awards, an Outstanding Technical Achievement Award, 2 Research Division Awards and the 94th plateau of Invention Achievement Awards.  He was an IBM Master Inventor. Dr. Yu received the B.S. Degree in E.E. from National Taiwan University, the M.S. and Ph.D. degrees in E.E. from Stanford University, and the M.B.A. degree from New York University.