On Mining Big Data: A Fusion Perspective | Prof. Philip Yu, University of Illinois at Chicago
Bio: Philip S. Yu’s main research interests include big data, data mining (especially on graph/network mining), social network, privacy preserving data publishing, data stream, database systems, and Internet applications and technologies. He is a Disthinguished Professor in the Department of Computer Science at UIC and also holds the Wexler Chair in Information and Technology. Before joining UIC, he was with IBM Thomas J. Watson Research Center, where he was manager of the Software Tools and Techniques department. Dr. Yu has published more than 970 papers in refereed journals and conferences with more than 74,500 citations and an H-index of 127. 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 recepient of ACM SIGKDD 2016 Innovation Award for his influential research and scientific contributions on mining, fusion and anonymization of big data, the IEEE Computer Society’s 2013 Technical Achievement Award for “pioneering and fundamentally innovative contributions to scalable indexing, querying, searching, mining and anonymization of big data“, and the Research Contributions Award from IEEE Intl. Conference on Data Mining (ICDM) in 2003 for his pioneering contributions to the field of data mining. He also received an IEEE Region 1 Award for “promoting and perpetuating numerous new electrical engineering concepts" in 1999. He had received several UIC honors, including Research of the Year at 2013 and UI Faculty Scholar at 2014. He also received many 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 is the Editor-in-Chief of ACM Transactions on Knowledge Discovery from Data. He is on the steering committee of ACM Conference on Information and Knowledge Management and was a steering committee member of the IEEE Conference on Data Mining and the IEEE Conference on Data Engineering. He was the Editor-in-Chief of IEEE Transactions on Knowledge and Data Engineering (2001-2004). He had also served as an associate editor of ACM Transactions on the Internet Technology (2000-2010) and Knowledge and Information Systems (1998-2004). In addition to serving as program committee member on various conferences, he was the program chair or co-chairs of the 2009 IEEE Intl. Conf. on Service-Oriented Computing and Applications, the IEEE Workshop of Scalable Stream Processing Systems (SSPS’07), the IEEE Workshop on Mining Evolving and Streaming Data (2006), the 2006 joint conferences of the 8th IEEE Conference on E-Commerce Technology (CEC’ 06) and the 3rd IEEE Conference on Enterprise Computing, E-Commerce and E-Services (EEE’ 06), the 11th IEEE Intl. Conference on Data Engineering, the 6th Pacific Area Conference on Knowledge Discovery and Data Mining, the 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery,the 2nd IEEE Intl. Workshop on Research Issues on Data Engineering: Transaction and Query Processing, the PAKDD Workshop on Knowledge Discovery from Advanced Databases, and the 2nd IEEE Intl. Workshop on Advanced Issues of E-Commerce and Web-based Information Systems. He served as the general chair or co-chairs of the 2016 IEEE Intl. Conference on BIGDATA, the 2014 IEEE Intl. Conference on Data Science and Advanced Analytics, the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, the 2012 Pacific-Asia Conference on Knowledge Discovery and Data Mining, the 2009 IEEE Intl. Conf. on Data Mining, the 2009 IEEE Intl. Conf. on Data Engineering, the 2006 ACM Conference on Information and Knowledge Management, the 1998 IEEE Intl. Conference on Data Engineering, and the 2nd IEEE Intl. Conference on Data Mining.
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 M.B.A. degree from New York University.