Jiawei Han
| Jiawei Han | |
|---|---|
| Born |
August 10, 1949 Shanghai, China |
| Fields | Data Mining |
| Institutions | University of Illinois at Urbana-Champaign |
| Doctoral advisor | Professor Larry Travis |
Jiawei Han (Chinese: 韩家炜), is a Chinese computer scientist, and Abel Bliss Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign,[1] who has been working on research into data mining, data warehousing, database systems, data mining from spatiotemporal data, Web data, and social/information network data.
Biography
Born in Shanghai, China on 10 August 1949.[2] Han received his BS from University of Science and Technology of China in 1979 and his PhD from the University of Wisconsin in Computer Science in 1985.[3]
He was a professor in the School of Computing Science at Simon Fraser University.[4] Currently he is a professor, at the Department of Computer Science in the University of Illinois at Urbana-Champaign. He is also the Director of Information Network Academic Research Center (INARC) supported by Network Science Collaborative Technology Alliance (NSCTA) program of U.S. Army Research Lab (ARL).
Han has chaired or served on over 100 program committees of international conferences and workshops, including PC co-chair of 2005 (IEEE), International Conference on Data Mining (ICDM), Americas Coordinator of 2006 International Conference on Very Large Data Bases (VLDB). He also served as the founding Editor-In-Chief of ACM Transactions on Knowledge Discovery from Data.
He is an ACM fellow and an IEEE Fellow. He received the 2004 ACM SIGKDD Innovations Award,[5] and the 2005 IEEE Computer Society Technical Achievement Award. The book: Han, Kamber and Pei, "Data Mining: Concepts and Techniques" (3rd ed., Morgan Kaufmann, 2011) has been popularly used as a textbook worldwide. He was the 2009 winner of the McDowell Award, the highest technical award made by IEEE.
He teaches courses CS412 - Data Mining and CS512 - Advanced Data Mining at University of Illinois, Urbana Champaign. His course CS412 - Data Mining is highly popular among students and is over-subscribed in each offering.
Publications
Han has published several books and over 500 journal and conference publications. A selection:
- Data Mining: Concepts and Techniques, 3rd edition (with Micheline Kamber), The Morgan Kaufmann Series in Data Management Systems, Jim Gray, Series Editor Morgan Kaufmann Publishers, 2011. ISBN 1-55860-901-6