Jiawei Han is a professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign and an affiliate faculty member in the Beckman Institute Image Formation and Processing group. His recent research interests include data mining, data warehousing, stream data mining, spatiotemporal and multimedia data mining, biological data mining, social network analysis, text and Web mining, and software bug mining, with over 300 conference and journal publications. He has chaired or served in many program committees of international conferences and workshops, including ACM SIGKDD Conferences (2001 best paper award chair, 1996 PC co-chair), SIAM-Data Mining Conferences (2001 and 2002 PC co-chair), ACM SIGMOD Conferences (2000 exhibit program chair), International Conferences on Data Engineering (2004 and 2002 PC vice-chair), and International Conferences on Data Mining (2005 PC co-chair). He also served or is serving on the editorial boards for Data Mining and Knowledge Discovery, IEEE Transactions on Knowledge and Data Engineering, Journal of Computer Science and Technology, and Journal of Intelligent Information Systems. He is currently serving as founding Editor-in-Chief of ACM Transactions on Knowledge Discovery from Data (TKDD), and on the Board of Directors for the Executive Committee of ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD). His book "Data Mining: Concepts and Techniques" (Morgan Kaufmann) has been used popularly as a textbook.
Honors: IEEE Computer Society Technical Achievement Award (2005); Three IBM Faculty Awards (2002-2005); ACM Fellow (2004); ACM SIGKDD Innovation Award (2004); The Outstanding Contribution Award at the 2002 International Conference on Data Mining; ACM Service Award (1999).