Sukho Lee, Seoul National Univ., Korea
Jiawei Han, University of Illinois, Urbana-Champaign, USA
Kuan-Tsae Huang, Taskco Corporation, Taiwan
Jongwoo Jeon, Seoul National University/SRCCS, Korea
Jaideep Srivastava, University of Minnesota, USA
Rajeev Rastogi, Lucent Bell Labs, USA
Bongki Moon, Univ. of Arizona, USA
Ramakrishnan Srikant, IBM Almaden, USA
Won Chul Jhee, Hongik University, Korea
Byung S. Lee, Univ. of Vermont, USA
Sungzoon Cho, Seoul National University, Korea
Jinho Kim, Kangwon National University/AITrc
Hiroshi Motoda , Osaka University, Japan (Co-chair)
Arbee L. P. Chen , National Tsing Hua Univercity, Taiwan
Ming-Syan Chen , National Taiwan Univercity, Taiwan
David W. Cheung , The Univerity Hong Kong, Hong Kong
Masaru Kitsuregawa , The University of Tokyo, Japan
Rao Kotagiri , University of Melbourne, Australia
Huan Liu, Arizona State University, USA
Takao Terano, University of Tsukuba, Japan
Graham Williams , CSIRO, Australia
Ning Zhong, Maebashi Institute of Technology, Japan
Lizhu Zhou, Tsinghua University, China
![[Photograph]](images/shim.jpg)
Kyuseok Shim is an Assistant Professor and a leader of the Knowledge Discovery and Database Research Laboratory at School of Electrical Engineering and Computer Science of Seoul National University, Korea. Previously, he was an Assistant Professor at Computer Science Department of KAIST, Korea. Before joining KAIST, he was a member of technical staff (MTS) and one of key contributors to the Serendip Data Mining project at Bell Laboratories. He also worked for Rakesh Agrawal's Quest Data Mining project at IBM Almaden Research Center. He received a Ph.D in Computer Science from University of Maryland at College Park in 1993. He received B.S. degree in Electrical Engineering from Seoul National University in 1986, and MS degree in Computer Science from University of Maryland at College Park in 1988. Kyuseok Shim has been working in the area of databases focusing on data mining, data warehousing, query processing and query optimization, XML and semi-structured data. He is currently on Editorial Board of the VLDB and KAIS Journals. He has published several research papers in prestigious conferences and journals. He has also served as a program committee member on many international conferences including ICDE, ICDM, PAKDD, SIGMOD, SIGKDD and VLDB conferences. He did a data mining tutorial with Rajeev Rastogi at ACM SIGKDD'99 and a tutorial with Surajit Chaudhuri on storage and retrieval of XML data using relational DB at VLDB'01.
![[Photograph]](images/jaideep.jpg)
Jaideep Srivastava is a tenured professor on the faculty of the University of Minnesota. Between 1999 and 2001 he took a two-year leave, during which he worked at Amazon.com (www.amazon.com) as the Chief Data Mining Architect, at Yodlee Inc. (www.yodlee.com) as Director - Data Analytics, and at Chingari Inc. (www.chingari.com) as the Chief Technology Officer. This wide-ranging industry experience has provided him with a unique perspective on the application of various computer science technologies in the Internet economy. As a researcher, educator, consultant, and invited speaker in the areas of data mining, databases, artificial intelligence, and multimedia for over 15 years, Jaideep continues his active collaboration with the technology industry, both for research and technology transfer. An often-invited participant in technical and technology strategy forums, Jaideep has presented at a multitude of various industry, academic and government meetings. He served on the program committee of numerous conferences, and is on the editorial board of various journals. The federal government has solicited his opinion on computer science research as an expert witness. He also served in an advisory role to the governments of India and Chile on various software technologies. Jaideep is a member of the ACM, and a senior member of the IEEE. Jaideep received his B.S. from the Indian Institute of Technology, and M.S. and Ph.D. degrees from the University of California - Berkeley.