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TAN Kian Lee

Dean & Tan Sri Runme Shaw Senior Professor, School of Computing

National University of Singapore

Profile

Kian-Lee is the Dean & Tan Sri Runme Shaw Senior Professor at the School of Computing, National University of Singapore (NUS). He is also the executive director of the Singapore Data Science Consortium hosted at NUS, and is a Senior Faculty Member at the NUS Graduate School for Integrative Science and Engineering and a Faculty Fellow at the Institute of Data Science. Kian-Lee was head of the Department of Computer Science (NUS) from 2014-2020.

Kian-Lee received his Ph.D. in computer science in 1994 from NUS. His current research interests include query processing and optimization in multiprocessor and distributed systems, database performance, data analytics, and database security. Kian-Lee has published over 300 research articles in international journals and conference proceedings, and co-authored several books/monographs.

Kian-Lee was a recipient of the NUS Outstanding University Researchers Award in 1998, and the NUS Graduate School (NGS) Excellent Mentor Award in 2011. He was a co-recipient of Singapore's President Science Award in 2011. He was also a 2013 IEEE Technical Achievement Award recipient.

Kian-Lee is an associate editor of the ACM Transactions on Database Systems (TODS) and the WWW Journal. He has also served as the editor-in-chief the Very Large Data Base (VLDB) Journal (2009-2015) and as an associate editor of the IEEE Transactions on Knowledge and Data Engineering (2009-2013). He was a member of the VLDB Endowment Board (2013-2017) and PVLDB Advisory Committee (2014-2017). Kian-Lee was the Technical Program Committee co-chair for the 27th International Conference on Data Engineering (ICDE 2011), the 36th International Conference on Very Large Data Bases (VLDB 2010), the 11th International Conference on Database Systems for Advanced Applications (DASFAA 2006) and 3rd International Conference on Mobile Data Management (MDM 2002). Kian-Lee is a member of ACM and IEEE (and IEEE CS).
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