EIC Editorial
June 2009 (VOL. 21, No. 6) pp. 753-755
/09/$31.00 © 2009 IEEE

Published by the IEEE Computer Society
EIC Editorial
Beng Chin Ooi
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I would like to welcome nine new Associate Editors to the IEEE Transactions on Knowledge and Data Engineering (TKDE) Editorial Board: Nicolas Bruno from Microsoft Research, Professor Torsten Grust from the Universität Tübingen, Germany, Professor Jayant R. Haritsa from the Indian Institute of Science, Bangalore, Professor Maurizio Lenzerini from the Sapienza Università di Roma, Italy, Professor Renee J. Miller from the University of Toronto, Canada, Professor Srinivasan Parthasarathy from Ohio State University, Professor Kian-Lee Tan from the National University of Singapore, Associate Professor Jun Yang from Duke University, North Carolina, and Professor Xiaofang Zhou from the University of Queensland, Australia. Their biographies and photos are given below.
These new Associate Editors are all established researchers in their respective areas, and were carefully selected based on their research expertise and past publication experience with TKDE.
The following Associate Editors have retired from the Editorial Board: Christos Faloutsos, Dieter Fensel, Ramamohanarao Kotagiri, Jiming Liu, Qiang Yang, Chengqi Zhang, and X. Sean Wang. I would like to take this opportunity to thank all of these retiring Associate Editors for their excellent service to TKDE and for helping us with all the manuscripts they have handled. TKDE is truly appreciative of their efforts.
Beng Chin Ooi
Editor-in-Chief





Nicolas Bruno received the PhD degree in computer science from Columbia University, New York, in 2003. Since 2002, he has been a researcher in the Data Management, Exploration, and Mining Group (DMX) at Microsoft Research. His current research interests are physical design tuning and query optimization. Previously, he worked on other topics such as database testing, top-k query processing, and XML query processing.





Torsten Grust received the MSc degree in computer science in 1994 and the PhD degree in 1999 from Universität Konstanz, Germany. He is a professor of computer science at Universität Tübingen, Germany, where he has led the Database Systems Research Group since 2008. Prior to his move to Tübingen, he was a professor of database systems at Technische Universität München and the Clausthal University of Technology. In 2000, he was a visiting scientist with the IBM Silicon Valley Laboratories, San Jose, California. He performs research into the compilation, optimization, and evaluation of a variety of database languages. In this work, he often walks the fine line between database query and programming language technology. His group develops techniques that turn relational database systems into scalable processors also for nonrelational query and programming languages. One outcome of this work is Pathfinder, a purely relational processor for XML, XPath, and XQuery that is found among the most efficient XQuery implementations available today. He has repeatedly served on the program committees of premier international database conferences, including ICDE, SIGMOD, VLDB, and EDBT. He is a member of the EDBT Association and ACM. Cochair appointments for editions of the XIME-P and PLAN-X workshop series—colocated with the ACM SIGMOD and POPL conferences, respectively—are indicative of his interest in how database and programming language research can mutually benefit from each other.





Jayant R. Haritsa received the undergraduate degree in electrical engineering from Indian Institute of Technology Madras in 1985, and the MS and PhD degrees in computer science from the University of Wisconsin-Madison in 1987 and 1991, respectively. He has been a professor of computer science at the Indian Institute of Science, Bangalore, since 1992. His research interests are in database system design, analysis, and testing. He is a fellow of the National Academy of Sciences, India, and is on the editorial boards of the International Journal of Distributed and Parallel Databases and the International Journal of Real-Time Systems.





Maurizio Lenzerini (http://www.dis.uniroma1.it/~lenzerini) has been a full professor in computer science and engineering at the Sapienza Universitá di Roma, Italy, since 1990. His main research interests are in data modeling, data integration and exchange, knowledge representation and reasoning, and service computing. He is the author of more than 250 publications in international conferences and journals, and has been an invited speaker at many conferences. He is the editor of several international books, and is regularly a member of the program committee of the most important international conferences in the above areas. He is currently on the steering committee of PODS and ICDT. He organized several international conferences and workshops, and was the program chair of various international conferences, including the Ninth International Conference on Database Theory (2003) and the 27th ACM Symposium of Principle of Database Systems (2008).
Renee J. Miller received the bachelor’s degrees in mathematics and cognitive science from the Massachusetts Institute of Technology and the PhD degree in computer science from the University of Wisconsin-Madison. She is a professor of computer science and the Bell Canada Chair of Information Systems at the University of Toronto, Canada. She received the US Presidential Early Career Award for Scientists and Engineers (PECASE), the highest honor bestowed by the United States government on outstanding scientists and engineers beginning their careers. She received a US National Science Foundation CAREER Award, the Premier’s Research Excellence Award, and an IBM Faculty Award. Her research interests are in the efficient, effective use of large volumes of complex, heterogeneous data. This interest spans data integration and exchange, inconsistent and uncertain data management, and data curation and cleaning. She serves on the Board of Trustees of the VLDB Endowment and served as program committee cochair of VLDB in 2004.





Srinivasan Parthasarathy received the PhD degree from the University of Rochester, New York. He is currently an associate professor in the Computer Science and Engineering Department at the Ohio State University (OSU). His research interests are broadly in the areas of data mining, databases, bioinformatics, and high-performance computing. He was a recipient of a US National Science Foundation CAREER award in 2003, a US DOE Early Career Award in 2004, an Ameritech Faculty fellowship in 2001, and an IBM Faculty Award in 2007. His papers have received five best paper awards from leading conferences in the field, including ones at the SIAM International Conference on Data Mining (SDM), the IEEE International Conference on Data Mining (ICDM), the Very Large Databases Conference (VLDB), and most recently at ACM Knowledge Discovery and Data Mining (SIGKDD). He is a member of the ACM and the IEEE and has served on the program committees of leading conferences in the fields of data mining, databases, and high-performance computing. He currently serves on the editorial boards of several journals including the Data Mining and Knowledge Discovery Journal ( DMKDJ), the Distributed and Parallel Databases Journal ( DAPDJ), and the IEEE Intelligent Systems ( IEEE-IS) journal. He served as one of the program chairs of SIAM Data Mining in 2007 and is currently serving as one of the general chairs for the 2009 edition.





Kian-Lee Tan is a professor of computer science at the National University of Singapore. His current research interests include multimedia information retrieval, query processing and optimization (in centralized, parallel and distributed systems), database performance, and database security. He serves regularly on the technical program committees of major database conferences. He currently serves as an editorial board member of the VLDB Journal.





Jun Yang received the BA degree from the University of California at Berkeley in 1995, and the PhD degree from Stanford University, California, in 2001. He is currently an associate professor of computer science at Duke University, North Carolina. He is broadly interested in research on data management, and is currently focusing on derived data maintenance, continuous query systems, and sensor data processing. He is a recipient of the US National Science Foundation CAREER Award and the IBM Faculty Award.





Xiaofang Zhou received the BSc and MSc degrees in computer science from Nanjing University, China, and the PhD degree in computer science from the University of Queensland (UQ), Australia. He is a professor of computer science at UQ. He is the head of the Data and Knowledge Engineering Research Division at UQ, and a chief investigator at theAustralian Research Council (ARC) Centre of Excellence in Bioinformatics. He is also the convenor and director of the ARC Research Network in Enterprise Information Infrastructure, a major national research collaboration initiative in Australia. Before joining UQ in 1999, he worked as a researcher at the Commonwealth Scientific and Industrial Research Organization (CSIRO), leading its Spatial Information Systems group. His research focus is to find effective and efficient solutions for managing, integrating, and analyzing very large amounts of complex data for business and scientific applications, in particular in the areas of spatial and multimedia databases, data quality, high-performance query processing, Web information systems, and bioinformatics.

For information on obtaining reprints of this article, please send e-mail to: tkde@computer.org.