EIC Editorial: TKDE Editorial Board Changes
APRIL 2005 (Vol. 17, No. 4) pp. 1000-9999
1041-4347/05/$31.00 © 2005 IEEE

Published by the IEEE Computer Society
EIC Editorial: TKDE Editorial Board Changes
Xindong Wu
  Download Citation  
Download Content
PDFs Require Adobe Acrobat
It is my great pleasure to introduce Professor Christos Faloutsos at Carnegie Mellon University as our new Associate Editor-in-Chief for the IEEE Transactions on Knowledge and Data Engineering ( TKDE).
Professor Faloutsos is a well-known researcher in database systems and data mining, and has been an associate editor for TKDE. As an Associate Editor-in-Chief, he will help me with the following activities:

    1. Revise TKDE topic areas to cover new emerging areas and technological advancements, and organize special issues on promising topics when the need arises,

    2. Identify well-recognized researchers in TKDE areas to serve on the Editorial Board, and

    3. Deal with papers that would require a special attention, such as paper submissions from my (previous and current) graduate students and postdocs.

I would like to welcome 10 new Associate Editors to the TKDE Editorial Board: Professor Dieter Fensel from the University of Innsbruck, Austria, Associate Professor Johannes Gehrke from Cornell University, Associate Professor Dimitrios Gunopulos from the University of California, Riverside, Professor Ian Horrocks from the University of Manchester, England, Associate Professor Hillol Kargupta from the University of Maryland Baltimore County, Professor Ramamohanarao (Rao) Kotagiri from the University of Melbourne, Australia, Professor Jiming Liu from Hong Kong Baptist University, China, Professor Xiaoyang Sean Wang from the University of Vermont, Associate Professor Qiang Yang from the Hong Kong University of Science and Technology, China, and Professor Chengqi Zhang from the University of Technology, Sydney, 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.
With my technical background in data mining and knowledge-based systems, and the Associate Editor-in-Chief's recognized research in database systems and data mining, I hope the new Editorial Board, including both existing Associate Editors and these new Associate Editors, now provides an excellent coverage of main TKDE areas, including data mining, database systems, and knowledge engineering. We will keep updating the Editorial Board with recognized researchers.
As an established policy for all IEEE Computer Society transactions, Associated Editors are only allowed to serve a maximum of two successive 2-year terms. The following Associate Editors have completed their two terms: Surajit Chaudhuri, Kien Hua, Masaru Kitsuregawa, S. Sitharama Iyengar, Bing Liu, Rajeev Rastogi, Elke Rundensteiner, and Wei Tek Tsai. Also, Padhraic Smyth is stepping down from the TKDE Editorial Board after completing his first term of two years, because of other commitments.
I would like to take this opportunity to thank all 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.
Xindong Wu

Christos Faloutsos is a professor at Carnegie Mellon University. He has received the Presidential Young Investigator Award by the US National Science Foundation (1989), five "best paper" awards, and several teaching awards. He is a member of the executive committee of SIGKDD; he has published more than 120 refereed articles, one monograph, and holds five patents. His research interests include data mining for streams and networks, fractals, indexing methods for spatial and multimedia bases, and database performance.

Dieter Fensel received in 1989 a Diploma in Social Science at the Free University of Berlin and a Diploma in Computer Science at the Technical University of Berlin. In 1993, he was awarded a Doctor's degree in economic science (Dr. rer. pol.) at the University of Karlsruhe and, in 1998, he received his Habilitation in Applied Computer Science. He was working at the University of Karlsruhe (AIFB), the University of Amsterdam (UvA), and the Vrije Universiteit Amsterdam (VU). In 2002, he became a chair at the University of Innsbruck, Austria. In 2003, he become the scientific director of the Digital Enterprise Research Institute (DERI) at the National University of Ireland, Galway, based on a large grant acquired from Science Foundation Ireland (SFI). His current research interests include Ontologies, semantic Web, Web services, knowledge management, enterprise application integration, and electronic commerce.

Johannes Gehrke is an associate professor in the Department of Computer Science at Cornell University and a faculty associate director of the Cornell Theory Center. He received the PhD degree in computer science from the University of Wisconsin-Madison in 1999. Dr. Gehrke's research interests are in the areas of data mining, data stream processing, distributed data management for sensor networks and peer-to-peer networks, and applications of database and data mining technology to the sciences. He has received a US National Science Foundation Career Award, an Arthur P. Sloan Fellowship, an IBM Faculty Award, the Cornell College of Engineering James and Mary Tien Excellence in Teaching Award, and the Cornell University Provost's Award for Distinguished Scholarship. He co-authored the undergraduate textbook Database Management Systems (McGrawHill, 2002), currently in its third edition, used at universities all over the world. Dr. Gehrke has served as area chair for the 20th International Conference on Machine Learning, co-chair of the 2003 ACM SIGKDD Cup, and as program co-chair of the 2004 ACM International Conference on Knowledge Discovery and Data Mining. He is a member of the ACM SIGKDD Curriculum Commmittee.

Dimitrios Gunopulos is an associate professor in the Department of Computer Science and Engineering, at the University of California, Riverside. His research is in the areas of data mining, databases, and algorithms. His current interests include efficient indexing techniques for trajectories, locally adaptive classification techniques, information retrieval in peer-to-peer systems, and analysis of sensor data. Dr. Gunopulos has held positions at the IBM Almaden Research Center (1996-1998) and at the Max-Planck-Institut for Informatics (1995-1996). He completed his undergraduate studies at the University of Patras, Greece (1990) and graduated with MA and PhD degrees from Princeton University (1992 and 1995, respectively). His research has been supported by US National Science Foundation (including an US National Science Foundation CAREER award), the Department of Defense, the Institute of Museum and Library Services, the Tobacco Related Disease Research Program, and ATT.

Ian Horrocks is a professor of computer science at the University of Manchester. His FaCT system revolutionized the design of Description Logic systems, redefining the notion of tractability for DLs and establishing a new standard for DL implementations. He is a member of the Joint EU/US Committee on Agent Markup Languages, and was heavily involved in the development of the OIL, DAML+OIL, and OWL ontology languages. He has published widely in leading journals and conferences, and has also been a member of the program/editorial committees of numerous international conferences, workshops, and journals.

Hillol Kargupta is an associate professor in the Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County. He received the PhD degree in computer science from the University of Illinois at Urbana-Champaign in 1996. He is also a cofounder of Agnik LLC, a ubiquitous data intelligence company. His research interests include mobile and distributed data mining and computation in biological process of gene expression. Dr. Kargupta won a US National Science Foundation CAREER award in 2001 for his research on ubiquitous and distributed data mining. He along with his coauthors received the best paper award at the 2003 IEEE International Conference on Data Mining for a paper on privacy-preserving data mining. He won the 2000 TRW Foundation Award, the 1997 Los Alamos Award for Outstanding Technical Achievement, and the 1996 SIAM annual best student paper prize. His research has been funded by the US National Science Foundation, US Air Force, Department of Homeland Security, NASA, and various other organizations. He has published more than 80 peer-reviewed articles in journals, conferences, and books. He has coedited two books: Advances in Distributed and Parallel Knowledge Discovery, AAAI/MIT Press, and Data Mining: Next Generation Challenges and Future Directions, AAAI/MIT Press. He is an associate editor of the IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Systems, Man, and Cybernetics, Part B. He regularly serves in the organizing and program committee of many data mining conferences. More information about him can be found at http://www.cs.umbc.edu/~hillol.

Ramamohanarao (Rao) Kotagiri received the BE degree from the Andhra University in 1972, the ME degree from the Indian Institute of Science in 1974, and the PhD degree from Monash University in 1980. He joined the Department of Computer Science and Software Engineering at the University of Melbourne in 1980, was awarded the Alexander von Humboldt Fellowship in 1983 and was appointed a professor in computer science in 1989. Dr. Kotagiri held several senior positions such as head of the School of Electrical Engineering and Computer Science at the University of Melbourne, codirector of the Key Centre for Knowledge-Based Systems, and research director for the Cooperative Research Centre for Intelligent Decision Systems. He served as a member of the Australian Research Council Information Technology Panel. He also served on the editorial boards of the Computer Journal and the VLDB Journal. At present, he is also on the editorial boards of Universal Computer Science and the Journal of Knowledge and Information Systems. He is a steering committee member of IEEE ICDM and PAKDD. He is a fellow of the Institute of Engineers Australia, Australian Academy Technological Sciences and Engineering and Australian Academy of Science. He has published more than 200 research papers. His research interests are in the areas of database systems, logic based systems, agent oriented systems, information retrieval, data mining, and machine learning.

Jiming Liu is a professor and the head of Computer Science Department at Hong Kong Baptist University (HKBU). He is the director of the Centre for e-Transformation Research (CTR), a government-funded centre focusing on basic and applied research in Web Intelligence (WI), Autonomy Oriented Computing (AOC), and Data Mining (DM). Dr. Liu received the BSc degree from East China Normal University, the MA from Concordia University, and the MEng and PhD degrees, both in electrical engineering, from McGill University. His present research interests include: Web intelligence and the wisdom Web, multiagent systems and autonomy oriented computing paradigm, social networks computing, self-organization and complex systems modeling, and distributed data-mining, learning, and reasoning methodologies. He has published more than 180 scientific articles in refereed international journals, books, and conferences. In addition, he has published 23 books, among which seven are monographs. Dr. Liu is the Editor-in-Chief of Web Intelligence and Agent Systems (IOS Press), Annual Review of Intelligent Informatics (World Scientific Publishing), and The IEEE Intelligent Informatics Bulletin (IEEE Computer Society TCII). He is an associate editor of Knowledge and Information Systems (Springer), International Journal of Web Services Research (Idea Group), and Frontiers in Artificial Intelligence and Applications book series (IOS Press). Professor Liu is the cofounder of Web Intelligence Consortium (WIC) and the IEEE/WIC/ACM International Conference on Web Intelligence (WI) and the IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT) series.

Xiaoyang Sean Wang is the Dorothean Professor of Computer Science at the University of Vermont (UVM), Burlington. He received the PhD degree in 1992 in computer science from the University of Southern California, Los Angeles, and he received the MS and BS degrees in computer science earlier from Fudan University, Shanghai, China. In 1992, he joined the faculty of the Information and Software Engineering Department at George Mason University, Fairfax, Virginia, and, in 2003, he moved to UVM. Dr. Wang's research areas include database systems, system support for temporal data and time series data, data mining, temporal reasoning, and information security. He is the principal investigator or coprincipal investigator of a number of federally sponsored research projects, and was a recipient of both the US National Science Foundation's Career and Research Initiation Awards. He has published widely in the general area of database systems in journals and at conferences such as ACM Transactions on Database Systems ( TODS), IEEE Transactions on Knowledge and Data Engineering ( TKDE), ACM SIGMOD International Conference on Management of Data (SIGMOD), and Very Large Data Bases Conference (VLDB). He has served on Program Committees (PC), as PC chair, or in other capacities for many conference organizations, and is on the editorial boards of a couple of technical journals.

Qiang Yang is an associate professor at Hong Kong University of Science and Technology. He received his PhD degree from the University of Maryland in College Park (1989) and was a faculty member at the University of Waterloo (1989-1995) and Simon Fraser University (1995-2001). He has received two best paper awards, authored two monographs, and written more than 100 articles. His research interests include knowledge engineering (planning, case-based reasoning, and machine learning) and data mining for the Web and wireless data, as well as data mining applications. He has been involved in the organization of several international conferences including AAAI, Canadian AI, and the International Conference on Case-Based Reasoning. He is also on the editorial boards of several international journals.

Chengqi Zhang received the PhD degree from the University of Queensland in computer science and the Doctor of Science (higher doctorate) degree from Deakin University. He is currently a research professor in Faculty of Information Technology at the University of Technology, Sydney (UTS). His areas of research are data mining and multiagent systems. He has published more than 200 refereed papers, edited nine books, and published three monographs. He is currently the leader of the Data Mining Program at the Capital Market Cooperative Research Centre (CMCRC). He has been a senior member of the IEEE Computer Society (IEEE) since 1995, and an associate editor or a member of the editorial board for five international journals. He had been the guest editor for three international journals and currently is editing a special issue for IEEE Transactions on Knowledge and Data Engineering. He has served as general chair, PC chair, or organizing chair for four international conferences and a member of program committees for many international or national conferences.