The Sixth Asia Pacific Web Conference
Hangzhou, China, April 14-17, 2004
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WISE'04
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APWEB'04 will be held in Hangzhou, China.
Keynote   Speakers  
 
     

Dr. Philip S. Yu

Manager

Software Tools and Techniques Group
IBM Thomas J. Watson Research Center USA
http://www.research.ibm.com/people/p/psyu/
 

Dr. Philip S. Yu received the B.S. Degree in E.E. from National Taiwan University, the M.S. and Ph.D. degrees in E.E. from Stanford University, and the M.B.A. degree from New York University. He is with the IBM Thomas J. Watson Research Center and currently manager of the Software Tools and Techniques group. His research interests include data mining, Internet applications and technologies, database systems, multimedia systems, parallel and distributed processing, and performance modeling. Dr. Yu has published more than 360 papers in refereed journals and conferences. He holds or has applied for more than 250 US patents.

Dr. Yu is a Fellow of the ACM and a Fellow of the IEEE. He is the Editor-in-Chief of IEEE Transactions on Knowledge and Data Engineering. He is also an associate editor of ACM Transactions on the Internet Technology and that of Knowledge and Information Systems. He is a member of the IEEE Data Engineering steering committee and is also on the steering committee of IEEE Conference on Data Mining. He was an editor and advisory board member of IEEE Transactions on Knowledge and Data Engineering and also a guest co-editor of the special issue on mining of databases. In addition to serving as program committee member on various conferences, he was the program co-chairs of the 11th Intl. Conference on Data Engineering and the 6th Pacific Area Conference on Knowledge Discovery and Data Mining, and the program chairs of the 2nd Intl. Workshop on Research Issues on Data Engineering: Transaction and Query Processing, the PAKDD Workshop on Knowledge Discovery from Advanced Databases, and the 2nd Intl. Workshop on Advanced Issues of E-Commerce and Web-based Information Systems. He served as the general chair of the 14th Intl. Conference on Data Engineering and the general co-chair of the 2nd IEEE Intl. Conference on Data Mining. He has received several IBM and external honors including Best Paper Award, 2 IBM Outstanding Innovation Awards, an Outstanding Technical Achievement Award, 2 Research Division Awards and the 77th plateau of Invention Achievement Awards. He received an Outstanding Contributions Award from IEEE Intl. Conference on Data Mining in 2003 and also an IEEE Region 1 Award for "promoting and perpetuating numerous new electrical engineering concepts" in 1999. Dr. Yu is an IBM Master Inventor and was recognized as one of the IBM's ten top leading inventors in 1999.

 

     

Prof. Maria E. Orlowska

Deputy Head

School of Information Technology and Electrical Engineering

Head

The Data and Knowledge Engineering Research Group
The University of Queensland
Australia
http://www.cs.uq.oz.au/people/staff/maria.html
 
Prof. Maria E Orlowska is currently the Professor in Information Systems and leader of the Data and Knowledge Engineering Group at the University of Queensland in School of Information Technology and Electrical Engineering.

She has been elected as a Fellow of Australian Academy of Science in 2003.

Since 1990 she is involved in research work at the Distributed Systems Technology Center, DSTC Pty Ltd, initially as a project leader and since 2000 as a Distinguished Research Fellow. Prof Orlowska served on many international conferences as a PC Chair and other major roles. She is a member of the Editorial Board of several international journals such as, Int Journal of Data and Knowledge Engineering and Int Journal of Internet and Web Information Systems. Since 1994 till 2000 she served as a VLDB Endowment trustee as a Far East representative. Her research interests and publications include workflow technology, e-Business collaboration, business process modeling and verification, high performance OLTP systems, transaction processing, and distributed / integrated databases.
She has published more than 180 research papers in international journals and conference proceedings.

 

     

Prof. Arun Sharma

Director
Sydney Node of National ICT Australia (NICTA)

Professor
School of
Computer Science and Engineering,
University of New South Wales
Australia
http://www.cse.unsw.edu.au/~arun/
 
Prof. Arun Sharma is the Director of the Sydney Research Laboratory of National ICT Australia Limited (NICTA). He was a co-leader of the successful bid for the Centre of Excellence in Information and Communication Technology that led to the establishment of NICTA.

He is also a Professor of Computer Science at the University of New South Wales (UNSW) where he was the Head of its School of Computer Science and Engineering from January 1999 to June 2002. He was also the UNSW bid leader for the establishment of the Cooperative Research Centre for Smart Internet Technology.

His research interests are learning systems, computability and complexity, data mining and knowledge management. He is the Chair of the IFIP Working Group 1.4 on Computational Learning Theory and Co-Chair of the steering committee of the International Conference on Algorithmic Learning Theory. He has also served as elected member on the steering committees of both the American and European conferences on computational learning theory.

He has received over $1 million in competitive grant funding from the Australian Research Council for his personal research. He has authored and edited four books, and published 34 journal articles and 39 papers
in refereed conference proceedings.

Prior to joining UNSW in 1991, he was a Post-Doctoral Associate in the Department of Brain and Cognitive Science at the Massachusetts Institute of Technology. He received a PhD in Computer Science from the State University of New York at Buffalo in 1990 and his undergraduate degree in Computer Science from the Birla Institute of Technology and Science, Pilani in 1985. He is also a certified instructor for the Personal Software Process from the Software Engineering Institute of Carnegie Mellon University.

 
       
     
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