Charles Elkan received the BA degree from Cambridge University and the PhD degree from Cornell University. He joined the University of California, San Diego, in 1990 and is currently a full professor in the Department of Computer Science and Engineering. Dr. Elkan's current research is on learning algorithms and data mining. He has also done significant work in computational biology and on knowledge-based software. He and his PhD students have won many awards, and his research on the foundations of fuzzy logic was the central topic of a recent book, La trame de l'evidence by Claude Rosental, Presses Universitaires de France, Paris, 2003. Dr. Elkan is an editorial board member of the Machine Learning and Computational Intelligence journals and of the Journal of Artificial Intelligence Research.
Ling Liu is an associate professor in the College of Computing at Georgia Tech. Her research involves both experimental and theoretical study of distributed data intensive systems, including distributed middleware systems, advanced Internet systems, and Internet data management. Her current research interests range from performance, scalability, reliability, to security and privacy of Internet systems, mobile and wireless computing systems, and pervasive computing applications. Dr. Liu has published more than 100 articles in international journals and international conferences. Her research group has produced a number of open source software systems, of which the most popular ones are WebCQ and XWRAPElite. She is currently a member of ACM SIGMOD Executive Committee, the editor-in-chief of ACM SIGMOD Record, and on the editorial board of several international journals, including the VLDB Journal, the International Journal of Web Services, the I nternational Journal of Grid and Utility Computing, and served as a vice PC chair or PC co-Chair of several international conferences, including the IEEE International Conference on Data Engineering (ICDE 2004, 2006) and the IEEE International Conference on Web Services (2004). Her current research is partially funded by government grants from the US National Science Foundation, the US Defense Advanced Research Projects Agency, and the US Department of Energy, and industry grants from IBM and HP.