Invited Speakers


Invited Speakers (in Alphabetical order) 

1. Jerome Friedman Stanford University, USA
Dr. Jerome Friedman is a Professor at the Department of Statistics, and at Stanford Linear Accelerator Center, Stanford University. He received A.B. and PhD degrees from University of California, Berkley. Among numerous awards recent are: ACM Data Mining Lifetime Innovation Award (2002), Manuel and Carol Parzen Award for Statistical Innovation (2004), and Fellow of the American Academy of Arts and Science (2005). He is Associate Editor for Data Mining and Knowledge Discovery and Machine Learning journals and a Fellow of the American Statistical Association. 2. Michael Kearns University of Pennsylvania, USA
Dr. Michael Kearns is a Professor of Computer and Information Science, University of Pennsylvania and National Center Chair in Resource Management and Technology. He received BS from University of California at Berkeley in math and computer science, and a Ph.D. in computer science from Harvard University. His primary research interests are in machine learning, artificial intelligence, algorithmic game theory, and computational finance. While the majority of his work is mathematical in nature, he has also participated in a variety of empirical and experimental work, including spoken dialogue systems, software agents, and most recently, human-subject experiments in strategic and economic interaction. Dr Kearns is currently on the editorial boards of Mathematics of Operations Research, Games and Economic Behavior, the Journal of the ACM, and the MIT Press series on Adaptive Computation and Machine Learning. 3. Stephen H. Muggleton Imperial College London, UK
Dr. Stephen H. Muggleton is a professor and head of the Computational Bioinformatics Laboratory at Department of Computing, Imperial College London, University of London. His primary research interests are in Inductive Logic Programming, Machine Learning applications in Molecular Biology, Intelligent adaptive agents and Natural language learning. Since January 2007 Dr. Muggleton is serving as Microsoft Research/Royal Academy of Engineering Research Chair in Machine Learning at Department of Computing, Imperial College London. He is also director of Modelling at the Centre for Integrative Systems Biology at Imperial College (CISBIC). Dr. Muggleton is editor-in-chief of the Machine Intelligence Series. 4. Robert Schapire Princeton University, USA
Dr. Robert Schapire received his ScB in math and computer science from Brown University in 1986, and his SM (1988) and PhD (1991) from MIT under the supervision of Ronald Rivest. After a short post-doc at Harvard, he joined the technical staff at AT&T Labs (formerly AT&T Bell Laboratories) in 1991 where he remained for eleven years. At the end of 2002, he became a Professor of Computer Science at Princeton University. His awards include the 1991 ACM Doctoral Dissertation Award, the 2003 Gödel Prize and the 2004 Kanelakkis Theory and Practice Award (both of the last two with Yoav Freund). His main research interest is in theoretical and applied machine learning.