Basser Seminar Series

Clustering Support Vector Machines with Application to Prediction of Protein Local Tertiary Structures

Professor Yi Pan
Computer Science Department, Georgia State University, USA

Monday 17 September 2007, 3-4 pm (Note different day and time)

School of IT Building, Board room 124, Level 1 (Note different venue)

Abstract

In this talk, we introduce a novel computational model called Clustering Support Vector Machines (CSVMs) to deal with the complex classification problems in many applications with huge datasets. Taking advantage of both theory of granular computing and advanced statistical learning methodology, CSVMs are built specifically for each information granule partitioned intelligently by the clustering algorithm. This feature makes learning tasks for each CSVM more specific and simpler. Moreover, since a CSVM models each granule, the CSVM model can be easily parallelized and handle huge datasets efficiently. We apply this new model to the prediction of protein local tertiary structures. Compared with the conventional clustering method, the prediction accuracy has been improved noticeably when the new CSVM model is used.

Speaker's biography

Yi Pan is the chair and a professor in the Department of Computer Science and a professor in the Department of Computer Information Systems at Georgia State University. Dr. Pan received his B.Eng. and M.Eng. degrees in computer engineering from Tsinghua University, China, in 1982 and 1984, respectively, and his Ph.D. degree in computer science from the University of Pittsburgh, USA, in 1991.

Dr. Pan's research interests include parallel and distributed computing, optical networks, wireless networks, and bioinformatics. Dr. Pan has published more than 100 journal papers with 30 papers published in various IEEE journals. In addition, he has published over 100 papers in refereed conferences (including IPDPS, ICPP, ICDCS, INFOCOM, and GLOBECOM). He has also co-authored/co-edited 30 books (including proceedings) and contributed several book chapters. His pioneer work on computing using reconfigurable optical buses has inspired extensive subsequent work by many researchers, and his research results have been cited by more than 100 researchers worldwide in books, theses, journal and conference papers. He is a co-inventor of three U.S. patents (pending) and 5 provisional patents, and has received many awards from agencies such as NSF, AFOSR, JSPS, IISF and Mellon Foundation. His recent research has been supported by NSF, NIH, NSFC, AFOSR, AFRL, JSPS, IISF and the states of Georgia and Ohio. He has served as a reviewer/panelist for many research foundations/agencies such as the U.S.

National Science Foundation, the Natural Sciences and Engineering Research Council of Canada, the Australian Research Council, and the Hong Kong Research Grants Council. Dr. Pan has served as an editor-in-chief or editorial board member for 15 journals including 5 IEEE Transactions and a guest editor for 10 special issues for 9 journals including 2 IEEE Transactions. He has organized several international conferences and workshops and has also served as a program committee member for several major international conferences such as INFOCOM, GLOBECOM, ICC, IPDPS, and ICPP.

Dr. Pan has delivered over 10 keynote speeches at many international conferences. Dr. Pan is an IEEE Distinguished Speaker (2000-2002), a Yamacraw Distinguished Speaker (2002), a Shell Oil Colloquium Speaker (2002), and a senior member of IEEE. He is listed in Men of Achievement, Who's Who in Midwest, Who's Who in America, Who's Who in American Education, Who's Who in Computational Science and Engineering, and Who's Who of Asian Americans.