Jiawei Han, Fellow IEEE, Fellow ACM
University of Illinois at Urbana-Champaign
Jiawei Han is a Professor of Computer Science at the University of Illinois. He has been researching into data mining, information network analysis, and database systems, with over 500 publications. He is the founding Editor-in-Chief of ACM Transactions on Knowledge Discovery from Data (TKDD) and on the editorial boards of several other journals. Jiawei has received IBM Faculty Awards, HP Innovation Awards, ACM SIGKDD Innovation Award (2004), IEEE Computer Society Technical Achievement Award (2005), and IEEE W. Wallace McDowell Award (2009). He is a Fellow of ACM and IEEE. He is currently the Director of Information Network Academic Research Center (INARC) supported by the Network Science-Collaborative Technology Alliance (NS-CTA) program of U.S. Army Research Lab. His book "Data Mining: Concepts and Techniques" (Morgan Kaufmann) has been used worldwide as a textbook. .
Raj Acharya, Fellow IEEE, Fellow AIMBE
Department Head and Professor
Computer Science and Engineering Department,
The Pennsylvania State University
Raj Acharya obtained his Ph.D. from the Mayo Graduate School of Medicine/University of Minnesota in 1984. Since then, he has worked as a research scientist at the Mayo Clinic and at GE (Thomson)-CGR in Paris, France. He has also been a Faculty Fellow at the Night Vision Laboratory in Fort Belvoir and has been a NASA-ASEE Faculty Fellow at the Johnson Space Center in Houston, TX. He is currently the Head of Computer Science and Engineering at Penn State.
His main research thrusts are in the general areas of Machine Learning and Bioinformatics. He is the architect of the PCABC Cancer Bioinformatics Data warehouse project. He works on using information fusion techniques for genomics and proteomics. He is also developing fractal models for the DNA replication and transcription sites.
He is an Associate Editor of IEEE/ACM Transactions on Computational Biology and Bioinformatics. He was Founding Chair of the IAPR Technical Committee on Pattern Recognition for Bioinformatics. His research work has been featured among others in Business week, Mathematics Calendar, The Scientist, Diagnostic Imaging, Biomedical Engineering Newsletter, and Drug Design. He has initiated 4 Centers of Excellence at Penn State. He has initiated multi-nation Global Cyber Learning Factory that imparts global engineering education to students.
Wei-Ying Ma, Fellow IEEE
Deputy Managing Director,
Microsoft Research Asia
Wei-Ying Ma is an Assistant Managing Director at Microsoft Research Asia, where he oversees multiple research groups in the areas of Web Search, Data Mining, and Natural Language Computing.
Dr. Ma and his team of researchers have developed many key technologies that have been transferred to Microsoft’s Bing Search Engine. He has published more than 250 papers at international conferences and journals. He is a Fellow of the IEEE and a Distinguished Scientist of the ACM, and currently serves on the editorial boards of ACM Transactions on Information System (TOIS) and the ACM/Springer Multimedia Systems Journal. In recent years, Dr. Ma served as Program Co-Chair of WWW 2008, Program Co-Chair of the Pacific Rim Conference on Multimedia (PCM) 2007, and General Co-Chair of the Asia Information Retrieval Symposium (AIRS) 2008. He is the General Co-Chair of ACM SIGIR 2011.
Before joining Microsoft in 2001, Dr. Ma was with Hewlett-Packard Labs in Palo Alto, California, where he worked in the fields of multimedia content analysis and adaptation. From 1994 to 1997, he was engaged in the Alexandria Digital Library project at the University of California, Santa Barbara. He received a Bachelor of Science in Electrical Engineering from the National Tsing Hua University in Taiwan in 1990. He earned a Master of Science degree and a doctorate in Electrical and Computer Engineering from the University of California at Santa Barbara in 1994 and 1997, respectively.