List of invited speakers

Dr. Eugene Santos, Jr. received his B.S. ('85) in Mathematics and Computer Science from Youngstown State University, a M.S. ('86) in Mathematics (specializing in Numerical Analysis) from Youngstown State University, as well as Sc.M. ('88) and Ph.D. ('92) degrees in Computer Science from Brown University. He is currently Professor of Engineering in the Thayer School of Engineering at Dartmouth College, Hanover, NH. His areas of research interest include artificial intelligence, intent inferencing, social and cultural modeling, computational social science, automated reasoning, decision science, adversarial reasoning, user modeling, natural language processing, probabilistic reasoning, and knowledge engineering, verification and validation, protein folding, virtual reality, and active user interfaces. He is a Fellow of the IEEE and currently, Editor-in-Chief for the IEEE Transactions on Cybernetics (formerly IEEE Transactions on Systems, Man, and Cybernetics: Part B), an associate editor for the International Journal of Image and Graphics, and is also on the editorial advisor board for System and Information Sciences Notes and on the editorial boards for Journal of Intelligent Information Systems and Journal of Experimental and Theoretical Artificial Intelligence. He also has many hobbies including volleyball, music composition, wood working, science fiction, raising goldfish and Koi, and Chinese culture.

Dr. Jian Pei is currently Professor of Computing Science at the School of Computing Science at Simon Fraser University, Canada. He received a Ph.D. degree in Computing Science from Simon Fraser University, Canada, in 2002, under Dr. Jiawei Han's supervision. He also received a B. Eng. degree and a M. Eng. degree, both in Computer Science, from Shanghai Jiao Tong University, China, in 1991 and 1993, respectively. Since 2000, he has published one monograph and over 140 research papers in refereed journals and conferences, has served in the organization committees and the program committees of over 130 international conferences and workshops, and has been a reviewer for the leading academic journals in his fields. He is an associate editor-in-chief of IEEE Transactions of Knowledge and Data Engineering (TKDE), and an associate editor or editorial board member of ACM Transactions on Knowledge Discovery from Data (TKDD), Data Mining and Knowledge Discovery, Statistical Analysis and Data Mining, Intelligent Data Analysis, and Journal of Computer Science and Technology. He is a senior member of the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE). He is an ACM Distinguished Speaker. He is the recipient of the British Columbia Innovation Council 2005 Young Innovator Award, an NSERC 2008 Discovery Accelerator Supplements Award (100 awards cross the whole country, 10 in computer science), an IBM Faculty Award (2006), a KDD Best Application Paper Award (2008), and an IEEE Outstanding Paper Award (2007).

Dr. Vijay Raghavan is the Distinguished Professor of Computer Science at the Center for Advanced Computer Studies and a co-director of the Laboratory for Internet Computing at UL Lafayette. His research interests are in information retrieval and extraction, data and web mining, multimedia retrieval, data integration, and literature-based discovery. He has published around 250 peer-reviewed research papers. These research contributions cumulatively accord him an h-index* of 30, based on citations to his publications in Scholar.Google. He has served as major adviser for 24 doctoral students and has garnered $10 million in external funding. Dr. Raghavan brings substantial technical expertise, interdisciplinary collaboration experience, and management skills to his projects. His service work at the university includes coordinating the Louis Stokes-Alliance for Minority Participation (LS-AMP) program since 2001. Raghavan has served as PC Chair, PC Co-chair or PC member in countless ACM and IEEE sponsored conferences. He received the IEEE ICDM 2005 Outstanding Service Award. Raghavan was an ACM National Lecturer from 1993 to 2006. He chaired the ICDM Awards Committee in 2006 and served as a committee member until 2008. He was a member of the Advisory Committee of the NSF Computer and Information Science and Engineering directorate, from 2008-2010. He is the Founding Director of the NSF-sponsored Industry University Cooperative Research Center, on the theme of Visual and Decision Informatics, since February 2012. He serves on the Executive Committee of the IEEE -TC on Intelligent Informatics and is an Associate Editor of the Web Intelligence and Agent Systems journal. He is an ACM Distinguished Scientist and an IEEE Senior Member.

Dr. Stan Matwin is a professor at the School of Electrical Engineering and Computer Science, University of Ottawa, where he directs the Text Analysis and Machine Learning (TAMALE) lab. He is also affiliated with the Institute for Computer Science of the Polish Academy of Sciences (IPI PAN) His research is in machine learning, data mining, and their applications, as well as in technological aspects of Electronic Commerce. Author and co-author of over 200 research papers, he has worked at universities in Canada, the U.S., Europe and Latin America, where in 1997 he held the UNESCO Distinguished Chair in Science and Sustainable Development. Former president of the Canadian Society for the Computational Studies of Intelligence (CSCSI) and of the IFIP Working Group 12.2 (Machine Learning). Founding Director of the Graduate Certificate in Electronic Commerce at University of Ottawa. Founding Director of the Information Technology Cluster of the Ontario Research Centre for Electronic Commerce. Chair of the NSERC Grant Selection Committee for Computer Science and member of the Board of Directors of Communications and Information Technology Ontario (CITO). Recipient of a CITO Champion of Innovation Award. Programme Committee Chair and Area Chair for a number of international conferences in AI and Machine Learning. Member of the Editorial Boards of the Machine Learning Journal, Computational Intelligence Journal, and the Intelligent Data Analysis Journal. Stan is a recipient of the Distinguished Service Award of the Canadian Artificial Intelligence Society (CAIAC). He is Fellow of the European Coordinating Committee for Artificial Intelligence and Fellow of the Canadian Artificial Intelligence Society.

Dr. Boris Mirkin is a Distinguished Professor of Applied Mathematics, Department of Data Analysis and Machine Intelligence, National Research University Higher School of Economics, Moscow, Russia, and Professor Emeritus, School of Computer Science and Information Systems, Birkbeck University of London, UK. He is interested in mathematical models, computational algorithms and programs for visualization, clustering and interpretation of data and texts with applications in sociology, marketing, genomics, ecology, and other areas. He has developed a number of innovative approaches and published about a hundred refereed papers in Russian and international journals, as well as several monographs of which the latest are .Clustering: A Data Recovery Approach., Taylor and Francis/CRC Press, 2012, and .Core Concepts in Data Analysis: Summarization, Correlation and Visualization., Springer, 2011. For further information see his web pages:

- www.dcs.bbk.ac.uk/~mirkin/ and

- www.hse.ru/en/org/persons/3954058.

Dr. Bo Zhang is a professor of Computer Science and Technology Department of Tsinghua University, the fellow of Chinese Academy of Sciences. In 1958 he graduated from Automatic Control Department of Tsinghua University, and became a faculty member since then. From 1980/02 to 11982/02, he visited University of Illinois at Urbana-Champaign, USA as a scholar. In 2011, Hamburg University awarded him Honorary Doctor of Natural Sciences. He is now the member of Technical Advisory Board of Microsoft Research Asia. He is engaged in the research on artificial intelligence, artificial neural networks, machine learning, and so on. And he also is engaged in the research applying technology that applies the theories mentioned above into pattern recognition, knowledge engineering, and robotics. In these fields, he has published over 200 papers and 5 monographs (chapters). His monograph involved "Theory and Applications of Problem Solving" in Chinese/English version won the special-class prize of excellent academic monograph from College and University Press awarded by State Educational Commission. His a academic achievement won ICL European Artificial Intelligence Prize, etc. In addition, he took part in building up thee State Key Lab of Intelligent Technology and Systems and served as director of the lab from 1990 to 1996. Recently, he founded research group for cognitive computation and multimedia information processing. The group has got some important results in machine learning, image and video analysis and retrieval.