Keynote and Invited Speakers

Tom M. Mitchell

Speech Slides

Professor Tom Mitchell received Bachelor degree in Electrical Engineering from Massachusetts Institute of Technology in 1973, and PHD degree in Computer Science from Stanford University in 1979, and is with Department of Computer Science, at Carnegie Mellon University since 1986. His research interests include computer science, machine learning, artificial intelligence, and cognitive neuroscience. His research focuses on basic and applied problems in machine learning, understanding how the human brain represents information in terms of neural activity, and statistical learning algorithms for natural language processing.

He received many honors, such as University Professor at Carnegie-Mellon University in 2009, Elected to National Academy of Engineering in 2010, Elected Fellow of American Association for the Advancement of Science (AAAS) in 2008, Elected Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 1990, and NSF Presidential Young Investigator Award in 1984.

Feng-Hsiung Hsu

Speech Slides

Feng-Hsiung Hsu is a computer scientist and the author of the book "Behind Deep Blue: Building the Computer that Defeated the World Chess Champion". He is the Research Manager, Platforms and Devices Center, Microsoft Research Asia in Beijing. The goal of the Platforms and Devices Center (PDC) is to create or enable new computing platforms. Prior to the work in Microsoft Research Asia, Dr. Hsu was the architect and the principal designer of the IBM Deep Blue chess machine. On May 11 1997, Deep Blue beat Kasparov, the World Human Chess Champion. He made history --- making the first computer program that beat human Champion since ever.

Dr. Hsu also received many awards as follows. He was the recipient of the 1990 Mephisto Award for his doctoral dissertation and also the 1991 ACM Grace Murray Hopper Award for his contributions in architecture and algorithms for chess machines. In 1988, he was part of the "Deep Thought" team that won the Fredkin Intermediate Prize for Deep Thought's Grandmaster-level performance.

Irwin King

Speech Slides

Dr. King's research interests include machine learning, web intelligence & social computing, and multimedia processing. In these research areas, he has over 200 technical publications in journals (JMLR, ACM TOIS, IEEE TNN, Neurocomputing, NN, IEEE BME, PR, IEEE SMC, JAMC, JASIST, IJPRAI, DSS, etc.) and conferences (NIPS, IJCAI, CIKM, SIGIR, KDD, PAKDD, ICDM, WWW, WI/IAT, WCCI, IJCNN, ICONIP, ICDAR, etc.). In addition, he has contributed over 20 book chapters and edited volumes. Moreover, Dr. King has over 30 research and applied grants. One notable system he has developed is the VeriGuide System, previously known as the CUPIDE (Chinese University Plagiarism IDentification Engine) system, which detects similar sentences and performs readability analysis of text-based documents in both English and in Chinese to promote academic integrity and honesty.

Dr. King is an Associate Editor of the IEEE Transactions on Neural Networks (TNN) and IEEE Computational Intelligence Magazine (CIM). He is a member of the Editorial Board of the Open Information Systems Journal, Journal of Nonlinear Analysis and Applied Mathematics, and Neural Information Processing–Letters and Reviews Journal (NIP-LR). He has also served as Special Issue Guest Editor for Neurocomputing, International Journal of Intelligent Computing and Cybernetics (IJICC), Journal of Intelligent Information Systems (JIIS), and International Journal of Computational Intelligent Research (IJCIR). He is a senior member of IEEE and a member of ACM, International Neural Network Society (INNS), and Asian Pacific Neural Network Assembly (APNNA). Currently, he is serving the Neural Network Technical Committee (NNTC) and the Data Mining Technical Committee under the IEEE Computational Intelligence Society (formerly the IEEE Neural Network Society). He is also a member of the Board of Governors of INNS and a Vice-President and Governing Board Member of APNNA.

He is serving or has served as program and/or organizing member in numerous top international conferences and workshops, e.g., WWW, ACM MM, CIKM, ICME, ICASSP, IJCNN, ICONIP, ICPR, etc. He has also served as reviewer for international conferences as well as journals, e.g., Information Fusion, IEEE TCAS, SIGMOD, IEEE Transactions on Neural Networks, IEEE Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on System, Man, and Cybernetics, Machine Vision and Applications, International Journal of Computer Vision, Real-Time Imaging, SPIE Journal of Electronic Imaging, International Journal of Pattern Recognition and Artificial Intelligence, etc.

Dr. King has received several exemplary teaching and service awards from the Department as well as from the Faculty of Engineering. He serves as a member of the Engineering Panel with the Research Grants Council (RGC), Hong Kong SAR Government. He is also the Director of the International Programmes in the Engineering Faculty. In addition, he is a member of the Faculty Curriculum Committee and serves as the Chair of the Curriculum Committee for the department. Dr. King is also actively involved in education of students outside of the classroom. For example, he has led several ACM Programming Contest Teams to the ACM ICPC World Finals since 2000. Moreover, he actively promotes the use of technologies in education. One great example is VeriGuide, which is a system that promotes academic honesty and integrity through the use of advanced information retrieval techniques to locate similar texts. The VeriGuide system is being deployed at the Chinese University with over 14,000 student, faculty, and staff members. The system is also being used in a number of local secondary schools.

Dr. King joined the Chinese University of Hong Kong in 1993. He received his B.Sc. degree in Engineering and Applied Science from California Institute of Technology, Pasadena and his M.Sc. and Ph.D. degree in Computer Science from the University of Southern California, Los Angeles.

Olivier Teytaud

Speech Slides

Dr. Olivier Teytaud received the M.S. degree in computer science from the University of Normale Sup, Lyon, France, in 1998 and the Ph.D. degree from the Lyon 2 University, Lyon, France, in 2001. Currently, he is a Researcher at TAO, INRIA Saclay-IDF, CNRS, Lri, Université Paris-Sud, Orsay, France. His interests are in artificial intelligence, statistical learning, evolutionary algorithms, and games.

Dr. Teytaud is the leader of the TAO project-team which developed the MoGo program. MoGo broke a new record by producing the best worldwide performance to date in Go 19x19. The program MoGo won the following.

    • The first ever win against a pro 9p in 9x9 Go as black agasint Zhou-Jun Xhou (周俊勳九段), in Taipei, 2009.
    • The first ever win against a pro in 9x9 Go as black (against Catalin Taranu, 5p, in Rennes 2009)
    • A handicap 7 game against a pro 9Dan (9p) player at Taiwan Open 2009.
    • A handicap 6 game against a pro 1Dan (1p) player at Taiwan Open 2009.
    • A 9x9 game as white against a 2p/10Dan player at Taiwan Open 2009.
    • The Hakone GPW Cup 2008.
    • The 19x19 Computer Olympiads 2007.
    • 2008 World 9x9 Computer Go Championship in Taiwan, also opportunity for several games against humans ( popularization papers)
    • One of the games against Catalin Taranu.
    • Two out of four 9x9 games against Motoki Noguchi in Clermont-Ferrand.
    • First ever win against a professional player in even game: game won against Guo Juan, Amsterdam 2007, 9x9 Go. Guo Juan won the two other games.
    • First ever win against a professional player in even non-blitz game: game won against Catalin Taranu, Paris 2008, 9x9 Go. Catalin Taranu won the two other games.
    • First ever win against a professional player in 19x19 Go: game won against Kim Myungwan, 19x19 Go, Handicap 9.

Kay Chen Tan

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Associate Professor Kay Chen Tan received the B. Eng degree with First Class Honors in Electronics and Electrical Engineering, and the Ph.D. degree from the University of Glasgow, Scotland, in 1994 and 1997, respectively. He is actively pursuing research in computational and artificial intelligence, with applications to multi-objective optimization, scheduling, automation, data mining, and games. 

Dr Tan has published over 90 journal papers, over 100 papers in conference proceedings, co-authored 5 books including Multiobjective Evolutionary Algorithms and Applications (Springer-Verlag, 2005), Modern Industrial Automation Software Design (John Wiley, 2006; Chinese Edition, 2008), Evolutionary Robotics: From Algorithms to Implementations (World Scientific, 2006; Review), Neural Networks: Computational Models and Applications (Springer-Verlag, 2007), and Evolutionary Multi-objective Optimization in Uncertain Environments: Issues and Algorithms (Springer-Verlag, 2009), co-edited 4 books including Recent Advances in Simulated Evolution and Learning (World Scientific, 2004), Evolutionary Scheduling (Springer-Verlag, 2007), Multiobjective Memetic Algorithms (Springer-Verlag, 2009), and Design and Control of Intelligent Robotic Systems (Springer-Verlag, 2009).

Dr Tan has been invited to be a keynote/invited speaker for over 10 international conferences. He served in the international program committee for over 100 conferences and involved in the organizing committee for over 20 international conferences, including the General Co-Chair for IEEE Congress on Evolutionary Computation 2007 in Singapore and the General Co-Chair for IEEE Symposium on Computational Intelligence in Scheduling 2009 in Tennessee, USA. Dr Tan is currently a member of Evolutionary Computation Technical Committee in the IEEE Computational Intelligence Society. 

Dr Tan has been appointed as the Editor-in-Chief of the IEEE Computational Intelligence Magazine (CIM) starting 2010. He also serves as an Associate Editor / Editorial Board member of over 10 international journals, such as IEEE Transactions on Evolutionary Computation, IEEE Transactions on Computational Intelligence and AI in Games, Evolutionary Computation, European Journal of Operational Research, Journal of Scheduling, and International Journal of Systems Science. 

Dr Tan received the Recognition Award (2008) from the International Network for Engineering Education & Research (iNEER) for his outstanding contributions to engineering education and research. He was also a winner of the NUS Outstanding Educator Awards (2004), the Engineering Educator Awards (2002, 2003, 2005), the Annual Teaching Excellence Awards (2002, 2003, 2004, 2005, 2006), and the Honour Roll Awards (2007). Dr Tan is currently a Fellow of the NUS Teaching Academic.