Bibliographies of Keynotes and Invited Speakers

Anil K. Jain

Departments of Computer Science & Engineering,
Electrical & Computer Engineering and Statistics & Probability
Michigan State University

Anil Jain is a University Distinguished Professor in the Departments of Computer Science & Engineering, Electrical & Computer Engineering and Statistics & Probability at Michigan State University. He served as the Department Chair during 1995-99. He received his B.Tech. degree from Indian Institute of Technology, Kanpur in 1969 and M.S. and Ph.D. degrees from Ohio State University in 1970 and 1973, respectively. His research interests include statistical pattern recognition, data clustering, texture analysis, document image understanding and biometric authentication .

He received awards for best papers in 1987 and 1991, and for outstanding contributions in 1976, 1979, 1992, 1997 and 1998 from the Pattern Recognition Society. He also received the 1996 IEEE Transactions on Neural Networks Outstanding Paper Award. He was the Editor-in-Chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence (1991-1994). He is a fellow of the AAAS, ACM, IEEE, International Association of Pattern Recognition (IAPR) and SPIE. He has received a Fulbright Research Award, a Guggenheim fellowship and the Alexander von Humboldt Research Award. He delivered the 2002 Pierre Devijver lecture sponsored by IAPR and received the 2003 IEEE Computer Society Technical Achievement Award.

Holder of six patents in the area of fingerprint matching, he is the author of a number of books: Handbook of Multibiometrics, Springer 2006, Biometric Systems, Technology, Design and Performance Evaluation, Springer 2005, Handbook of Face Recognition, Springer 2005, Handbook of Fingerprint Recognition, Springer 2003 (received the PSP award from the Association of American Publishers), BIOMETRICS: Personal Identification in Networked Society, Kluwer 1999, 3D Object Recognition Systems, Elsevier 1993, Markov Random Fields: Theory and Applications, Academic Press 1993, Neural Networks and Statistical Pattern Recognition, North-Holland 1991, Analysis and Interpretation of Range Images, Springer-Verlag 1990, Algorithms For Clustering Data, Prentice-Hall 1988, and Real-Time Object Measurement and Classification, Springer-Verlag 1988.

ISI has designated him as a highly cited researcher. According to Citeseer, the book Algorithms for Clustering Data by Jain and Dubes (Prentice-Hall, 1988) is ranked # 93 in Most Cited Articles in Computer Science (over all times). The survey paper "Data Clustering: A Review" by Jain, Murty and Flynn (ACM Computing Surveys, Vol. 31, No. 3, 1999, 264-323) is ranked # 28 in Most Cited Articles in Computer Science published in 1999.

He is an Associate editor of the IEEE Transactions on Information Forensics and Security and ACM Transactions on Knowledge Discovery in Data. He is a member of The National Academies committees on Whither Biometrics and Improvised Explosive Devices.


Lawrence O. Hall

Computer Science and Engineering,
University of South Florida

Lawrence O. Hall is a Professor of Computer Science and Engineering at University of South Florida. He received his Ph.D. in Computer Science from the Florida State University in 1986 and a B.S. in Applied Mathematics from the Florida Institute of Technology in 1980. He is a fellow of the IEEE. His research interests lie in distributed machine learning, extreme data mining, pattern recognition and integrating AI into image processing. The exploitation of imprecision with the use of fuzzy logic in pattern recognition, AI and learning is a research theme. He has authored or co-authored over 60 publications in journals, as well as many conference papers and book chapters. Some recent publications appear in Articial Intelligence in Medicine, Neural Computation, Pattern Recognition Letters, Journal of Machine Learning research, IEEE Transactions on Systems, Man, and Cybernetics, IEEE Transactions on Evolutionary Computing, the International Conference on Data Mining, the Multiple Classier Systems Workshop, and the FUZZ-IEEE conference.

He received the IEEE SMC Society Outstanding contribution award in 2000. He received an Outstanding Research achivement award from the Univ. of South Florida in 2004. A past president of NAFIPS. The former vice president for membership of the SMC society. He is the President of the IEEE Systems, Man and Cybernetics society for 2006. He was the Editor-In-Chief of the IEEE Transactions on Systems, Man and Cybernetics, Part B, 2002-05. Also, associate editor for IEEE Transactions on Fuzzy Systems, International Journal of Intelligent Data Analysis, and International Journal of Approximate Reasoning.


Ruwei Dai

Chinese Academy of Sciences, China

Ruwei Dai (Juwei Tai) is a member (Academician) of Chinese Academy of Sciences (CAS). He graduated from Peking University in 1955. From 1980 to 1982, he was a visiting scholar at the school of Electrical Engineering, Purdue University, worked with Prof. K.S. Fu. He was elected to a member of CAS in 1991, and was a part-time professor of Tsinghua University and Beijing Normal University, and a honorary professor of more than 30 universities. Currently, he is a research professor at the Institute of Automation of CAS, the president of Chinese Association of Automation, vice chairman of the Information Science Division of CAS, academic committee chairman of Sino-Canadian High-Tech Center of Resources and Environment, and the Editor-in-Chief of the Chinese Journal of Pattern Recognition and Artificial Intelligence.

Professor Dai’s research interests include Automatic Control, Pattern Recognition, Artificial Intelligence, Intelligent Control and Noetic Sciences. In 1950s, he was engaged in research on Engineering Cybernetics and Optimal Control, and solved the numerical calculating problem of time optimal control. In 1970s, he studied pattern recognition firstly in China, and proposed the semantic-syntactic method by combining statistical pattern recognition with syntactic pattern recognition. Since the middle of 1980s, he applied artificial neural network to knowledge systems and pattern recognition, and worked on associated memory and thinking in imagery by means of neural network. In the beginning of 1990s, his interests were Intelligent Control, handwritten Chinese character recognition by meta-synthesis, Open Complex Giant System and its methodology. Up to now, he has published 5 books and more than 200 articles, and has supervised more than 70 Ph.D. and MS students. He cooperated with famous Chinese scientist Xuesen Qian (H.S. Tsien) and others to do the research on some frontier scientific fields. He edited a series of books "Intelligent Automation", which got the national book award of 1999.


Richard Hartley

Department of Systems Engineering,
Australian National University

Professor Richard Hartley is a member of the Vision Science, Technology and Applications Program in National ICT Australia; from 2003 until 2006 he was the leader of this research group. This program seeks to apply method of Computer Vision and Sensor Technology in a range of real-world problems, ranging from motor-vehicle safety to improved methods of health care. To this end, the research program supports research projects in Intelligent Vehicles, Surveillance, Mobile Robotics and Medical Imaging.

In 2001, Professor Hartley returned from the USA to a position in the Department of Information Engineering at the Australian National University. Before that, he worked at the General Electric Research and Development Center in Schenectady New York from 1985 to 2001. During the period 1985-1988, he was involved in the design and implementation of Computer-Aided Design tools for electronic design and created a very successful design system called the Parsifal Silicon Compiler. In 1991 he was awarded GE's Dushman Award for this work.

He began work in Image Understanding and Scene Reconstruction for GE's Simulation and Control Systems Division. This division built large-scale flight-simulators. Dr. Hartley's projects in this area were in the construction of terrain models and texture mosaics from aerial and satellite imagery.

In 1991, he began an extended research effort in the area of applying geometric techniques to the analysis of video. This far-reaching research led to fundamental advances in maching-understanding of video, and opened up one of the most popular areas of Computer Vision research in the 1990s. The most visible outcome of this research was in automating the creation of special effects in the film entertainment industry. In 2000, he co-authored a book “Multiple View Geometry in Computer Vision” for Cambridge University Press, summarizing the previous decade’s research in this area. This has become one of the most popular research reference texts in Computer Vision.

He has authored over 100 papers in Photogrammetry, Computer Vision, Geometric Topology, Geometric Voting Theory, Computational Geometry and Computer-Aided Design, and holds 34 US patents.


Olivier Faugeras

National Research Institute in Computer Science and Control Theory (INRIA)

Olivier FAUGERAS is a graduate from the Ecole Polytechnique (1971). He holds a PhD in Computer Science and Electrical Engineering from the University of Utah (1976) and a Doctorate of Science from Paris VI University (1981). He is currently Research Director at INRIA (National Research Institute in Computer Science and Control Theory), where he leads the Odyssˆme laboratory located in Sophia-Antipolis and Ecole Normale Supˆmrieure, Paris. His research interests include the application of mathematics to computer and biological vision, shape representation and recognition, the use of functional imaging (MR, MEG, EEG) for understanding brain activity and in particular visual perception. He has published extensively in archival Journals, International Conferences, has contributed chapters to many books and is the author of "Artificial 3-D Vision" published in 1993 by MIT Press and, with Quang-Tuan Luong and Thˆmo Papadopoulo, of "The Geometry of Multiple Images" which appeared in March 2001, also at MIT Press. He has co- edited with Nikos Paragios and Yunmei Chen "The Handbook of Mathematical Models in Computer Vision" published in 2005 by Springer.

He was an adjunct Professor from 1996 to 2001 in the Electrical Engineering and Computer Science Department of the Massachusetts Institute of Technology and a member of the AI Lab. He is an Associate Editor of several international scientific Journals including Machine Vision and Applications, Videre, Image and Vision Computing. He has served as Associate Editor for IEEE PAMI from 1987 to 1990 and as co-Editor-in-Chief of the International Journal of Computer Vision from 1991 to 2004.

In April 1989 he received the "Institut de France - Fondation Fiat" award from the French Academy of Sciences for his work in Vision and Robotics. In July 1998 he received the "France Telecom" award from the French Academy of Sciences for his work on Computer Vision and Geometry. In November 1998 he was elected a member of the French Academy of Sciences and was in 2000 one of the founding members of the French Academy of Technology.


Hans Burkhardt

Institute for Computer Science

Hans Burkhardt obtained his Dipl.-Ing. degree in electrical engineering in 1969, Dr.-Ing. degree in 1974, and the Venia Legendi in 1979 from the University of Karlsruhe, Germany. From 1969 he was Research Assistant and in 1975 he became Lecturer at the University of Karlsruhe. During 1980-81 he had a scientific fellowship at the IBM Research Laboratory, San Jose, CA. In 1981 he became Professor for Control and Signal Theory at the University of Karlsruhe. During 1985-1996 he was full Professor at the Technical University of Hamburg and director of an Institute in the Computer Science Department and additionally scientific advisor between 1990 and 1996 for the Microelectronic Application Center (MAZ) in Hamburg. Since 1997 he is full Professor at the Computer Science Department of the University of Freiburg; director of an Institute for Pattern Recognition and Image Processing and currently Deputy Dean of the Faculty for Applied Sciences. Since 2000 he is president of the German Association for Pattern Recognition (DAGM). He is a member of the "Academy of Sciences and Humanities, Heidelberg", of "acatech" (Council of Technical Sciences of the German Academies of Sciences) and a Fellow of the International Association for Pattern Recognition (IAPR). 2003/2004 he was on a sabbatical leave for half a year as a Visiting Researcher at the National ICT (NICTA) at the Australian National University (ANU) in Canberra, Australia.

He has published over 150 papers and given more than 200 lectures. He is a consultant for several national and international institutions e.g. the German Science Foundation (DFG), the European Commission and different international organizations and journals. In 1998 he was chair of the European Conference on Computer Vision (ECCV).

Experience: Invariants in pattern recognition, optimal image restoration methods, motion estimation algorithms, parallel algorithms in image processing and pattern recognition, image analysis and vision guided control of combustion processes.

Contact Information:

Prof. Dr. Hans Burkhardt
Computer Science Department, Albert-Ludwigs-University,
Freiburg Germany Georges-Koehler-Allee 052, 79110 Freiburg i.Br.,
Germany phone: +49-761-203-8260,
fax: +49-761-203-8262


George Djorgovski

Department of Astronomy,
California Institute of Technology

S. George Djorgovski is a Professor of Astronomy and a Co-Director of the Center for Advanced Computing Research (CACR) at Caltech. After receiving his Ph.D. from U. C. Berkeley in 1985, he was a Harvard Junior Fellow before joining the Caltech faculty in 1987. He was a Presidential Young Investigator and an Alfred P. Sloan Foundation Fellow, among other distinctions and honors. Prof. Djorgovski is an author or coauthor of several hundred publications, including over 200 papers in refereed journals. His professional interests span a broad range of subjects in astronomy and cosmology, as well as the interplay of science and computing, especially in the context of analysis and understanding of massive and complex data sets. This included some of the pioneering applications of machine learning tools for processing and analysis of large digital sky surveys. Prof. Djorgovski is one of the co-founders of the Virtual Observatory concept, and he served as the Chairman of the U.S. National Virtual Observatory Science Definition Team, among other related functions.


Alexander Waibel

School of Computer Science,
Carnegie Mellon University and University of Karlsruhe

Alex Waibel is a Professor of Computer Science at Carnegie Mellon University, Pittsburgh and also Professor at the University of Karlsruhe (Germany). He directs InterACT, the international Center for Advanced Communication Technologies at both Universities with research emphasis in speech recognition, language processing, speech translation, multimodal and perceptual user interfaces. At Carnegie Mellon, he also serves as Associate Director of the the Language Technologies Institute and holds joint appointments in the Human Computer Interaction Institute and the Computer Science Department.

Dr. Waibel was one of the founders of C-STAR, the international consortium for speech translation research and served as its chairman from 1998-2000. His team has developed the JANUS speech translation system, the first American and European Speech Translation system, and more recently the first real-time simultaneous speech translation system for lectures. His lab has also developed a number of multimodal systems including perceptual Meeting Rooms, Meeting recognizers, Meeting Browser and multimodal dialog systems for humanoid robots. He currently directs the CHIL program (the largest FP-6 Integrated Project on multimodality) in Europe and the NSF-ITR project STR-DUST (the first domain independent speech translation project) in the US. In the areas of speech, speech translation, and multimodal interfaces Dr. Waibel holds several patents and has founded and co-founded several successful commercial ventures.

Dr. Waibel received the B.S. in Electrical Engineering from the Massachusetts Institute of Technology in 1979, and his M.S. and Ph.D. degrees in Computer Science from Carnegie Mellon University in 1980 and 1986. His work on the Time Delay Neural Networks was awarded the IEEE best paper award in 1990. His contributions to multilingual and speech translation systems was awarded the "Alcatel SEL Research Prize for Technical Communication" in 1994, the "Allen Newell Award for Research Excellence" from CMU in 2002, and the Speech Communication Best Paper Award in 2002.


Prabir Bhattacharya

Concordia Institute for Information Systems Engineering,
Concordia University

Prabir Bhattacharya is currently a full Professor at the Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada where he holds a Canada Research Chair, Tier 1. During 1986-99, he served at the Department of Computer Science and Engineering, University of Nebraska-Lincoln, USA. During 1999-2004 he worked as a Principal Scientist at the Panasonic Information and Networking Technologies Lab in Princeton, New Jersey, USA. He received a D.Phil. from the University of Oxford, UK in 1979 specializing in group theory, and completed his undergraduate studies at the University of Delhi, India. He is a Fellow of the IEEE, the IAPR, and the IMA. He is currently serving as the Associate Editor-in-Chief of the IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics). Also, he is an associate editor of the Pattern Recognition, Pattern Recognition Letters, International Journal of Pattern Recognition and Artificial Intelligence, and Machine Graphics and Vision. He holds two US Patents, 7 Japanese Patents, and has co-authored over 170 publications including 85 journal papers, and also co-edited a book on Vision Geometry.


Virginio Cantoni

Computer and Systems Engineering Department,
University of Pavia

Virginio Cantoni was born in 1948 and received the Laurea (cum laude) in Electronic Engineering in 1972 from Pavia University, Italy.

From 1975 to 1983 he was researcher of the Italian National Research Council. He is presently Full Professor of Computer Programming. He has been for the period 1985-1990 President of the Italian Group of the International Association for Pattern Recognition (IAPR) and for the period 1989-1995 the Director of the Department of Computer and Systems Engineering of Pavia University. He has been Visiting Professor for the Spring Semester of 1987 at Rutgers University, at the Center of Computer Aids for Industrial Productivity (CAIP), New Jersey. Since the academic year 1994/95, he has been Invited Professor for one month per year at the Paris XI University. In July 1995 he has been nominated member of the Conseil d’Orientation Scientifique International of the Pole Universitaire Europeen de Tolouse.

His most recent work is concerned with object recognition and parallel architectures for image processing and computer vision. He has been in the 80’s the coordinator of an Italian National Project involving researchers of a consortium of seven Universities for the design and construction of a pyramidal system for image analysis. Since 1993, he is the coordinator of an Italian National Project on Multimedia Systems involving several universities.

He is author or co-author of more than 130 Journal or Conference papers and book chapters and the editor or co-editor of 13 books and co-author of a book on ‘Pyramidal Architectures for Computer Vision’. He organized a number of International Conferences and a NATO Advanced Research Workshop (as co-Director) on subjects related to image processing and computer vision.

He is Fellow of the IAPR (International Association for Pattern Recognition) since 1994 and Fellow of IEEE (Institute of Electrical and Electronic Engineers) since 1997.


Josef Kittler

School of Electronics and Physical Sciences,
University of Surrey

Josef Kittler has been a Research Assistant in the Engineering Department of Cambridge University (1973--75), SERC Research Fellow at the University of Southampton (1975-77), Royal Society European Research Fellow, Ecole Nationale Superieure des Telecommuninations, Paris (1977--78), IBM Research Fellow, Balliol College, Oxford (1978--80), Principal Research Associate, SERC Rutherford Appleton Laboratory (1980--84) and Principal Scientific Officer, SERC Rutherford Appleton Laboratory (1985).

He also worked as the SERC Coordinator for Pattern Analysis (1982), and was Rutherford Research Fellow in Oxford University, Dept. Engineering Science (1985).

He joined the Department of Electrical Engineering of Surrey University in 1986 as a Reader in Information Technology, and became Professor of Machine Intelligence in 1991.

He is the Course Organiser for the MSc Course in Signal Processing and Machine Intelligence. He teaches Machine Intelligence, and Pattern Recognition.

He has worked on various theoretical aspects of Pattern Recognition and Machine Vision. He gained experience in many applications including Automatic Inspection, Remote Sensing, Robotics, Speech recognition, Character Recognition and Document Processing.

His current research interests include Pattern Recognition, Neural Networks, Image Processing and Computer Vision.

He has co-authored a book with the title 'Pattern Recognition: a statistical approach' published by Prentice-Hall. He has published more than 200 papers.

He is a member of the Editorial Boards of IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition Journal, Image and Vision Computing, Pattern Recognition Letters, Pattern Recognition and Artificial Intelligence.

He served on the Committee of the British Machine Vision Association (formerly known as the Brittish Pattern Recognition Association) since it was founded in 1976. He held the post of the BPRA Secretary for four years.

Since 1982 he has served on the Governing Board of the International Association for Pattern Recognition (IAPR) as one of the two British representatives. Currently he is the President of the IAPR.


Alex Pentland

MIT Media Lab,
Massachusetts Institute of Technology

Prof. Alex (Sandy) Pentland is a pioneer in wearable computers, health systems, smart environments, and technology for developing countries. He is one of the most-cited computer scientists in the world.

He is a co-founder of the Wearable Computing research community, the Autonomous Mental Development research community, the Center for Future Health, and was the founding director of the Media Lab Asia. He was formerly the Academic Head of the MIT Media Laboratory, and is MIT’s Toshiba Professor of Media Arts and Sciences, and Director of Human Dynamics Research.

He has won numerous international awards in the Arts, Sciences and Engineering. He was chosen by Newsweek as one of the 100 Americans most likely to shape the next century.


Bernhard Schölkopf

Department of Empirical Inference, Max Planck Institute for Biological Cybernetics,

Bernhard Schölkopf was born in Stuttgart on 20 February, 1968. He received an M.Sc. in mathematics and the Lionel Cooper Memorial Prize from the University of London in 1992, followed in 1994 by the Diplom in physics from the Eberhard-Karls-Universität, Tübingen. Three years later, he obtained a doctorate in computer science from the Technical University Berlin. His thesis on Support Vector Learning won the annual dissertation prize of the German Association for Computer Science (GI). In 1998, he won the prize for the best scientific project at the German National Research Center for Computer Science (GMD). He has researched at AT&T Bell Labs, at GMD FIRST, Berlin, at the Australian National University, Canberra, and at Microsoft Research Cambridge (UK). He has taught at Humboldt University, Technical University Berlin, and Eberhard-Karls-University Tübingen. In July 2001, he was appointed scientific member of the Max Planck Society and director at the MPI for Biological Cybernetics; in October 2002, he was appointed Honorarprofessor for Machine Learning at the Technical University Berlin. He has been program chair of COLT and NIPS and serves on the editorial boards of JMLR, IEEE PAMI, and IJCV.