|
Sun-Yuan Kung |
|
Tamás Roska |
|
David Fogel |
|
Brian Ferguson |
| Professor Sun-Yuan Kung |
| Homepage |
| Email: kung@ee.princeton.edu |
| Abstract of talk |
Sun-Yuan Kung received his Ph.D. Degree in Electrical Engineering from Stanford University. In 1974, he was an Associate Engineer of Amdahl Corporation, Sunnyvale, CA. From 1977 to 1987, he was a Professor of Electrical Engineering-Systems of the University of Southern California. Since 1987, he has been a Professor of Electrical Engineering at the Princeton University. Since 1990, he has served as an Editor-In-Chief of Journal of VLSI Signal Processing Systems. Dr. Kung is a Fellow of IEEE. He was the recipient of 1992 IEEE Signal Processing Society's Technical Achievement Award for his contributions on "parallel processing and neural network algorithms for signal processing". He was appointed as an IEEE-SP Distinguished Lecturer in 1994. He received 1996 IEEE Signal Processing Society's Best Paper Award. He was a recipient of the IEEE Third Millennium Medal in 2000. He has authored more than 300 technical publications, including three books "VLSI Array Processors", (Prentice Hall, 1988) (with Russian and Chinese translations), "Digital Neural Networks", Prentice Hall, 1993, and "Principal Component Neural Networks'', John Wiley, 1996.
| Professor Tamás Roska |
| Homepage |
| Email: roska@lutra.sztaki.hu
|
| Abstract of talk |
Tamás Roska received the Diploma in electrical engineering from the Technical University of Budapest in 1964 and the Ph.D. and D.Sc. degrees in Hungary in 1973 and 1982, respectively.
Since 1964 he has held various research positions. During 1964-1970 he was with the Measuring Instrument Research Institute, Budapest, between 1970 and 1982 with the Research Institute for Telecommunication, Budapest (serving also as the head of department for Circuits, Systems and Computers) and since 1982 he is with the Computer and Automation Institute of the Hungarian Academy of Sciences where he is head of the Analogic and Neural Computing Research Laboratory. Professor Roska has taught several courses at various universities, presently, at the Technical University of Budapest, he is teaching a graduate courses on "Emergent Computations" and "Cellular Neural Networks". In 1974, and since 1989 in each year, he has been Visiting Scholar at the Department of Electrical Engineering and Computer Sciences and the Electronics Research Laboratory, and recently a Visiting Research Professor at the Vision Research Laboratory of the University of California at Berkeley.
His main research areas are: cellular neural networks, nonlinear circuit and systems, neural circuits and analogic spatiotemporal supercomputing. He has published more than 100 research papers and four books (partly as a co-author), and held several guest seminars at various universities and research institutions in Europe, USA, and Japan.
Dr. Roska is a co-inventor of the CNN Universal Machine (with L.O.Chua), a US Patent of the University of California with worldwide protection and the analogic CNN Bionic Eye (with F.Werblin and L.O.Chua), another US patent of the University of California. He has contributed also to the development of the various physical implementations of these inventions making this Cellular Analogic Supercomputer a reality.
Professor Roska is a member of several Hungarian and international Scientific Societies. Since 1975 he has been a member of the Technical Committee on Nonlinear Circuits and Systems of the IEEE Circuits and Systems Society. Between 1987-89 he was the founding Secretary and later he served as Chairman of the Hungary Section of the IEEE. Recently, he has served twice as Associate Editor of the IEEE Transactions on Circuits and Systems, Guest Co-Editor of special issues on Cellular Neural Networks of the International Journal of Circuit Theory and Applications (1992, 1996, 1998/99) and the IEEE Transactions on Circuits and Systems (1998,). He is a member of the Editorial Board of the International Journal of Circuit Theory and Applications.
Dr. Roska received the IEEE fellow award for contributions to the qualitative theory of nonlinear circuits and the theory and design of programmable cellular neural networks. In 1993 he was elected to be a member of the Academia Europaea (European Academy of Sciences, London) and the Hungarian Academy of Sciences. For technical innovations he received the D.Gabor Award, for establishing a new curriculum in information technology and for his scientific achievement he was awarded the A. Szentgyörgyi Award and the Széchenyi Award, respectively. In 1994, Dr. Roska became the elected active member of the Academia Scientiarium et Artium Europaea (Salzburg).
In 1998 he has established and became the first Chair of the Technical Committee on Cellular Neural Networks and Array Computing of the IEEE Circuits and Systems Society. In 2000 he received the IEEE Millenium Medal and the Golden Jubilee Award of the IEEE Circuits and Systems Society.
| Dr. David Fogel |
| Homepage |
| Email: dfogel@natural-selection.com |
| Abstract of talk |
Dr. David B. Fogel is Executive Vice President and Chief Scientist of
Natural Selection, Inc. in La Jolla, CA, USA. He received the Ph.D.
degree in engineering sciences (systems science) from UC San Diego
in 1992. Dr. Fogel is the author of over 200 contributions to the
literature on evolutionary computation and neural networks, including
five books, most recently, Evolutionary Computation: Principles and
Practice for Signal Processing (SPIE Press, 2000) and How to Solve
It: Modern Heuristics (co-authored with Z. Michalewicz, Springer,
2000). He is the founding editor-in-chief of the IEEE Transactions on
Evolutionary Computation and a Fellow of the IEEE.
| Dr. Brian Ferguson |
| Homepage |
| Email: Brian.Ferguson@dsto.defence.gov.au |
| Abstract of talk |
Between 1972 and 1983, Brian Ferguson received the B.Sc.(Honours), Diploma of Education, Master of Science (by thesis) and Ph.D. degrees from the Universities of Sydney and New South Wales.
From 1974 to 1984, the Australian Department of Science and Technology employed him as a Physicist, where his research activities were in the fields of solar radio astronomy and ionospheric physics. In 1984, he joined the Submarine Sonar Group of the Royal Australian Navy Research Laboratory, which was incorporated into Australia’s Defence Science and Technology Organisation in 1988. He is currently employed as a Principal Research Scientist, where he leads a group involved in the research and development of advanced mine hunting sonar systems and multi-function land-based acoustic surveillance systems. His work has been published widely in international scientific and engineering journals.
Dr. Ferguson is Fellow of the Acoustical Society of America, a Senior Member of the Australian Institution for Radio and Electronics Engineers, and a Member of the Australian Institution of Engineers and the Institute of Electrical and Electronics Engineers.
