Professional biography of Tamás ROSKA
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 since 15 years he has been the 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, at the University of California at Berkeley, and very recently at the Pázmány P Catholic University in Budapest. He is teaching 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.
Dr. Roska is presently a Dean of the Faculty of Information Technology at the Pázmány P. Catholic University, Budapest.
His main research areas are: cellular neural networks, nonlinear circuit and systems, neural circuits, visual computing and analogic spatial-temporal supercomputing. He has published more than 200 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 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, 2000), the IEEE Transactions on Circuits and Systems (1993 and 1999), and the Journal of VLSI Signal Processing Systems (1999). He is a member of the Editorial Board of the International Journal of Circuit Theory and Applications.
He is a member of the Technical Committee on Multimedia and the Technical Committee on Neural Networks of the IEEE.
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.