KeyNote Speeches
I. "Structural Subband Decomposition: A New Concept in Digital Signal Processing"
Professor Sanjit K. Mitra, Ph.D.
Department of Electrical and Computer Engineering
University of California, Santa Barbara, USA
http://engineering.ucsb.edu/faculty/profile/309
Department of Electrical Engineering-Systems
University of Southern California, Los Angeles, USA
http://ee.usc.edu/faculty_staff/faculty_directory/smitra.htm
Research Interests:
Digital signal, image and video processing, data compression, image and video enhancement, image analysis, mixed analog-digital signal processing
Biographical Information:
Ph.D. in Electrical Engineering, 1962, University of California, Berkeley, CA.
Dr. Mitra received the B.Sc. (Hons.) degree in Physics from the Utkal University, India in 1953, M.Sc. (Tech.) degree in Radio Physics & Electronics from the University of Calcutta, India in 1958, and his M.S. and Ph.D. degrees in Electrical Engineering from the University of California, Berkeley, California in 1960 and 1962, respectively. He joined the Department of Electrical Engineering-Systems as the Stephen and Etta Varra Professor in July 2006. He has published over 640 papers in the areas of analog and digital signal processing, and image processing. He has also authored and co-authored twelve books, and holds five patents.
Dr. Mitra has served IEEE in various capacities including service as the President of the IEEE Circuits & Systems Society in 1986, and has held visiting appointments in Australia, Austria, Finland, Germany, India, Japan, Norway, Singapore and the United Kingdom. Dr. Mitra is the recipient of the 1973 F.E. Terman Award and the 1985 AT&T Foundation Award of the American Society of Engineering Education, the 1989 Education Award, the 2000 Mac Van Valkenburg Society Award and the Golden Jubilee Medal of the IEEE Circuits & Systems Society, the Distinguished Senior U.S. Scientist Award from the Alexander von Humboldt Foundation of Germany in 1989, the 1996 Technical Achievement Award, the 2001 Society Award and the 2006 Education Award of the IEEE Signal Processing Society, the IEEE Millennium Medal in 2000, the McGraw-Hill/Jacob Millman Award of the IEEE Education Society in 2001, the 2002 Technical Achievement Award of the European Association for Signal Processing (EURASIP), the 2005 SPIE Technology Achievement Award of the International Society for Optical Engineers, the University Medal of the Slovak Technical University, Bratislava, Slovakia in 2005, and the 2006 James H. Mulligan, Jr. Education Medal of the IEEE. He is the co-recipient of the 2000 Blumlein-Browne-Willans Premium of the Institution of Electrical Engineers (London) and the 2001 IEEE Transactions on Circuits & Systems for Video Technology Best Paper Award. He has received Honorary Doctorate degrees from the Tampere University of Technology, Finland, the Technical University of Bucharest, Romania, and the Technical University of Iasi, Romania. He is an Honorary Professor of the Northern Jiaotong University, Beijing, China and the Technical University of Cluj-Napoca, Romania. He was appointed an Honorary Citizen of Cluj-Napoca, Romania in 2007. He is a member of the U.S. National Academy of Engineering, the Norwegian Academy of Technological Sciences, an Academician of the Academy of Finland, a foreign member of the Croatian Academy of Sciences and Arts, a foreign member of the Academy of Engineering, Mexico, a foreign fellow of the Indian National Academy of Engineering and a foreign fellow of the National Academy of Sciences, India. Dr. Mitra is a Fellow of the IEEE, AAAS, and SPIE, and a member of EURASIP.
II. Divergence, Signal Separation and Information Geometry
Professor Shun-ichi Amari, Ph.D.
Mathematical Neuroscience Laboratory
RIKEN Brain Science Institute, JAPAN
http://www.brain.riken.go.jp/labs/mns/amari/home-E.html
Abstract:
Divergence measures between two probability distributions or more generally two signals play a fundamental role in designing algorithms of signal processing and adaptation. We first elucidate geometrical and invariant structures of divergence measures such as Kullback-Leibler and Bregman divergences. They are useful for designing algorithms in vision analysis, signal processing and optimization. Algorithms and frameworks of signal separation will be surveyed from the geometrical point of view.
Personal:
Prof. Shun-ichi AMARI, after completing his professorship at The University of Tokyo, moved to The Institute of Physical and Chemical Research - RIKEN where he holds the position of vice-president of Brain Science Institute, director of Brain Style Information Systems Group and team leader of Mathematical Neuroscience Laboratory. He also serves on boards of numerous scientific journals and committees.
Academic qualifications:
1958 B.Eng. University of Tokyo, majoring in Mathematical Engineering
1963 Ph.D. University of Tokyo, Mathematical Engineering
Professional qualifications:
Fellow of IEEE
Professor Emeritus at the University of Tokyo
Social Activities:
Presidnet of the International Neural Network Society (1996)
Council Member of the Bernoulli Society of Mathematical Statistics and Probability Theorem (1995-1999)
Vice President of the Institute of Electronics, Information and Communication Engineers, Japan (1995-1997)
and many others
Awards:
1964 Inada Award from Inst. Elect. Comm. Eng. Japan
1965,1987 Best Paper Awards fromInst. Elec. Comm. Eng. Japan
1987 Yonezawa Special Award, IEICE
1987 Kodansha Best Scientific Publication Award for "Biocomputer", Iwanami (1986)
1990 Academic Research Award, International Foundation for Artificial Intelligence
1992 IEEE Neural Networks Pioneer Award
1993 Neurocomputing Best Paper Award
1993 Best Paper Award (Japanese Neural Network Society)
1993 Best Research Achievement Award (Japanese Neural Network Society)
1994 INNS Neural Networks Leadership Award
1995 Japan Academy Award
1997 IEEE Emanuel R. Piore Award
