Masatoshi Ishikawa

Masatoshi Ishikawa
石川 正俊

Professor
Department of Creative Informatics and Department of Information Physics and Computing
Graduate School of Information Science and Technology, University of Tokyo

Room No.251, Bldg. No.6
Hongo 7-3-1, Bunkyo-ku, Tokyo 113-8656, JAPAN
TEL : +81-3-5841-8602 FAX : +81-3-5841-8604
E-Mail:Masatoshi_Ishikawa@ipc.i.u-tokyo.ac.jp
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CV

2016.4 Dean, Graduate School of Information Science and Technology, the University of Tokyo 
2005.4 Professor, Department of Creative Informatics, Graduate School of Information Science and Technology, the University of Tokyo 
– Executive Vice-President, the University of Tokyo (until March 2006)
2004.4 Vice-President, the University of Tokyo (until March 2005)
2002.4 Executive Advisor to the President, the University of Tokyo (until March 2004)
2001.4 Professor, Department of Information Physics and Computing, Graduate School of Information Science and Technology, the University of Tokyo 
1999.4 Professor, Department of Mathematical Engineering and Information Physics, Graduate School of Engineering, the University of Tokyo 
1995.4 Associate Professor, Department of Mathematical Engineering and Information Physics, Graduate School of Engineering, the University of Tokyo 
1989.6 Associate Professor, Department of Mathematical Engineering and Information Physics, Faculty of Engineering, the University of Tokyo 
1987.4 Senior Researcher, Industrial Products Research Institute, Agency of Industrial Science and Technology 
1979.4 Researcher, Industrial Products Research Institute, Agency of Industrial Science and Technology 
1988.2 Dr. of Engineering, the University of Tokyo

Research overview

We are going on many projects related on integration of recognition and behavior using recent developing technologies such as semiconductor integration, optics in computing, and parallel processing. In other words, we are trying to realize human sensory processing functionalities including sensory integration, brain function for information processing using hierarchical parallel processing, and intelligent behavior on artificial systems at the level of human or higher.

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