Professor Kazuyuki AIHARA

Faculty Staff Information

Kazuyuki AIHARA
合原 一幸

Institute of Industrial Science, The University of Tokyo
Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo

Room Ce-601, Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan.
Phone: +(81)-3-5452-6691 (Extension: 56691)
Fax: +(81)-3-5452-6692 (Extension: 56692)

Room 353, Faculty of Engineering Bldg.6, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan.
Phone: +(81)-3-5841-6910 (Extension: 26910)
Fax: +(81)-3-5841-8594


Research Topics

Mathematical Modeling for Complex Systems, Chaotic and Optoelectronic Neural Networks, Mathematics of Artificial Intelligence


Laboratories for Mathematics, Lifesciences, and Informatics

Laboratories for Mathematics, Lifesciences, and Informatics (Institute of Industrial Science, IRCN) Group website→
河野 崇 Takeshi  KOHNO Professor 小林 徹也 Tetsuya J. KOBAYASHI Professor
Kantaro Fujiwara Kantaro FUJIWARA Project Associate Professor
Research Topics
Mathematical Analysis of Complex Systems
In order to comprehend diverse complex systems ranging over biology, brain science, and socio-economics, we are developing new mathematical techniques based on, e.g., bifurcation theory, time-series analysis, and statistics, and trying to construct universal theoretical frameworks for complex systems.

Understanding Information processing of biological systems
In order to unveil the design principle of biological systems and their information processing, we are working on theoretical biology and bioinformatics for different types of biological phenomena and data, which cover neuroscience, cell biology, developmental biology, immunology, physiology, epidemics, bioimaging, and next-generation sequencing. Additionally, we are employing our mathematical models of brain and neural networks for engineering new neuromorphic hardware.

Chaos engineering
We are developing new information processing systems taking full advantage of the diverse dynamical behaviors that chaos and complex systems generate. Those systems are applied to the implementation of nonlinear analog circuits, constructing an artificial brain, and other engineering problems.