Masatoshi Ishikawa

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
[Homepage]

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.

Profile

Yoshito Hirata

Department of Mathematical Informatics, Graduate School of Information Science and Technology, University of Tokyo
Associate Professor

7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656
Eng. 6 Bldg. Room 436
Tel: +81-3-5841-0698
Fax:

E-mail： hirata@mist.i.u-tokyo.ac.jp

[Home Page]

Curriculum Vitae

Research Themes

I am investigating theory and applications of nonlinear time series analysis, which is time series analysis
based on dynamical systems theory.

Especially, I want to grasp new needs for analyzing real datasets, develop new methods for nonlinear
time series analysis for such purposes, and apply the methods to solve the real world problems by
understanding, predicting and/or controlling the underlying dynamics.

Selected papers

Y. Hirata, T. Stemler, D. Eroglu, and N. Marwan, Prediction of flow dynamics using point processes, Chaos 28, 011101 (2018).

Y. Hirata, A. Oda, K. Ohta, and K. Aihara, Three-dimensional reconstruction of single-cell chromosome structure using recurrence plots, Scientific Reports 6, 34982 (2016).

Y. Hirata, N. Bruchovsky, and K. Aihara, Development of a mathematical model that predicts the outcome of hormone therapy for prostate cancer, Journal of Theoretical Biology 264, 517-527 (2010).

Y. Hirata, K. Judd, and D. Kilminster, Estimating a generating partition from observed time series: Symbolic shadowing, Physical Review E 70, 016215 (2004).

Faculty Staff Information

Tetsuya J. KOBAYASHI

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

Room Ce-501, Institute of Industrial Science, The University of Tokyo, 4-6-1, Komaba, Meguro-ku, Tokyo 153-8505, Japan.
Phone: +(81)-3-5452-6798 (Extension: 56798)
Fax: +(81)-3-5452-6798

E-mail：tetsuya＠sat.t.u-tokyo.ac.jp

[Website]

Research topics

Systems biology, Quantitative biology, Bioinformatics

Relevant Publications

・Hideki Ukai, Tetsuya J. Kobayashi, Mamoru Nagano, Koh-hei Masumoto, Mitsugu Sujino, Takao Kondo, Kazuhiro Yagita, Yasufumi Shigeyoshi and Hiroki R. Ueda:Melanopsin-dependent photo-perturbation reveals desynchronizationunderlying the singularity of mammalian circadian clocks, Nature CellBiology, Vol. 9, No.11, pp. 1327-1334, October 2007.

・Tetsuya J. Kobayashi: Implementation of Dynamic Bayesian Decision Making by Intracellular Kinetics, Physical Review Letters, Vol.104, p.0228104, June 2010.

・Tetsuya J. Kobayashi & Yuki Sughiyama: Fluctuation Relations of Fitness and Information in Population Dynamics, Physical Review Letters, Vol. 115, pp. 238102, December 2015.

Faculty Staff Information

Takashi KOHNO

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

Room Ee-512, Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan.
Phone: +(81)-3-5452-6900 (Extension: 56900)
Fax: +(81)-3-5452-6901

E-mail：kohno＠sat.t.u-tokyo.ac.jp

[Website]

Research topics

Neuromorphic systems, Neuronal system modeling

Relevant Publications

Takashi Kohno and Kazuyuki Aihara:
Mathematical-model-based design method of silicon burst neurons, Neurocomputing, in press.

Takashi Takemoto, Takashi Kohno, and Kazuyuki Aihara:
MOSFET Implementation of Class I* Neurons Coupled by Gap Junctions, Journal of Artificial Life and Robotics, Vol. 10, No. 1, pp. 1-5, July 2006.

Takashi Kohno and Kazuyuki Aihara:
A MOSFET-based model of a Class 2 Nerve membrane, IEEE Transactions on Neural Networks, Vol. 16, No. 3, pp. 754-773, May 2005.

Faculty Staff Information

Kazuyuki AIHARA

Professor
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

E-mail：aihara＠sat.t.u-tokyo.ac.jp

[Website]

Research Topics

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

Profile

Takayasu Matsuo（松尾　宇泰）

Department of Mathematical Informatics, Graduate School of Information Science and Technology, University of Tokyo
Professor

7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656
Eng. 6 Bldg. Room 347
Tel: +81-3-5841-6911, ext. 26911
Fax:

E-mail：matsuo＠mist.i.u-tokyo.ac.jp

[Home Page]

Curriculum Vitae

Research Themes

Numerical Analysis，in particular, “good” numerical methods for solving differential equations.

There are many differential equations that have important physical properties such as conservation or dissipation.
A “good” numerical method for such a equation
refers to a numerical method that retain the conservation/dissipation properties in a discrete sense.
Such a method is called a structure-preserving numerical method.
Compared with a versatile numerical method,
the structure-preserving method not only provides a qualitatively correct result but also achieves numerical stability.
Currently, I’m engaged mainly in the study of high-order (highly accurate) methods for conservative/dissipative systems.

Selected Publications

Takayasu Matsuo and Daisuke Furihata,
Dissipative or Conservative Finite-Difference Schemes for Complex-Valued Nonlinear Partial Differential Equations,
J. Comput. Phys., 171 (2001), 425-447.

Takayasu Matsuo, Masaaki Sugihara, Daisuke Furihata, and Masatake Mori,
Spatially Accurate Dissipative or Conservative Finite Difference Schemes Derived by the Discrete Variational Method,
Japan J. Indust. Appl. Math., 19 (2002), 311–330.

Takayasu Matsuo,
High-order Schemes for Conservative or Dissipative Systems,
J. Comput. Appl. Math., 152 (2003), 305–317.

Profile

Kengo Nakajima （中島　研吾）

Supercomputing Division, Information Technology Center, University of Tokyo
(concurrent post) Department of Mathematical Informatics, Graduate School of Information Science and Technology
Professor

2-11-16, Yayoi, Bunkyo-ku, Tokyo, 113-8658

Information technology center, Annex 3F, Project room 2
Tel: +81-3-5841-2719, ext. 22719
Fax: +81-3-5841-2708

E-mail：nakajima＠cc.u-tokyo.ac.jp

[Home Page]

Curriculum Vitae

Research Themes

Large scale simulation and its foundation.
I aim to develop new algorithms through solution of practical problems in science and engineering.

1. Parallel numerical computation, parallel algorithms
2. Numerical linear algebra, parallel preconditioning
3. Computational dynamics, forms processing, visualization

Selected Publications

Nakajima, K., Parallel Iterative Solvers of GeoFEM with Selective Blocking Preconditioning for Nonlinear Contact Problems on the Earth Simulator, ACM/IEEE Proceedings of SC2003, 2003

Nakajima, K., Parallel iterative solvers for finite-element methods using an OpenMP/MPI hybrid programming model on the Earth Simulator, Parallel Computing 31, 1048-1065, 2005

Nakajima, K., Strategies for Preconditioning Methods of Parallel Iterative Solvers in Finite-Element Applications on Geophysics, Advances in Geocomputing, Lecture Notes in Earth Science 119, 65-118, 2009

奥田洋司，中島研吾編著，並列有限要素解析〔I〕，培風館，2004 (in Japanese)