教員紹介

Yoshihiro Kanno

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 435
Tel: +81-3-5841-6913 (ext. 26913)
Fax:+81-3-5841-6886

E-mail： kanno＠mist.i.u-tokyo.ac.jp

Education and Employment

March 1998	B. Eng., Kyoto University
March 2000	M. Eng., Kyoto University
September 2002	Dr. Eng., Kyoto University
March 2004	Assistant Professor, Department of Urban and Environmental Engineering, Kyoto University
May 2006	Assistant Professor, Department of Mathematical Informatics, The University of Tokyo
September 2008	Associate Professor, Department of Mathematical Informatics, The University of Tokyo
April 2015	Associate Professor, Materials and Structures Laboratory, Tokyo Institute of Technology
April 2016	Associate Professor, Laboratory for Future Interdisciplinary Research of Science and Technology, Tokyo Institute of Technology
October 2017	Professor, Mathematics and Informatics Center, The University of Tokyo

Modeling and algorithms of mathematical optimization and their applications to applied mechanics and structural design

Continuous optimization and applied mechanics: convex optimization, complementarity, duality and their applications to structural optimization, contact mechanics, plasticity, etc.
Robust optimization and its applications: Optimization with uncertain data, robust optimization of structures, robustness evaluation of uncertain systems, etc.

Y. Kanno, “A fast first-order optimization approach to elastoplastic analysis of skeletal structures,” Optimization and Engineering, 17, 861–896 (2016).
Y. Kanno, “Nonsmooth Mechanics and Convex Optimization,” CRC Press, Boca Raton (2011).
Y. Kanno, J. A. C. Martins, A. Pinto da Costa, “Three-dimensional quasi-static frictional contact by using second-order cone linear complementarity problem,” International Journal for Numerical Methods in Engineering, 65, 62–83 (2006).

Mathematical Programming Laboratory（Mathematical Informatics 5th Laboratory）
– Resolve “troubles” of the world –

Akiko　Takeda
Professor

Kazuhiro Sato
Lecturer

Operations Research（OR）: It is a scientific technique that builds mathematical models and finds their solutions by using computers for solving real problems. In particular, we focus on modeling as a mathematical optimization problem and developing algorithms to solve the problem. The scope of application of OR is diverse and we are conducting research to solve real-world problems in the fields of structure design, energy system, financial engineering, machine learning.
Efficient algorithms for continuous optimization and thier applications to real-world problems: Problems in real world often result in large scale, nonlinear, nonconvex continuous optimization problem. Also, in a situation where robustness against uncertainty (variation) of data is required, a model called a robust optimization problem may be useful. We aim to efficiently solve such optimization problems and contribute to real world problem solving.