Kazuhiro Sato
Profile
Kazuhiro SATO
Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo
Associate Professor
Room 434, 731 6 Hongo, Bunkyoku, Tokyo 1138656
Tel: +810358416934
Email：kazuhiro@mist.i.utokyo.ac.jp
Biography
March 2009  Bachelor of Engineering from Undergraduate School of Informatics and Mathematical Science, Kyoto University 

March 2011  Master of Informatics from Department of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University 
March 2013  Ph. D. in Informatics from Department of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University 
April 2014  Project Researcher, Graduate School of Informatics, Kyoto University 
April 2017  Specially Appointed Assistant Professor, Kitami Institute of Technology 
April 2018  Assistant Professor, Kitami Institute of Technology 
October 2019  Lecturer, Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo 
December 2023  Associate Professor, Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo 
Research Topics
I am especially interested in solving control systems problems using methods of different fields such as optimization and machine learning. The following three topics are main research subjects.
 Applications of optimization theory to control systems theory: We study what control systems problems can be solved using Riemannian optimization, proximal algorithm, submodular optimization, and so on.
 Applications of control systems theory to optimization theory: We study what optimization problems can be efficiently solved using control systems theories such as hybrid systems, passivity, and so on.
 Datadriven modeling for controlling systems: We study efficient modeling methods for controlling systems from time series data using optimization, machine learning, numerical analysis, and so on.
Selected Publications

 K. Sato:Riemannian optimal model reduction of linear portHamiltonian systems, Automatica, Vol. 98, pp. 428–434, 2018.
 K. Sato and H. Sato: Structure preserving H^2 optimal model reduction based on Riemannian trustregion method, IEEE Transactions on Automatic Control, Vol. 63, No. 2, pp. 505511, 2018.
 K. Sato: Riemannian optimal control and model matching of linear portHamiltonian systems, IEEE Transactions on Automatic Control, Vol. 62, No. 12, pp. 65756581, 2017.