Last update: 2017/07/04
SHUICHI KAWANO Ph.D.


Associate Professor
Department of Computer and Network EngineeringGraduate School of Informatics and Engineering,
The University of Electro-Communications, Japan

Email:skawano atmark uec.ac.jp
Phone:+81-42-443-5620
Fax:+81-42-443-5622

Academic Record

Apr., 2001 -- Mar., 2005
Department of Mathematics, Faculty of Science, Kyushu University, Japan
Degree: Bachelor of Science

Apr., 2005 -- Mar., 2007
Graduate School of Mathematics, Kyushu University, Japan
Degree: Master of Mathematics

Apr., 2007 -- Mar., 2010
Graduate School of Mathematics, Kyushu University, Japan
Degree: Doctor of Functional Mathematics

Professional Record

Apr., 2009 -- Mar., 2010
Research Fellow of the Japan Society of the Promotion of Science for Young Scientists (DC2)

Apr., 2010 -- Mar., 2011
Post Doctoral Fellow
Research Fellow of the Japan Society of the Promotion of Science for Young Scientists (PD)
Laboratory of DNA Information Analysis, Human Genome Center,
Institute of Medical Science, The University of Tokyo, Japan

Apr., 2011 -- Mar., 2012
Assistant Professor
Department of Mathematical Sciences, Graduate School of Engineering,
Osaka Prefecture University, Japan

Apr., 2012 -- 
Sep., 2014
Lecturer
Department of Mathematical Sciences, Graduate School of Engineering,
Osaka Prefecture University, Japan

Oct., 2014 -- Mar., 2016
Associate Professor
Department of Social Intelligence and Informatics, Graduate School of Information Systems,
The University of Electro-Communications, Japan

Apr., 2016 -- Present
Associate Professor
Department of Computer and Network EngineeringGraduate School of Informatics and Engineering,
The University of Electro-Communications, Japan

Editorial Borad
Research

Keywords:
Statistical science, Data science, 
Sparse learning, Statistical Machine learning, Bioinformatics, Multivariate analysis, Regression analysis, Discriminant analysis, Regularization, Model selection, Information criteria, Principal component analysis, Factor analysis, Functional data analysis, Semi-supervised learning, Structural equation model