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Last update: 2019/12/02

SHUICHI KAWANO Ph.D.

Associate Professor

Department of Computer and Network Engineering, Graduate School of Informatics and Engineering, The University of Electro-Communications, Japan

Email:skawano atmark ai.lab.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 Engineering, Graduate 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