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Last update: 2021/4/28

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 Board

Research

Keywords: Statistical science, Data science, Sparse learning, Statistical machine learning, Bioinformatics, Multivariate analysis, Regression analysis, Discriminant analysis, Causal inference, Regularization, Model selection, Information criteria, Principal component analysis, Factor analysis, Propensity score analysis, Structural equation model