Home(English)

Kota Matsui (Doctor of Information Science)

Lecturer

Department of Biostatistics, Nagoya University Graduate School of Medicine

65 Tsurumai-cho, Showa-ku, Nagoya, Aichi, Japan. Postal Code:466-8550

E-mail:matsui.kota.x3 (at) f.mail.nagoya-u.ac.jp

Affiliated Academic Society:

    The Biometric Society of Japan

Concurrently held post:

    Invited researcher at KDDI Research

-----

Research Interests

-----

short CV

2009.4 - 2011.3 Master course student at Graduate School of Humanities and Social Sciences, 

                           Nagoya City University.

                           Master of Humanities and Social Sciences, Nagoya City University. 

                           Master Thesis:

                           "Fuzzy Approaches for Multiobjective Stochastic and Multiobjective Fuzzy Random Linear 

                                Programming Problems"

                           Advisor:Professor Hitoshi Yano

2011.4 -2014.3  Ph.D. student at Department of Computer Science and Mathematical Informatics, Graduate School of Information Science, Nagoya University. 

                           Advisor : Associate Professor Takafumi Kanamori

2014.4 -2015.3  Designated Researcher of Nagoya Institute of Technology and JST-CREST

2015.4 -2019.5  Designated Research Associate of Nagoya University and JST-CREST

2017.3                Ph.D. (Information Science), Nagoya University. 

                           Ph.D. Thesis : 

                           "Optimization Methods for Decision Making under Uncertainty"

                           Advisor : Professor Takafumi Kanamori 

2018.6-2020.3   Postdoctoral Researcher of RIKEN AIP Data Driven Biomedical Science Team.

2020.4-              Lecturer of Nagoya University Graduate School of Medicine

-----

Activity on Academic Society

ACML2018 program committee

ITNG2019  program committee

ACML2019 local arrangements co-chair, program committee, workshop organizer

ITNG2020 program committee

IJCAI2020 program committee (Reviewer)

ICML2020 program committee (Reviewer) Top 33% Reviewer

ICLR2021 Reviewer

ICML2021 Reviewer