Kota Matsui, Ph.D.
Associate Professor
Department of Biostatistics, School of Public Health, Graduate School of Medicine, Kyoto University
〒606-8501 Yoshida-honmachi, Sakyo-ku, Kyoto-shi, Kyoto, JAPAN
E-mail : matsui.kota.8k (at) kyoto-u.ac.jp
Affiliated Academic Society：
The Biometric Society of Japan
Concurrently held post：
Specially Appointed Associate Professor, Data Science and AI Innovation Research Promotion Center, Shiga University
Specially Appointed Research Fellow, Institute of Science Tokyo
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Research Interests：
Machine learning (active learning / transfer learning)
Optimization algorithm
Biostatistics
Decision making under uncertainty
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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, Nagoya Institute of Technology and JST-CREST
2015.4 -2019.5 Designated Research Associate, 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, RIKEN AIP Data Driven Biomedical Science Team.
2020.4-2025.3 Lecturer, Nagoya University Graduate School of Medicine
2025.4- Associate Professor, Kyoto University
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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