Personnel Information

写真a

SHIMIZU Shohei


Title

Professor

Field

Field of Data Science

Homepage URL

https://www.shimizulab.org

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Research Interests 【 display / non-display 】

  • GPGPU

  • LiNGAM

  • NMAR

  • Causal Discovery

  • Causal Discovery

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Graduating School 【 display / non-display 】

  • Osaka University， Graduate School, Division of Engineering Science

    University， 2006.03， Graduated

  • Osaka University， Graduate School, Division of Human Science

    University， 2003.03， Graduated

  • Osaka University， Faculty of Human Science

    University， 2001.03， Graduated

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Graduate School 【 display / non-display 】

  • Osaka University， Graduate School, Division of Engineering Science

    Doctor's Course， 2006.03， Completed

  • Osaka University， Graduate School, Division of Human Science

    Master's Course， 2003.03， Completed

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Degree 【 display / non-display 】

  • Doctor of Philosophy in Engineering， Informatics / Statistical science， Osaka University， Coursework， 2006.03

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Campus Career 【 display / non-display 】

  • Shiga University Faculty of Data science，Professor， 2025.04 - Now

  • Shiga University Faculty of Data science，Specially appointed professor， 2025.02 - 2025.03

  • Shiga University Faculty of Data science，Professor， 2018.04 - 2025.01

  • Shiga University Faculty of Data science，Associate Professor， 2017.04 - 2018.03

  • Shiga University Center for Education and Research of Data Science，Associate Professor， 2016.04 - 2017.03

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Association Memberships 【 display / non-display 】

  • The Biometric Society of Japan， 2021.12 - Now

  • Behaviormetric Society

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Research Areas 【 display / non-display 】

  • Informatics / Intelligent informatics

  • Informatics / Statistical science

  • Informatics / Statistical science

  • Informatics / Intelligent informatics

  • Natural Science / Basic mathematics

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Papers 【 display / non-display 】

  • Python package for causal discovery based on LiNGAM.， Journal of Machine Learning Research， vol.24 (p.14 - 8) ， 2023, International coauthorship

    Research paper (scientific journal)， Single Author

  • Causal Discovery for Linear Mixed Data.， 1st Conference on Causal Learning and Reasoning(CLeaR)， vol.177 (p.994 - 1009) ， 2022, International coauthorship

    Research paper (international conference proceedings)， Single Author

  • Causal additive models with unobserved variables.， UAI， vol.161 (p.97 - 106) ， 2021, Takashi Nicholas Maeda, Shohei Shimizu

    Research paper (international conference proceedings)， Single Author

  • Estimating individual-level optimal causal interventions combining causal models and machine learning models.， The KDD 2021 Workshop on Causal Discovery(CD@KDD)， vol.150 (p.55 - 77) ， 2021, Keisuke Kiritoshi, Tomonori Izumitani, Kazuki Koyama, Tomomi Okawachi, Keisuke Asahara, Shohei Shimizu

    Research paper (international conference proceedings)， Single Author

  • Siamese Neural Network Based Few-Shot Learning for Anomaly Detection in Industrial Cyber-Physical Systems， IEEE Transactions on Industrial Informatics， vol.17 (8) (p.5790 - 5798) ， 2020.12, Xiaokang Zhou, Wei Liang, Shohei Shimizu, Jianhua Ma, Qun Jin

    DOI:10.1109/TII.2020.3047675, Research paper (scientific journal)， Single Author

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Books 【 display / non-display 】

  • Probabilistic graphical models, KYORITSU SHUPPAN CO., LTD., 2016.07, Joe Suzuki, Maomi Ueno, Manabu Kuroki, Shohei Shimizu, Shin-ichi Minato, Masakazu Ishihata, YOSHIYUKI KABASHIMA, Kazuyuki Tanaka, Yoichi Motomura, Yoshinori Tamada

    Scholarly book, Joint author

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Review Papers 【 display / non-display 】

  • Optimization and control applications through repeated interventions based on structural causal models， The Japanese Society for Artificial Intelligence， Proceedings of the Annual Conference of JSAI， vol.JSAI2024 (p.4Xin231) ， 2024, FUJIWARA Daigo, IZUMITANI Tomonori, SHIMIZU Shohei

    DOI:10.11517/pjsai.jsai2024.0_4xin231, , Single Author

  • Educational Goals and Achievements of Undergraduate and Graduate Programs of Data Science in Shiga University， Journal of JSEE， 2022, Heiwa Date, Shohei Shimizu, Akimichi Takemura

    Article, review, commentary, editorial, etc. (scientific journal), Single Author

  • Educational Goals and Achievements of Undergraduate and Graduate Programs of Data Science in Shiga University， Japanese Society for Engineering Education， Journal of JSEE， vol.70 (1) (p.1_7 - 1_12) ， 2022, DATE Heiwa, SHIMIZU Shohei, TAKEMURA Akimichi

    DOI:10.4307/jsee.70.1_7, , Single Author

  • Recent advances in semi-parametric methods for causal discovery， Direction Dependence in Statistical Modeling: Methods of Analysis (p.111 - 130) ， 2020.12, Shohei Shimizu, Patrick Blöbaum

    DOI:10.1002/9781119523024.ch5, , Single Author

  • A survey on integrity auditing for data storage in the cloud: from single copy to multiple replicas， IEEE Transactions on Big Data， vol.8 (5) (p.1428 - 1442) ， 2020.10, Angtai Li, Yu Chen, Zheng Yan, Xiaokang Zhou, Shohei Shimizu

    DOI:10.1109/TBDATA.2020.3029209, , Single Author

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Presentations 【 display / non-display 】

  • Basics of Causal Inference, Domestic presentation， 2017.02， Basics of Causal Structure Learning， Public lecture, seminar, tutorial, course, or other speech

  • The 100th workshop of Japan Institute of Marketing Science, Domestic presentation， 2016.11， Causal analysis of Marketing data， Oral presentation (general)

  • The 23rd Infomation-Based Induction Sciences and Machine Learning (IBISML) Meeting, Domestic presentation， 2016.03， Causal discovery， Oral presentation (invited, special)

  • The 3rd Methodology Seminar of the Japanese Society of Social Psychology, Domestic presentation， 2016.03， Causal discovery， Public lecture, seminar, tutorial, course, or other speech

  • Computational Science and Visual Analytics, Domestic presentation， 2016.03， Causal discovery and non-Gaussianity， Oral presentation (invited, special)

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Awards 【 display / non-display 】

  • Hayashi Chikio Award (Excellence Award), 2016.09， Award from Japanese society, conference, symposium, etc.，

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Committee Memberships 【 display / non-display 】

  • Society for General Psychology, Division 1 of the American Psychological Association， Editorial Board Member of Review of General Psychology， 2025 - Now

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Research Grants & Projects 【 display / non-display 】

  • ，Grant-in-Aid for Scientific Research(B)Grant-in-Aid for Scientific Research(B)，2025.04 - 2029.03

  • ，Grant-in-Aid for Scientific Research(B)Grant-in-Aid for Scientific Research(B)，2025

  • ，Joint researchJoint research，2024

  • ，Contract ResearchContract Research，2024

  • ，Understanding Attack Mechanisms against AI through Causal Structures of Classification and Building Countermeasures，Grant-in-Aid for Scientific Research(A)Grant-in-Aid for Scientific Research(A)，2023.04 - 2028.03，Japan Society for the Promotion of Science

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Preferred joint research theme 【 display / non-display 】

  • 【キーワード】統計科学／機械学習／因果推論

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Charge of on-campus class subject 【 display / non-display 】

  • 課題研究２，2025.10 - 2026.03

  • 課題研究４，2025.10 - 2026.03

  • データサイエンス特別研究６，2025.10 - 2026.03

  • データサイエンス特別研究４，2025.10 - 2026.03

  • データサイエンス特別研究２，2025.10 - 2026.03

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Charge of off-campus class subject 【 display / non-display 】

  • データサイエンス上級実践価値創造卒業演習Ⅰ，Shiga University，

  • データサイエンス上級実践価値創造卒業演習Ⅱ，Shiga University，

  • データサイエンス実践価値創造演習Ⅰ，Shiga University，

  • データサイエンス実践価値創造演習Ⅱ，Shiga University，

  • データサイエンス概論，Shiga University，

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Media Coverage 【 display / non-display 】

  • 2022.06.05

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Academic Activities 【 display / non-display 】

  • Role(s)： Review, evaluation

    2024.04.01 - Now

  • 2022.07 - 202209

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