Rchr
J-GLOBAL ID:201401016443401433   Update date: Mar. 09, 2026

Mamitsuka Hiroshi

Mamitsuka Hiroshi
Homepage URL  (2): http://www.bic.kyoto-u.ac.jp/pathway/mamihttps://www.bic.kyoto-u.ac.jp/pathway/mami/index.html
Research field  (1): Intelligent informatics
Research keywords  (3): data-driven science ,  bioinformatics ,  machine learning
Research theme for competitive and other funds  (17):
  • 2025 - 2030 High-speed physics simulation with graph deep learning: application to systems biology
  • 2021 - 2026 Development of new fabrication methods of polymer materials based on the structurally controlled hyperbranched polymers
  • 2022 - 2025 Latent data structure estimation through integrating diverse data
  • 2020 - 2023 Developing machine learning based bioinformatics to decipher hidden biology of depression symptoms
  • 2019 - 2022 Efficient estimation of data structure from multiple tensors
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Papers (237):
  • Masaaki Ishikawa, Zhiqian Jiang, Canh Hao Nguyen, Hiroatsu Hatsukawa, Hiroshi Mamitsuka. Clinical Key Features Uncovered by Blood Eosinophilia-Based Machine Learning Classification of Chronic Rhinosinusitis. International forum of allergy & rhinology. 2025
  • Peter Petschner, Anh Duc Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka. Machine learning for predicting drug-drug interactions: Graph neural networks and beyond. Current Opinion in Systems Biology. 2025. 42. 100551-100551
  • John Lee, Canh Hao Nguyen, Hiroshi Mamitsuka. Beyond rigid docking: deep learning approaches for fully flexible protein-ligand interactions. Briefings in Bioinformatics. 2025. 26. 5
  • Dai Hai Nguyen, Hiroshi Mamitsuka, Atsuyoshi Nakamura. Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization. Proceedings of the 41st Conference on Uncertainty in Artificial Intelligence (UAI 2025). 2025
  • Masaaki Ishikawa, Zhiqian Jiang, Canh Hao Nguyen, Hiroatsu Hatsukawa, Tomoyuki Hirai, Hirotaka Matsumoto, Emiko Saito, Kouya Okazaki, Kazuo Endo, Satoru Terada, et al. Uncovering Key Features for Predicting Comorbid Chronic Eosinophilic Pneumonia in Chronic Rhinosinusitis via Machine Learning. International Forum of Allergy & Rhinology. 2025. 15
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MISC (24):
Patents (11):
  • Method and system for selecting a plant variety
  • Knowledge finding method
  • 複数文字列アライメント方法およびシステム
  • 隠れマルコフモデル学習システム及び学習方法
  • タンパク質立体構造予測方法
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Books (14):
  • Machine Learning for Marketing
    Global Data Science Publishing 2019 ISBN:9784991044526
  • Textbook of Machine Learning and Data Mining (with Bioinformatics Applications)
    Global Data Science Publishing 2018 ISBN:9784991044502
  • Methods in Molecular Biology, Volume 1807: Data Mining for Systems Biology: Methods and Protocols, 2nd Edition
    Humana Press (Springer) 2018 ISBN:9781493985609
  • Methods in Molecular Biology, Volume 993: In Silico Models for Drug Discovery
    Humana Press (Springer) 2013 ISBN:9781627033411
  • Methods in Molecular Biology, Volume 939: Data Mining for Systems Biology: Methods and Protocols
    Humana Press (Springer) 2012 ISBN:9781627031066
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Lectures and oral presentations  (188):
  • Machine Learning Tutorial with Examples of Biological Applications.
    (Seminar 2025)
  • Machine Learning Tutorial with Examples of Biological Applications.
    (Seminar 2025)
  • Machine Learning Tutorial with Examples of Biological Applications.
    (Seminar 2025)
  • Successful examples II.: machine learning (ML) tutorial and cases of impactful ML method development
    (PhD Course: ”A practical guide (with international experts) to using and developing problem-focused, innovative, data-driven bioinformatics methodologies. 2025)
  • Overview of method development: implementing motivations into the method / model
    (PhD Course: ”A practical guide (with international experts) to using and developing problem-focused, innovative, data-driven bioinformatics methodologies. 2025)
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Work history (3):
  • 2005/04 - 現在 Kyoto University Bioinformatics Center, Institute for Chemical Research Professor
  • 2002/04 - 2005/03 Kyoto University SGI Donation Laboratory, Institute for Chemical Research Visiting Associate Professor
  • 1991/04 - 2002/03 NEC Corporation Research Staff Member
Committee career (104):
  • 2025/11 - 2025/11 34th ACM International Conference on Information and Knowledge Management (CIKM 2025) Senior Program Committee Member
  • 2024/10 - 2024/10 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024) Senior Program Committee Member
  • 2023/10 - 2023/10 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023) Senior Program Committee Member
  • 2023/09 - 2023/09 European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2023) Program Committee Member
  • 2023/08 - 2023/08 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023) Program Committee Member
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Awards (4):
  • 2018/12 - School of Science, Aalto University SCI Awards 2018: Innovation of the Year Using Machine Learning to Tackle the Impending Food Crisis
  • 2014/11 - Dream Challenges Best performer The Broad-DREAM Gene Essentiality Prediction Challenge, Sub-Challenge 1
  • 2014/02 - IEEE Kansai Section IEEE Kansai Section Medal
  • 2009 - IEEE Computer Society Service Award Program Committee Co-chair of the 9th IEEE International Conference on Bioinformatics and Bioengineering
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