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J-GLOBAL ID:200901013845999956   Update date: Feb. 19, 2024

Suzuki Hideyuki

スズキ ヒデユキ | Suzuki Hideyuki
Affiliation and department:
Job title: Professor
Homepage URL  (2): http://www-nomo.ist.osaka-u.ac.jp/hideyuki/ja/http://www-nomo.ist.osaka-u.ac.jp/hideyuki/
Research field  (2): Soft computing ,  Mathematical informatics
Research keywords  (12): traffic flow ,  Modeling ,  Mathematical Engineering ,  Complex systems ,  Hybrid systems ,  Neural networks ,  Brain ,  Nonlinear dynamical systems ,  Partial discharge ,  Chaos ,  Fractals ,  Mathematical modeling
Research theme for competitive and other funds  (14):
  • 2023 - 2027 空間光イジングマシンの低ランク計算モデルと高効率光学実装
  • 2020 - 2025 Fundamentals and developments of brainmorphic computing hardware
  • 2018 - 2024 光ニューラルネットワークの時空間ダイナミクスに基づく計算基盤技術
  • 2016 - 2020 Diagnosis and reinforcement of network structure by multi-dimensional optical sensors
  • 2015 - 2020 太陽光発電予測に基づく調和型電力系統制御のためのシステム理論構築
Show all
Papers (130):
  • 大石悟, 小宮賢士, 鈴木秀幸, 白坂将. 遅延座標系を用いたデータ駆動水害予測. 信学技報. 2024. 123. 354. 8-11
  • Takumi Sakabe, Suguru Shimomura, Yusuke Ogura, Ken-ichi Okubo, Hiroshi Yamashita, Hideyuki Suzuki, Jun Tanida. Spatial-photonic Ising machine by space-division multiplexing with physically tunable coefficients of a multi-component model. Optics Express. 2023. 31. 26. 44127-44138
  • Tetsutaro Kataoka, Hiroshi Yamashita, Hideyuki Suzuki. Optimization of the Coupling Weight Schedule in Momentum Annealing. Proceedings of the 2023 International Symposium on Nonlinear Theory and Its Applications. 2023. 426-426
  • Hiroshi Yamashita, Hideyuki Suzuki. A Formulation of Clustering Problems as Ising Problems with Convolutional Interaction Structure. Proceedings of the 2023 International Symposium on Nonlinear Theory and Its Applications. 2023. 315-316
  • Satoshi Oishi, Hideyuki Suzuki, Sho Shirasaka. Hyperparameter Tuning of Reservoir Computers for Attractor Reconstruction. Proceedings of the 2023 International Symposium on Nonlinear Theory and Its Applications. 2023. 258-258
more...
MISC (4):
  • Division of Nonlinear Systems, Modeling and Optimization. Manufacturing & technology. 2018. 70. 1. 83-85
  • J. KOBAYASHI Tetsuya, SUZUKI Hideyuki. Preface for the Joint Special Issue on Engineering in Medicine and Biology and Industrial Mathematics. SEISAN KENKYU. 2014. 66. 3. 271-271
  • Suzuki Hideyuki, Aihara Kazuyuki. Collaborative Research Center for Innovative Mathematical Modelling, Institute of Industrial Science, The University of Tokyo(Laboratories). Bulletin of the Japan Society for Industrial and Applied Mathematics. 2010. 20. 4. 342-344
  • 藤井 輝夫, 鈴木 秀幸, 高宮 真. センター通史. 生産研究. 2009. 61. 3. 210-212
Books (5):
  • Photonic Neural Networks with Spatiotemporal Dynamics
    Springer Singapore 2023 ISBN:9789819950720
  • 次世代電力システム設計論 : 再生可能エネルギーを活かす予測と制御の調和
    オーム社 2019 ISBN:9784274507533
  • 応用数理ハンドブック
    朝倉書店 2013 ISBN:9784254111415
  • 理工学系からの脳科学入門
    東京大学出版会 2008 ISBN:9784130623049
  • 数理工学最新ツアーガイド : 応用から生まれつつある新しい数学
    日本評論社 2008 ISBN:9784535784994
Lectures and oral presentations  (5):
  • ネットワーク系の非線形ダイナミクスとコンピューティング
    (京都女子大学 第1回データサイエンス情報領域シンポジウム 2024)
  • 空間光イジングマシンの原理と最新研究状況
    (第169回微小光学研究会 「光コンピューティングの新たな潮流」 2023)
  • Prediction of Rate-Induced Tipping Phenomena Using Machine Learning
    (SIAM Conference on Applications of Dynamical Systems (DS23) 2023)
  • Prediction of Chaos by Data-Driven Hybrid Reservoir Computing
    (The 2021 Nonlinear Science Workshop 2021)
  • Extreme Learning Machine Using Nonlinear Frequency Dependence of Fluorescence Amplitude Modulation
    (The 2021 Nonlinear Science Workshop 2021)
Education (4):
  • 1998 - 2001 The University of Tokyo Graduate School of Engineering Department of Mathematical Engineering and Information Physics (Ph.D. course)
  • 1996 - 1998 The University of Tokyo Graduate School of Engineering Department of Mathematical Engineering and Information Physics (Master course)
  • 1994 - 1996 The University of Tokyo School of Science Department of Mathematics
  • 1992 - 1994 The University of Tokyo College of Arts and Sciences
Professional career (1):
  • Ph.D.
Work history (5):
  • 2016/04 - 現在 Osaka University Graduate School of Information Science and Technology, Department of Information and Physical Sciences
  • 2013/10 - 2016/03 The University of Tokyo Graduate School of Information Science and Technology, Department of Mathematical Informatics
  • 2005/08 - 2013/09 The University of Tokyo Institute of Industrial Science Associate Professor
  • 2009/10 - 2013/03 科学技術振興機構 さきがけ研究員
  • 2001/04 - 2005/07 The University of Tokyo Graduate School of Information Science and Technology, Department of Mathematical Informatics Research Associate
Awards (2):
  • 2022/10 - 大阪大学 大阪大学賞(教育貢献部門) 共通講義におけるデジタル教材の作成と活用推進
  • 2018/09 - 日本応用数理学会 2018年度日本応用数理学会論文賞 Hamiltonian Monte Carlo with explicit, reversible, and volume-preserving adaptive step size control
Association Membership(s) (2):
Institute of Electronics, Information and Communication Engineers ,  The Japan Society for Industrial and Applied Mathematics
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