Rchr
J-GLOBAL ID：201801018686011962   Update date: Nov. 10, 2024

Tanaka Gouhei

Tanaka Gouhei
Research field  (2)： Mathematical informatics ,  Soft computing
Research keywords  (13)： Control ,  Optimization ,  Mathematical modeling of diseases ,  Nonlinear system ,  Neural networks ,  Mathematical biology ,  Complex systems ,  Reservoir computing ,  Neurocomputing hardware ,  Artificial intelligence ,  Complex networks ,  Bifurcation theory ,  Dynamical systems
Research theme for competitive and other funds  (6)：
  • 2023 - 2027 Mathematical Foundations of Brain-Inspired Computing Based on Diversity
  • 2020 - 2023 Development of fast machine learning methods based on combinations of different computational models
  • 2017 - 2019 Bifurcation analysis of cellular systems dynamics and its application to disease control
  • 2016 - 2019 Mathematical analysis and optimal design of reservoir computing systems
  • 2012 - 2014 Mathematical Research on Dynamical Robustness of Complex Networks
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Papers (100)：
  • Junkai Mao, Yuexing Han, Gouhei Tanaka, Bing Wang. Backbone-based Dynamic Spatio-Temporal Graph Neural Network for epidemic forecasting. Knowledge-Based Systems. 2024. 296. 111952-111952
  • Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka. Designing Network Topologies of Multiple Reservoir Echo State Networks: A Genetic Algorithm Based Approach. 2024 International Joint Conference on Neural Networks (IJCNN). 2024. 148. 1-9
  • Junya Kato, Gouhei Tanaka, Ryosho Nakane, Akira Hirose. Reconstructive reservoir computing for anomaly detection in time-series signals. Nonlinear Theory and Its Applications, IEICE. 2024. 15. 1. 183-204
  • Shihori Koyama, Daisuke Inoue, Hiroaki Yoshida, Kazuyuki Aihara, Gouhei Tanaka. Predicting unobserved climate time series data at distant areas via spatial correlation using reservoir computing. CoRR. 2024. abs/2406.03061
  • Shuhan Zheng, Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka. Diffusion model for relational inference. CoRR. 2024. abs/2401.16755
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MISC (72)：
  • 田中剛平. リザバーコンピューティング. 電子情報通信学会誌. 2023. 106. 6
  • Reservoir computing utilizing spin waves: enhancement of computational performance through a practical approach for on-chip devices. 応用物理学会春季学術講演会講演予稿集(CD-ROM). 2023. 70th
  • Gouhei Tanaka, Claudio Gallicchio, Alessio Micheli, Juan Pablo Ortega, Akira Hirose. Guest Editorial Special Issue on New Frontiers in Extremely Efficient Reservoir Computing. IEEE Transactions on Neural Networks and Learning Systems. 2022. 33. 6. 2571-2574
  • 加藤准也, 田中剛平, 田中剛平, 中根了昌, 廣瀬明. Experiments of Reconstructive Reservoir Computing to Detect Anomaly in Time-series Signals. 電子情報通信学会技術研究報告(Web). 2022. 121. 390(NC2021 46-78)
  • 渡邊隆二, 田中剛平. Relationship between Computational Performance and Task Difficulty of Reinforcement Learning Methods Using Reward Machines. 電子情報通信学会技術研究報告(Web). 2022. 121. 444(NLP2021 126-152)
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Books (1)：
  • リザバーコンピューティング : 時系列パターン認識のための高速機械学習の理論とハードウェア
    森北出版 2021 ISBN:9784627855311
Lectures and oral presentations  (24)：
  • リザバーコンピューティングによる生体情報を用いた省資源かつ効率的な感情推定手法の提案
    (情報処理学会 第210回 ヒューマンコンピュータインタラクション研究会 2024)
  • Recent progress in reservoir computing: methods and applications
    (International Symposium on Physics and Applications of Laser Dynamics 2024 2024)
  • Development of oxide-based leaky-integrating transistor forspiking neural networks
    (Technical Committee on Magnetic Recording & Information Storage (MRIS), IEICE 2024)
  • A genetic approach for designing network topologies ofmultiple reservoir echo state networks
    (IRCN Retreat 2024 2024)
  • Federated learning based on reservoir computing for anomaly detection
    (IRCN Retreat 2024 2024)
ｍore...
Education (4)：
  • 2002 - 2005 The University of Tokyo Graduate School of Frontier Sciences Department of Complexity Science and Engineering, Doctoral course
  • 2000 - 2002 The University of Tokyo Graduate School of Frontier Sciences Department of Complexity Science and Engineering, Master course
  • 1998 - 2000 The University of Tokyo Faculty of Engineering Department of Mathematical Engineering and Information Physics
  • 1996 - 1998 The University of Tokyo College of Arts and Sciences Natural Sciences 1
Work history (10)：
  • 2024/10 - 現在 International Research Center for Neurointelligence, Institute for Advanced Study, The University of Tokyo Part-time Lecturer
  • 2023/04 - 現在 Nagoya Institute of Technology Professor
  • 2020/10 - 2023/03 The University of Tokyo International Research Center for Neurointelligence Project Associate Professor
  • 2013/04 - 2020/09 The University of Tokyo Graduate School of Engineering Project Associate Professor
  • 2011/08 - 2013/03 The University of Tokyo Institute of Industrial Science Project Associate Professor
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Committee career (4)：
  • 2023/08 - 現在 Information-technology Promotion Agency, MITOU program Project Manager
  • 2023/01 - 現在 Neural Networks Action Editor
  • 2016 - 2018 日本学術振興会 先導的研究開発委員会「マテリアル・インフォマティクスによるものづくりプラットフォームの戦略的構築」
  • 2012 - 2015 科学技術振興機構 研究開発戦略センター(CRDS) 「研究開発の俯瞰報告書」(システム科学技術分野)
Awards (5)：
  • 2020/11 - European Neural Network Society Best Paper Award 3rd Prize, 29th International Conference on Artificial Neural Networks (ICANN) Two-Step FORCE Learning Algorithm for Fast Convergence in Reservoir Computing
  • 2017 - 日本応用数理学会 業績賞 「前立腺癌の間欠的内分泌療法に関する数理的アプローチ」
  • 2017 - IEEE Transcations on Nanotechnology 2016 Best Paper Award
  • 2011 - First International Symposium on Innovative Mathematical Modelling Best Poster Award (Silver Prize) Robustness of Scale-free Networks of Oscillators against Partial Inactivation
  • 2005 - Society for Industrial and Applied Mathematics Honorable Mention Award, DSWeb Tutorials Contest Crisis-induced Intermittency in Coupled Chaotic Maps
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