Rchr
J-GLOBAL ID：200901076660901684   Update date: Sep. 03, 2024

Koji Fukagata

フカガタ コウジ | Koji Fukagata
Affiliation and department：
Keio University Faculty of Science and Technology Department of Mechanical Engineering

About Keio University Faculty of Science and Technology Department of Mechanical Engineering


Job title： Professor
Homepage URL  (1)： http://kflab.jp
Research field  (4)： Intelligent informatics ,  Mechanics and mechatronics ,  Thermal engineering ,  Fluid engineering
Research theme for competitive and other funds  (29)：
  • 2021 - 2026 Creation and implementation of an innovative flow control paradigm utilizing machine learning
  • 2020 - 2024 実環境大気エアロゾルの帯電状態が生体および地表面への粒子沈着へ及ぼす影響
  • 2018 - 2021 機械学習による乱流ビッグデータの特徴抽出手法の構築
  • 2020 - 2021 境界層制御による航空機の抵抗低減に関する研究
  • 2019 - 2021 次世代自動車等の開発加速化に係るシミュレーション基盤構築に関連した研究
Show all
Papers (169)：
  • T. Ishize, H. Omichi, K. Fukagata. Flow control by a hybrid use of machine learning and control theory. Int. J. Numer. Meth. Heat Fluid Flow. 2024. 34. 8. 3253-3277
  • Mitsuaki Matsuo, Kai Fukami, Taichi Nakamura, Masaki Morimoto, Koji Fukagata. Reconstructing Three-Dimensional Bluff Body Wake from Sectional Flow Fields with Convolutional Neural Networks. SN Computer Science. 2024. 5. 3
  • Y. Nabae, K. Fukagata. Theoretical and numerical analyses of turbulent plane Couette flow controlled using uniform blowing and suction. Int. J. Heat Fluid Flow. 2024. 106. 109286
  • 難波江 佑介, 深潟 康二, Bayesian optimization. Bayesian optimization of traveling wave-like wall deformation for friction drag reduction in turbulent channel flow. 日本機械学会流体工学部門ニュースレター「今この論文/技術/研究開発が熱い!」. 2023. 2023年9月号. JFST0024
  • K. Fukami, K. Fukagata, K. Taira. Super-resolution analysis via machine learning: A survey for fluid flows. Theor. Comput. Fluid Dyn. 2023. 36. 4. 421-444
ｍore...
MISC (136)：
  • 深潟 康二. 畳み込みニューラルネットワークを用いた流れ場の低次元化・推定・制御. 日本機械学会計算力学部門ニュースレター. 2024. 71. 20-23
  • 深潟 康二. §4.7.1 CNN-AE による流れの特徴抽出とその応用. 計算科学ロードマップ2023. 2024
  • Turbulent drag reduction by streamwise traveling waves of wall-normal forcing. Annu. Rev. Fluid Mech. 2024. 56. 45-66
  • 深潟 康二. 機械学習の基礎と流体問題への応用. ターボ機械. 2023. 51. 10-16
  • K. Fukagata. Reduced order modeling of fluid flows using convolutional neural networks. J. Fluid Sci. Technol. 2023. 18. 1. JFST0002
ｍore...
Patents (1)：
  • 気流制御装置、航空機及び気流制御方法
Books (3)：
  • 細胞療法・再生医療のための培養システム(紀ノ岡・酒井編)
    CMC出版 2010
  • 乱流工学ハンドブック(笠木・河村・長野・宮内編)
    朝倉書店 2009
  • Transition and Turbulence Control
    World Scientific, Singapore 2006 ISBN:9789812564702
Lectures and oral presentations  (548)：
  • Application of machine-learning-bsed autoencoder toward advanced flow control design
    (26th International Congress of Theoretical and Applied Mechanics (ICTAM2024))
  • Drag reduction effect of streamwise traveling wave with spanwise phase shift in a turbulent channel flow
    (16th World Congress on Computational Mechanics (WCCM2024))
  • Machine learning-based anomaly detector for external flow
    (16th World Congress on Computational Mechanics (WCCM2024))
  • Toward machine-learning-assisted flow control
    (Numerical and Machine Learning Techniques for Fluid Dynamics, Jamshedpur, India)
  • Turbulent friction drag reduction - Feedback and predetermined control approaches
    (2024 Australasian Fluid Mechanics Seminar Series #5)
ｍore...
Education (3)：
  • 2000 - 2000 The University of Tokyo Graduate School, Division of Engineering Departmemt of Quantum Engineering and Systems Science
  • 2000 - 2000 Kungliga Tekniska Högskolan Faculty of Engineering Physics Department of Mechanics
  • 1994 - 1994 The University of Tokyo Faculty of Engineering Department of Quantum Engineering and Systems Science
Professional career (3)：
  • PhD (Engineering) (The University of Tokyo)
  • TeknD (Kungliga Tekniska Högskolan (KTH))
  • TeknL (Kungliga Tekniska Högskokan)
Work history (6)：
  • 2015/04 - 現在 Keio University Faculty of Science and Technology Professor
  • 2011/04 - 2015/03 Keio University Faculty of Science and Technology Associate Professor
  • 2007/04 - 2011/03 Keio University Faculty of Science and Technology Assistant Professor
  • 2003/04 - 2007/03 The University of Tokyo Graduate School of Engineering Research Associate
  • 2001/04 - 2003/03 National Institute of Advanced Industrial Science and Technology Energy Technology Research Institute Postdoctoral Fellow (SMART Project)
Show all
Committee career (155)：
  • 2024/06 - 現在 1st International Symposium on AI and Fluid Mechanics (AIFLUIDs) Scientific Committee Member
  • 2023/10 - 現在 JST創発的研究支援事業 塩見(淳)パネル 創発アドバイザー
  • 2023/04 - 現在 東京大学生産技術研究所 リサーチフェロー
  • 2023/04 - 現在 日本機械学会 RC-297 カーボンニュートラルに貢献する熱流体技術の開発に向けた産学ネットワーキングのための研究分科会 委員
  • 2022/10 - 現在 日本機械学会 P-SCD419 せん断流の多様な機能の探究と先端科学技術の応用に関する研究分科会(4) 委員
Show all
Awards (22)：
  • 2023/07 - 日本機械学会流体工学部門 一般表彰(貢献表彰)
  • 2023/04 - 日本機械学会賞(論文)
  • 2020/10 - 日本機械学会熱工学部門 講演論文表彰(PRTEC2019)
  • 2020/10 - 日本機械学会熱工学部門 貢献表彰
  • 2019/12 - COMSOL AB COMSOL Conference 2019 Tokyo 優秀口述講演者賞
Show all
Association Membership(s) (10)：
The Japanese Society for Artificial Intelligence ,  日本伝熱学会(HTSJ) ,  American Institute of Aeronautics and Astronautics (AIAA) ,  European Research Communities on Flow, Turbulence and Combustion (ERCOFTAC) ,  American Physical Society (APS) ,  Japan Association for Computational Mechanics (IACM) ,  The Japan Society of Mechanical Engineers (JSME) ,  The Japan Society of Fluid Mechanics (JSFM) ,  The Japanese Society for Multiphase Flow (JSFM) ,  European Mechanics Society (EUROMECH)
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page

TOP

BOTTOM