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Affiliation
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Faculty of Science and Technology, Department of Mechanical Engineering （Yagami）
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Position
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Professor
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Related Websites
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External Links
Fukagata, Koji
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Profile Summary 【 Display / hide 】
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Our research interests are numerical simulation and mathematical modeling of complex heat and flow phenomena, including turbulent flows and multiphase flows, and also development of advanced control methods for such flow phenomena. The research area is being expanded toward establishment of design methodology for thermo-fluids systems by integrating control theories, optimization methods, machine learning, and large-scale flow simulation techniques.
Career 【 Display / hide 】
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2000.10-2001.03
Agency of Industrial Science and Technology, Mechanical Engineering Laboratory, Postdoctoral Fellow (SMART Project)
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2001.04-2003.03
National Institute of Advanced Industrial Science and Technology, Energy Technology Research Institute, Postdoctoral Fellow (SMART Project)
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2003.04-2007.03
The University of Tokyo, Graduate School of Engineering, Research Associate
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2007.04-2011.03
Keio University, Faculty of Science and Technology, Assistant Professor
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2011.04-2015.03
Keio University, Faculty of Science and Technology, Associate Professor
Academic Background 【 Display / hide 】
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2000.09
The University of Tokyo, Graduate School, Division of Engineering, Departmemt of Quantum Engineering and Systems Science
Graduate School, Completed, Doctoral course
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2000.04
Kungliga Tekniska Högskolan, Faculty of Engineering Physics, Department of Mechanics
Sweden, Graduate School, Completed, Doctoral course
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1994.03
The University of Tokyo, Faculty of Engineering, Department of Quantum Engineering and Systems Science
University, Graduated
Academic Degrees 【 Display / hide 】
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PhD (Engineering), The University of Tokyo, Coursework, 2000.09
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TeknD, Kungliga Tekniska Högskolan (KTH), Coursework, 2000.04
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TeknL, Kungliga Tekniska Högskokan, Coursework, 1997.06
Licenses and Qualifications 【 Display / hide 】
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JSME-Certified Computational Mechanics Engineer, Senior Analyst, 2010.02
Research Areas 【 Display / hide 】
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Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Fluid engineering (Fluids Engineering)
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Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Thermal engineering
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Informatics / Mechanics and mechatronics
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Informatics / Intelligent informatics
Research Themes 【 Display / hide 】
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Fusion of fluid mechanics and machine learning,
2016-Present -
Understanding, prediction, control and optimization of complex heat and flow phenomena,
2007-Present
Books 【 Display / hide 】
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細胞療法・再生医療のための培養システム（紀ノ岡・酒井編）
FUKAGATA Koji, CMC出版, 2010.01
Scope: 第13章 旋回培養による軟骨再生
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乱流工学ハンドブック（笠木・河村・長野・宮内編）
FUKAGATA Koji, 朝倉書店, 2009.11
Scope: §19.3.5 状態フィードバック制御
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Transition and Turbulence Control
N. Kasagi and K. Fukagata, World Scientific, Singapore, 2006.01
Scope: Chap. 10: The FIK identity and its implication for turbulent skin friction control
Papers 【 Display / hide 】
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Flow control by a hybrid use of machine learning and control theory
T. Ishize, H. Omichi, and K. Fukagata
Int. J. Numer. Meth. Heat Fluid Flow 34 （ 8 ） 3253 - 3277 2024.08
Research paper (scientific journal), Joint Work, Last author, Corresponding author, Accepted
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Reconstructing three-dimensional bluff body wake from sectional flow fields with convolutional neural networks
M. Matsuo, K. Fukami, T. Nakamura, M. Morimoto, K. Fukagata
SN Comput. Sci. 5 306 2024.03
Research paper (scientific journal), Last author, Corresponding author, Accepted
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Theoretical and numerical analyses of turbulent plane Couette flow controlled using uniform blowing and suction
Y. Nabae, K. Fukagata
Int. J. Heat Fluid Flow 106 109286 2024.01
Research paper (scientific journal), Joint Work, Last author, Accepted
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Super-resolution analysis via machine learning: A survey for fluid flows
K. Fukami, K. Fukagata, and K. Taira
Theor. Comput. Fluid Dyn. 36 421 - 444 2023.06
Research paper (scientific journal), Joint Work, Accepted
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A new perspective on skin-friction contributions in adverse-pressure-gradient turbulent boundary layers
M. Atzori, F. Mallor, R. Pozuelo, K. Fukagata, R. Vinuesa, and P. Schlatter
Int. J. Heat Fluid Flow 101 109117 2023.02
Research paper (scientific journal), Joint Work, Accepted
Papers, etc., Registered in KOARA 【 Display / hide 】
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Construction of feature extraction method for turbulence big data by machine learning
Fukagata, Kōji
科学研究費補助金研究成果報告書 2020
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Fukagata, Kōji
科学研究費補助金研究成果報告書 2019
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Development of theoretical control methods for aerodynamic drag reduction
Fukagata, Koji
科学研究費補助金研究成果報告書 2017
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Fukagata, Koji
科学研究費補助金研究成果報告書 2011
Reviews, Commentaries, etc. 【 Display / hide 】
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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
深潟 康二
日本機械学会計算力学部門ニュースレター ( 71 ) 20 - 23 2024.07
Article, review, commentary, editorial, etc. (other), Single Work
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深潟 康二（分担執筆）
計算科学ロードマップ2023 (HPCI コンソーシアム計算科学フォーラム) 2024.05
Article, review, commentary, editorial, etc. (other), Lead author
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Turbulent drag reduction by streamwise traveling waves of wall-normal forcing
Annu. Rev. Fluid Mech. 56 45 - 66 2024.01
Article, review, commentary, editorial, etc. (scientific journal), Joint Work, Lead author, Corresponding author
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機械学習の基礎と流体問題への応用
深潟 康二
ターボ機械 51 10 - 16 2023.11
Article, review, commentary, editorial, etc. (scientific journal)
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難波江 佑介，深潟 康二，~ "Bayesian optimization
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年9月号 2023.09
Article, review, commentary, editorial, etc. (trade magazine, newspaper, online media), Last author
Presentations 【 Display / hide 】
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Application of machine-learning-bsed autoencoder toward advanced flow control design
K. Fukagata
26th International Congress of Theoretical and Applied Mechanics (ICTAM2024),
2024.08,Oral presentation (invited, special)
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Drag reduction effect of streamwise traveling wave with spanwise phase shift in a turbulent channel flow
K. Oishi, Y. Nabae, and K. Fukagata
16th World Congress on Computational Mechanics (WCCM2024),
2024.07,Oral presentation (general)
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Machine learning-based anomaly detector for external flow
R. Goto, T. Ishize, R. Miura, and K. Fukagata
16th World Congress on Computational Mechanics (WCCM2024),
2024.07,Oral presentation (general)
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Toward machine-learning-assisted flow control
K. Fukagata
Numerical and Machine Learning Techniques for Fluid Dynamics, Jamshedpur, India,
2024.05,Oral presentation (invited, special)
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Turbulent friction drag reduction - Feedback and predetermined control approaches
K. Fukagata
2024 Australasian Fluid Mechanics Seminar Series #5,
2024.04,Oral presentation (invited, special)
Research Projects of Competitive Funds, etc. 【 Display / hide 】
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Creation and implementation of an innovative flow control paradigm utilizing machine learning
2021.07-2026.03Grant-in-Aid for Scientific Research, 基盤研究(S), Research grant, Principal investigator
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境界層制御による航空機の抵抗低減に関する研究
2020.09-2021.02国立研究開発法人宇宙航空研究開発機構, Commissioned ｒesearch, Principal investigator
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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
2020.04-2024.03日本学術振興会, 科学研究費助成事業, 基盤研究(A), Research grant, Coinvestigator(s)
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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
2019.05-2021.02自動車用内燃機関技術研究組合（AICE）, Joint research, Coinvestigator(s)
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ナノ秒詳細数値シミュレーションによる点火プラグの放電現象の解明
2019.04-2020.03自動車用内燃機関技術研究組合（AICE）, Joint research, Principal investigator
Intellectual Property Rights, etc. 【 Display / hide 】
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Date applied： 2018-029486 2018.02
Date announced： 2019-142385 2019.08
Date issued： 7012226 2022.01
Date registered： 2022.01
Patent, Joint
Awards 【 Display / hide 】
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日本機械学会流体工学部門 一般表彰（貢献表彰）
2023.07
Type of Award： Award from Japanese society, conference, symposium, etc.
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日本機械学会賞（論文）
難波江 佑介, 深潟 康二 , 2023.04
Type of Award： Award from Japanese society, conference, symposium, etc.
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日本機械学会熱工学部門 貢献表彰
2020.10
Type of Award： Award from Japanese society, conference, symposium, etc.
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日本機械学会熱工学部門 講演論文表彰（PRTEC2019）
2020.10
Type of Award： Award from international society, conference, symposium, etc.
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JACM Fellows Award
2019.12, 日本計算力学連合
Type of Award： Award from Japanese society, conference, symposium, etc.
Courses Taught 【 Display / hide 】
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PROJECT LABORATORY IN MECHANICAL ENGINEERING
2024
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INTERNSHIP D(GLOBAL ENVIRONMENTAL SYSTEM LEADERS PROGRAM)
2024
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INTERNSHIP C(GLOBAL ENVIRONMENTAL SYSTEM LEADERS PROGRAM)
2024
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INTERNSHIP B(GLOBAL ENVIRONMENTAL SYSTEM LEADERS PROGRAM)
2024
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INTERNSHIP A(GLOBAL ENVIRONMENTAL SYSTEM LEADERS PROGRAM)
2024
Memberships in Academic Societies 【 Display / hide 】
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The Japanese Society for Artificial Intelligence,
2021.05-Present -
日本伝熱学会（HTSJ）,
2019.10-Present -
American Institute of Aeronautics and Astronautics (AIAA),
2018.04-Present -
European Research Communities on Flow, Turbulence and Combustion (ERCOFTAC),
2018.03-Present -
European Mechanics Society (EUROMECH),
2014.04-2016.06
Committee Experiences 【 Display / hide 】
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2024.06-Present
Scientific Committee Member, 1st International Symposium on AI and Fluid Mechanics (AIFLUIDs)
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2024.04-2026.03
Director, Japan Society of Fluid Mechanics
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2024.04-2025.03
副部門長, 日本機械学会 流体工学部門
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2023.10-Present
創発アドバイザー, JST創発的研究支援事業 塩見(淳)パネル
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2023.07-2023.08
Local Advisory Committee Member, The International Congress of Theoretical and Applied Mechanics (ICTAM 2024)