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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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E-mail Address
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Related Websites
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External Links
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Fukagata, Koji
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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.
Agency of Industrial Science and Technology, Mechanical Engineering Laboratory, Postdoctoral Fellow (SMART Project)
National Institute of Advanced Industrial Science and Technology, Energy Technology Research Institute, Postdoctoral Fellow (SMART Project)
The University of Tokyo, Graduate School of Engineering, Research Associate
Keio University, Faculty of Science and Technology, Assistant Professor
Keio University, Faculty of Science and Technology, Associate Professor
The University of Tokyo, Graduate School, Division of Engineering, Departmemt of Quantum Engineering and Systems Science
Graduate School, Completed, Doctoral course
Kungliga Tekniska Högskolan, Faculty of Engineering Physics, Department of Mechanics
Sweden, Graduate School, Completed, Doctoral course
The University of Tokyo, Faculty of Engineering, Department of Quantum Engineering and Systems Science
University, Graduated
PhD (Engineering), The University of Tokyo, Coursework, 2000.09
TeknD, Kungliga Tekniska Högskolan (KTH), Coursework, 2000.04
TeknL, Kungliga Tekniska Högskokan, Coursework, 1997.06
JSME-Certified Computational Mechanics Engineer, Senior Analyst, 2010.02
Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Fluid engineering (Fluids Engineering)
Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Thermal engineering
Informatics / Mechanics and mechatronics
Informatics / Intelligent informatics
Fusion of fluid mechanics and machine learning,
Understanding, prediction, control and optimization of complex heat and flow phenomena,
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
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
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
Dissimilar control in a turbulent plane Couette flow by streamwise traveling wave
Y. Nabae, H. Gotoda, and K. Fukagata
Int. J. Heat Mass Transfer 261 128543 2026.06
Research paper (scientific journal), Joint Work, Last author, Accepted
Machine-learning-based defiltering for particle tracking in curved turbulent channel flow
T. Oura and K. Fukagata
AIP Adv. 16 045219 2026.04
Research paper (scientific journal), Joint Work, Last author, Accepted
Machine-learning based flow field estimation using floating sensor locations
T. Oura, R. Miura and K. Fukagata
Fluid Dyn. Res. 58 025502 2026.04
Research paper (scientific journal), Joint Work, Last author, Accepted
Drag reduction effect by streamwise traveling wave-like wall-surface heating/cooling in a turbulent channel flow
Y. Nabae, H. Mamori, and K. Fukagata
J. Therm. Sci. Technol. 20 ( 2 ) 25-00225 2025.10
Research paper (scientific journal), Joint Work, Last author, Accepted
Compressing fluid flows with nonlinear machine learning: mode decomposition, latent modeling, and flow control
K. Fukagata and K. Fukami
Fluid Dyn. Res. 57 ( 4 ) 041401 2025.07
Joint Work, Lead author, Corresponding author, Accepted
Fukagata, Koji
科学研究費補助金研究成果報告書 2023
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
Fukagata, Kōji
科学研究費補助金研究成果報告書 2019
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
Fukagata, Koji
科学研究費補助金研究成果報告書 2011
スパン方向に位相変化させた主流方向壁面進行波による乱流抵抗低減効果
大石 恭平,三浦 千里,難波江 佑介,深潟 康二
日本機械学会流体工学部門ニュースレター 2026年3月号 2026.03
Article, review, commentary, editorial, etc. (trade magazine, newspaper, online media), Joint Work, Last author
三浦 千里,深潟 康二
日本機械学会流体工学部門ニュースレター 2026年3月号 2026.03
Article, review, commentary, editorial, etc. (trade magazine, newspaper, online media), Joint Work, Last author
深見 開,深潟 康二,平 邦彦
ながれ 44 216 - 221 2025.09
Article, review, commentary, editorial, etc. (scientific journal), Joint Work, Last author, Corresponding author
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
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
流体力学研究創発センターのご紹介および流体力学への機械学習の応用
深潟 康二
[Domestic presentation] YILオンライン講座(第5回)慶應理工研究ユニットセミナー 慶應理工の研究動向最前線#8,
Oral presentation (invited, special)
流体力学への機械学習の応用:先進的流れ制御に向けて
深潟 康二
[Domestic presentation] 京都工芸繊維大学 未来デザイン・工学機構 高性能シミュレーション研究センター 2025年度公開報告会,
Oral presentation (invited, special)
Flow control studies at Keio University
K. Fukagata
[Domestic presentation] OIST-Keio showcase talk series 10: Diverse Approaches to Fluid Dynamics,
Oral presentation (invited, special)
Time evolution prediction of three-dimensional Channel turbulent flow field using CNN and LSTM
T. Asaka, K. Yoshimatsu, and K. Fukagata
[Domestic presentation] OIST-Keio showcase talk series 10: Diverse Approaches to Fluid Dynamics,
Poster presentation
Experimental investigation of combined blowing-suction control on a Clark-Y airfoil
S. Miura and K. Fukagata
[Domestic presentation] OIST-Keio showcase talk series 10: Diverse Approaches to Fluid Dynamics,
Poster presentation
Turbulence modeling via AI-aided self-evolving simulation
Grant-in-Aid for Scientific Research, 基盤研究(S), Research grant, Principal investigator
乗用車および重量車の合成燃料利用効率の向上とその背反事象の改善に関する技術開発
自動車用内燃機関技術研究組合(AICE)/NEDO, Joint research, Coinvestigator(s)
乗用車および重量車の合成燃料利用効率の向上とその背反事象の改善に関する技術開発
自動車用内燃機関技術研究組合(AICE), Joint research, Coinvestigator(s)
Creation and implementation of an innovative flow control paradigm utilizing machine learning
Grant-in-Aid for Scientific Research, 基盤研究(S), Research grant, Principal investigator
SI燃焼および燃料による高効率・低エミッション・低損失に関する研究
自動車用内燃機関技術研究組合(AICE), Joint research, Coinvestigator(s)
Date applied: 2018-029486 2018.02
Date announced: 2019-142385 2019.08
Date issued: 7012226 2022.01
Date registered: 2022.01
Patent, Joint
The JACM Computational Mechanics Award
2025.09
Type of Award: Award from Japanese society, conference, symposium, etc.
2024 Outstanding Reviewer for Journal of Fluid Mechanics
2025.07
Type of Award: Honored in official journal of a scientific society, scientific journal
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.
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.
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.
INTRODUCTION TO FLUID MECHANICS
2026
MECHANICAL ENGINEERING PRACTICAL RESEARCH B
2026
GRADUATE RESEARCH ON ENGINEERING AND DESIGN 1
2026
PROJECT LABORATORY IN MECHANICAL ENGINEERING
2026
BACHELOR'S THESIS
2026
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),
European Mechanics Society (EUROMECH),
Director, Japan Society of Fluid Mechanics
部門長, 日本機械学会 計算力学部門
委員, 日本機械学会 流体工学部門 技術委員会 学術表彰WG
委員, 日本機械学会 会員部会
委員長, 日本機械学会 計算力学部門 総務委員会
Click to view the Scopus page. The data was downloaded from Scopus API in May 17, 2026, via http://api.elsevier.com and http://www.scopus.com .