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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
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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
Direct numerical simulation of a bump-installed turbulent channel flow for drag reduction by blowing and suction
Y. Okochi, Y. Nabae, and K. Fukagata
J. Fluid Mech. 1010 A69 2025.05
Research paper (scientific journal), Joint Work, Last author, Accepted
Large-eddy simulation of high-Reynolds-number turbulent channel flow controlled using streamwise traveling wave-like wall deformation for drag reduction
Y. Nabae, K. Inagaki, H. Kobayashi, H. Gotoda, and K. Fukagata
J. Fluid Mech. 1003 A2 2025.01
Research paper (scientific journal), Joint Work, Last author, Accepted
Reinforcement learning with symmetry reduction for rotating cylinder wakes: finding unstable low-drag fixed points
H. Omichi, A. J. Linot, K. Fukagata, and K. Taira
AIAA Paper AIAA 2025-1299 2025.01
Research paper (international conference proceedings), Joint Work, Accepted
Defiltering turbulent flow fields for Lagrangian particle tracking using machine learning techniques
T. Oura and K. Fukagata
Phys. Fluids 36 113366 2024.11
Research paper (scientific journal), Joint Work, Last author, Accepted
Implementation of spectral methods on Ising machines: toward flow simulations on quantum annealers
K. Takagi, N. Moriya, S. Aoki, K. Endo, M. Muramatsu, and K. Fukagata
Fluid Dyn. Res. 56 061401 2024.11
Research paper (scientific journal), Joint Work, Last author, Corresponding author, Accepted
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
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
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
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)
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
Applications of autoencoders in fluid mechanics problems
K. Fukagata
IUTAM Symposium on Machine Learning in Diverse Fluid Mechanics,
Oral presentation (invited, special)
壁面加熱・冷却と主流方向進行波を組み合わせた流れの制御戦略の提案
難波江 佑介,守 裕也,深潟 康二
第62回日本伝熱シンポジウム,
Oral presentation (general)
Wind-tunnel experiment of drag reduction with uniform blowing and suction on an airfoil
S. Miura and K. Fukagata
The 1st Imperial-Keio Joint Workshop on Applied Mathematics and Engineering,
Poster presentation
Flow field reconstruction using floating sensors
K. Fukagata, T. Oura, and R. Miura,
3rd Workshop on Data-Driven Fluid Dynamics,
Oral presentation (invited, special)
量子アニーラを用いた移流拡散方程式求解の試み
深潟 康二
ワークショップ:力学の再構築(流体力学分野),
Oral presentation (invited, special)
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
境界層制御による航空機の抵抗低減に関する研究
国立研究開発法人宇宙航空研究開発機構, Commissioned research, Principal investigator
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
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)
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
自動車用内燃機関技術研究組合(AICE), Joint research, Coinvestigator(s)
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
自動車用内燃機関技術研究組合(AICE), Joint research, Principal investigator
Date applied: 2018-029486 2018.02
Date announced: 2019-142385 2019.08
Date issued: 7012226 2022.01
Date registered: 2022.01
Patent, Joint
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.
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.
JACM Fellows Award
2019.12, 日本計算力学連合
Type of Award: Award from Japanese society, conference, symposium, etc.
PROJECT LABORATORY IN MECHANICAL ENGINEERING
2025
INTERNSHIP D(GLOBAL ENVIRONMENTAL SYSTEM LEADERS PROGRAM)
2025
INTERNSHIP C(GLOBAL ENVIRONMENTAL SYSTEM LEADERS PROGRAM)
2025
INTERNSHIP B(GLOBAL ENVIRONMENTAL SYSTEM LEADERS PROGRAM)
2025
INTERNSHIP A(GLOBAL ENVIRONMENTAL SYSTEM LEADERS PROGRAM)
2025
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),
委員, 日本機械学会 RC304 熱流体工学におけるデジタルツインのための先端的計測・シミュレーション・データ科学とその産業応用に関する研究分科会
副部門長, 日本機械学会 計算力学部門
部門長, 日本機械学会 流体工学部門
Executive Committee Member, International Symposia on Turbulence and Shear Flow Phenomena (TSFP)
委員, 日本機械学会 人材育成・活躍支援委員会 技術者教育企画小委員会