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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
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
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
Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression
M. Morimoto, K. Fukami, R. Maulik, R. Vinuesa, and K. Fukagata
Physica D 440 133454 2022.07
Research paper (scientific journal), Joint Work, Last author, Accepted
Drag reduction effect of streamwise traveling wave-like wall deformation with spanwise displacement variation in turbulent channel flow
Y. Nabae and K. Fukagata
Flow Turbul. Combust. 109 1175 - 1194 2022.06
Research paper (scientific journal), Joint Work, Last author, Accepted
Robust training approach of neural networks for fluid flow state estimations
T. Nakamura and K. Fukagata
Int. J. Heat Fluid Flow 96 108997 2022.05
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
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
Reduced order modeling of fluid flows using convolutional neural networks
K. Fukagata
J. Fluid Sci. Technol. 18 ( 1 ) JFST0002 2023.04
Article, review, commentary, editorial, etc. (scientific journal), Single Work
畳み込みニューラルネットワークを用いた流体場の低次元化と欠損情報推定
深潟 康二
日本風工学会誌 47 ( 3 ) 215 - 229 2022.07
Single Work, Lead author, Last author, Corresponding author
基礎的な流れ場に対する機械学習の応用
深潟 康二
日本ガスタービン学会誌 50 ( 3 ) 179 - 184 2022.06
Single Work, Lead author, Last author, Corresponding author
Model-form uncertainty quantification in neural-network-based fluid-flow estimation
M. Morimoto, K. Fukami, R. Maulik, R. Vinuesa, and K. Fukagata
Nagare - J. Jpn. Soc. Fluid Mech. 41 ( 2 ) 89 - 92 2022.04
Article, review, commentary, editorial, etc. (scientific journal), Joint Work, Last author
オートエンコーダを用いた最小限の非線形性を有する線形システム抽出法の開発
石瀬 健,大道 浩志,深潟 康二
第37回数値流体力学シンポジウム,
Oral presentation (general)
流れの量子コンピューティングに向けたイジングマシンへのチェビシェフ・スペクトル法の実装
髙木 謙一郎,千田 晃,守矢 直樹,青木 汐里,遠藤 克浩,村松 眞由,深潟 康二
第37回数値流体力学シンポジウム,
Oral presentation (general)
チャネル乱流における残差学習 : データ駆動型SGSモデルの構築に向けて
佐伯 龍飛,後藤 陸,三浦 怜之,深潟 康二
第37回数値流体力学シンポジウム,
Oral presentation (general)
半教師あり学習による浮動センサからの状態推定
三浦 怜之,深潟 康二
第37回数値流体力学シンポジウム,
Oral presentation (general)
チャネル乱流におけるスパン方向への位相変化を伴う主流方向進行波状壁面変形の抵抗低減効果
大石 恭平,難波江 佑介,深潟 康二
第37回数値流体力学シンポジウム,
Oral presentation (general)
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.
APPLICATION OF COMPUTER SIMULATION
2024
APPLIED FLUID MECHANICS
2024
PROJECT LABORATORY IN MECHANICAL ENGINEERING
2024
INTERNSHIP D(GLOBAL ENVIRONMENTAL SYSTEM LEADERS PROGRAM)
2024
INTERNSHIP C(GLOBAL ENVIRONMENTAL SYSTEM LEADERS PROGRAM)
2024
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),
創発アドバイザー, JST創発的研究支援事業 塩見(淳)パネル
委員, 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
リサーチフェロー, 東京大学生産技術研究所
委員長, 日本機械学会 流体工学部門 技術委員会
委員, 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)