Fukagata, Koji

写真a

Affiliation

Faculty of Science and Technology, Department of Mechanical Engineering (Yagami)

Position

Professor

E-mail Address

E-mail address

Related Websites

External Links

Profile Summary 【 Display / hide

  • 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

  • 2000.10
    -
    2001.03

    Agency of Industrial Science and Technology, Mechanical Engineering Laboratory, Postdoctoral Fellow (SMART Project)

  • 2001.04
    -
    2003.03

    National Institute of Advanced Industrial Science and Technology, Energy Technology Research Institute, Postdoctoral Fellow (SMART Project)

  • 2003.04
    -
    2007.03

    The University of Tokyo, Graduate School of Engineering, Research Associate

  • 2007.04
    -
    2011.03

    Keio University, Faculty of Science and Technology, Assistant Professor

  • 2011.04
    -
    2015.03

    Keio University, Faculty of Science and Technology, Associate Professor

display all >>

Academic Background 【 Display / hide

  • 2000.09

    The University of Tokyo, Graduate School, Division of Engineering, Departmemt of Quantum Engineering and Systems Science

    Graduate School, Completed, Doctoral course

  • 2000.04

    Kungliga Tekniska Högskolan, Faculty of Engineering Physics, Department of Mechanics

    Sweden, Graduate School, Completed, Doctoral course

  • 1994.03

    The University of Tokyo, Faculty of Engineering, Department of Quantum Engineering and Systems Science

    University, Graduated

Academic Degrees 【 Display / hide

  • PhD (Engineering), The University of Tokyo, Coursework, 2000.09

  • TeknD, Kungliga Tekniska Högskolan (KTH), Coursework, 2000.04

  • TeknL, Kungliga Tekniska Högskokan, Coursework, 1997.06

Licenses and Qualifications 【 Display / hide

  • JSME-Certified Computational Mechanics Engineer, Senior Analyst, 2010.02

 

Research Areas 【 Display / hide

  • Fluid engineering (Fluids Engineering)

  • Thermal engineering

  • Dynamics/Control

  • Intelligent informatics

Research Themes 【 Display / hide

  • 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

  • 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

     View Summary

    乱流構造規範型制御、最適制御、準最適制御など、乱流制御のための様々なフィードバック制御について解説した。

  • 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

     View Summary

    第10章“The FIK identity and its implication for turbulent skin friction control” (pp. 297-324)を担当。レイノルズせん断応力と摩擦抵抗の間に成り立つ恒等式(FIK恒等式)の導出過程の詳細と乱流制御研究への応用例について解説した。

Papers 【 Display / hide

  • Applying Bayesian optimization with Gaussian process regression to computational fluid dynamics problems

    Y. Morita, S. Rezaeiravesh, N. Tabatabaei, R. Vinuesa, K. Fukagata, and P. Schlatter

    J. Comput. Phys. 449   110788 2022.01

    Research paper (scientific journal), Joint Work, Accepted

  • Drag reduction by uniform blowing on the pressure surface of an airfoil

    S. Miura, M. Ohashi, K. Fukagata, and N. Tokugawa

    AIAA J.  2021.11

    Research paper (scientific journal), Joint Work, Accepted

  • Generalization techniques of neural networks for fluid flow estimation

    M. Morimoto, K. Fukami, K. Zhang, and K. Fukagata

    Neural Comput. Appl.  2021.11

    Research paper (scientific journal), Joint Work, Accepted

  • Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning

    K. Fukami, R. Maulik, N. Ramachandra, K. Fukagata, and K. Taira

    Nat. Mach. Intell. 3   945 - 951 2021.10

    Research paper (scientific journal), Joint Work, Accepted

  • The effect of a high-flow nasal cannula on oxygen concentration at the surgical site: A pilot study

    H. Seki, K. Fukagata, S. Ito, R. Okada, and T. Ouchi

    Br. J. Anaesth. 127   E192 - E195 2021.09

    Research paper (scientific journal), Joint Work, Accepted

display all >>

Papers, etc., Registered in KOARA 【 Display / hide

Reviews, Commentaries, etc. 【 Display / hide

  • 機械学習縮約モデルを用いた革新的流れ制御に向けて

    深潟 康二,深見 開

    伝熱 60 ( 253 ) 12 - 15 2021.10

    Introduction and explanation (scientific journal), Joint Work

  • 機械学習の乱流への応用

    深潟 康二

    日本機械学会誌 124 ( 1232 ) 10 - 13 2021.07

    Introduction and explanation (scientific journal), Single Work

  • Turbulent friction drag reduction: From feedback to predetermined, and feedback again

    K. Fukagata

    In: Braza M., Hoarau Y., Zhou Y., Lucey A.D., Huang L., Stavroulakis G.E. (eds) Fluid-Structure-Sound Interactions and Control. FSSIC 2019. Lecture Notes in Mechanical Engineering (Springer, Singapore)   2021.05

    Introduction and explanation (international conference proceedings), Single Work

  • 階層型CNNオートエンコーダを用いた流れ場の非線形モードの抽出

    中村 太一,深見 開,深潟 康二

    ながれ 39   316 - 319 2020.12

    Introduction and explanation (scientific journal), Joint Work

  • 数値感度実験による線状降水帯の可制御性解析

    肥留間 大輔,大西 領,深潟 康二,高橋 桂子

    ながれ 39   324 - 327 2020.12

    Introduction and explanation (scientific journal), Joint Work

display all >>

Presentations 【 Display / hide

  • Clues for Noise Robustness of State Estimation: Error-curve Quest of Neural Network and Linear Regression

    T. Nakamura, K. Fukami, and K. Fukagata

    The Ninth International Conference on Learning Representations (ILCR 2021), 2021.05, Oral Presentation(general)

  • Supervised convolutional networks for volumetric data enrichment from limited sectional data with adaptive super resolution

    M. Matsuo, K. Fukami, T. Nakamura, M. Morimoto, and K. Fukagata

    The Ninth International Conference on Learning Representations (ILCR 2021), 2021.05, Oral Presentation(general)

  • Voronoi tessellation-assisted convolutional neural network for flow field reconstruction from sparse sensors

    K. Fukami, R. Maulik, N. Ramachandra, K. Fukagata, K. Taira

    14th Southern California Flow Physics Symposium (SoCal Fluids XIV), 2021.04, Oral Presentation(general)

  • Utilization of autoencoder-based nonlinear manifolds for fluid flow forecasts driven with long short-term memory

    T. Nakamura, K. Fukami, K. Hasegawa, Y. Nabae, and K. Fukagata

    DataLearning Working Group Seminar, Imperial College London, 2021.03, Public discourse, seminar, tutorial, course, lecture and others

  • 機械学習を用いた乱流の状態推定:入力ノイズに対するロバスト性

    中村 太一,深見 開,深潟 康二

    日本機械学会関東支部第27期総会・講演会, 2021.03, Oral Presentation(general)

display all >>

Research Projects of Competitive Funds, etc. 【 Display / hide

  • Creation and implementation of an innovative flow control paradigm utilizing machine learning

    2021.07
    -
    2026.03

    Grant-in-Aid for Scientific Research, 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

    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

  • 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, 奥田知明, Research grant, Co-investigator

  • 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, Co-investigator

  • 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

display all >>

Intellectual Property Rights, etc. 【 Display / hide

  • 気流制御装置、航空機及び気流制御方法

    Application No.: 2018-029486  2018.02 

    Announcement No.: 2019-142385  2019.08 

    Patent, Joint

Awards 【 Display / hide

  • 日本機械学会熱工学部門 貢献表彰

    2020.10

    Type of Award: Awards of National Conference, Council and Symposium

  • 日本機械学会熱工学部門 講演論文表彰(PRTEC2019)

    2020.10

    Type of Award: Awards of International Conference, Council and Symposium

  • JACM Fellows Award

    2019.12, 日本計算力学連合

    Type of Award: Awards of National Conference, Council and Symposium

  • COMSOL Conference 2019 Tokyo 優秀口述講演者賞

    2019.12, COMSOL AB

    Type of Award: Awards of National Conference, Council and Symposium

  • 日本機械学会熱工学部門 一般表彰(貢献表彰)

    2018.10

display all >>

 

Courses Taught 【 Display / hide

  • SUB-MAJOR RESEARCH(GLOBAL ENVIRONMENTAL SYSTEM LEADERS PROGRAM)

    2021

  • PROJECT LABORATORY IN MECHANICAL ENGINEERING

    2021

  • LARGE-SCALE ENVIRONMENTAL SYSTEMS

    2021

  • INTERNSHIP D(GLOBAL ENVIRONMENTAL SYSTEM LEADERS PROGRAM)

    2021

  • INTERNSHIP C(GLOBAL ENVIRONMENTAL SYSTEM LEADERS PROGRAM)

    2021

display all >>

 

Memberships in Academic Societies 【 Display / hide

  • 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

display all >>

Committee Experiences 【 Display / hide

  • 2021.04
    -
    Present

    リーダ, 日本機械学会 計算力学技術者資格認定専門委員会 熱流体力学分野

  • 2021.04
    -
    Present

    領域アドバイザー, JSTさきがけ「複雑な流動・輸送現象の解明・予測・制御に向けた新しい流体科学」

  • 2021.03
    -
    Present

    委員, 日本機械学会 経営企画委員会 情報化のためのWG

  • 2020.12
    -
    Present

    委員長, 日本流体力学会 第36回数値流体力学シンポジウム実行委員会

  • 2020.11
    -
    Present

    オーガナイザ, 日本機械学会 年次大会 OS「機械学習✕機械工学の最先端」

display all >>