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Kai Fukami Research Group






[Japanese page]

Kai Fukami, Ph.D.

Associate Professor, Department of Aerospace Engineering, Tohoku University

(Adjunct Faculty, Institute of Fluid Science, Tohoku University)

Links: Google Scholar, ResearchGate, ORCID, LinkedIn, researchmap (English, Japanese), X, CV, Scopus, Tohoku Univ, Elsevier Pure 

Ph.D. (Feb 2024), UCLA; M. Eng. (Sep 2020), B. Eng. (Mar 2018), Keio University

Keywords: Turbulence, Fluid Dynamics, Aerodynamics, Machine Learning, Data Science, Network Theory

Recent Research Topics:

  1. Generalized super-resolution analysis for spatiotemporal flow reconstruction from sparse sensors

  2. Low-rank manifold identification for unsteady flow modeling

  3. Network and causality-based analysis of vortical interactions 

  4. Interdisciplinary unsteady flow analysis through nonlinear machine-learning-based coordinate transformation 

  5. Computational, experimental, and theoretical fluid flow data fusion

Contact: kfukami1 (at) tohoku.ac.jp

Birthday: Aug 28, 1995 (Age: 30)

Education

  • Ph.D., UCLA (Feb 2024), Mechanical and Aerospace Engineering

    • Advisor: Professor Kunihiko Taira

    • Major: Fluid Mechanics, Minor 1: Data Science and Machine Learning, Minor 2: Systems and Control

    • Thesis: Data-Driven Modeling and Control of Extreme Aerodynamic Flows: Super Resolution, Manifold Identification, and Phase-Amplitude Reduction [PDF] [Slides]

      • Committee Members: Kunihiko Taira (Chair, UCLA), Jeff Eldredge (UCLA), Mitchell Spearrin (UCLA), Jacob Bortnik (UCLA), and Steven L. Brunton (Univ. Washington) 

      • Outstanding Ph.D. Degree Award in the Mechanical and Aerospace Engineering Department at UCLA

  • M. Eng., Keio University (Sep 2020), Science for Open and Environmental System

    • Advisor: Professor Koji Fukagata

    • Major: Applied and Computational Mechanics, Minor 1: Space and Environment Design Engineering, Minor 2: Science of Environment and Energy

    • Thesis: Space-Time Data Recovery of Fluid Flows using Machine Learning Based Super Resolution

      • Best Graduate Research Award (Fujiwara Award)

  • B. Eng., Keio University (Mar 2018), Mechanical Engineering 

    • Advisor: Professor Koji Fukagata

    • Thesis: Proposal of a Turbulent Inflow Generator using Machine Learning

      • Best Bachelor Thesis Presentation Award

Appointments

  • Jan 2025 - Present, Associate Professor (Aerospace Engineering), Tohoku University

  • Apr 2025 - Present, Adjunct Professor (Institute of Fluid Science), Tohoku University

  • Mar 2024 - Dec 2024, Postdoctoral Research Associate, UCLA

  • Sep 2020 - Feb 2024, Graduate Research Assistant (Ph.D. student), UCLA

  • Sep 2020 - Aug 2021, Visiting Researcher, Keio University

  • Apr 2018 - Sep 2020, Graduate Research Assistant (Master student), Keio University

  • Jan 2019 - Aug 2019, Visiting Research Student, UCLA

  • Aug 2018 - Dec 2018, Visiting Research Student, Florida State University

  • Apr 2017 - Mar 2018, Undergraduate Research Assistant, Keio University

Awards/Scholarships

  1. 2024 Outstanding Reviewer of Journal of Fluid Mechanics, Aug 2025 [Tohoku Mech] [Paper]

  2. USNC/TAM National Academy of Sciences Travel Fellowship (ICTAM2024), Jun 2024

  3. UCLA Mechanical and Aerospace Engineering Department Outstanding Ph.D. Degree Award [Picture1] [Picture2] [link]

  4. Amazon Fellow 2022: scholarship by the Science Hub for Humanity and Artificial Intelligence organized by UCLA and Amazon [UCLA] [Amazon]

  5. International Congress of Theoretical and Applied Mechanics Grant, ICTAM 2020+1, Aug 2021.

  6. Fujiwara Award (Best Graduate Research Award at Keio Univ.), Fujiwara Scholarship Foundation, Mar 2021.

  7. Certificate of Merit for Thermal Engineering Best Paper in 2nd Pacific Rim Thermal Engineering Conference, (K. Fukami, Y. Nabae, K. Kawai, and K. Fukagata), Oct 2020. 

  8. Keio University and Graduate school Shinzo-Koizumi scholarship 2020

  9. Best Presentation Award, 17th Workshop on Turbulence Control, Tokyo, Japan, Nov 2019.

  10. JSME Fluids Engineering Excellent Presentation Certificate of Merit, Nov 2019.

  11. Best Bachelor Thesis Presentation Award, Keio University, Mar 2018.

  12. Best Presentation Award, 12th Workshop on Turbulence Control, Tokyo, Japan, Jan 2018. 

  13. Outstanding Performance Award of Independent Studies in Mechanical Engineering, Keio University, Mar 2016.

Membership

  1. Japan Society of Mechanical Engineers

  2. American Institute of Aeronautics and Astronautics

  3. American Physics Society

  4. Society for Industrial and Applied Mathematics

  5. Japan Society of Fluid Mechanics

Organizer/Comittee

  1. JSME subcommittee: Advanced measurements, simulations, and data science for digital twin in thermal and fluid engineering and their industrial applications (a research member)

  2. JK-FLOW (Japan and Korea Fluid Mechanics Online Workshop)

Organizers: K. Fukami (Tohoku Univ.), S. Lee (Inha Univ.), A. Sciazko (Univ. Tokyo), J. Jeon (POSTECH), and H. Kim (Korea Univ.)

  1. IUTAM Symposium, GA22-04: Machine Learning in Diverse Fluid Mechanics (a local executive committee member), May 2025

  2. 3rd Data-Driven Fluid Dynamics Workshop, Mar 2025

Organizers: K. Taira (UCLA), T. Nonomura (Nagoya Univ.), K. Fukami (Tohoku Univ.), K. Fujii (Tokyo Univ. Sci.), K. Fukagata (Keio Univ.), S. L. Brunton (Univ. Washington), and M. Hemati (Univ. Minnesota)

  1. SIAM Conference on Computational Science and Engineering (CSE23), Mini-symposium ``Reduced-complexity models for fluid flows," Mar 2023

Organizers: K. Fukami (UCLA), S. T. M. Dawson (Illinois Tech.), and K. Taira (UCLA)

  1. SIAM Conference on Mathematics of Data Science (MDS22), Mini-symposium ``Data-driven analysis and modeling of unsteady flows," Sep 2022

Organizers: K. Fukami (UCLA), M. Hickner (Univ. of Washington), K. Taira (UCLA), and S. L. Brunton (Univ. of Washington)

Comittee at Tohoku University 

  1. Working group on Design and Drawing II in the Division of Mechanical Engineering at Tohoku University (Apr 2025 - Present)

  2. Public relations committee in the Division of Mechanical Engineering at Tohoku University (Apr 2025 - Present)

Grants and Contracts

Japan Society for the Promotion of Science (JSPS)

  1. [Active] Grant-in-Aid for Research Activity Start-up, “Designing super-quick control strategies of unsteady flows based on nonlinear phase-amplitude machine learning," Number 25K23418 [Project Achievements]

    • PI, 2025/7/31-2027/3/31, ¥ 2,600,000

Ministry of Education, Culture, Sports, Science and Technology (MEXT)

  1. [Active] MEXT Coordination Funds for Promoting AeroSpace Utilization, “Japan-originated compactification project for nonlinear aerodynamic phenomena with an ultra-high degree of freedom," Number J000959 [Project Achievements]

    • PI, 2025/10/1-2028/3/31, ¥ 40,400,000

Japan Science and Technology Agency (JST)

  1. [Active] JST PRESTO, “Establishing a low-rank manifold village toward mathematic prediction and control of unsteady flows," Number AAAAAA  [Project Achievements]

    • PI, 2025/10/1-2029/3/31, ¥ 39,000,000

Referee

Publications

  1. Acta Mechanica Sinica

  2. Advances in Applied Mathematics and Mechanics

  3. Aerospace Science and Technology

  4. AIAA Journal

  5. AIMS Mathematics

  6. AIP Advances

  7. Annals of the New York Academy of Sciences

  8. APL Machine Learning

  9. Archives of Computational Methods in Engineering

  10. Building and Environment

  11. Chaos, Solitons and Fractals

  12. Chemical Engineering Science

  13. Cogent Engineering

  14. Communications Engineering

  15. Communications in Computational Physics

  16. Computational Intelligence and Neuroscience

  17. Computer Methods in Applied Mechanics and Engineering

  18. Computer Physics Communications

  19. Computers and Fluids

  20. Data-Centric Engineering

  21. Electronics Letters

  22. Engineering Applications of Artificial Intelligence

  23. Engineering Applications of Computational Fluid Mechanics

  24. Engineering Computations

  25. Engineering with Computers

  26. European Journal of Mechanics / B Fluids

  27. Experimental Thermal and Fluid Science

  28. Flow, Turbulence and Combustion

  29. Frontiers in Physics

  30. Frontiers of Information Technology & Electronic Engineering

  31. Geo-spatial Information Science

  32. IEEE Access

  33. IEEE Control Systems Letters

  34. IEEE Transactions on Energy Conversion

  35. IEEE Transactions on Geoscience and Remote Sensing

  36. IEEE Photonics Journal

  37. IET Image Processing

  38. IET Signal Processing

  39. Imaging Science Journal

  40. International Journal of Aeroacoustics

  41. International Journal of Aerospace Engineering

  42. International Journal of Computational Fluid Dynamics

  43. International Journal of Computational Methods

  44. International Journal of Heat and Fluid Flow

  45. International Journal of Heat and Mass Transfer

  46. International Journal for Numerical Methods in Fluids

  47. International Journal of Machine Learning and Cybernetics

  48. International Journal of Production Research

  49. Journal of Aerospace Information Systems

  50. Journal of Applied Fluid Mechanics

  51. Journal of Chemometrics

  52. Journal of Computational Design and Engineering

  53. Journal of Computational Physics

  54. Journal of Computing and Information Science in Engineering

  55. Journal of Fluid Engineering

  56. Journal of Fluid Mechanics

  57. Journal of Marine Science and Application

  58. Journal of the Physical Society of Japan

  59. Journal of Turbulence

  60. Journal of Zhejiang University-SCIENCE A

  61. Mechanical Systems and Signal Processing

  62. Nature Communications

  63. Nature Computational Science

  64. Nature Machine Intelligence

  65. Nonlinear Dynamics

  66. Nuclear Science and Techniques

  67. Numerical Heat Transfer, Part B: Fundamentals

  68. Ocean Engineering

  69. Part G: Journal of Aerospace Engineering

  70. Peer J Computer Science

  71. Petroleum Science and Technology

  72. Physica D: Nonlinear Phenomena

  73. Physical Review Fluids

  74. Physical Review Letters

  75. Physics of Fluids

  76. Proceedings of the Royal Society A

  77. Scientific Reports

  78. Soft Computing

  79. Theoretical and Computational Fluid Dynamics

  80. Wind Energy


Conferences

  1. 2019 International Conference on Artificial Intelligence, Information Processing and Cloud Computing (AIIPCC2019)

  2. 3rd International Conference on Material Strength and Applied Mechanics (MSAM 2020)

  3. NeurIPS 2021 workshop on Machine Learning and the Physical Sciences

  4. NeurIPS 2022 workshop on Machine Learning and the Physical Sciences

  5. NeurIPS 2023 workshop on Machine Learning and the Physical Sciences

  6. ICML 2023 workshop on Synergy of Scientific and Machine Learning Modeling

  7. NeurIPS 2024 workshop on Machine Learning and the Physical Sciences

  8. NeurIPS 2025 workshop on Machine Learning and the Physical Sciences

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