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

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

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

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

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

6. 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. 

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

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

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

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

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

12. 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 (Jeonbuk Natl. Univ.), and H. Kim (Korea Univ.)

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

4. 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)

5. 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)

6. 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)

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. Building and Environment

10. Chaos, Solitons and Fractals

11. Cogent Engineering

12. Communications Engineering

13. Communications in Computational Physics

14. Computational Intelligence and Neuroscience

15. Computer Methods in Applied Mechanics and Engineering

16. Computer Physics Communications

17. Computers and Fluids

18. Data-Centric Engineering

19. Electronics Letters

20. Engineering Applications of Artificial Intelligence

21. Engineering Applications of Computational Fluid Mechanics

22. Engineering Computations

23. Engineering with Computers

24. European Journal of Mechanics / B Fluids

25. Experimental Thermal and Fluid Science

26. Flow, Turbulence and Combustion

27. Frontiers in Physics

28. Geo-spatial Information Science

29. IEEE Access

30. IEEE Control Systems Letters

31. IEEE Transactions on Energy Conversion

32. IEEE Transactions on Geoscience and Remote Sensing

33. IEEE Photonics Journal

34. IET Image Processing

35. IET Signal Processing

36. Imaging Science Journal

37. International Journal of Aerospace Engineering

38. International Journal of Computational Fluid Dynamics

39. International Journal of Computational Methods

40. International Journal of Heat and Fluid Flow

41. International Journal of Heat and Mass Transfer

42. International Journal for Numerical Methods in Fluids

43. International Journal of Machine Learning and Cybernetics

44. International Journal of Production Research

45. Journal of Applied Fluid Mechanics

46. Journal of Chemometrics

47. Journal of Computational Design and Engineering

48. Journal of Computational Physics

49. Journal of Computing and Information Science in Engineering

50. Journal of Fluid Engineering

51. Journal of Fluid Mechanics

52. Journal of Marine Science and Application

53. Journal of the Physical Society of Japan

54. Journal of Turbulence

55. Journal of Zhejiang University-SCIENCE A

56. Mechanical Systems and Signal Processing

57. Nature Communications

58. Nature Computational Science

59. Nature Machine Intelligence

60. Nonlinear Dynamics

61. Nuclear Science and Techniques

62. Numerical Heat Transfer, Part B: Fundamentals

63. Ocean Engineering

64. Part G: Journal of Aerospace Engineering

65. Peer J Computer Science

66. Petroleum Science and Technology

67. Physica D: Nonlinear Phenomena

68. Physical Review Fluids

69. Physical Review Letters

70. Physics of Fluids

71. Proceedings of the Royal Society A

72. Scientific Reports

73. Soft Computing

74. Theoretical and Computational Fluid Dynamics

75. 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