学歴

• Ph.D., UCLA (2024年2月), Mechanical and Aerospace Engineering

  • 指導教員: 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 (UCLA 機械航空宇宙工学科首席Ph.D. 賞)

• 修士, 慶應義塾大学 (2020年9月), 大学院理工学研究科, 開放環境科学専攻

  • 指導教員: 深潟 康二教授

  • 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 (藤原賞)

• 学士, 慶應義塾大学 (2018年3月), 理工学部, 機械工学科

  • 指導教員: 深潟 康二教授

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

    • Best Bachelor Thesis Presentation Award

研究経歴

• 2025年1月 - Present, 東北大学 大学院工学研究科 航空宇宙工学専攻 准教授

• 2025年4月 - Present, 東北大学 流体科学研究所 兼務教員

• 2024年3月 - 2024年12月, UCLA Postdoctoral 研究員

• 2020年9月 - 2024年2月, UCLA Ph.D. 生研究員

• 2020年9月 - 2021年8月, 慶應義塾大学 訪問研究員

• 2018年4月 - 2020年9月, 慶應義塾大学 修士生研究員

• 2019年1月 - 2019年8月, UCLA 訪問研究員

• 2018年8月 - 2018年12月, フロリダ州立大学 訪問研究員

• 2017年4月 - 2018年3月, 慶應義塾大学 学部生研究員

受賞・奨学金

1. USNC/TAM National Academy of Sciences Travel Fellowship (ICTAM2024), 2024年6月

2. UCLA Mechanical and Aerospace Engineering Department Outstanding Ph.D. Degree Award [Picture1] [Picture2] [link], 2024年4月

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, 2021年8月

5. 藤原賞 (Best Graduate Research Award at Keio Univ.), Fujiwara Scholarship Foundation, 2021年3月

6. 日本機械学会熱工学部門 講演論文表彰 in 2nd Pacific Rim Thermal Engineering Conference, (深見 開, 難波江佑介, 河合 謙, 深潟 康二), 2020年10月 

7. 慶應義塾大学小泉信三奨学金 2020

8. 第17回乱流制御研究会 最優秀賞, 2019年11月

9. 日本機械学会流体工学部門 優秀講演表彰 (日本機械学会第97期流体工学部門講演会), 2019年11月

10. 慶應義塾大学理工学部機械工学科 卒業研究優秀発表賞, 2018年3月

11. 第12回乱流制御研究会 最優秀賞, 2018年1月

12. 慶應義塾大学機械工学創造演習優秀賞, Twitterによる``SMART HOME”の実現, 2016年3月

所属学会

1. 日本機械学会

2. American Institute of Aeronautics and Astronautics

3. American Physics Society

4. Society for Industrial and Applied Mathematics

5. 日本流体力学会

学術貢献活動

1. 日本機械学会研究分科会: 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, 研究者委員

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)

委員会活動@東北大学

1. 計画及び製図 II 実施ワーキンググループ委員 (2025年4月 - Present)

2. 機械系広報推進室委員 (2025年4月 - Present)

査読

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