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Welcome to Keio Univ. Fukagata Laboratory!†

Fukagata laboratory, Department of Mechanical Engineering, Keio University, is a relatively new (?) laboratory, born in 2007.

Our research interests are numerical simulation and mathematical modeling of complex heat and fluid flow phenomena including turbulent flows and 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.

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News†

2025-09-30	Award	Miura (D2) received the Best Presentation Award at 39th Inter-University Workshop on Turbulence Control.
2025-09-29		We went to a Lab camp.
2025-09-22	Out now!	K. Fukami, K. Fukagata, and K. Taira, "Super-resolution analysis of turbulence with machine learning," Nagare 44, 216-221 (2025).
2025-09-17	Highlight	Our paper on advection-diffusion simulation using quantum annealing (Takagi et al., 2024) has been selected as one of the Highlight articles 2024 of Fluid Dynamics Research.
2025-09-16		We participated in the Predident's Cup Softball Tournament🥎
2025-09-06	Award	Fukagata received The JACM Computational Mechanics Award.
2025-08-28		Omichi (M2) gave a lecture at Tohoku Univ. Aerospace Engineering 2025 Fluid Mechanics Seminar Series.
2025-08-26	Conference	Haziqah (D2) made a presentation at 2nd European Fluid Dynamics Conference (26-29 August 2025, Dublin, Ireland).
2025-07-28		Fukagata gave a keynote lecture at iTi Conference on Turbulence (27-30 July 2025, Bertinoro, Italy).
2025-07-07	Out now!	K. Fukagata and K. Fukami, "Compressing fluid flows with nonlinear machine learning: mode decomposition, latent modeling, and flow control," Fluid Dyn. Res. 57, 041401 (2025).
2025-06-17		Unfortunately, we lost in the first round of the Faculty of Science and Engineering Softball Tournament😭
2025-05-29		Fukagata gave a keynote lecture at 1st International Symposium on AI and Fluid Mechanics (27-30 May 2025, Chania, Greece).
2025-05-17		IUTAM Symposium on Machine Learning in Diverse Fluid Mechanics (15-17 May 2025, Okinawa, Japan) chaired by Fukagata has closed.
2025-05-09	Out now!	Y. Okochi, Y. Nabae, and K. Fukagata, "Direct numerical simulation of a bump-installed turbulent channel flow for drag reduction by blowing and suction," J. Fluid Mech. 1010, A69 (2025).
2025-05-02	Preprint	K. Fukagata and K. Fukami, "Compressing fluid flows with nonlinear machine learning: mode decomposition, latent modeling, and flow control," arXiv preprint, arXiv:2505.00343 [physics.flu-dyn].
2025-04-04	Award	Takarabe (B4 at that time) and Suzuki (B4 at that time) received the Best Presentation Award at 64th JSME Kanto Student Union Conference.
2025-04-01		Fukagata launched Emerging Research Center of Fluid Mechanics as a graduate school research unit.
2025-04-01		Fukagata has been appointed to the Chair of JSME Fluids Engineering Division (JSME-FED).