Previous News
Previous News
12/16/2024: [Workshop] We have initiated an online seminar series between Japan and Korea, JK-FLOW. Kai F has joined the operating committee as a chair. We will provide the announcement of this initiation and details on the upcoming seminars soon. Stay tuned!
12/12/2024: [Out now!] K. Fukami, K. Taira, “Single-snapshot machine learning for super-resolution of turbulence," Journal of Fluid Mechanics, 1001, A32, 2024.
12/11/2024: [Conference] Gave a talk about data-driven phase-amplitude model-based control of extreme vortex-airfoil interactions at the 38th CFD symposium, Tokyo, Japan.
12/6/2024: [Media] Tran et al. (Communications Engineering, 3, 174, 2024) has been selected as a featured article.
11/24/2024: [Conference] As Kai F cannot attend the APS-DFD this year, our co-author Prof. Taira gave a talk about single-snapshot machine-learning for turbulence super-resolution, recently accepted for publication in the Journal of Fluid Mechanics, on our behalf.
11/20/2024: [Out now!] J. Tran, K. Fukami, K. Inada, D. Umehara, Y. Ono, K. Ogawa, K. Taira,``Aerodynamics-guided machine learning for design optimization of electric vehicles," Communications Engineering, 3, 174, 2024
10/30/2024: [Media] Fukami, Goto, & Taira (Journal of Fluid Mechanics, 984, R4, 2024) has been selected as an Editors' pick (selected by Prof. Henningson) of JFM Rapids. [link1] [link2]
10/24/2024: [Media] Research page is newly opened!
9/30-10/1/2024: [Event] Visited at Honda Motor Co.,LTD. in Japan.
9/10/2024: [Out now!] K. Fukami, H. Nakao, K. Taira, "Data-driven transient lift attenuation for extreme vortex gust-airfoil interactions," Journal of Fluid Mechanics, 992, A17, 2024
9/9/2024: [Preprint] K. Fukami, K. Taira, ``Single-snapshot machine learning for turbulence super resolution," arXiv:2409.04923 [physics.flu-dyn], 2024
8/27/2024: [Conference] Gave a talk about data-driven phase-amplitude model-based control of extreme vortex-airfoil interactions at ICTAM2024, Daegu, South Korea.
8/2/2024: [Conference] Gave a talk about data-driven analysis of extreme vortex-airfoil interactions at AIAA Aviation Forum 2024, Las Vegas, Nevada, USA (Conference paper: AIAA 2024-4531).
7/27/2024: [Out now!] K. Fukami, K. Taira, ``Data-driven modeling, sensing, and control of extreme vortex-airfoil interactions," in AIAA Aviation Forum 2024, Las Vegas, Nevada, USA, July-Aug 2024, AIAA 2024-4531.
6/26/2024: [Conference] Gave a talk about data-driven compression and sensing of extreme aerodynamics at TSFP13 in Montreal, Canada.
6/16/2024: [Event] Attended the UCLA Samueli Engineering School Commencement 2024.
6/3/2024: [Media] Yawata et al. recently published in Chaos (34, 063111) has been selected as an Editor's pick.
6/3/2024: [Out now!] K. Yawata, K. Fukami, K. Taira, H. Nakao, ``Phase autoencoder for limit-cycle oscillators," Chaos, 34, 063111, 2024
6/1/2024: [Scholarship] Received the USNC/TAM National Academy of Sciences Travel Fellowship for ICTAM2024.
5/25/2024: [Seminar] Gave an invited seminar talk in the 73rd SCJSF & JABA Forum at UCLA, California, USA.
4/18/2024: [Award] Received the UCLA Mechanical and Aerospace Engineering Department Outstanding Ph.D. Degree Award. [Picture1] [Picture2] [link]
4/13/2024: [Conference] Gave a talk about phase-amplitude model-based control of extreme aerodynamics in 17th Southern California Flow Physics Symposium (SoCal Fluids XVII) at UC Irvine, California, USA.
4/(11,16,18)/2024: [Lecture] Gave lectures about neural networks and fluid mechanics for MAE252E "Data Science and Fluid Mechanics" at UCLA as a guest speaker.
4/1/2024: [Out now!] K. Fukami, S. Goto, K. Taira, ``Data-driven nonlinear turbulent flow scaling with Buckingham Pi variables," Journal of Fluid Mechanics, 984, R4, 2024
3/22/2024: [Organizer] Joined the local executive committee of the IUTAM Symposium on Machine Learning in Diverse Fluid Mechanics planned in May 2025.
3/21/2024: [Event] Visited Prof. Koji Fukagata's group at Keio University, Japan.
3/13/2024: [Preprint] K. Yawata, K. Fukami, K. Taira, H. Nakao, "Phase autoencoder for limit-cycle oscillators," arXiv:2403.06992, 2024
3/7/2024: [Out now!] M. Matsuo, K. Fukami, T. Nakamura, M. Morimoto, K. Fukagata, "Reconstructing three-dimensional bluff body wake from sectional flow fields with convolutional neural networks," SN Computer Science, 5, 306, 2024
3/3/2024: [Preprint] K. Fukami, H. Nakao, K. Taira, "Data-driven transient lift attenuation for extreme vortex gust-airfoil interactions," arXiv:2403.00263, 2024
3/2/2024: [Organizer] Joined the organizer team of the 3rd Data-Driven Fluid Dynamics Workshop planned in March 2025 as a co-chair.
2/28/2024: [Preprint] K. Fukami, S. Goto, K. Taira, "Data-driven nonlinear turbulent flow scaling with Buckingham Pi variables," arXiv:2402.17990, 2024 (to appear in Journal of Fluid Mechanics)
2/22/2024: [Seminar] Gave an invited talk at online webinar at the Laboratoire de Mécanique des Fluides de Lille (LFML). [YouTube] [Flyer-A] [Flyer-B]
2/20/2024: [Out now!] K. Fukami, ``Data-Driven Modeling and Control of Extreme Aerodynamic Flows: Super Resolution, Manifold Identification, and Phase-Amplitude Reduction," Ph.D. thesis, University of California, Los Angeles, 2024.
2/15/2024: [Event] Attended UCLA Data X + IDRE Research in the Age of AI Symposium.
2/7/2024: [Degree] Received Ph.D. degree from UCLA. [Slides]
1/30/2024: [Out now!]: L. R. Smith, K. Fukami, G. Sedky, A. R. Jones, K. Taira, ``A cyclic perspective on transient gust encounters through the lens of persistent homology," Journal of Fluid Mechanics, 980, A18, 2024
1/19/2024: [Seminar] Happy New Year! Kai F gave a seminar talk about extreme aerodynamic manifold (Fukami & Taira, Nature Communications, 2023) at the ReCoVor Seminar.
1/15/2024: [Media] Released a Japanese page!
12/16/2023: [Seminar] Gave a seminar talk about U.S. Ph.D. for the Japanese Graduate Student Association in the United States.
12/4-5/2023: [Event] Visited at Honda Motor Co.,LTD. in Japan.
12/1/2023: [Media] Our recent study about extreme aerodynamic manifold (Fukami & Taira, Nature Communications, 2023) has been introduced in the Aerospace Science section of the AIAA 2023 Year in Review.
11/19-21/2023: [Conference] Gave a talk about extreme aerodynamic manifold at APS-DFD2023 in Washington, DC.
11/15/2023: [Media] Our paper about extreme aerodynamic manifold (Fukami & Taira) has been featured as an Editors' Highlight in Nature Communications.
11/14/2023; [Event] Visited at John F. Kennedy High School (Los Angeles) for outreach activities about fluid mechanics and aerodynamics.
10/24/2023: [Media] Our recent discovery of extreme aerodynamic manifold (Fukami & Taira, Nature Communications, 2023) has been introduced on the UCLA MAE website.
10/18/2023: [Out now!] D. Chen, F. Kaiser, J.-C. Hu, D. E. Rival, K. Fukami, K. Taira, ``Sparse pressure-based machine learning approach for aerodynamic loads estimation during gust encounters," AIAA Journal, 62, 1, 275-290, 2024
10/14/2023: [Out now!] K. Fukami, K. Taira, ``Grasping extreme aerodynamics on a low-dimensional manifold," Nature Communications, 14, 6480, 2023
10/13/2023: [Conference] Gave a poster presentation in Science Hub Showcase 2023 hosted by the UCLA-Amazon Science Hub for Humanity and Artificial Intelligence.
08/28/2023: [Event] Visited at the Fluid Mechanics Group (led by Prof. Susumu Goto), Osaka University.
08/24/2023: [Seminar] Gave a seminar talk at the Aerodynamic Design Research Group (led by Prof. Soshi Kawai), Tohoku University.
08/21-23/2023: [Event] Visited at Honda Motor Co.,LTD. in Japan.
07/27-30/2023 [Conference] Attended the 40th ICML (International Conference on Machine Learning) in Honolulu, Hawaii.
06/28/2023 [Preprint] L. R. Smith, K. Fukami, G. Sedky, A. R. Jones, K. Taira, ``A cyclic perspective on transient gust encounters through the lens of persistent homology," arXiv:2306.15829 [physics.flu-dyn]
06/16/2023 [Out now!] K. Fukami, K. Fukagata, K. Taira, ``Super-resolution analysis via machine learning: A survey for fluid flows," Theoretical and Computational Fluid Dynamics, 37, 421--444 (invited), 2023 (SI: Vortex Dominated Flows)
06/07/2023 [Seminar] Gave a seminar talk about the Voronoi-CNN-assisted global flow field reconstruction (Fukami et al., Nature Mach. Intell., 2021) to Structures-Computer Interaction Lab (led by Prof. M. Khalid Jawed) at UCLA.
06/07/2023 [Out now!] Y. Zhong, K. Fukami, B. An, K. Taira, "Sparse sensor reconstruction of vortex-impinged airfoil wake with machine learning," Theoretical and Computational Fluid Dynamics, 37, 269--287, 2023
05/30/2023: [Conference] Attended the 2023 ACC Workshop on “Contraction Theory for Systems, Control, and Learning” in San Diego, California.
05/15/2023: [Preprint] K. Fukami, K. Taira, "Grasping extreme aerodynamics on a low-dimensional manifold," arXiv:2305.08024, 2023
05/09/2023: [Preprint] Y. Zhong, K. Fukami, B. An, K. Taira, "Sparse sensor reconstruction of vortex-impinged airfoil wake with machine learning," arXiv:2305.05147, 2023 (to appear in Theoretical and Computational Fluid Dynamics)
04/22/2023: [Conference] Presented about the nonlinear manifold of extreme aerodynamics in SoCal Fluids XVI held at San Diego State University, California.
03/24/2023: [Media] Our previous study on machine-learning-based spatio-temporal super-resolution analysis of turbulent flows (K. Fukami, K. Fukagata, K. Taira, J. Fluid Mech., 2021) has been introduced by Keio University Global Research Institute. As for related articles, two studies (Fukami et al., J. Fluid Mech., 2019 and Fukami et al. Nature Machine Intelligence, 2021) have also been listed. [link] [PDF]
02/27/2023: [Conference] Organized a mini-symposium "Reduced-Complexity Models for Fluid Flows" (co-organized by S. T. M. Dawson (Illinois Tech.), and K. Taira (UCLA)) and presented about our recent survey on super-resolution analysis of vortical flows at SIAM-CSE23 in Amsterdam, The Netherlands.
02/23/2023: [Invited talk] Gave an invited talk at the Lightning Talks by the Amazon Fellows hosted by the UCLA-Amazon Science Hub for Humanity and Artificial Intelligence. [Recorded video (23:15~)] [PDF]
02/16/2023: [Out now!] V. Anantharaman, J. Feldkamp, K. Fukami, K. Taira, "Image and video compression of fluid flow data," Theoretical and Computational Fluid Dynamics, 37, 61--82, 2023
02/06-09/2023: [Event] Visited at Honda Motor Co.,LTD. and Tokyo Institute of Technology, in Japan.
01/26/2023: [Preprint] K. Fukami, K. Fukagata, K. Taira, "Super-resolution analysis via machine learning: A survey for fluid flows," arXiv:2301.10937, 2023
01/02/2023: [Preprint] V. Anantharaman, J. Feldkamp, K. Fukami, K. Taira, "Image and video compression of fluid flow data," arXiv:2301.00078, 2023
12/19/2022: [Event] Visited at Keio University, Japan.
12/15-16/2022: [Seminar] Visited and gave seminars at Honda Motor Co.,LTD., in Tochigi, Japan.
11/20-22/2022: [Conference] presented about nonlinear manifold of extreme aerodynamics at APS-DFD annual meeting 2022 in Indianapolis.
10/20/2022: [Conference] Our paper (Fukami & Taira, "Learning the nonlinear manifold of extreme aerodynamics") has been accepted by NeurIPS2022. ([Paper] [Poster] can be accessed here)
10/01/2022: [Award/Scholarship] Selected as an Amazon Fellow 2022. [UCLA] [Amazon]
09/26/2022: [Conference] Organized a mini-symposium "Data-driven analysis and modeling of unsteady flows" (co-organized by M. Hickner (UW), K. Taira (UCLA), and S. L. Brunton (UW)) and presented about machine learning & scale invariance at SIAM-MDS22 in San Diego.
09/13/2022: [Seminar] Visited and gave an invited seminar at Osaka University, Japan.
09/12-21/2022: [Event] Visited at Tokyo Institute of Technology, Japan.
09/05/2022: [Conference] gave an invited talk in 2nd US-Japan Workshop on Data-Driven Fluid Dynamics at Kobe, Japan.
08/23/2022: [Out now!] K. Fukami, B. An, M. Nohmi, M. Obuchi, K. Taira, "Machine-learning-based reconstruction of turbulent vortices from sparse pressure sensors in a pump sump," Journal of Fluids Engineering, 144(12), 121501, 2022
07/22/2022: [Out now!] M. Morimoto, K. Fukami, R. Maulik, R. Vinuesa, K. Fukagata, "Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression," Physica D, 440, 133454, 2022
06/25/2022: [Out now!] M. Morimoto, K. Fukami, R. Maulik, R. Vinuesa, K. Fukagata, [SI] Focus on CFD35: "Model-form uncertainty quantification in neural-network-based fluid-flow estimation," Nagare-Journal of Japan Society of Fluid Mechanics, 41 (2), 89-92 (invited), 2022
06/15/2022: [Conference] presented about dynamical complex network and airfoil wake at IUTAM Symposium on Data-driven modeling and optimization in fluid mechanics in Denmark.
05/12/2022: [Conference] presented (online) about machine-learning-based analysis for industrial pump sump in the 86th conference of turbomachinery society of Japan.
04/23/2022: [Conference] presented about dynamical complex network and airfoil wake at SoCal Fluids XV.
04/22/2022: [Seminar] gave an invited seminar talk (online) at the University of Texas at El Paso.
04/15/2022: [Conference] presented (online) about machine-learning-based flow reconstruction and UQ at SIAM-UQ22.
04/04-06: [Event] Visited and gave an invited seminar talk at Sorbonne University in Paris.
03/28-04/01: [Event] Attended a workshop on Wall-bounded turbulence: beyond current boundaries at the University of Cambridge, UK.
03/08/2022: [Out now!] T. Nakamura, K. Fukami, K. Fukagata, "Identifying key differences between linear stochastic estimation and neural networks for fluid flow regressions" Scientific Reports, 12, 3726, 2022
02/23/2022: [Conference] gave an invited talk in NSF AI planning institute: Super-resolution Simulations Workshop at Carnegie Mellon University.