Kai Fukami Lab: Data Oriented Fluid Dynamics Group @ Tohoku University
We are the Data Oriented Fluid Dynamics Group at Tohoku University, launched in January 2025. The principal investigator is Kai Fukami, Ph.D., an Associate Professor in the Department of Aerospace Engineering, Tohoku University. Our group belongs to the Advanced Aerospace Engineering field in the Aerospace Engineering department.
Our group studies a range of unsteady flow phenomena leveraging data science, nonlinear machine learning, complex network theory, information theory, and computational fluid dynamics. Our ultimate goal is to build a data-oriented foundation for real-time analysis, modeling, and control of unsteady flows ubiquitously appearing in various situations around small air vehicles, airplanes, motor vehicles, and fluid-based industrial machines.
Address: 6-6-01, Aramaki-Aza-Aoba, Aoba-Ku, Sendai, Miyagi, 980-8579, Japan
Office: Room 403, Research Building No.1, Division of Mechanical Engineering, Tohoku University
10/22/2026: [Invited talk] Kai F gave an invited talk at the JST Moonshot Research Program Meeting for the Goal 10 R&D Projects of Innovation in the Formulation and Solution Methods of Mathematical Models to Transform the Paradigm of Fusion Research, Sendai, Japan.
10/21/2026: [Out now!] K. Fukami, K. Fukagata, “A practical guide to machine learning in fluid mechanics: An encoder-decoder perspective," Journal of Fluid Mechanics (JFM Perspectives, invited), 1045, P1, 2026
10/20/2026: [Out now!] K. Fukami, R. Maulik, “Physics-informed machine learning: a hybrid lens for fluid dynamics," Nature Machine Intelligence (invited), 2026 (view-only PDF)
10/8/2026: [Preprint] D. Beppu, V. Godavarthi, K. Yawata, H. Nakao, K. Fukami, “Machine-learning-assisted phase-amplitude reduction for fast synchronization of airfoil wakes with constrained fluctuations," arXiv:2610.09543 [physics.flu-dyn]
10/6/2026: [Preprint] Y. Ushida, D. Beppu, Y. Kato, K. Fukami, “Studying oscillation death in two-dimensional cylinder-airfoil interactions with synchronization-theoretic autoencoder," arXiv:2610.05762 [physics.flu-dyn]
10/1/2026: [New Member!] Shristi Singh has joined our roster as a postdoctoral research associate. Welcome Shristi!
Previous news can be found here.