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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
News
News
7/17/2026: [Paper] Fukami & Taira (Observable-augmented manifold learning for multi-source turbulent flow data, 2025) has been highlighted as one of the top 10 highly cited articles in 2025 of Journal of Fluid Mechanics.
7/10/2026: [Award] Ryo Koshikawa (Graduate Research Assistant) has received the Best Presentation Award in a Student Category for the 44th meeting of the Japan Society for Aeronautical and Space Sciences Aerodynamics Division. Congrats Ryo!
7/9/2026: [Event] Kai F and Ryo Koshikawa (Graduate student) visited Prof. Romit Maulik's group at Purdue University. [Photos]
7/6/2026: [Conference] Kai F organized a mini-symposium on “Low-order Analysis and Modeling of Transient Flows" in the 2026 SIAM Annual Meeting (AN26, organizers: Kai Fukami (Tohoku Univ.), Alec J. Linot (UMass Amherst), Sam Taira (UCLA)) at Cleveland, OH, USA. Ryo Koshikawa (Graduate student) gave a talk on convolutional causal learning for unsteady flows in the session. [Part I] [Part II] [Photo].
7/3/2026: [Out now!] K. Fukami, E. Shoji, “Data-driven modeling and decomposition for nanoscale liquid-film dynamics: Application to superspreading nanofluid droplets," European Journal of Mechanics - B/Fluids, 121, 204596, 2027
6/24-26/2026: [Conference] Ryo Koshikawa (Graduate student) and Shagin Zamani Ashtiani (Postdoc) gave talks at the 44th meeting of the Japan Society for Aeronautical and Space Sciences Aerodynamics Division held in Tottori, Japan. [Photos]
Previous news can be found here.
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