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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
6/2/2025: [Preprint] K. Fukami, R. Araki, “Information-theoretic machine learning for time-varying mode decomposition of separated airfoil wakes," arXiv:2505.24132 [physics.flu-dyn], 2025
5/26/2025: [Event] Alex Stroh at KIT, Germany, visited us and gave a seminar talk on data-driven analysis for turbulent flows over rough surfaces. [Picture]
5/23/2025: [New Members!] Three undergraduate students (Daiki Beppu, Ryo Koshikawa, and Yuta Ushida) have joined our roster. Welcome all!
5/15-17/2025: [Invited talk] Kai F gave an invited talk at the IUTAM Symposium on Machine Learning in Diverse Fluid Mechanics in Okinawa, Japan.
5/13/2025: [Event] Kai F gave a seminar talk about data-driven modeling and control of unsteady flows for the Division of Mechanical Engineering at Tohoku University.
5/9/2025: [Out now!] K. Fukami, K. Taira, “Observable-augmented manifold learning for multi-source turbulent flow data,” Journal of Fluid Mechanics, 1010, R4, 2025
5/2/2025: [Preprint] K. Fukagata, K. Fukami, “Compressing fluid flows with nonlinear machine learning: mode decomposition, latent modeling, and flow control," arXiv:2505.00343 [physics.flu-dyn], 2025
4/25/2025: [Keynote talk] Kai F gave a keynote talk at the RIKEN next-generation CAE consortium for combustion systems, Hyogo, Japan. [PDF] [Picture]
4/22/2025: [Invited talk] Kai F gave an invited talk at a seminar on “Fluids and Informatics” in the Japan Society of Mechanical Engineers.
4/1/2025: [Update] Kai F has been appointed as an adjunct faculty member of Institute of Fluid Science at Tohoku University.
Previous news can be found here.
For those interested in our group (Advanced Aerospace Engineering Field, Department of Aerospace Engineering, Tohoku University), please visit the Join us! page and carefully read the requirements before taking any action.
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