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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
9/10-12/2025: [Short internship] Shiven Garg (India International School in Japan, Tokyo) has interned in our group [Photos].
9/9-12/2025: [Scholarship] Yuta Ushida (Undergraduate Research Assistant) has been awarded for the educational program on civil aircraft development at Mitsubishi Heavy Industries, Ltd. (MHI) by the Boeing Higher Education Program at Tohoku University and attended the education program.
8/28/2025: [Event] Hiroshi Omichi at Keio University (Prof. Fukagata's group) visited us and gave a seminar talk on reduced-order modeling for plasma turbulence. [Picture]
8/21-23/2025: [Invited talk] Kai F gave an invited talk at the JSME-KSME Joint Symposium on Computational & CAE 2025 at Gwangju Institute of Science and Technology, along with an in-person meeting of the JK-FLOW organization committee with Prof. Hyejeong Kim at Korea University. [Photos]
8/20/2025: [Preprint] K. Taira, G. Rigas, K. Fukami, “Machine learning in fluid dynamics: A critical assessment," arXiv:2508.13430 [physics.flu-dyn], 2025 (To appear in Physical Review Fluids as a perspective article)
8/13/2025: [Out now!] K. Fukami, L. Smith, K. Taira, “Extreme vortex-gust airfoil interactions at Reynolds number 5000," Physical Review Fluids, 10, 084703, 2025
8/6/2025: [Out now!] K. Fukami, R. Araki, “Information-theoretic machine learning for time-varying mode decomposition of separated aerodynamic flows," AIAA Journal, 2025
8/4/2025: [Event] A special outreach class, Let us machine-learn aerodynamics!, for high school students in Sendai, Miyagi, was given at Tohoku University.
8/1/2025: [Award] Kai F has been awarded as a 2024 Outstanding Reviewer by Journal of Fluid Mechanics, given to those who are regarded as a top 1% reviewer based on the timeliness and quality of their reviews. [Tohoku Mech] [Paper]
Previous news can be found here.
For those interested in our group (Advanced Aerospace Engineering Field, Department of Aerospace Engineering, Tohoku University), please visit Join us! page and carefully read the requirements before taking any action.
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