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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
8/24/2026: [Invited talk] Kai F gave an invited talk at the 8th Insight Data Science Conference, held in Tokyo, Japan.
8/21/2026: [Visitors] Pablo Koop (from TU Delft) and Anni Heljala (from Tampere Univ.) have finished their visit. See you Pablo and Anni, soon! [Photos]
8/21/2026: [Invited talk] Kai F gave an invited talk at the JSME-KSME Joint Symposium on Computational & CAE 2026, held at Nagaoka University of Technology, Niigata, Japan. [Photos]
8/20/2026: [Out now!] K. Fukami, “Let us “machine-learn" fluid flows," STI Horizon, MEXT, 12 (51), 26-28 (invited), 2026
8/20/2026: [Conference] Shagin Zamani Ashtiani (Postdoc), Yuta Ushida (Undergrad Research Assistant), and Daiki Beppu (Undergrad Research Assistant) gave a talk at the Hakodate Workshop on Nonlinear Dynamics, Fluid Dynamics, and Control (HNFC), held in Hakodate, Japan. [Photos]
8/5/2026: [Invited talk] Kai F gave an invited talk in the 4th technical session on surrogate modeling from mathematics to intellectual activities of JSME Computational Mechanics Division, held in Tokyo, Japan.
8/3/2026: [Event] A special outreach class, Let us machine-learn aerodynamics!, for high school students in Sendai, Miyagi, was held at Tohoku University.
7/29-30/2026: [Event] Our group contributed to the 2026 Open School event at Tohoku University and introduced our recent studies.
7/30/2026: [Preprint] R. Koshikawa, K. Fukami, “Extracting informative vortical structures of turbulent wake-extreme vortex gust interactions with machine learning," arXiv:2607.26683 [physics.flu-dyn]
7/29/2026: [Conference] Shagin Zamani Ashtiani (Postdoc) gave a talk on data-driven analysis of extreme aerodynamic flows with time-dependent bases at TSFP14, held in Heidelberg, Germany.
Previous news can be found here.
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