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
5/25-26/2026: [Invited talk] Kai F visited Institut Teknologi Bandung, Indonesia, and gave an invited talk. [Photos]
5/20/2026: [Award] Kai F has received the Physical Review Fluids Reviewer Excellence 2026 Award by the American Physical Society (APS).
5/14/2026: [Paper] Fukami et al. (A survey on super-resolution for fluid flows, 2023) has been introduced as the most downloaded article in 2025 for Theoretical and Computational Fluid Dynamics.
4/1/2026: [Project] The project for Grant-in-Aid for Scientific Research B (Kiban B), “Extracting causal relationships in unsteady aerodynamic flows with information-theoretic machine learning," (PI: Kai Fukami) has been initiated.
4/1/2026: [New Member!] Kodai Nagano (graduate student), So Yamamoto (graduate student), and Anni Heljala (visiting graduate student) have joined our roster. Welcome all!
Previous news can be found here.