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
8/30/2026: [Award] Kai F has received the Physical Review Fluids Reviewer Excellence 2026 Award by the American Physical Society (APS). [APS][Tohoku Mech]
8/26/2026: [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! [JSASS][Tohoku Mech]
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
Previous news can be found here.