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
1/6/2026: [Preprint] K. Fukami, E. Shoji, “Data-driven sparse modeling and decomposition for superspreading-wetting dynamics of a droplet," arXiv:2601.01776 [physics.flu-dyn]
12/26/2025: [Award] Kai F has been selected as a “NISTEP Researcher 2025" by the National Institute of Science and Technology Policy (NISTEP), Ministry of Education, Culture, Sports, Science and Technology (MEXT) in the Japanese government. [PDF] [Tohoku Mech]
12/23/2025: [Invited seminar] Kai F gave an invited seminar talk at the Nihon Techno Center Co.,Ltd. for applications of nonlinear machine learning in fluid dynamics.
12/19/2025: [Visitor] Moritz Link has finished his visit and heads back to Karlsruhe Institute of Technology. See you Moritz soon!
12/18/2025: [Conferences] Ryo Koshikawa (Undergrad), Shagin Zamani Ashtiani (Postdoc), and Kai F gave talks at the 39th CFD symposium held in Kitakyushu, Japan. [Photos]
12/15/2025: [Out now!] K. Yawata, R. Sakuma, K. Fukami, K. Taira, H. Nakao, “Phase autoencoder for rapid data-driven synchronization of rhythmic spatiotemporal patterns," Physical Review E, 112, 064211, 2025 (preprint, arXiv:2506.12777 [nlin.AO])
12/11/2025: [Preprint] S. Zamani Ashtiani, K. Fukami, “Data-driven time-dependent bases for turbulent airfoil wake-extreme vortex gust interactions," arXiv:2512.09523 [physics.comp-ph]
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.