Embedded Files
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
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]
12/9/2025: [New Member!] Shaghayegh Zamani Ashtiani has joined our roster as a postdoctoral research associate. Welcome Shagin!
12/8/2025: [Award] Kai F has received the 22nd International Conference on Flow Dynamics Best Presentation Award for Young Researcher. [PDF] [Tohoku Mech]
12/8/2025: [Event] Daiki Beppu (Undergraduate Research Assistant) and Kai F visited Prof. Hiroya Nakao's lab at Science Tokyo.
12/3/2025: [Seminar] Kai F gave a seminar talk about information-theoretic machine learning for unsteady flows at AISIN Digital Engineering, Aichi, Japan.
11/27/2025: [Meeting] Kai F gave a talk about data-driven manifold learning for unsteady flows at the JST PRESTO meeting for the research area of “Mathematical Sciences for the Future".
11/23/2025: [Conference] Kai F gave a talk about information-theoretic machine learning for aerodynamic flows at APS-DFD2025, Houston, USA. [Photos]
11/11/2025: [Conference] Kai F gave a talk about information-theoretic machine learning for aerodynamic flows at ICFD2025, Sendai, Japan. [Photos]
11/4/2025: [Visitor!] Moritz Link has joined our roster as a visiting graduate student from Karlsruhe Institute of Technology (KIT, Dr. Alex Stroh's group), Germany. Welcome Moritz!
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.
Page updated
Google Sites
Report abuse