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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
2/26/2026: [Seminar] Dr. Ryo Araki (Tokyo University of Science) visited us and gave a seminar on information-theory-based analysis of turbulence. [Pictures]
2/19/2026: [Award] Kai F has been nominated as a Distinguished Researcher of Tohoku University. [Tohoku Univ] [Tohoku Mech]
2/17-19/2026: [Invited talk] Daiki Beppu (Undergrad) and Kai F visited Prof. Yuzuru Kato's group at Future University Hakodate. Kai F also gave an invited talk at the Complex Systems Intelligence Seminar, Future University Hakodate. [Photos]
2/13/2026: [Defense] Ryo Koshikawa (Undergrad) gave a talk about his thesis at the Bachelor's defense at Tohoku University.
2/10/2026: [Conference] Ryo Koshikawa (Undergrad) gave a talk about information-theoretic convolutional learning for aerodynamic flows at the JK-FLOW seminar.
2/3/2026: [Visitor!] Pablo Koop has joined our roster as a visiting graduate student from TU Delft, The Netherlands. Welcome Pablo!
1/28/2026: [Preprint] R. Koshikawa, R. Araki, Q. Liu, K. Fukami, “Convolutional causal learning for aerodynamic flows," arXiv:2601.19104 [physics.flu-dyn]
1/26/2026: [Award] Ryo Koshikawa (Undergraduate Research Assistant) has received the Young Researchers' Outstanding Presentation Award for the 39th CFD Symposium. Congrats Ryo! [JSFM] [Tohoku Mech]
1/15/2026: [Event] Our previous visitor, Moritz Link (co-supervised by Kai F and Alex Stroh at KIT), has presented recent progress for data-driven dissimilarity identification of the velocity-temperature relationship in roughness turbulence in his intermediate presentation of the MS program at KIT.
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]
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.
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