Undergraduate, Semester 6, 2025-
15 classes in a quarter.
Exam-based class. 1.5 hrs × 2 days per week.
Covering the fundamental compressible fluid dynamics.
Graduate, Summer Intensive Lecture, 2025-
12 classes over 3 days.
Project-based class. 4 classes (90 mins/class) × 3 days.
Covering 1. fundamentals of numerical simulation (by Prof. Soshi Kawai), 2. data-driven fluid dynamics (by Kai F), and 3. their industrial applications (by a guest lecturer).
Undergraduate, Semester 6, 2025-
15 classes in a quarter.
Project-based class. 5 hrs per week.
Covering the fundamentals of Computer Aided Design (CAD).
Undergraduate (IMAC-G), Semester 5, 2025-
14 classes in a quarter.
Report-based class. 1.5 hrs × 2 days per week.
(For Kai F's class): Covering the fundamentals of data-driven analysis for aerodynamics.
Graduate, Spring 2022
Project-based class. 2 hrs × 2 days per week.
Grading for progress and final project reports for all students.
TA office hours (2 hrs per week) were also held.
Kai F offered 3 lectures about machine learning and fluid mechanics including
Lecture 8: Basic applications of supervised learning to fluid flows (overview of Fukami et al., Theor. Comp. Fluid Dyn., 2020)
Lecture 9: Coding-based class for machine-learning-based aerodynamic coefficient prediction and super-resolution reconstruction
Lecture 10: Overview of machine-learning-based global flow field reconstruction (generalized super-resolution analysis)
Graduate, Spring 2024
Kai F offered 3 lectures about machine learning and fluid mechanics including
Lecture 4: Regression and neural networks for fluid flows
Lecture 5: Convolutional neural networks for fluid flows
Lecture 6: Overview of machine-learning-based global flow field reconstruction (generalized super-resolution analysis)
Japan-Korea Fluid Mechanics Online Workshop (since March 2025)
Organizers: K. Fukami (Tohoku Univ.), S. Lee (Inha Univ.), A. Sciazko (Univ. Tokyo), J. Jeon (Jeonbuk Natl. Univ.), and H. Kim (Korea Univ.)
March 17-19, 2025, Nagoya, Japan
Organizers: K. Taira (UCLA), T. Nonomura (Nagoya Univ.), K. Fukami (Tohoku Univ.), K. Fujii (Tokyo Univ. Sci.), K. Fukagata (Keio Univ.), S. L. Brunton (Univ. Washington), and M. Hemati (Univ. Minnesota)
Mini-symposium "Reduced-complexity models for fluid flows," March 2023
Organizers: K. Fukami (UCLA), S. T. M. Dawson (Illinois Tech.), and K. Taira (UCLA)
Mini-symposium "Data-driven analysis and modeling of unsteady flows," Sep 2022
Organizers: K. Fukami (UCLA), M. Hickner (Univ. of Washington), K. Taira (UCLA), and S. L. Brunton (Univ. of Washington)
Gave an introduction-type lecture of aerodynamics to high school students in Sendai, Miyagi.
Provided outreach activities of aerodynamics and fluid dynamics as a member of Professor Taira's group
Provided introductive activities of aerodynamics and fluid dynamics as a member of Professor Taira's group