JSFM 2024
I am going to attend the Annual Meeting of the Japan Society of Fluid Mechanics (JSFM) in 2024, held in Sendai. My talk is scheduled on the last day of the conference.
Yusuke Yugeta(YY) is a PhD student in the Hasegawa Lab at the Institute of Industrial Science, The University of Tokyo. YY received his BEng and MEng in Mechanical Engineering from the University of Tokyo in 2022 and 2024, respectively, and is currently pursuing a PhD in Mechanical Engineering under the supervision of Prof. Y. Hasegawa. His research interests include turbulence and its control, mathematical optimization, blackbox optimization, feedback control, and machine learning. Currently, he is working on the application of symbolc machine learning techniques to develop an efficient control algorithms for turbulent flows.
PhD candidate, Mechanical Engineering
The University of Tokyo
MEng Mechanical Engineering
The University of Tokyo
BEng Mechanical Engineering
The University of Tokyo
I am going to attend the Annual Meeting of the Japan Society of Fluid Mechanics (JSFM) in 2024, held in Sendai. My talk is scheduled on the last day of the conference.
I was happy to be awarded the BOOST NAIS Fellowship! The BOOST NAIS Fellowship is a program that supports young researchers who are expected to play a leading role in the field of AI and data science in the future.
I am going to talk about our recent work on the automatic exploration of cost function for suboptimal control of turbulent flow by machine learning at the European Drag Reduction and Flow Control Meeting 2024 in Turin, Italy.