Received the Fujiwara award (藤原奨学基金「藤原賞」受賞) [2022-03-28].
Morimoto et al., "Model-form uncertainty quantification in neural network-based fluid flow estimation," in 35th CFD symposium was awarded as a hi-lighted research topic and invited to Nagare-Journal (Japan Society of Fluid Mechanics).
Received Japan Society of Fluid Mechanics Outstanding Young Presenter Award (日本流体力学会 若手優秀講演表彰) (in 35th CFD Symposium) [2021-12-23].
The research article regarding the application of machine learning to the experimental flow measurement (Morimoto et al., 2021) has been selected as an 'Editor's Pick' in Physics of Fluids.
Received the Outstanding Presentation Award in 18th Workshop on Turbulence Control, online presentation, Jun 2020.
Received the Certificate of Merit from the Chair of the Department of Mechanical Engineering (慶應義塾大学理工学部機械工学科主任表彰) [2020-03-23]
Morimoto et al., "Improvement of PIV by data augmentation based on machine learning," in 33rd CFD symposium was awarded as a hi-lighted research topic and invited to Nagare-Journal (Japan Society of Fluid Mechanics).