Institute of Industrial Science, The University of Tokyo. Yosuke Hasegawa Lab.

Yutaka Fukuda,「随伴解析を用いた乱流伝熱面の形状最適化およびその実証実験系の構築」
Yuya Yamada (Tsukahara Laboratory, Graduate School of Tokyo University of Science),「粘弾性流体における平行平板間内円柱後流の直接数値計算及びデータ同化環境の構築」
Kengo Takaki (Tsukahara Laboratory, Graduate School of Tokyo University of Science),「蒸発液滴内の粒子堆積過程の解明に向けた共焦点顕微鏡による時空間粒子分布計測」
Yuelin Wu, “Estimation of turbulent flow state based on limited measurement data”
Qifan Yang, “Development of Wind-Tunnel Experimental Platform for Assessment of Olfactory Search Algorithms with a Mobile Robot”

Takumi Yuasa,「複雑形状を有する流体解析のための境界埋め込み法の高精度化」
Yuki Akechi (Tsukahara Laboratory, Graduate School of Tokyo University of Science),「随伴法による円柱周りにおけるニュートン流体および粘弾性流体の状態推定」
Zhuchen Liu, “Application of Machine Learning Algorithms to Turbulent Flow Estimation based on Wall Measurement”

Mingqian Ding, “Relationship Between Vascular Remodeling and Hemodynamic Parameters in Mouse Retina”

Takahiro Sonoda,「強化学習を用いた乱流制御則開発フレームワークの構築と壁乱流への応用」
Taichi Hosoya (Tsukahara Laboratory, Graduate School of Tokyo University of Science),「4次元変分法による3次元ダクト内円柱周り流れ場の推定」
Linghui Yang, “Physics-Informed Deep-Kernel Gaussian Process for Estimating Scalar Source from Limited Measurements”

Kazuki Takabayashi,「Scalar Source Estimation and Sensor Placement Optimization in Complex Flows Using Adjoint Analysis」
Shogo Sekine,「One-Dimensional Hemodynamic Analysis of Zebrafish Cerebral Blood Flow for Investigating Capillary Network Remodeling Mechanisms」
Shihan Yang,「Measurement and prediction of liquid film thickness in the coating process of complex surface geometries」

Yusuke Yugeta, "Prediction of optimal control input in a fully developed turbulent channel flow by machine learning"
Shun Tomizawa,「ライブイメージングを活用した散逸粒子動力学法によるゼブラフィッシュ体内血行動態の再現」
Takumi Endo,「Development of a Wall Model for Large Eddy Simulation Using Generative Adversarial Networks」

Yizhen Wang, “Automatic Optimization of Pulsating Waveform for Drag Reduction in Experiment of Turbulent Pipe Flow”

Ayato Hirayama,「Development of Physics-Informed Deep Learning Methods for Unsteady Flow Simulation and Their Application to Shape Optimization」
Seita Kashimura,「Shape Optimization Driven by Local Surface Fluid Forces Using Deep Reinforcement Learning」

Arjun J. Kaithakkal, “Control for Dissimilar Momentum and Heat Transfer with Streamwise Travelling Wave-like Wall Blowing and Suction”

Hanzhi Wang, “Optimization of Driving Waveform for High Precision Inkjet Printing”
Munetaka Ito,「壁乱流における最適制御機構の解明と新しい制御則への展開」
Zhuchen Liu, “Observability Assessment of Wall Turbulence Based on Spectral Energy Budget”

Dominik Henzel, “Estimation of Scalar Source in Complex Flow based on Physics-Informed Neural Networks”
Junxiu Pan, “Numerical simulation and optimization of porous structure with coupled conduction-convection-radiation heat transfer for solar receiver”
Qizhou Niu, “Adjoint-based topology optimization of convective heat transfer surfaces”
Sho Watanabe,「物体周り流れにおける物理法則を考慮した深層学習による形状最適化手法の構築」
Yao Xiao, “Estimation of complex turbulent flows based on limited measurement data”

Tingting Fang, “Understanding of the dissimilarity between momentum and scalar transfer in wall turbulence based on non-locality of eddy diffusivity”
Linghui Yang, “Estimation of Concentration Field and its Source based on Limited Measurement Information using a Generative Model”
Fengbo Guan, “Dissimilar heat transfer enhancement in developing laminar flows through parallel porous plates by inducing streamwise travelling wave-like disturbances“