Name:

Bingzheng Han

Ph.D. Candidate

Admission Year:

2019

Supervisor:

Weixi Huang

E-mail:

hbz19@mails.tsinghua.edu.cn

Address:

N706, Meng Minwei Sci. & Tech. Building, Tsinghua University, Beijing, China

Research Interests:

 Turbulent drag reduction control

 Machine learning

 Coupled reduced order model and Machine learning

Education:

2019~Now

Ph.D. student, Department of Engineering Mechanics, Tsinghua University (THU), China.

2015~2019

B.S. School of Aeronautics, Northwestern Polytechnical University(NWPU), China.

Recent Proceeding:

 Active control for drag reduction of turbulent channel flow based on convolutional neural networks.

 Drag reduction control based on deep reinforcement learning

 Multi-fidelity Bayesian optimization for spatially distributed control of flow over a circular cylinder

 Coupled restricted nonlinear model/machine learning control for drag reduction of wall turbulence

Publications:

[1] B.-Z. Han and W.-X. Huang, “Active control for drag reduction of turbulent channel flow based on convolutional neural networks,” Physics of Fluids 32 (2020), 10.1063/5.0020698

[2] B.-Z. Han, Huang W X, Xu C X. Deep reinforcement learning for active control of flow over a circular cylinder with rotational oscillations[J]. International Journal of Heat and Fluid Flow, 2022, 96: 109008.

[3] B.-Z. Han, Huang W X, Xu C X. Multi-fidelity Bayesian optimization for spatially distributed control of flow over a circular cylinder. (Under review)

[4] B.-Z. Han, Huang W X, Xu C X. Coupled restricted nonlinear model/machine learning control for drag reduction of wall turbulence. (Preparing)