Wu Bi

Senior Engineer  

Email：wubin@@gdiist.cn

Personal Profile

Studied at the School of Physics, Peking University from 2007 to 2011, obtaining a Bachelor of Science degree. Pursued doctoral studies at the School of Engineering, Peking University and the State Key Laboratory for Turbulence and Complex Systems from 2011 to 2017, earning a Ph.D. in Science. From 2017 to 2022, worked successively at the R&D System and Simulation Technology Department of AECC Commercial Aircraft Engine Co., Ltd., Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, and the Institute of Brain and Intelligence Science. Engaged in research and development work in complex system simulation modeling and analysis, large-scale parallel/distributed computing, and reinforcement learning decision-making, accumulating considerable engineering development experience.

Research direction:

Interdisciplinary field of complex systems and artificial intelligence, dedicated to breakthroughs in existing intelligence models in areas such as cognitive decision-making and AI large models. Aims to achieve the next generation of brain-like computing systems that are 'brain-like in mechanism and human-like in behavior,' enabling machines to engage in more intellectual and creative labor, and assist humans in efficient decision-making."

Selected Publications

（1）Bin Wu ,Huang huang, Validation of an in-house Turbomachinery Aeroelastic Code based on 3D Time-Linearized Method, The 9th Annual Power Conference of Chinese Aeronautical Society，Excellent Paper,2018

（2）Bin Wu, Wei-Tao Bi, Fazle Hussain, and Zhen-Su She. On the invariant mean velocity profile for compressible turbulent boundary layers, Journal of turbulence,2017

（3）Bin Wu, Wei-Tao Bi, Fazle Hussain, Xin-Liang Li, and Zhen-Su She. A symmetry based approach to quantifying the compressible turbulent boundary layer,68th Annual Meeting of the APS Division of Fluid Dynamics, Boston, Ma,2015

(4) Bin Wu, Wei-Tao Bi, Yousheng Zhang, and Zhen-Su She, Multilayer Scaling Of Mean Velocity And Thermal Fields Of Compressible Turbulent Boundary Layers, The 8th National Academic Conference on Fluid Mechanics,2014

(5) Bin Wu, Hongyue Zou, Yanchao Hu, Xi Chen, Wei-Tao Bi, Xin-liang Li and Zhen-Su She, Quantitative theory of supersonic compression corner mean velocity profiles, Chinese Conference of Theoretical and Applied Mechanics, 2013