Dr Yongxing Wang

Dr Yongxing Wang

Profile

I have been working in a broad range of subjects including fluid-structure interaction, optimal control for fluid dynamic systems, Gaussian process for machine learning, and optimisation using surrogate models, such as neural network, support vector machine and Gaussian process regression.  My scientific background lies in Mathematics and Computing, and I have extensive modelling and simulation experiences in both academia and industry, and teaching in Calculus and Linear Algebra, Probability and Statistics, Assembly Language, etc.

 

Research interests

My general research interest lies within finite element analysis, fluid dynamics, numerical analysis, functional analysis, PDE/ODE system and machine learning algorithms.

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Qualifications

  • PhD in Computational Fluid Dynamics, University of Leeds, Jan.2015 - Jun.2018
  • MSc in Computational Mathematics, Suzhou University, Sep.2007 - Sep.2010
  • BSc in Information and Computational Science, Yanshan University, Sep.2000 - Sep.2004

Professional memberships

  • SIAM

Research groups and institutes

  • Institute of Thermofluids