Dr Yongxing Wang

Dr Yongxing Wang

  • I have been working in a broad range of subjects including fluid-structure interaction, optimal control for fluid dynamical systems, Gaussian Process (GP) for machine learning, and optimisation using surrogate models, such as neural network, support vector machine and GP regression.  My scientific background lies in Applied Mathematics and Computing, and I have extensive modelling and simulation experiences in both academia and industry, and teaching experiences in Calculus, Linear Algebra, Probability and Statistics, and Finite Element Analysis.

    Research interests

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


    • 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

Contact Details

  • E-mail:
  • Address
    School of Mechanical Engineering
  • City
    Woodhouse Lane, Leeds
  • Zip Code
    LS2 9JT
  • Country
    United Kingdom