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.
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
Research groups and institutes
Institute of Thermofluids