My research interests broadly lie in the areas of scientific computation, differential equations, and mathematical physics. More specific topics include numerical methods for fluid-structure interactions, parallel implementation and preconditioning for large-scale simulations, modelling of biological locomotion, shape optimisation, adjoint-based optimal control, geometric integrators, exactly energy-conserving methods, Gaussian process regression and neural networks for data-driven optimisation, fluids on manifolds.
My academic background is rooted in Applied Mathematics and Computing, and I have extensive experience in modelling and simulation, gained from both academic and industrial environments. Additionally, I have teaching experience in subjects such as Calculus, Linear Algebra, Probability and Statistics, and Finite Element Analysis.
My recent research work includes surface fluids, fluid-structure interaction, optimal control for fluid dynamic systems, with a particular focus on FSI control (link to a talk), and an application to reconstruction of C. elegans locomotion (link to a talk)
PhD in Computational Fluid Dynamics.
MSc in Applied Mathematics.
BSc in Information and Computational Science.
Yongxing Wang
Academic: scsywan@leeds.ac.uk
Personal: yongxingwang6@gmail.com