Research

Yongxing profile pic

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.

Education

[Jan.2015 - Jun.2018] University of Leeds, Leeds, UK.

PhD in Computational Fluid Dynamics.

Thesis title: A One-Field Fictitious Domain Method for Fluid-Structure Interactions. Advisor: Prof. Peter Jimack; Dr. Mark Walkley. Here is an introduction of this one-velocity-field method:

[Sep.2007 - Sep.2010] Suzhou University, Suzhou, China.

MSc in Applied Mathematics.

Thesis title: Meshfree methods for large solid deformation. Advisor: Prof. Rui Ding.

[Sep.2000 - Sep.2004] Yanshan University, Qinhuangdao, China.

BSc in Information and Computational Science.

Thesis title: Numerical Methods for Matrix Eigenvalue Problems. Advisor: Prof. Rui Shan.

Contacts

Yongxing Wang
Academic: scsywan@leeds.ac.uk
Personal: yongxingwang6@gmail.com

      ORCID