Research

Yongxing profile pic

My main area of research lies within Scientific Computation, with a specific focus on the design, implementation, and application of numerical methods for solving partial differential equations in the fields of fluid and solid mechanics.

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 work encompasses a variety of subjects, including fluid-structure interaction, optimal control for fluid dynamical systems, with a particular focus on FSI control (link to a talk), Gaussian Process (GP) for machine learning, and optimisation using surrogate models.

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

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