Dr Yongxing Wang

Dr Yongxing Wang

Profile

I earned my PhD in fluid–structure Interactions from the School of Computing at the University of Leeds, where I studied from January 2015 to March 2018. During my doctoral studies, I also worked part-time as a Research Assistant for Gillette P&G, focusing on modelling and simulations related to shaving. Following my PhD, I held three Research Fellow positions in different departments at the university before joining the School of Computing as a Lecturer in 2022.

Prior to pursuing my doctoral studies, I worked as a software engineer at ECTec in Beijing from 2010 to 2014, where I focused on developing finite element software, pFEPG. Additionally, I was a mathematics lecturer at Hebei Agricultural University in Baoding, China, from 2004 to 2007, teaching Calculus, Linear Algebra, Probability and Statistics.

Research interests

My research interests broadly lie in the areas of scientific computing, differential equations, and mathematical physics. More specifically, my research focuses on finite element methods for fluid-structure interaction, parallel algorithms and preconditioning for large-scale simulations, mathematical modelling of biological locomotion, adjoint-based optimal control and shape optimisation, geometric integrators, exactly energy-conserving numerical methods, Gaussian process regression and neural networks for data-driven optimisation, fluids on manifolds, and numerical relativity.

Qualifications

  • 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

  • AMIMA
  • FHEA
  • SIAM

Student education

Numerical Computation, Calculus and Probability for Computer Science.

Research groups and institutes

  • Computational Science and Engineering
<h4>Postgraduate research opportunities</h4> <p>We welcome enquiries from motivated and qualified applicants from all around the world who are interested in PhD study. Our <a href="https://phd.leeds.ac.uk">research opportunities</a> allow you to search for projects and scholarships.</p>

Research outputs

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