Dr Yongxing Wang
- Position: Lecturer
- Areas of expertise: finite element methods; computational fluid dynamics; fluid-structure interaction; partial differential equations; optimal control; Gaussian process for machine learning; surrogate-based optimisation.
- Email: Y.Wang3@leeds.ac.uk
- Phone: +44(0)113 343 4874
- Location: 3.32A, Sir William Henry Bragg Building
- Website: My Personal Site | Googlescholar | Researchgate | ORCID
My primary research focus is Scientific Computation, with a specific interest in the design, implementation, and application of numerical methods for solving partial differential equations within the fields of fluid and solid mechanics. I am intrigued by the modelling and simulation of fluid and solid dynamics, especially the intricate interactions between them. This includes the implementation of large-scale simulations using parallel computing. In particular, I am exploring applications related to the interaction of the aortic valve with surrounding fluids and tissues, as well as simulating multiple biological swimmers moving through viscous fluids.
Another area of interest for me is solving inverse problems related to the aforementioned mechanical and biological applications by formulating optimal control problems at the continuous level. This facilitates rigorous numerical analysis and the study of the coupling between the primal and adjoint systems. Additionally, I employ data-driven methods such as Gaussian process regression or neural networks to construct surrogate models for the optimisation processes.
By joining Leeds WormLab, I am enthusiastic about comprehending the mechanism of C. elegans locomotion. This entails both forward and inverse modeling of C. elegans, incorporating data from laboratory experiments, using either a Cosserat rod or a 3D active fluid-structure interaction model. I am keen on gaining a more profound understanding of the muscle force distributions within the worm, along with its neural control mechanisms operating throughout its body. I am also interesed in extending the foundational principles and insights acquired from the study of C. elegans to other biological organisms or even engineering systems, such as the locomotion of sperm cells, microbots, or bio-inspired engineering designs.<h4>Research projects</h4> <p>Any research projects I'm currently working on will be listed below. Our list of all <a href="https://eps.leeds.ac.uk/dir/research-projects">research projects</a> allows you to view and search the full list of projects in the faculty.</p>
- 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
- Computational Science and Engineering
<li><a href="//phd.leeds.ac.uk/project/1392-modelling-and-simulation-of-fluid-structure-interaction-problems">Modelling and simulation of fluid-structure interaction problems</a></li>