Imperial College London


Faculty of EngineeringDepartment of Earth Science & Engineering

Research Postgraduate



yezhang.li22 Website CV




2.45PRoyal School of MinesSouth Kensington Campus





Yezhang Li is currently a PhD student in Computational Fluid Dynamics (Ocean Modelling) supervised by Prof. Matthew Piggott and Dr. Stephan Kramer at Imperial College London.

Research fields

Current/Future research aspiration:

His current main research focuses on developing the advanced numerical models based on discretization schemes implemented in the Thetis and Firedrake framework on unstructured meshes, combining with statistical techniques and uncertainty quantification to solve the fluid dynamic problems based on Naiver-Stokes (NS) equations in ocean modelling.

Benchmarking for Tsunami Ocean Modelling

To design the benchmark problems (hydrostatic, non-hydrostatic or fully nonlinear Boussinesq wave models) for verification and validation (V&V).

Mesh adaptation & Mesh Movement Method for Shallow Water Equations (SWE)

To build up the finite element (FE) schemes with adaptive mesh refinement for solving time-dependent SWE based problems in tsunami & ocean modelling.

(Further research fields/topics will be updated here as the work develops.)

Past research experiences/background:

He has cross-disciplinary interests in numerical modelling and development of partial differential equations (PDEs) solver. He has been working on the formation and evolution of star clusters based on three-dimensional morphology and kinematical dynamics of open clusters by mathematical modelling and machine learning neural network based on self-organizing map (SOM) since 2020. After that he worked on numerical simulation for ocean acoustics based on the Helmholtz equations, and numerical verification of the dynamic models of three degree of freedom (3-DOF) robot arm based on recognition of spatial coordinates in 2022.

Teaching Assistant

  • EART50018 - Seismology & Numerical Methods
  • EART50010 - Mathematics for Scientists & Engineers


  • Oct 2023-Oct 2027: Doctor of Philosophy (PhD), Computational Fluid Dynamics (Ocean Modelling), Imperial College London, UK
  • Oct 2022-Oct 2023: Master of Science (MSc), Applied Computational Science and Engineering, Imperial College London, UK
  • Oct 2020-Jun 2022: Bachelor of Science (BSc), Mathematics, University of Liverpool, UK
  • Sept 2018-Aug 2020: Bachelor of Science (BSc), Applied Mathematics, Xi’an Jiaotong-Liverpool University, China