Queen's Tower, summer 2022. By B Li.
Binghuan Webster Li [李 秉桓]
binghuan.li19 [at] imperial.ac.uk
I am a Research Postgraduate (Ph.D. Candidate) @ Biofluids and Transport Group, Department of Chemical Engineering, Imperial College London and an Engineering Development Intern @ Pathfinder Medical.
I hold an MEng in Biomedical Engineering with First Class Honours from the Department of Bioengineering (2019-23), with two years of research experience @ Cardiovascular Biomechanics and AI Laboratory (2021-23). The title of my MEng thesis is Surrogate Modelling of Fluid Dynamics within Various Vascular Geometries with Physics-Informed Neural Networks (June, 2023). The abstract can be found here.
My research focuses on the deployment and integration of computational mechanics frameworks to investigate the haemodynamics and mechanical responses of human cardiovascular structures and pathologies, through the development and application of numerical approaches including computational fluid dynamics, finite element analysis, fluid-structure interaction, and physic-informed machine learning.
I hold an MEng in Biomedical Engineering with First Class Honours from the Department of Bioengineering (2019-23), with two years of research experience @ Cardiovascular Biomechanics and AI Laboratory (2021-23). The title of my MEng thesis is Surrogate Modelling of Fluid Dynamics within Various Vascular Geometries with Physics-Informed Neural Networks (June, 2023). The abstract can be found here.
My research focuses on the deployment and integration of computational mechanics frameworks to investigate the haemodynamics and mechanical responses of human cardiovascular structures and pathologies, through the development and application of numerical approaches including computational fluid dynamics, finite element analysis, fluid-structure interaction, and physic-informed machine learning.
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