
I am currently a postdoctoral researcher in Mathematics of Imaging & AI group at University of Twente under the guidance of Dr. Mengwu Guo and Prof Christoph Brune. My research interest includes but not limited to, reduced-order modelling for PDEs, Gaussian process learning, and scientific machine learning.
If you are interested in working on the related topic for master thesis or internship, feel free to contact me.
News
- Our work on 'A parametric framework for kernel-based dynamic mode decomposition using deep learning', conducted by UvA computational science master student Konstantinos Kevopoulos, has been available on Arxiv. Congratulation, Kostas!
- I am excited to be granted one of the National Growth Fund programme AiNed XS project on 'Geometric deep learing of shape variatgions in hemodynamic simulation'. Cheers!
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It's my great pleasure to present and share our latest work on 'Gaussian process learning for nonlinear dynamics' at the Scientific Machine Learning Workshop at CWI!
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I am excited to share our latest publication: Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots!
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I am excited to present our work 'registration-based reduced-order modelling for blood flow simulations' at CompBioMed Conference, Munich, Garching.
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