UTFacultiesEEMCSDisciplines & departmentsMathematics of Computational ScienceMCS in the NewsDongwei Ye (DAMUT-MIA) receives one of the ten promising research projects on artificial intelligence starting within NGF AiNed XS Europa!.
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Dongwei Ye (DAMUT-MIA) receives one of the ten promising research projects on artificial intelligence starting within NGF AiNed XS Europa!.

news
17 April 2024

With these subsidies from the National Growth Fund programme AinEd promising ideas and innovative and speculative initiatives in the artificial intelligence domain can be explored. The projects are designed in collaboration with at least one European collaborative partner organization.

The themes of the projects vary from research on fungi, large-language-models, and several medical applications. Such as: medical imaging, research on antibiotic resistance and breast cancer diagnosis. In all these different fields of research, AI has a possible positive contribution to make. A strong AI knowledge and innovation foundation is important to the Netherlands. An important aspect of which is the connectivity of Dutch researchers with the wider world, and especially Europe.

One of the ten honoured projects is the project proposal of the postdoc in the MIA chair: Dongwei Ye  .

Dr. Dongwei Ye

Geometric deep learing of shape variatgions in hemodynamic simulation

This project aims to improve the efficiency and expressiveness of hemodynamic simulations by shifting from traditional physics-based models to data-driven approaches using geometric deep learning. By leveraging the expressive power of graph neural networks facilitated with physical awareness, the research seeks to enhance predictions of hemodynamic properties in patient-specific vessel geometries. The project outcomes will advance clinical decision-making and provide real-time insights into vascular diseases based on patient-specific data. Our findings will also provide new primitives for parameter study and statistical analysis of hemodynamic models with significantly reduced computational costs.

Dr. Dongwei Ye
Postdoc MIA chair
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