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My research focuses on the study of methods for fluid flows analysis from image sequences. This concerns essentially the study of methodologies for the estimation or the tracking along time of features transported by the flow. To that end we rely on methods allowing the coupling between dynamics models and image data. The set up of large scale stochastic dynamical models, the identification of reduced order dynamical models, the devise of dedicated flow measurement techniques, as well as the design of image-based data assimilation frameworks are few research topics related to such an axis of work.
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arxiv(2024)
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Mathematics of planet earthpp.321-336, (2023)
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Mathematics of planet earthpp.293-319, (2023)
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Pierre-Marie Boulvard,Etienne Mémin
Foundations of Data Scienceno. 0 (2023): 0-0
Mathematics of Planet Earth Stochastic Transport in Upper Ocean Dynamics IIpp.223-245, (2023)
arXiv (Cornell University) (2023)
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