This researcher has focused their work on developing and analyzing numerical methods for solving complex partial differential equations (PDEs) arising in applications such as fluid dynamics, structural mechanics, and materials science. Their primary research interest lies in reduced-order modeling techniques to efficiently capture the essential dynamics of multiscale systems, with a particular emphasis on computational efficiency and uncertainty quantification. Additionally, they have made significant contributions to multiscale modeling approaches that bridge different physical scales through hybrid and partitioned coupling strategies. The overarching theme is the development of scalable algorithms for high-fidelity simulations while maintaining computational tractability, ensuring their methods are robust and applicable across a wide range of scientific and engineering challenges.
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