Department of Mathematical Sciences

Kathrin Smetana, assistant professor of mathematics at Stevens Institute of Technology, was recently awarded a five-year, $461,998 grant through the National Science Foundation (NSF)’s prestigious CAREER program to develop “Randomized Multiscale Methods for Heterogeneous Nonlinear Partial Differential Equations.” In her project, Smetana and her students will focus on designing multiscale methods via randomization techniques that have originally been proposed in the context of data science. They will use these randomization techniques to detect hidden structures in the local numerical simulation data, such as the simulations of the deformation of portions of wind turbines, and, in particular, to detect the functions that are relevant for the approximation of the solution of the PDE.

Kathrin Smetana, assistant professor of mathematics at Stevens Institute of Technology, was recently awarded a five-year, $461,998 grant through the National Science Foundation (NSF)’s prestigious CAREER program to develop “Randomized Multiscale Methods for Heterogeneous Nonlinear Partial Differential Equations.” In her project, Smetana and her students will focus on designing multiscale methods via randomization techniques that have originally been proposed in the context of data science. They will use these randomization techniques to detect hidden structures in the local numerical simulation data, such as the simulations of the deformation of portions of wind turbines, and, in particular, to detect the functions that are relevant for the approximation of the solution of the PDE.