Data & Decision Sciences
727 Prices Fork Road
Blacksburg, VA 24061-1026
Professor Miedlar's research lies in the general area of numerical linear algebra, numerical analysis for partial differential equations (PDEs) and scientific computing. She conducts research in a range from theoretical investigations for problems motivated by applications to developing computational methods of practical relevance.
Her research is highly interdisciplinary. She collaborates with colleagues from other areas of mathematics, natural sciences and engineering to develop advanced algorithms to solve problems coming from applications in diverse fields.
Professor Miedlar's most recent research is strongly motivated by emerging challenges in large-scale (non)linear eigenvalue problems (NLEVPs) arising in breakthrough applications, e.g., electronic structure calculations, study of tidal motion and interior acoustic field computations, and in developing resilient numerical linear algebra tools for distributed and unreliable computing environments, e.g., for edge computing environments.
She has been supported by the Simons Foundation, the National Science Foundation (NSF) and the Lawrence Livermore National Laboratory (LLNL), and she is a recipient of the 2022 NSF CAREER Grant.