Mikhail Zaslavskiy

Mikhail Zaslavskiy is an Assistant Professor at Southern Methodist University, holding a PhD from Lomonosov Moscow State University. His computational mathematics research focuses on forward and inverse PDE solutions through model reduction and multi-scale methods.

Applications span geophysical exploration, radar/medical imaging, NASA propellant tank analysis, and unsupervised machine learning techniques for clustering large datasets in bioinformatics, finance, and social networks. Research pillars include Krylov subspace methods for wave propagation problems, homogenization techniques, and data-driven nonlinear inverse problem solutions.