Minghao Rostami

Minghao Rostami is an Associate Professor in the Department of Mathematics and Statistics at Binghamton University. His research focuses on interdisciplinary problems at the intersection of applied mathematics, computational fluid dynamics, and biophysics, often leveraging machine learning and numerical methods.

His recent work spans topics such as mixed noise removal in signal processing, data-driven fluid trajectory prediction, and multi-scale modeling of actin polymer dynamics. Publications highlight collaborations between mathematical theory and biological applications, particularly in biofluid mechanics.

The trends in his publications from 2012 to 2025 emphasize scalable numerical algorithms for dense/sparse matrices, stability analysis in incompressible flows, and hybrid modeling frameworks combining machine learning with physical simulations. Specific subfields include multigrid methods, kernel regularization, and bio-inspired fluid pumping optimization.