Muhammad Bilal is a researcher in applied and computational mathematics with a focus on the numerical solution of partial differential equations (PDEs). His work involves classical discretization techniques, including the finite difference method (FDM), finite element method (FEM), and finite volume method (FVM), along with emerging approaches such as physics-informed neural networks (PINNs). He works with tools such as MATLAB, FreeFEM++, OpenFOAM, and PyTorch to develop and implement numerical models, particularly in the area of computational fluid dynamics, micropolar flows, and heat transfer problems. His research is centered on combining reliable numerical schemes with modern computational techniques to handle complex, coupled systems. He has contributed to research on magneto–micropolar fluid flow and continues to explore efficient and accurate approaches for solving PDE-based models.