Computational and applied mathematicians model phenomena from a wide variety of science and engineering disciplines and design computer algorithms to solve the resulting mathematical problems. Faculty at Michigan Tech study problems from fluid dynamics, model polymers and multiphase flows, simulate optical phenomena, and study composite materials. Several faculty focus on the design and analysis of numerical methods for solving partial differential equations.
Applied mathematics; Online and hybrid (online/classroom) education
Turbulence Modeling, Computational Fluid dynamics; High-accuracy numerical methods for PDEs; Uncertainty Quantification, high-dimensional integration
Scientific computing; Numerical PDEs; Parallel Computing; Randomized Numerical Linear Algebra; Dimension Reduction
Algorithms that can be parallelized on GPUs; Applications of differential equations to science and engineering
Numerical Methods for PDEs; Inverse Problems; Scientific Computing; EM methods in Geophysics
Numerical PDE, Scientific computing; Computational modeling of Nafion material; Mathematical image processing, inverse problems, nonlinear optics
Superconvergence of discontinuous Galerkin methods; Numerical cosmology; Single and multi-phase flows in (fractured) porous media; Discrete fracture model; Numerical methods for partial differential equations with blow-up solutions; Numerical simulations for gaseous detonation