Muhammad Mohebujjaman

An Evolve-Filter-Relax Stabilized Reduced Order Stochastic Collocation Method for the Time-Dependent Navier-Stokes Equations

Traian Iliescu, Max D. Gunzburger, Michael Schneier, 2019, SIAM/ASA J. Uncertain. Quantification.

High order efficient algorithm for computation of MHD flow ensembles pdf

Muhammad Mohebujjaman, M. Mohebujjaman, 2021, Advances in Applied Mathematics and Mechanics.

Data-Driven Filtered Reduced Order Modeling of Fluid Flows

Traian Iliescu, Leo G. Rebholz, Muhammad Mohebujjaman, 2017, SIAM J. Sci. Comput..

An Efficient Algorithm for Computation of MHD Flow Ensembles

Leo G. Rebholz, Muhammad Mohebujjaman, L. Rebholz, 2017, Comput. Methods Appl. Math..

High order algebraic splitting for magnetohydrodynamics simulation

Mine Akbas, Leo G. Rebholz, Mengying Xiao, 2017, J. Comput. Appl. Math..

Commutation error in reduced order modeling of fluid flows

Changhong Mou, Traian Iliescu, Muhammad Mohebujjaman, 2018, Advances in Computational Mathematics.

Decoupled, Unconditionally Stable, Higher Order Discretizations for MHD Flow Simulation

Leo G. Rebholz, Timo Heister, Muhammad Mohebujjaman, 2017, J. Sci. Comput..

Energy balance and mass conservation in reduced order models of fluid flows

Traian Iliescu, Leo G. Rebholz, Xuping Xie, 2017, J. Comput. Phys..

An optimally accurate discrete regularization for second order timestepping methods for Navier-Stokes equations

Nan Jiang, Leo G. Rebholz, Catalin Trenchea, 2016 .