Muhammad Mohebujjaman

According to our database, Muhammad Mohebujjaman authored at least 24 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

A simple-to-implement nonlinear preconditioning of Newton's method for solving the steady Navier-Stokes equations.

Muhammad Mohebujjaman, Mengying Xiao, Cheng Zhang

Comput. Math. Appl., 2026

2025

Self-adaptive physics-informed neural network for forward and inverse problems in heterogeneous porous flow.

Md. Abdul Aziz, Thilo Strauss, Muhammad Mohebujjaman, Taufiquar Khan

CoRR, December, 2025

Efficient and Optimally Accurate Numerical Algorithms for Stochastic Turbulent Flow Problems.

Brandiece N. Berry, Md. Mahmudul Islam, Muhammad Mohebujjaman, Neethu Suma Raveendran

CoRR, August, 2025

Efficient, Accurate, and Robust Penalty-Projection Algorithm for Parameterized Stochastic Navier-Stokes Flow Problems.

Neethu Suma Raveendran, Md. Abdul Aziz, Sivaguru S. Ravindran, Muhammad Mohebujjaman

CoRR, February, 2025

Two-Grid Stabilized Lowest Equal-Order Finite Element Method for the Dual-Permeability-Stokes Fluid Flow Model.

Md. Nazmul Haque, Nasrin Jahan Nasu, Md. Abdullah Al Mahbub, Muhammad Mohebujjaman

J. Sci. Comput., January, 2025

Decoupled algorithms and analyses for an advection-reaction-diffusion model with stocking and harvesting.

Mayesha Sharmim Tisha, Md. Kamrujjaman, Muhammad Mohebujjaman, Taufiquar Khan

Comput. Math. Appl., 2025

2024

An Efficient and Accurate Penalty-projection Eddy Viscosity Algorithm for Stochastic Magnetohydrodynamic Flow Problems.

Muhammad Mohebujjaman, Julián D. Miranda, Md. Abdullah Al Mahbub, Mengying Xiao

J. Sci. Comput., October, 2024

Decoupled algorithms for non-linearly coupled reaction-diffusion competition model with harvesting and stocking.

Muhammad Mohebujjaman, Clarisa Buenrostro, Md. Kamrujjaman, Taufiquar Khan

J. Comput. Appl. Math., January, 2024

Two Robust, Efficient, and optimally Accurate Algorithms for parameterized stochastic navier-stokes Flow Problems.

Neethu Suma Raveendran, Md. Abdul Aziz, Muhammad Mohebujjaman

CoRR, 2024

Stocking and Harvesting Effects in Advection-Reaction-Diffusion Model: Exploring Decoupled Algorithms and Analysis.

Mayesha Sharmim Tisha, Md. Kamrujjaman, Muhammad Mohebujjaman, Taufiquar Khan

CoRR, 2024

2023

Spatio-temporal solutions of a diffusive directed dynamics model with harvesting.

Md. Kamrujjaman, Kamrun Naher Keya, Ummugul Bulut, Md Rafiul Islam, Muhammad Mohebujjaman

J. Appl. Math. Comput., February, 2023

A Penalty-projection based Efficient and Accurate Stochastic Collocation Method for Magnetohydrodynamic Flows.

Muhammad Mohebujjaman, Julián D. Miranda, Md. Abdullah Al Mahbub, Mengying Xiao

CoRR, 2023

2022

Dynamics of heterogeneous population due to spatially distributed parameters and an ideal free pair.

Ishrat Zahan, Md. Kamrujjaman, Md Abdul Alim, Muhammad Mohebujjaman, Taufiquar Khan

Frontiers Appl. Math. Stat., 2022

The role of harvesting and growth rate for spatially heterogeneous populations.

Md. Mashih Ibn Yasin Adan, Md. Kamrujjaman, Md. Mamun Molla, Muhammad Mohebujjaman, Clarisa Buenrostro

CoRR, 2022

An efficient algorithm for parameterized magnetohydrodynamic flow ensembles simulation.

Muhammad Mohebujjaman, Hongwei Wang, Leo G. Rebholz, Md. Abdullah Al Mahbub

Comput. Math. Appl., 2022

2021

An efficient algorithm for simulating ensembles of parameterized MHD flow problems.

Muhammad Mohebujjaman, Hongwei Wang, Leo G. Rebholz, Md. Abdullah Al Mahbub

CoRR, 2021

High order efficient algorithm for computation of MHD flow ensembles.

Muhammad Mohebujjaman

CoRR, 2021

2019

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

Max D. Gunzburger, Traian Iliescu, Muhammad Mohebujjaman, Michael Schneier

SIAM/ASA J. Uncertain. Quantification, 2019

Commutation error in reduced order modeling of fluid flows.

Birgul Koc, Muhammad Mohebujjaman, Changhong Mou, Traian Iliescu

Adv. Comput. Math., 2019

2018

Data-Driven Filtered Reduced Order Modeling of Fluid Flows.

Xuping Xie, Muhammad Mohebujjaman, Leo G. Rebholz, Traian Iliescu

SIAM J. Sci. Comput., 2018

2017

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

Timo Heister, Muhammad Mohebujjaman, Leo G. Rebholz

J. Sci. Comput., 2017

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

Muhammad Mohebujjaman, Leo G. Rebholz, Xuping Xie, Traian Iliescu

J. Comput. Phys., 2017

High order algebraic splitting for magnetohydrodynamics simulation.

Mine Akbas, Muhammad Mohebujjaman, Leo G. Rebholz, Mengying Xiao

J. Comput. Appl. Math., 2017

An Efficient Algorithm for Computation of MHD Flow Ensembles.

Muhammad Mohebujjaman, Leo G. Rebholz

Comput. Methods Appl. Math., 2017