Mohammad Alhawwary
Lead Engineer, CFD Methods at GE Aerospace
College Station, Texas, United States
Summary
👤
Senior🎓
Top SchoolMohammad Alhawwary is a Lead Engineer in CFD Methods with nine years of experience building high-fidelity CFD solvers and pushing them to exascale performance for turbomachinery and aeroacoustic applications. He combines a PhD-level research background in aerodynamics and fluid mechanics with hands-on software engineering in C/C++, MPI, OpenMP and Python to deliver production-grade tools used on leadership-class systems like Frontier at ORNL. His expertise spans high-order methods (DG, FR, SD), LES, and acoustic analogies, translated into multiple publications and solver capabilities for industry-grade codes such as GENESIS and PyFR. At GE Aerospace he shapes CFD strategy and implements scalable implicit and parallel algorithms to meet accuracy and performance targets for open-fan simulations. Mohammad’s profile blends deep theoretical insight—e.g., dispersion/dissipation analyses for LES—with practical impact in commercial and research products, mentoring students and contributing to solver roadmaps. Based in College Station, TX, he brings a rare combination of academic rigor and production engineering to complex, large-scale fluid dynamics problems.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Aerospace Engineering, GPA 4.0/4.0, Doctor of Philosophy - PhD, Aerospace Engineering, GPA 4.0/4.0 at University of Kansas - School of EngineeringMaster of Science (M.Sc.), Aerospace Engineering, CFD, Aerodynamics, GPA 3.5/4.0, Master of Science (M.Sc.), Aerospace Engineering, CFD, Aerodynamics, GPA 3.5/4.0 at Cairo University
English, Arabic
Github Skills (4)
machine-learning7
pytorch7
python2
pyodide1
Programming languages (1)
Github contributions (5)
mhawwary/fvm2d_solver
Mar 2017 - May 2020
Contributions:17 commits, 1 push, 1 branch in 3 years 1 month
mhawwary/PyFR
Oct 2021 - May 2022
PyFR
Contributions:24 pushes, 4 branches in 7 months
pytorchpyodidepythonmachine-learning
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