Mohammed Sayyari
Adjunct Assistant Professor at Old Dominion University
United States
Summary
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Senior🎓
Top SchoolMohammed Sayyari is an applied mathematician and computational scientist with a decade of experience developing positivity-preserving, provably stable high-fidelity numerical schemes for the Navier–Stokes equations and other fluid dynamics problems. Currently a postdoc and Adjunct Assistant Professor at Old Dominion University, he bridges rigorous mathematical analysis with scalable HPC implementations aimed at fire simulation and numerical weather prediction. His work extends relaxation Runge–Kutta methods to nonlinear convex functionals such as entropy, delivering provable full discretization stability rather than stability only of spatial operators. Mohammed has taught and designed courses across mathematics and computer science—creating a novel Numerical Methods for Internal Aerodynamics course—and remains engaged in pedagogy research to improve student problem-solving and questioning strategies. Trained at KAUST with a strong computer science background from Kansas State, he combines theoretical depth with practical coding and international collaborations to push robust algorithms toward real-world simulation challenges.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Applied Mathematics, Doctor of Philosophy - PhD Applied Mathematics at KAUST (King Abdullah University of Science and Technology)Bachelor’s Degree Mathematics Minor and Computer Science, Bachelor’s Degree Mathematics Minor and Computer Science at Kansas State University
Arabic, English, German, Japanese
Github Skills (3)
game-development2
synthetic1
game-engine1
Programming languages (1)
Github contributions (5)
HexTree/CoffeePoints
Dec 2016 - Mar 2017
Contributions:82 commits, 40 PRs, 50 pushes in 3 months
sayyari/SSWBCEulerian
Jun 2021 - Aug 2024
Contributions:4 releases, 3 pushes, 1 branch in 3 years 2 months
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