About Me
My name is Mohammed (Mo). Throughout my academic and professional career, I have developed expertise in research and development across aerospace and energy engineering, with a focus on computational physics for industrial applications, simulation and prediction software architectures, and computer-aided engineering software.
My work focuses on the intersection of physical models, mathematical methods, scalable algorithms, and computational environments to create reliable numerical simulation and prediction tools that run efficiently at scale on high-performance computing (HPC) platforms. My experience spans academic teaching, commercial computer-aided engineering software development, and industrial research and development in applications ranging from aerospace to energy.
Areas of Focus
- Scalable and Data-Driven Computing: high-performance computing (HPC), scalable algorithms, and AI/ML
- Simulation Software and CAE: software architecture, digital twins, and computer-aided engineering
- Computational Physics: multiphysics simulation and domain coupling
- Computational Geometry: meshing and domain decomposition
- Engineering Quality: standards, quality assurance (QA), and verification and validation (V&V)
Industry R&D and Academic Teaching
I approach engineering as an integrated discipline that brings together academic teaching, scientific research, and industry standards. The process begins with understanding physical phenomena and mathematical laws, continues with formulating physical models and numerical methods according to sound research principles, and includes verifying and validating results against rigorous quality standards. Solutions are then implemented efficiently and at scale to support market competitiveness. I also mentor future engineers, graduate students, and interns and develop educational materials that connect scientific foundations with evolving computational tools and real-world industrial problems.