Muhammad Hamza
5 Courses • 0 StudentBiography
Muhammad Hamza, PhD Research Scholar
Muhammad Hamza is currently pursuing his PhD at Northwestern Polytechnical University, where his research lies at the intersection of machine learning, computational fluid dynamics (CFD), and aerodynamics. With a solid foundation in theoretical modeling and numerical simulation, he integrates data‑driven techniques with physics‑based methods to solve complex engineering problems.
Over the years, his work has spanned:
Developing surrogate models and reduced‑order models for fluid flows
Enhancing turbulence modeling using machine learning
Applying AI/ML to structural analyses in conjunction with CFD
Optimizing aerodynamic designs via simulation-in-the-loop learning
As the creator and instructor of the course Artificial Intelligence for Engineers: CFD, Structures & Aerodynamics, Muhammad bridges traditional engineering approaches and modern AI methods. His goal is to empower engineers and researchers to harness machine learning tools for faster, more accurate, and more creative simulation workflows.
When not immersed in research or teaching, he enjoys staying at the forefront of both AI and engineering literature, exploring emerging techniques, and mentoring students in interdisciplinary engineering projects.
