Muhammad Hamza
8 Courses • 0 StudentBiography
Muhammad Hamza is a PhD researcher at Northwestern Polytechnical University working at the intersection of machine learning, computational fluid dynamics (CFD), and aerodynamics. With a strong foundation in theoretical modeling and numerical simulation, he integrates data-driven techniques with physics-based methods to tackle complex engineering problems. His work spans surrogate and reduced-order modeling for fluid flows, machine-learning-enhanced turbulence modeling, AI/ML applications in structural analysis alongside CFD, and simulation-in-the-loop optimization of aerodynamic designs. As the creator and instructor of “Artificial Intelligence for Engineers: CFD, Structures & Aerodynamics,” Muhammad bridges traditional engineering approaches with modern AI to help engineers and researchers build faster, more accurate, and more creative simulation workflows. For collaboration or queries, email [email protected] or reach him on WhatsApp at +86 155 2908 9657 / +92 310 5601600.
