Brian Vermeire

Brian Vermeire is an Associate Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University. His research focuses on computational fluid dynamics, aerodynamics, high-performance computing, turbulence modeling, numerical methods, and optimization. He leads the Computational Aerodynamics Laboratory, emphasizing scale-resolving simulations and high-order numerical techniques. Key interests include large eddy simulation (LES), direct numerical simulation (DNS), and gradient-free optimization. His work often involves developing advanced algorithms for unstructured grids and high-performance computing platforms.

Research Interests:

• High-order numerical methods
• Implicit/explicit time integration schemes
• Polynomial adaptation for adaptive meshing
• Aeroacoustic shape optimization
• Large eddy simulation (LES) and direct numerical simulation (DNS)
• Software development for CFD (e.g., PyFR)

Recent work trends show strong focus on hybridized flux reconstruction methods, energy-conservative algorithms, and industrial adoption of high-fidelity simulations. Major contributions include scalable implementations for petascale computing and open-source tools like PyFR. His group collaborates on applications such as wind turbine aerodynamics and low-pressure turbine design.

Labs/Teams: Computational Aerodynamics Laboratory (website: link)