Welcome to FluidSim Lab - College of Computing

FluidSim Lab - College of Computing is a research group dedicated to advancing the field of computational fluid dynamics (CFD). At the forefront of cutting-edge studies and simulations, our team delves into a diverse range of projects spanning development and applied numerical research.

Our Mission:

FluidSim Lab - College of Computing is committed to advancing the science of CFD by new mathematical methodologies that enhance the robustness of CFD simulations. Our mission extends to providing CFD analyses for various domains, including air conditioning, oil and gas, aerodynamics, heat transfer, and more.

Research Focus:

Currently, our research interests revolve around designing and implementing innovative numerical methods for hyperbolic and mixed hyperbolic/parabolic partial differential equations. These methods find application in solving realistic flow problems across diverse areas of natural science and engineering.

Advising and Mentoring

PhD Students

• 2022-present: Sarah Baaziz
  Research Interests: Turbulence, simulations, DNS/LES, GPU acceleration.
• 2022-present: Samir Eloteby
  Research Interests: Computational methods, High-speed flows.
• 2021-present: Fatima Ez-Zahra El Hamra
  Research Interests: Simulations, Non-Newtonian Fluid, Granulation.

Master Students

• 03/2022 -- 10/2022: Sarah Baaziz (University of Lille -- France)
  A GPU-accelerated compressible DNS/LES solver for compressible, reacting, and multi-species flows.
• 02/2022 -- 08/2022: Elouali Khayya (Hassan II University of Casablanca)
  Dynamic mode decomposition and its applications in fluid dynamics.
• 02/2022 -- 08/2022: Imad Eddine Maach (ENSAM of Rabat)
  Machine learning -- accelerated computational fluid dynamics.

Former PhD and Visiting Students

• 2021-2023: Marwane Elkarii
  CFD Simulation and Investigation of Slurry Flows in Pipelines.

Overview

All of our research projects fall in the category of computational science, which is the multi-disciplinary mix of applied math and numerical methods, programming for massively parallel supercomputing, and the physics of turbulence and fluid mechanics. Our overall vision is to bring high-fidelity turbulence simulations to the point where they can be routinely applied to real problems in engineering practice. This vision informs all of our work. In some projects we use supercomputing resources to learn more about turbulence physics, and we then try to take that knowledge to build new theoretical models that can be used to make predictions, build lower-cost models, and in general encode our understanding. In other projects we directly develop new algorithms or mathematical models, and then always with a mindfulness of how they would be used in practice.

Current interests

• Physics of supersonic turbulence & multiphase flows.
• Droplet turbulence interaction
• Shock/Turbulence interaction
• Immersed Boundary Method
• Multi-scale and Multi-physics simulations
• Direct Numerical Simulation of turbulent combustion
• High Performance Computing