KAUST Sci-Café Speaker on Wednesday, December 1, 2021 at 16:00​

Professor Matteo Parsani's research interests are related to developing novel, robust, and scalable numerical methods on unstructured grids for hyperbolic and mixed hyperbolic/parabolic partial differential equations and their application to solving realistic flow problems in various areas of natural science and engineering. To this end, he combines numerical analysis, physics, and high-performance computing to develop robust spatial and temporal discretizations with better mathematical and numerical properties that account for the physical phenomena being modeled and the modern computing architectures.

The application domains that are currently driving Matteo's research are compressible computational aerodynamics (e.g., highly-separated turbulent flows with large eddy simulation around aeronautic and aerospace vehicles), dense gas flows simulations (supercritical fluids at different flow regimes), and computational aeroacoustics for noise reduction. He is currently collaborating with automotive and aerospace companies and national laboratories for aerodynamic and aeroacoustic applications. 

One of Professor Parsani's main goals is to develop efficient predictive computational fluid dynamic technologies for optimizing engineering designs based on flow dynamics and heat transfer that improve energy efficiency and reduce environmental impacts. 

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