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Matteo Parsani

Assistant Professor, Applied Mathematics and Computational Science
Computer, Electrical and Mathematical Science and Engineering Division
Center membership : 
Extreme Computing


Affiliations

Education Profile

  • ​​​​​​​NASA Postdoctoral Fellow, NASA Langley Research Center (LaRC), Hampton, Virginia, US, 2013-2015
  • Postdoctoral Fellow, Department of Applied Mathematics and Computational Science, King Abdullah University of Science and Technology, 2011-2012
  • Ph.D. Mechanical Engineering, Vrije Universiteit Brussel, November 2010
  • M.Sc. Aerospace Engineering, Politecnico di Milano, December 2006

Research Interests

​Professor Matteo Parsani’s research interests are related to the design and implementation of novel, robust, and scalable numerical methods on unstructured grids for hyperbolic and mixed hyperbolic/parabolic partial differential equations, as well as their application to solve 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. Application domains that are currently driving his research are computational aero and gas dynamics, dense gas flows simulations, and computational aeroacoustics. Professor Parsani’s research interests at KAUST will focus on the design and implementation of non-linearly stable, high-order adaptive numerical methods for solving industrial hitherto intractable multi-scale flow problems (e.g., highly-separated turbulent flows with LES and DNS; and supercritical fluids at different flow regimes) on hundreds of thousands of cores and the emerging heterogeneous data-centric computing hardware (CPUs + GPUs).

Selected Publications

  • ​Parsani, M., Carpenter, M. H., and Nielsen, E. J. Entropy stable wall boundary conditions for the three-dimensional compressible Navier-Stokes equations, Journal of Computational Physics, 292(1): 88-113, 2015. doi:10.1016/j.jcp.2015.03.026
  • Parsani, M., Carpenter, M. H., and Nielsen, E. J. Entropy stable discontinuous interface coupling for the three-dimensional compressible Navier-Stokes equations, Journal of Computational Physics, 290(1): 132-138, 2015. doi:10.1016/j.jcp.2015.02.042
  • Parsani, M., Ketcheson, D. I., Deconinck, W. Optimized explicit Runge-Kutta schemes for the spectral difference method applied to wave propagation problems, SIAM Journal on Scientific Computing, 35(2): A957-A986, 2013. doi:10.1137/120885899
  • Ketcheson, D.I, Parsani, M., LeVeque, R. J. High-order wave propagation algorithms for hyperbolic systems, SIAM Journal on Scientific Computing, 35(1): A351-A377, 2013. doi:10.1137/110830320
  • Parsani, M., Ghorbaniasl, G., Lacor, C., Turkel, E. An implicit high-order spectral difference approach for large eddy simulations, Journal of Computational Physics, 229(14): 5373-5393, 2010. doi:10.1016/j.jcp.2010.03.038
  • Parsani, M., Van den Abeele, K., Lacor, C., Turkel, E. Implicit LU-SGS algorithm for high-order methods on unstructured grid with p-multigrid strategy for solving the steady Navier-Stokes equations, Journal of Computational Physics, 229(3): 828-850, 2010. doi:10.1016/j.jcp.2009.10.014