I am a senior lecturer in the Department of Aeronautics at Imperial College London (ICL). I hold a PhD and a Habilitation à Diriger des Recherches from the University of Poitiers in France in the field of Computational Fluid Dynamics (CFD) applied to turbulence.
Understanding turbulent flows and how to use them in various engineering applications is the motivation behind my research. With my collaborators at Imperial College, in France and in Brazil, we develop high-order finite-difference highly-scalable flow solvers dedicated to turbulent flows.
Within the turbulence simulation group, we are currently investigating wake-to-wake interaction in wind farms, Bayesian optimisation techniques for drag reduction and energy saving, active control solutions of free shear flows, immersed boundary methods for moving objects, neural networks applied to computational fluid dynamics and particle-laden gravity currents.
Deskos G, Laizet S, Piggott MD, 2019, Turbulence-resolving simulations of wind turbine wakes, Renewable Energy, Vol:134, ISSN:0960-1481, Pages:989-1002
et al., 2019, Representation of stress tensor perturbations with application in machine-learning-assisted turbulence modeling, Computer Methods in Applied Mechanics and Engineering, Vol:346, ISSN:0045-7825, Pages:707-726
Bartholomew P, Laizet S, A new highly scalable, high-order accurate framework for variable-density flows: application to non-Boussinesq gravity currents, Computer Physics Communications, ISSN:0010-4655
Margnat F, Ioannou V, Laizet S, 2018, A diagnostic tool for jet noise using a line-source approach and implicit large-eddy simulation data, Comptes Rendus Mecanique, Vol:346, ISSN:1631-0721, Pages:903-918