I am a professor 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. Finally, we are looking at the potential of quantum algorithms for CFD.
Girayhan Ozbay A, Laizet S, 2023, FR3D: Three-dimensional flow reconstruction and force estimation for unsteady flows around extruded bluff bodies via conformal mapping aided convolutional autoencoders, International Journal of Heat and Fluid Flow, Vol:103, ISSN:0142-727X, Pages:1-15
Mays M, Lardeau S, Laizet S, 2023, Capturing the drag crisis in the flow around a smooth cylinder using a hybrid RANS-LES model on coarse meshes, International Journal of Heat and Fluid Flow, Vol:103, ISSN:0142-727X, Pages:1-14
Gori F, Laizet S, Wynn A, 2023, Sensitivity analysis of wake steering optimisation for wind farm power maximisation, Wind Energy Science, ISSN:2366-7443
Hodgkin A, Deskos G, Laizet S, 2023, On the interaction of a wind turbine wake with a conventionally neutral atmospheric boundary layer, International Journal of Heat and Fluid Flow, Vol:102, ISSN:0142-727X, Pages:1-16
Laizet S, Revell A, Emerson D, 2023, The UK Turbulence Consortium, Flow, Turbulence and Combustion, Vol:110, ISSN:0003-6994, Pages:773-774