Biography: Spencer Sherwin is Head of Aerodynamics and Professor of Computational Fluid Mechanics in the Department of Aeronautics and Director of Research Computing Service at Imperial College London. He received his MSE and PhD from the Department of Mechanical and Aerospace Engineering Department at Princeton University. Prior to this he received his BEng from the Department of Aeronautics at Imperial College London.
Group web page: www.sherwinlab.info
Research: Professor Sherwin leads an active research group specializing in the development and application of parallel high order spectral/hp element methods (Nektar ) for flow around complex geometries with a particular emphasis on vortical and bluff body flows and biomedical modelling of the cardiovascular system. More recently, he has been closely involved in industrial application of these methods through partnerships with McLaren Racing, Airbus and Rolls Royce. Recently he completed a RAEng/McLaren Racing Fellowship during which spectral/hp element methods were applied to problems of interest of Formula One aerodynamics that promoted the development of wall resolving large eddy simulation capabilities for highly unsteady and separated flows
Other Activities: Currently Professor Sherwin is Principal Investigator on the EPSRC funded Platform for Research In Simulation Methods. Professor Sherwin is also the academic lead to the Joint PhD programme with the University of São Paulo.
Hossain MZ, Cantwell CD, Sherwin SJ, 2021, A spectral/hp element method for thermal convection, International Journal for Numerical Methods in Fluids, ISSN:0271-2091
et al., 2021, Implicit large-eddy simulations of turbulent flow in a channel via spectral/hp element methods, Physics of Fluids, Vol:33, ISSN:1070-6631
Buscariolo FF, Assi GRS, Sherwin SJ, 2021, Computational study on an Ahmed Body equipped with simplified underbody diffuser, Journal of Wind Engineering and Industrial Aerodynamics, Vol:209, ISSN:0167-6105
et al., 2021, Estimating central blood pressure from aortic flow: development and assessment of algorithms, American Journal of Physiology-heart and Circulatory Physiology, Vol:320, ISSN:0363-6135, Pages:H494-H510
et al., 2021, Endothelial cells do not align with the mean wall shear stress vector, Journal of the Royal Society Interface, Vol:18, ISSN:1742-5662, Pages:1-10