Imperial College London


Faculty of EngineeringDepartment of Aeronautics

Head of the Department of Aeronautics



+44 (0)20 7594 5052s.sherwin Website




313BCity and Guilds BuildingSouth Kensington Campus





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.

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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. 



Lahooti M, Bao Y, Scott D, et al., 2023, LES/DNS fluid-structure interaction simulation of non-linear slender structures in Nektar plus plus framework, Computer Physics Communications, Vol:282, ISSN:0010-4655

Moura RC, Fernandes LD, Silva AFC, et al., 2022, Spectral/hp element methods' linear mechanism of (apparent) energy transfer in Fourier space: Insights into dispersion analysis for implicit LES, Journal of Computational Physics, Vol:471, ISSN:0021-9991

Chun S, Marcon J, Peiro J, et al., 2022, Reducing errors caused by geometrical inaccuracy to solve partial differential equations with moving frames on curvilinear domain, Computer Methods in Applied Mechanics and Engineering, Vol:398, ISSN:0045-7825

Weinberg P, Kandangwa P, Torii R, et al., 2022, Influence of right coronary artery motion, flow pulsatility and non-Newtonian rheology on wall shear stress metrics, Fontiers in Bioengineering and Biotechnology, ISSN:2296-4185


Lyu G, Chen C, Du X, et al., Open-source Framework for Transonic Boundary Layer Natural Transition Analysis over Complex Geometries in Nektar++, AIAA Aviation 2022 Forum

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