Biography: Spencer Sherwin is Head of Department and Professor of Computational Fluid Mechanics in the Department of Aeronautics 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. Previously he also held 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.
Slaughter J, Moxey D, Sherwin S, 2023, Large Eddy Simulation of an Inverted Multi-element Wing in Ground Effect, Flow, Turbulence and Combustion, Vol:110, ISSN:1386-6184, Pages:917-944
et al., 2023, Stable, entropy-pressure compatible subsonic Riemann boundary condition for embedded DG compressible flow simulations, Journal of Computational Physics, Vol:476, ISSN:0021-9991, Pages:1-22
et al., 2023, Modification of the swirling well cell culture model to alter shear stress metrics, Biotechnology and Bioengineering, ISSN:0006-3592
et al., 2023, Large Eddy simulations of isolated and installed jet noise using the high-order discontinuous Galerkin method, AIAA SCITECH 2023 Forum, American Institute of Aeronautics and Astronautics, Pages:1-21
et al., 2023, High Fidelity Compressible and Incompressible Flow Simulations of an Engine Intake Pressure Distribution