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Queen Mary University of LondonQueen Mary University of London
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Dr Sergey Karabasov
BSc, MSc, PhD, DSc, FHEA

 
Dr Karabasov
Position: Reader in Computational Modelling
Chair of Taught Postgraduate Subject Examination Board
Tel: +44 (0)20 7882 7650
Email: s.karabasov@qmul.ac.uk
Location: 319, Engineering, Mile End
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support hours:
Friday, 9.00 - 10.00
Research keywords: Fluid dynamics, computational aeroacoustics and aerodynamics, large-eddy simulations, meso-scale ocean modelling, fluctuating hydrodynamics for nano-scale flows , numerical methods for hyperbolic conservation laws
Affiliations: Senior Member of the American Institute of Aeronautics and Astronautics
(AIAA), Member of the Royal Society's Research Grant Scheme Board
(Physical Sciences) and Equality and Diversity Advisory Network (EDAN), Member of the Aeroacoustics Section of the Acoustics
Panel of Russian Academy of Science, Fellow of The Higher Education Academy

Brief Biography

His work typically combines high-resolution methods (large-eddy simulations, numerical schemes, high-performance computing) with model decomposition approaches (acoustic analogy, integral surface methods, vortex sound theory). In unsteady aerodynamics and aeroacoustics his interests lie in high speed jet noise (mixing noise, shock associated noise, and installation noise), trailing edge noise, and rotating machinery noise (helicopter noise, wind turbine noise, and UAV noise).
In aeroacoustics, he has pioneered the use of Large Eddy Simulations in application to the Goldstein Generalised Acoustic analogy for high-Reynolds jet flows both as the tool to inform physically insightful low order modelling (AIAAJ 2010) and the part of a new volume integral method for predicting the far-field noise and analysing its effective sources in the jet volume from first principles (J.Fluid Mech. 2018).
His other contributions include development of the perturbed nonlinear Euler method for transonic helicopter noise modelling (AIAAJ 2005), an improved low-order noise prediction scheme for Broad Band Shock Associated Noise based on acoustic analogy and the mixed scale model (J.Sound&Vib. 2017) as well as a new hybrid computational model for broadband-tonal airfoil noise calculations based on the vortex sound method, the fast random particle method, and the scale decomposition (J.Sound&Vib. 2017).
He is one of the main developers of the high-resolution CABARET scheme for computational aeroacoustics problems (AIAAJ 2007) and its applications for high-fidelity jet flow and noise modelling (Comp&Fluids 2013 and Comp. Rendus Mecanique 2018).
In addition to aeroacoustics, his other areas of research interest are multiscale modelling (combining computational fluid dynamics with molecular dynamics simulations, Sergey was a guest editor of the Royal Society Phil.Trans. A Theme Issue on this topic in 2014) and computational geophysics (modelling of meso-scale ocean dynamics).

Prior to joining Queen Mary as a Senior Lecturer in 2012, Sergey was a Royal Society University Research Fellow in Cambridge University Engineering Department developing hybrid methods for computational aeroacoustics. In 2010, Sergey was awarded the Full Doctorate of Science (Habilitation Degree) from Keldysh Institute of Applied Mathematics Moscow for work on hybrid and direct models in computational aeroacoustics. He currently is a guest editor of the Royal Society Phil.Trans. A Theme Issue (Frontiers of aeroacoustics research: theory, computation and experiment) to be published in 2019.
Over the years, his research has been supported by the leading UK industry as well as UK Research Councils and the Royal Society of London with attracting research funding more than $3.5M.
In 2011-2014 he led the 3-year Flap Noise EPSRC project devoted to development of high-resolution computational methods for jet installation noise modelling. Since 2019, he leads development and application of Large Eddy Simulation tools based on Graphics Processing Cards (GPUs) for nozzle geometry optimisation in the framework of the JINA EPSRC project on jet-surface interaction noise. In 2013 and 2018, his research on jet noise modelling was supported by Aero Acoustic Research Consortium.
Since 2016, Sergey is a director of GPU-Prime.Ltd, a small computational engineering consultancy company specialising on high-performance computing that is based in Cambridge UK. His recreational activities include Korean and Chinese martial arts.