Rate My Professor Sergey Karabasov

Professor Sergey Karabasov is Professor of Computational Modelling and Director of the Centre for Intelligent Transport in the School of Engineering and Materials Science at Queen Mary University of London. He holds BSc and MSc degrees, a PhD in mathematical modelling from Lomonosov Moscow State University (1999), and a DSc from the Keldysh Institute of Applied Mathematics, Russian Academy of Sciences (2010) for work on hybrid and direct models in computational aeroacoustics. Prior to joining Queen Mary in 2012, he served as a Royal Society University Research Fellow in the Engineering Department at the University of Cambridge, developing hybrid methods for computational aeroacoustics. Earlier positions include Research Associate and Fellow at Cambridge (2000-2012) and Researcher at the Nuclear Safety Institute of the Russian Academy of Sciences (1998-2000). Karabasov is a Fellow of the Royal Aeronautical Society (FRAeS), Fellow of the Higher Education Academy (FHEA), and Associate Fellow of the American Institute of Aeronautics and Astronautics (AFAIAA, elected 2021) for contributions to high-speed flow aeroacoustics, jet engines, rotor noise, and large eddy simulations. He serves on the AIAA Vertical Take-Off and Landing technical committee and was guest editor for two Royal Society Philosophical Transactions A theme issues: 'Multi-scale systems in fluids and soft matter' (2014) and 'Frontiers of aeroacoustics research' (2019).

Karabasov's research focuses on computational fluid dynamics, aeroacoustics, aerodynamics, large-eddy simulations, multiscale modelling, high-performance computing, and numerical methods for hyperbolic conservation laws, with applications in future mobility, environmental technologies, digital twins, external aerodynamics, and optimisation. His specializations include aeroacoustics, computational fluid dynamics, physics-based and data-driven modelling. He has secured substantial funding from EPSRC, EU Horizon 2020, Innovate UK, and industry, including projects such as Aeroacoustics of Dynamic Stall (£487,827, 2023-2027), JINA: Jet Installation Noise Abatement (£354,231, 2019-2022), and Decrease Jet-Installation Noise (£171,866, 2020-2023). Key publications include 'Advances in aeroacoustics research: recent developments and perspectives' (Philosophical Transactions A, 2019) and works on co-axial jet flows, turbulent jet dynamics, and aerofoil noise. Karabasov has delivered invited keynotes and talks at international conferences, including GPPS Chania24 (2024) and CECAM Workshop (2025), hosted workshops on machine learning in turbulence, and leads efforts in noise reduction for aviation and wind energy. Since 2016, he directs GPU-Prime Ltd, a consultancy in high-performance computing.