Machine Learning Applications in Turbulence
15 Jan 2025, by Sponsored events inJanuary 2025 – June 2025
Brunel University, London, University of East London and Queen Mary University of London
Supported by the Heilbronn Institute Small Grants Scheme
The main objective of the seminars is to discuss and network around the use of data-driven approaches to uncover low-order structures in turbulence from aeroacoustics applications to ocean models. The talks will present findings of a new project as a collaboration of University of East London (UEL), Brunel University of London (Brunel) and Queen Mary University (QMUL) on dynamical system analysis of the quasi-geostrophic double-gyre model. Three meetings will be held over a year in the three institutions with the purpose of dissemination and networking.
P R O G R A M M E
January 2025: Brunel University London (Brunel)
Introduction by Vasily Gryazev (Brunel)
Sergey Karabasov (QMUL): Application of data driven methods in aeroacoustics
Vasily Gryazev (Brunel): Application of Permutation Entropy analysis in aeroacoustics
Elnaz Naghibi (UEL): Application of data driven methods in the double-gyre ocean model: Genetic Programming and Permutation Entropy analysis (preliminary results)
Vassili Toropov (QMUL): Optimisation in composite structures
Mayo Adetoro (Brunel): Optimisation in aeroelastic structures
James Tyacke (Brunel) Multi-fidelity methods in turbomachinery: LES, RANS and data-driven methods
Edward Smith (Brunel): Multi-scale models linking CFD and molecular dynamics
April 2025: University of East London (UEL)
Introduction by Elnaz Naghibi (UEL)
Sergey Karabasov (QMUL): Application of data driven methods in aeroacoustics
Vasily Gryazev (Brunel): Application of Permutation Entropy analysis in aeroacoustics
Elnaz Naghibi (UEL): Application of data driven methods in the double-gyre ocean model: Genetic Programming and Permutation Entropy analysis (intermediate results)
Pavel Berloff (Imperial College): Data-driven emulators is ocean dynamics
Mohammad Amirhosseini (UEL): Machine learning applications: from animal behaviour to human psychology and from cyber security to energy recycling
Fahimeh Jafari (UEL): Application of AI to road safety and crash prediction
June 2025: Queen Mary University of London (QMUL)
Introduction by Sergey Karbasov (QMUL) and Vassili Toropov (QMUL)
Jun Chen (QMUL) Machine learning in aircraft routing
Vasily Gryazev (Brunel): Application of Permutation Entropy analysis in aeroacoustics
Elnaz Naghibi (UEL): Application of data driven methods in the double-gyre ocean model: Genetic Programming and Permutation Entropy analysis (final results)
Luca Magri (Imperial College): Physics aware machine learning
Nick Zang (QMUL): AI applications in experimental aeroacoustics
Amal Murali (École Centrale de Lyon): Echo State Networks
Lidiya Kennedy (TU Berlin): Echo State Networks
Nader Karimi (QMUL): Machine learning applications in thermofluids