Machine Learning Applications in Turbulence

15 Jan 2025, by ablahatherell in Sponsored events

January 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