NFFDy Summer Programme 2024
For the last three weeks, LIFD has been the host for the 2024 NFFDy Summer Programme, the focus of the programme is applications of data driven fluid dynamics and includes lectures on methodologies and examples of applications, including industry challenges and policy. We are currently mid-way through this programme and so far we have been delighted to welcome many guest speakers who have been delivering some fantastic talks to the participating fellows, the fellows have been given fluids lab tours and they have been working together on group projects that they will deliver as a presentation at the end of the programme (the programme is running from the 8th July to the 16th August at the University of Leeds).
Group project topics include:
- Continuum modelling of droplet impact on granular materials using experimental data
- Mixing Processes in Geophysical Flows
- Simulation and data-driven improvement of electrolysis cells for green hydrogen
- Data driven modelling of lava flow crust
- Nonlinear Internal Waves in Geophysical Flows
- Reduced order modelling of impinging jets for corneal material characterisation
- Learning RANS turbulence model parameters from magnetic resonance velocimetry data
Speakers include:
- Taraneh Sayadi (Sorbonne University, active learning for extracting generalisable ROMs of unsteady flows, data driven optimisation)
- Jean Christophe Loiseau (Ecole Nationale Supérieure d’Arts et Métiers, Sensors and actuators selection using submodular optimization for control problems, Large-scale bifurcation analysis using a non-intrusive time-stepper approach, General tour of the SINDy framework)
- Claire Heaney (Imperial College London, reduced-order modelling; machine-learning for scientific applications; urban and environmental flows)
- Calum Skene (University of Leeds, adjoint methods, dedalus 3 and optimisation)
- Matthew Juniper and Lloyd Fung (University of Cambridge, bayesian-SINDy).
- Hong Ge (University of Cambridge, probabilistic programming )
- Pedram Hassanzadeh (Rice University, methods and applications of AI)
- Simon Parker (DSTL, environmental sampling)
Jean-Christophe's presentation slides are available on the below topics:
Simon Parker's presentation slides are available here:
- Simon Parker Dynamics for compartmented systems – lecture 1
- Simon Parker Dynamics for compartmented systems – lecture 2
Claire Heaney's presentation slides area available here:
- 1. NFFDy-Heaney-forward-modelling
- 2. NFFDy-Heaney-reduced-order-modelling
- 3. NFFDy-Heaney-inverse-problems
Jean-Christophe Loiseau delivering a talk


