Speaker: Fergus Shone, PhD Researcher, University of Leeds

Do you have sparse, low-quality data, but a good understanding of the physical system you are modelling? Then physics-informed neural networks (PINNs) might be the machine learning tool for you!

Bio:

Fergus is a PhD researcher working with the Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB) and the Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) at the University of Leeds. His research interests lie in the fields of physics-informed machine learning and super-resolution of in vivo cardiac flow data.