Short bio
Master Degree “Physics of Complex Systems” at Université de Paris
Thesis title
Knit-quakes Prediction through Machine Learning.
Short abstract
Knitted fabric is a thread-based metamaterial that exhibits crackling noise both in the force signal and in the deformation field when deformed. The occurrence of those intermittent, scale-invariant events cannot be accurately predicted at the time being, as in most systems with similar avalanche-like behavior. However, Machine Learning methods have proven to be a useful tool when dealing with time-series predictions and image processing, giving hope to be able to predict relevant knit-quakes quantities.