Explainable modelling of turbulence proxies using climate data, with insight how climate change might affect turbulence using feature analysis or other methods.
This project focuses on segmentation of ear membrane images using 3D data and classifying ear diseases from images.
With the rise in large datasets, there is a limited understanding of the contents of the dataset. Can Graph Signal Processing methods be used to understand what is in a dataset and detect any biases?
Imperialism has led to a loss of many indigenous cultures and with this, their languages. Based on the NeurIPS 2022 Competition “Second AmericasNLP Competition: Speech-to-Text Translation for Indigenous Languages of the Americas,” this project aims to use machine translation (MT) and automatic speech recognition (ASR) approaches to develop a translator for endangered or extinct indigenous languages. This will involve finding and/or building an appropriately sized corpus and using this to train MT and ASR models due to the sparsity of data on these indigenous languages.
