Research Area:
Signal processing, AI and deep learning, sleep staging and sleep disease analysis.
Associate Professor Omid Kavehei.
This project focuses on development of signal processing and AI methods and algorithms for sleep staging and sleep disorder analysis. The scope will include proposing dedicated AI and data science methods to explore and analyse relevant biomarkers and features with high sensitivity and specificity from physiological and behavioural signals; building data analytical models to enhance the learning performance, proposing approaches to improve model generalization; investigating explainable AI methods; developing information and computing schemes and algorithms for precise sleep disease detection and prediction.
Successful candidates must have:
How to Apply:
To apply, please email omid.kavehei@sydney.edu.au AND wei.chenbme@sydney.edu.au with the subject line “PhD Application”, and attach the following:
The opportunity ID for this research opportunity is 3493