• Cardio-respiratory and brain signal processing-based applications for sleep research and clinical applications. • Machine learning based data modelling for building disease prediction models in sleep disorders, mental health, and cardiovascular health. • Developing data analytics and visualization platforms for data-driven insights that inform business/IT processes in decision-making and digital innovations for healthcare.

Sarah is a Lecturer with the Business vertical at Torrens University, involved with teaching, research and subject coordination. Her current area of specialisation in teaching and curricula development is Data Management and Data Analytics. As an Electronics Engineer by background, she has more than 22 years of experience in academia, including overseas and Australian universities. Her expertise includes Signal and Image processing, Machine Learning and Artificial Intelligence in biomedical and health care applications. Sarah was involved as a post-doctoral researcher in an ARC Industry Transformation Research Hub project at Flinders University, which had a huge community impact in the field of Digitally Enhanced Living for the elderly. Sarah has authored and co-authored several journal articles and conference publications on sleep signal processing based investigations of respiratory and cardiovascular dynamics, their physiological underpinnings and clinical research applications.