NSW
Applying imaging methods and data analytics to explore the listening brain
This Project aims to understand brain circuits and processes supporting communication in individuals with hearing problems, including those who use devices such as hearing aids and cochlear implants. The potential benefits are that individualised strategies based on real-time brain states estimate algorithms to empower listening and support effective communication. The Project will use brain-imaging techniques‚ including those compatible with listening technologies, including electroencephalogram (EEG), to explore the listening brain. The Project will explore brain changes that arise from hearing loss, how changes in brain function – within and beyond the auditory brain – arise to support listening when hearing is impaired, and how these findings can be used as a part of devices such as cochlear implants that engage the rest of the brain to support an individual's listening.
Synthetic CT via Generative AI for MR-guided Radiotherapy Planning in the Abdomen and Lungs
This Project will leverage artificial intelligence to develop and validate synthetic computed tomography (CT) from magnetic resonance imaging (MRI) in the abdominal and lung regions. The expected outcomes are an AI-based synthetic CT model, thorough technical and clinical validation and potential patent/licensing opportunities. This may reduce unnecessary ionising radiation of CT in patients and improve treatment efficiency during radiotherapy planning.
Data analytics for enhanced hearing health
This project aims to consolidate hearing health data with other datasets to unlock valuable insights and drive personalised hearing healthcare interventions. The expected outcomes are to streamline access to hearing health data, improve data connectivity, and enhance treatment outcomes. The potential benefit is to facilitate informed decision-making for healthcare providers to enable better patient care.
Communicating in the real world
This project aims to utilise existing sensor technologies to evaluate the impact of hearing loss when communicating in noisy environments. The expected outcome is the discovery of novel analysis methods that utilise multi-sensor fusion techniques. The potential benefit is improved outcomes for individuals with hearing loss.
Optimising vegetation management and grazing in solar farms
This project aims to use high spatial, spectral and temporal resolution satellite images and artificial intelligence to derive measurements that enhance vegetation management and grazing efficiency in solar farms. The expected outcome is to develop algorithms that can be applied to near real-time satellite data to enable the spatially comprehensive measurements of vegetation growth, grazing patterns overgrazing, curing rating for decision making in monitoring and determining the effectiveness of land management strategies.