NSW

Multimodal sensing intelligence for aerial robots in bushfire mitigation and pest management

This project develops advanced multimodal sensing techniques for next-generation aerial robots to improve bushfire mitigation and pest management. The expected outcome is a robotic sensing prototype for real-time monitoring. This technology will deliver customer, national, industry, and public benefits through enhanced safety, sustainability, cost-efficiency, and support for Indigenous manufacturing. 

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.