A miniaturised laser manipulator for ultra-precise and pain-free dentistry. This project aims to develop a miniaturized high-precision laser robotic device that can fit comfortably in the mouth to perform pain-free, vibration-free dental operations by utilising silicon-carbide on silicon technology to create a millimetre-sized two-axis controllable, highly-reflective mirror robust to high-power ultra-short laser pulses. This project expects to generate new knowledge in micro-mirror control using ....A miniaturised laser manipulator for ultra-precise and pain-free dentistry. This project aims to develop a miniaturized high-precision laser robotic device that can fit comfortably in the mouth to perform pain-free, vibration-free dental operations by utilising silicon-carbide on silicon technology to create a millimetre-sized two-axis controllable, highly-reflective mirror robust to high-power ultra-short laser pulses. This project expects to generate new knowledge in micro-mirror control using optically excited piezo-resistive sensors, and cold femtosecond laser ablation of hard dental tissue. Expected outcomes include a working prototype for laser removal of tooth materials at speeds exceeding dental drills, providing benefits in miniaturized laser devices and ultimately removing pain from dental procedures. Read moreRead less
Noise-free Cryogenic Wavefront Sensing. This project aims to optimise the prototype adaptive optics technology for the Giant Magellan Telescope (GMT) by leveraging past investment in adaptive optics instrumentation and shortwave infrared detector systems. This project expects to generate significant improvements in GMT performance, with ten times greater image resolution than the Hubble Space Telescope and current estimates of >90% sky coverage, compared with ~50% coverage for current technology ....Noise-free Cryogenic Wavefront Sensing. This project aims to optimise the prototype adaptive optics technology for the Giant Magellan Telescope (GMT) by leveraging past investment in adaptive optics instrumentation and shortwave infrared detector systems. This project expects to generate significant improvements in GMT performance, with ten times greater image resolution than the Hubble Space Telescope and current estimates of >90% sky coverage, compared with ~50% coverage for current technology. Expected outcomes of this project include the development of a highly trained workforce and continued international collaboration in the field of high-technology sensor systems. This contribution to the GMT will provide significant benefits—it will change the way we view the Universe.Read moreRead less
Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it i ....Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it is not clear to the end user how reliable the results are. The outcomes intend to deliver advanced knowledge and capability in artificial intelligence and machine learning that Australia urgently needs to capitalise on bringing deep learning into practical applications delivering economic, commercial and social impact.Read moreRead less
Correction of non-linearity in inductively-coupled-plasma mass-spectrometry. Chemical analyses by mass spectrometers underpin key Australian economic sectors, particularly minerals and agriculture. The quadrupole inductively-coupled-plasma mass-spectrometer has seen a particular rise in prominence over last 25 years. In this collaboration between mass spectrometrists and the leading instrument designer, we will improve the linearity of its detection system for more precise and accurate data. Bet ....Correction of non-linearity in inductively-coupled-plasma mass-spectrometry. Chemical analyses by mass spectrometers underpin key Australian economic sectors, particularly minerals and agriculture. The quadrupole inductively-coupled-plasma mass-spectrometer has seen a particular rise in prominence over last 25 years. In this collaboration between mass spectrometrists and the leading instrument designer, we will improve the linearity of its detection system for more precise and accurate data. Better elemental and isotope ratio data from these high-throughput instruments will open up new real-world applications in many areas of Australian interest, such as biosecurity, forensics, groundwater management, and drug design. The research will also inform design of the next generation instruments by the industry partner.Read moreRead less
Advanced geotechnical sensing and early warning system for smart highway. This project aims to develop an advanced sensing system with interactive analytical road health monitoring for smart highways. The project expects to provide potential savings of millions of dollars and improved road quality through targeted, optimised, value-for-money highway maintenance, identified by deployment of cost-effective, energy-efficient miniaturised electromechanical sensors. The expected outcome of this proje ....Advanced geotechnical sensing and early warning system for smart highway. This project aims to develop an advanced sensing system with interactive analytical road health monitoring for smart highways. The project expects to provide potential savings of millions of dollars and improved road quality through targeted, optimised, value-for-money highway maintenance, identified by deployment of cost-effective, energy-efficient miniaturised electromechanical sensors. The expected outcome of this project is the development of a fit-for-purpose and evidence-based early warning system for smart highway construction and maintenance. This should provide significant benefit through foreseeing potential geotechnical risks before they happen and enabling early intervention to enhance road safety and mitigate economic losses.Read moreRead less
Transforming Primary Healthcare Service Delivery: A Digital-Human Approach. This project aims to address the urgent need for a transformational shift in thinking and actions in primary healthcare service delivery. Primary care clinics, the front door of Australia's healthcare, are under considerable strain. By using a four-phase mixed methodology design across four Australian states, this project expects to generate a national evidence-based framework which takes a dual approach combining the us ....Transforming Primary Healthcare Service Delivery: A Digital-Human Approach. This project aims to address the urgent need for a transformational shift in thinking and actions in primary healthcare service delivery. Primary care clinics, the front door of Australia's healthcare, are under considerable strain. By using a four-phase mixed methodology design across four Australian states, this project expects to generate a national evidence-based framework which takes a dual approach combining the use of digital technology with humanness. Expected outcomes include the development of an Australian-first evidence-based digital resource kit, including two new tools, and a new co-designed roadmap to better facilitate this important change journey to enhance patient experience, employee wellbeing and clinic performance.
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