Making eMaking Accessible for People with Intellectual Disabilities. This interdisciplinary research will create an evidence based eMaking program that empowers people with Intellectual Disabilities. eMaking benefits include collaborative problem solving and employment pathways; however, people with disabilities are often excluded. Through a unique, inclusive, outreach van, strategies to build accessible eMaking will be generated. Project outcomes include replicable, scalable eMaking activities ....Making eMaking Accessible for People with Intellectual Disabilities. This interdisciplinary research will create an evidence based eMaking program that empowers people with Intellectual Disabilities. eMaking benefits include collaborative problem solving and employment pathways; however, people with disabilities are often excluded. Through a unique, inclusive, outreach van, strategies to build accessible eMaking will be generated. Project outcomes include replicable, scalable eMaking activities and toolkits to facilitate Science, Technology, Engineering and Mathematics for all. Project benefits include opportunities for people with Intellectual Disability to participate in meaningful recreational or work-focused eMaking, and changing community attitudes through shared eMaking participation.Read moreRead less
Metaphotonics and metasurfaces for disruptive sensing technologies. This project aims to address a big challenge in nanophotonics by developing revolutionary methods for efficient chiral sensing of molecules without the need for spectrometry, frequency scanning, or moving mechanical parts, and to enhance chiroptical signals a hundredfold with the help of metasurface structures. Resonant metasurfaces are arrays of engineered dielectric nanoparticles with extraordinary characteristics, and they wo ....Metaphotonics and metasurfaces for disruptive sensing technologies. This project aims to address a big challenge in nanophotonics by developing revolutionary methods for efficient chiral sensing of molecules without the need for spectrometry, frequency scanning, or moving mechanical parts, and to enhance chiroptical signals a hundredfold with the help of metasurface structures. Resonant metasurfaces are arrays of engineered dielectric nanoparticles with extraordinary characteristics, and they would allow to overcome current limitations of chiral sensing analytical tools. Detecting chiral molecules in low concentrations is crucially important to many fields of biology, chemistry, and pharmacy, as well as to the food and cosmetics industries, constituting a market of tens of billions of dollars.Read moreRead less
Enabling Disability? Autonomous Technologies & CaLD persons with disability. Over 1 million disabled Australians are from culturally and linguistically diverse (CaLD) communities, the majority of whom are ineligible for disability and multicultural services. CaLD persons with disability significantly rely on digital information systems, devices and platforms to secure their economic, social and cultural inclusion. Evidence to date documents the continual exclusionary impact of artificial intelli ....Enabling Disability? Autonomous Technologies & CaLD persons with disability. Over 1 million disabled Australians are from culturally and linguistically diverse (CaLD) communities, the majority of whom are ineligible for disability and multicultural services. CaLD persons with disability significantly rely on digital information systems, devices and platforms to secure their economic, social and cultural inclusion. Evidence to date documents the continual exclusionary impact of artificial intelligence (AI) behind such technologies in addition to its inaccessibility to complex end-users. Yet, AI is now central to socio-economic well being and inclusion. In partnership with community and industry, this project will inform future AI developments and policy increasing its adaptability, accessibility and affordability.
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Spatiotemporal dynamics and analysis of functional magnetic resonance imaging. Functional magnetic resonance imaging (fMRI) produces signals generated by brain activity in fine detail, but links between activity and images are poorly understood, posing a barrier to full use of the technology. Predictions from our new theory of such links will be made, tested experimentally and used to improve fMRI and discover new phenomena.
Machine Learning for Fracture Risk Assessment from Simple Radiography. This project aims to develop a novel, reliable, low-cost system to detect poor bone health and assess fracture risk to help to prevent and manage osteoporosis-related fractures. Currently, osteoporosis-related fractures cost our health system millions of dollars annually and costs are increasing with our ageing population. Early detection of poor bone health will improve the effectiveness of preventive measures and ease this ....Machine Learning for Fracture Risk Assessment from Simple Radiography. This project aims to develop a novel, reliable, low-cost system to detect poor bone health and assess fracture risk to help to prevent and manage osteoporosis-related fractures. Currently, osteoporosis-related fractures cost our health system millions of dollars annually and costs are increasing with our ageing population. Early detection of poor bone health will improve the effectiveness of preventive measures and ease this burden. Current methods include unreliable, crude clinical and visual guides that suggest osteoporosis screening. The project plans to develop a novel system by applying machine learning algorithms to radiology data which is commonly captured for diagnosing other conditions.Read moreRead less
Dual nanoparticles to distinguish between right and left biomolecules. This project aims to enhance the sensitivity of optical activity to ultralow molecular concentration samples. Optical activity is a commercially available technique used to distinguish chemically identical and morphologically different biomolecules (enantiomers). Unlike other scattering techniques, near-field enhancing of optical activity has not been achieved, thus limiting these measurements to high molecular concentrations ....Dual nanoparticles to distinguish between right and left biomolecules. This project aims to enhance the sensitivity of optical activity to ultralow molecular concentration samples. Optical activity is a commercially available technique used to distinguish chemically identical and morphologically different biomolecules (enantiomers). Unlike other scattering techniques, near-field enhancing of optical activity has not been achieved, thus limiting these measurements to high molecular concentrations. There is evidence indicating that optical activity can be enhanced using dual nanoparticles (ie small particles with the same response to electric and magnetic fields). This project aims to advance our understanding of these dual nanoparticles and experimentally implement their use to enhance optical activity.Read moreRead less
Realisation of an ultra-stable local oscillator using an ultra-low vibration pulse-tube cryocooler. This project will complete the development of a new type of ultra-low-noise ultra-stable microwave oscillator cooled with an ultra-low vibration cryostat and cryocooler. The resulting oscillator will have wide application, but especially to atomic fountain clocks and to very high frequency Very Long Baseline Interferometry (VLBI) radio astronomy.
Discovery Early Career Researcher Award - Grant ID: DE200101076
Funder
Australian Research Council
Funding Amount
$426,985.00
Summary
Resolving nanoscale structure-activity for rational electrocatalyst design. This project aims to investigate the structural and functional properties of electrocatalysts at the nanoscale. The project expects to develop state-of-the-art electrochemical imaging technology that can examine the active sites of electrodes during operation. Understanding electrode performance on this scale is expected to enhance our capability to rationally design cheaper and more-efficient electrocatalysts, notably ....Resolving nanoscale structure-activity for rational electrocatalyst design. This project aims to investigate the structural and functional properties of electrocatalysts at the nanoscale. The project expects to develop state-of-the-art electrochemical imaging technology that can examine the active sites of electrodes during operation. Understanding electrode performance on this scale is expected to enhance our capability to rationally design cheaper and more-efficient electrocatalysts, notably for electrochemical carbon dioxide reduction. This should provide significant socio-economic and environmental benefits, through the development of next-generation energy storage and conversion materials that can be utilized by households and businesses to store renewable energy in the form of carbon-neutral fuels.Read moreRead less
The Quantum Dot SPASER. Can we replace electrons with photons in future computers? This project provides two steps toward this goal. By combining advanced materials with ultra-small metallic structures, a new nano-sized form of a laser, called the spaser will be realised. Furthermore, a key component of a computer, a nanoscale modulator, will be demonstrated.
Drawing out spider silk photonics and technology. We discovered certain spider webs are an optical device of amazing sophistication – the result of 136 million years of evolution. New photonic and electron microscopy techniques will measure the unique optical and materials properties of the webs, and the resulting knowledge will have high impact for advanced, self- assembled, photonic materials.