DEVELOPING SCIENTIFIC BASIS FOR THE RAPID DETECTION SYSTEM OF DIESEL VEHICLES WITH HIGH LEVEL OF EXHAUST EMISSIONS. Diesel vehicle exhaust is a significant source of air pollution leading to major human health problems. However, only a small fraction of vehicles with high exhaust emissions cause the majority of this pollution. Initially, this research will develop a model of dispersion of pollutants into the environment immediately after emission. This model will be the scientific foundation for ....DEVELOPING SCIENTIFIC BASIS FOR THE RAPID DETECTION SYSTEM OF DIESEL VEHICLES WITH HIGH LEVEL OF EXHAUST EMISSIONS. Diesel vehicle exhaust is a significant source of air pollution leading to major human health problems. However, only a small fraction of vehicles with high exhaust emissions cause the majority of this pollution. Initially, this research will develop a model of dispersion of pollutants into the environment immediately after emission. This model will be the scientific foundation for the development of an efficient and economical rapid detection system for those vehicles with high exhaust emissions. The major outcome is to improve air quality and lower the occurrence/severity of airborne pollution induced health effects.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
Towards a unified technology platform for sensing in liquids. Towards a unified technology platform for sensing in liquids. This project aims to use a new sensing platform for hydrocarbon monitoring in water to evolve optical on-chip position sensing of suspended micro-structures. Microelectromechanical systems dominate the world in sensing technology; they are common in smartphone, automotive, aerospace, and military applications. However, this multibillion dollar industry has failed to make ch ....Towards a unified technology platform for sensing in liquids. Towards a unified technology platform for sensing in liquids. This project aims to use a new sensing platform for hydrocarbon monitoring in water to evolve optical on-chip position sensing of suspended micro-structures. Microelectromechanical systems dominate the world in sensing technology; they are common in smartphone, automotive, aerospace, and military applications. However, this multibillion dollar industry has failed to make chem/bio sensing profitable, mostly due to the absence of a robust and compact read-out technology for sensing in liquids. This project is expected to lead to a unified parallel sensing platform of ultimate sensitivity delivering aqueous sensing for wide ranging applications and markets.Read moreRead less
Bright x-ray beams from laser-driven microplasmas. This project aims to develop a new generation of bright, laser-like x-ray sources for laboratory use. X-ray sources underpin key diagnostic techniques in materials science, advancing applications from structural engineering through to ore processing and energy storage. However, the limited brightness of present-day laboratory x-ray sources restricts the utility and range of these diagnostic techniques. This research intends to use intense lasers ....Bright x-ray beams from laser-driven microplasmas. This project aims to develop a new generation of bright, laser-like x-ray sources for laboratory use. X-ray sources underpin key diagnostic techniques in materials science, advancing applications from structural engineering through to ore processing and energy storage. However, the limited brightness of present-day laboratory x-ray sources restricts the utility and range of these diagnostic techniques. This research intends to use intense lasers to create microscopic plasmas and drive high harmonic generation. The high harmonic generation process is already used to create laser-like ultraviolet light. By optimising the characteristics of the plasma medium, the project aims to extend bright high harmonic generation to the x-ray regime.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
Engineering the strength and consolidation of reclaimed soft soil. Engineering the strength and consolidation of reclaimed soft soil. This project aims to strengthen reclaimed soft soils by controlled desiccation. Soft soil is a significant engineering challenge for many industry sectors in Australia and worldwide. The disposal of dredged soft soil is costly and time-consuming, and failure of soft mine tailings is an environmental catastrophe that can cause loss of life and interrupt mining prod ....Engineering the strength and consolidation of reclaimed soft soil. Engineering the strength and consolidation of reclaimed soft soil. This project aims to strengthen reclaimed soft soils by controlled desiccation. Soft soil is a significant engineering challenge for many industry sectors in Australia and worldwide. The disposal of dredged soft soil is costly and time-consuming, and failure of soft mine tailings is an environmental catastrophe that can cause loss of life and interrupt mining production. This project will research the underlying processes of material behaviour, by developing new electromagnetic measurement and modelling methods to predict material strengths at the micro and macro scales during desiccation. The new approach is expected to lead to innovative solutions to bearing capacity and settlement problems associated with soft soils.Read moreRead less
New hyphenated chromatographic and spectroscopic methods for oil analysis. This project aims to use novel chemical separation methods combined with spectroscopy to identify useful markers in olive oil and essential oil to ensure purity, quality and authenticity, which are all ongoing issues in these industries in Australia and overseas. The project plans to compare and integrate results of multidimensional gas chromatography combined with mass spectrometry and Fourier transform infrared analyses ....New hyphenated chromatographic and spectroscopic methods for oil analysis. This project aims to use novel chemical separation methods combined with spectroscopy to identify useful markers in olive oil and essential oil to ensure purity, quality and authenticity, which are all ongoing issues in these industries in Australia and overseas. The project plans to compare and integrate results of multidimensional gas chromatography combined with mass spectrometry and Fourier transform infrared analyses with data libraries to generate precise molecular identification. The outcome is expected to help monitor adulteration of oils and maintain the high quality standards of Australian produce.Read moreRead less