Statistical methods for quantifying variation in spatiotemporal areal data. This project aims to develop new statistical methods for extracting insights into spatial and temporal variation in areal data. These tools will extend the Australian Cancer Atlas which provides small area estimates for 20 cancers across Australia. The project is significant because it will allow government and other organisations to reap dividends from investment in collecting spatial information and it will enable mode ....Statistical methods for quantifying variation in spatiotemporal areal data. This project aims to develop new statistical methods for extracting insights into spatial and temporal variation in areal data. These tools will extend the Australian Cancer Atlas which provides small area estimates for 20 cancers across Australia. The project is significant because it will allow government and other organisations to reap dividends from investment in collecting spatial information and it will enable modelled small-area estimates to be released without compromising confidentiality. The expected outcomes include new statistical knowledge and new insights into cancer. The results will benefit the many disciplines, managers and policy makers that make decisions based on geographic data mapped over space and time. Read moreRead less
Remote sensing to improve structural efficiency of high-speed catamarans. This project aims to develop a monitoring system to remotely measure ship motions, loads and ride control activity under commercial operations. Data will be analysed using advanced statistical methods to inform evidence-based design to improve both structural efficiency and passenger comfort. The research will impact on design rules used worldwide, reducing weight and increasing payload and transport efficiency for this cl ....Remote sensing to improve structural efficiency of high-speed catamarans. This project aims to develop a monitoring system to remotely measure ship motions, loads and ride control activity under commercial operations. Data will be analysed using advanced statistical methods to inform evidence-based design to improve both structural efficiency and passenger comfort. The research will impact on design rules used worldwide, reducing weight and increasing payload and transport efficiency for this class of vessel. A "Smart” semi-autonomous interface will be developed to provide on-board seakeeping guidance to the ship captain. This technology will have significant benefits such as increased ship safety, vessel longevity and improving passenger comfort for all types of vessels worldwide including high-speed catamarans.Read moreRead less
Surveillance and sampling to maintain absence of pests and diseases. This project aims to develop empirically validated statistical and mathematical methods for industry and government to deliver more efficient biosecurity surveillance programs. The project endeavours to enhance biosecurity at the border and within Australia, while minimising the costs and burden of testing. Expected project outcomes include effective surveillance and sampling for high-priority threats, accessible software for d ....Surveillance and sampling to maintain absence of pests and diseases. This project aims to develop empirically validated statistical and mathematical methods for industry and government to deliver more efficient biosecurity surveillance programs. The project endeavours to enhance biosecurity at the border and within Australia, while minimising the costs and burden of testing. Expected project outcomes include effective surveillance and sampling for high-priority threats, accessible software for decision-makers, and generalisable approaches to address rapidly increasing biosecurity risks. Significant benefits include maintaining absence of key pathogens and pests in Australia.Read moreRead less
Revolutionising water-quality monitoring in the information age. In today’s information age, automated low-cost sensors distributed in the environment have the potential to revolutionise the way we monitor and manage air, water and soil. This project aims to develop novel statistical methods to detect anomalies in the data generated from these in-situ sensors with computationally efficient modelling on river networks through space and time, with the applied goals of automating anomaly detection ....Revolutionising water-quality monitoring in the information age. In today’s information age, automated low-cost sensors distributed in the environment have the potential to revolutionise the way we monitor and manage air, water and soil. This project aims to develop novel statistical methods to detect anomalies in the data generated from these in-situ sensors with computationally efficient modelling on river networks through space and time, with the applied goals of automating anomaly detection in water-quality data and generating predictions of sediment and nutrient concentrations throughout river networks in near-real time. This will represent a fundamental increase in scientific knowledge, which will be immediately useful in the domains of aquatic science, environmental monitoring, and statistics.Read moreRead less
Thermal Optimisation of Gigascale Solar Photovoltaics. Large-scale solar photovoltaics are critical to decarbonising the global economy. Sun Cable is developing the world’s largest solar farm in the Northern Territory, and is considering deploying the 5B MAV solar array. At this scale, temperature-induced panel efficiency losses represent a major challenge that must be overcome through thermal performance optimisation. We will build sophisticated multiscale models to simulate and understand the ....Thermal Optimisation of Gigascale Solar Photovoltaics. Large-scale solar photovoltaics are critical to decarbonising the global economy. Sun Cable is developing the world’s largest solar farm in the Northern Territory, and is considering deploying the 5B MAV solar array. At this scale, temperature-induced panel efficiency losses represent a major challenge that must be overcome through thermal performance optimisation. We will build sophisticated multiscale models to simulate and understand the multiple interacting phenomena that cause panel heating, for the first time. This project will create the tools and know-how to optimise array design and solar farm development, delivering major efficiency gains and enhancing the viability of future gigascale solar projects.Read moreRead less
Robust and Scalable Autonomous Landing for Drones. The aim of this project is to develop a transformative robust and scalable autonomous landing system for drones. This is the critical missing technology needed to unleash exponential growth in a potentially enormous drone delivery industry by enabling a multitude of applications to deliver goods and supplies via drones to a wide range of destinations in Australia and the world in a timely, flexible and accurate manner. Such an autonomous landi ....Robust and Scalable Autonomous Landing for Drones. The aim of this project is to develop a transformative robust and scalable autonomous landing system for drones. This is the critical missing technology needed to unleash exponential growth in a potentially enormous drone delivery industry by enabling a multitude of applications to deliver goods and supplies via drones to a wide range of destinations in Australia and the world in a timely, flexible and accurate manner. Such an autonomous landing solution would revolutionise drone technology, and propel Australia to the forefront of technology innovation. This project would benefit not only large scale delivery by drone in urban and suburban areas of Australia but also long distance delivery via drone to remote areas of Australia.Read moreRead less
Accelerating pulse breeding using machine learning. Advances in genomics and high throughput phenotyping are generating vast quantities of data that can be applied for crop improvement, however the lack of computational analysis tools and approaches limits the full exploitation of this data. Pulse legumes are currently under utilised in Australian agriculture due to poor adaptation, however they offer significant benefits both for soil improvement and the production of high protein crops. This p ....Accelerating pulse breeding using machine learning. Advances in genomics and high throughput phenotyping are generating vast quantities of data that can be applied for crop improvement, however the lack of computational analysis tools and approaches limits the full exploitation of this data. Pulse legumes are currently under utilised in Australian agriculture due to poor adaptation, however they offer significant benefits both for soil improvement and the production of high protein crops. This project will develop machine learning (ML) tools for the analysis of pulse legume crop traits and their association with genomic variation to accelerate the breeding of high performance pulse legumes for Australian growers.Read moreRead less
Electron Transpiration Cooling of Hypersonic Vehicles. Future aircraft for flight at hypersonic speeds require sharp leading edges for the best aerodynamic performance. Sharp leading edges incur high heat loads and cannot be adequately cooled with current technologies. The project aim is to investigate novel surface materials that emit electrons when heated. This emission of electrons from the surface can significantly contribute to the cooling of the sharp leading edges. This project is expecte ....Electron Transpiration Cooling of Hypersonic Vehicles. Future aircraft for flight at hypersonic speeds require sharp leading edges for the best aerodynamic performance. Sharp leading edges incur high heat loads and cannot be adequately cooled with current technologies. The project aim is to investigate novel surface materials that emit electrons when heated. This emission of electrons from the surface can significantly contribute to the cooling of the sharp leading edges. This project is expected to deliver new experimental data on novel surface materials exposed to a hypersonic flow environment and computer models that can simulate their cooling effect. This investigation will contribute towards enabling technologies for sustained hypersonic flight by overcoming critical head load limitations.Read moreRead less
Structural Reliability of Engineering Structures in Cyclonic Winds. This project aims to address the challenge of predicting the impact of extreme cyclonic winds on complex engineering structures. By applying advanced computational and experimental techniques the project expects to develop new insight into turbulent flows at a sub-cyclone scale and how these produce aerodynamic loads on closely spaced cylindrical structures and elements. The expected outcomes of this project include enhanced sim ....Structural Reliability of Engineering Structures in Cyclonic Winds. This project aims to address the challenge of predicting the impact of extreme cyclonic winds on complex engineering structures. By applying advanced computational and experimental techniques the project expects to develop new insight into turbulent flows at a sub-cyclone scale and how these produce aerodynamic loads on closely spaced cylindrical structures and elements. The expected outcomes of this project include enhanced simulation techniques leading to better understanding of structural vulnerability to cyclones. This should provide significant benefits, such as improved structural design and cyclone mitigation strategies applicable to both high-value engineering structures and vulnerable communities in cyclone regions.Read moreRead less
Dynamic Earth Models for Frontier Mineral Exploration. This Project aims to investigate the link between supercontinents, mantle upwelling, and associated mineral resources by combining reconstructions of mantle flow with the global rock record. Mantle upwelling causes eruptions of volcanic provinces and associated rock formations that are rich in minerals. The expected outcomes of the Project include mapping the global potential for magmatic nickel, rare-earth elements, and diamond deposits fro ....Dynamic Earth Models for Frontier Mineral Exploration. This Project aims to investigate the link between supercontinents, mantle upwelling, and associated mineral resources by combining reconstructions of mantle flow with the global rock record. Mantle upwelling causes eruptions of volcanic provinces and associated rock formations that are rich in minerals. The expected outcomes of the Project include mapping the global potential for magmatic nickel, rare-earth elements, and diamond deposits from 1.8 billion years ago and building a research alliance between the University of Wollongong, Anglo American, and De Beers. Significant benefits will be the development of a digital framework to reduce risks in exploration for minerals that are essential for the transition to a low-carbon economy.Read moreRead less