Artificial intelligence algorithms to predict risk of injury in racehorses. This project will address the urgent need for predicting and preventing catastrophic and career limiting limb injuries and cardiac arrhythmias in racehorses due to over (or under) training. Using data from GPS and movement sensors integrated into saddlecloths, artificial intelligence algorithms will convert cumulative data on speed, gait, and stride characteristics during training, along with injury data, into a risk mat ....Artificial intelligence algorithms to predict risk of injury in racehorses. This project will address the urgent need for predicting and preventing catastrophic and career limiting limb injuries and cardiac arrhythmias in racehorses due to over (or under) training. Using data from GPS and movement sensors integrated into saddlecloths, artificial intelligence algorithms will convert cumulative data on speed, gait, and stride characteristics during training, along with injury data, into a risk matrix. Recorded heart rate and ECG data will also be analysed using artificial intelligence to detect early evidence of the development of cardiac arrhythmias. The system will improve racehorse welfare, providing a simple interface to warn trainers when risk of injury becomes high, in order to prevent catastrophic breakdown.Read moreRead less
Developing feasible in situ control of mange disease in wombats. Our goal is the development of feasible in situ control of sarcoptic mange in wombat populations. Globally important, the Sarcoptes scabiei mite infects >100 mammal species and is among the 50 most common human diseases, causing health, welfare and population impacts. This infection is treatable, and we will test a new treatment (fluralaner), develop new models to guide management, and conduct replicated field trials. This will ena ....Developing feasible in situ control of mange disease in wombats. Our goal is the development of feasible in situ control of sarcoptic mange in wombat populations. Globally important, the Sarcoptes scabiei mite infects >100 mammal species and is among the 50 most common human diseases, causing health, welfare and population impacts. This infection is treatable, and we will test a new treatment (fluralaner), develop new models to guide management, and conduct replicated field trials. This will enable science-based guidelines, advancing disease control, local eradication, and regulatory approval for wombats. Our research framework is adaptable to other mange-impacted species, and advance methods and theory for control of treatable disease in wildlife.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
Illuminating genomic dark matter to develop new interventions for parasites. This project aims to unravel the molecular basis of parasitism using leading-edge post-genomics approaches. This research expects to explore genomic ‘dark matter’ in the genome to discover how parasites survive and cause disease. The resultant shift in the understanding of molecular mechanisms and processes governing parasitism will lead to new ways of disrupting the intricate parasite-host relationship, which will tran ....Illuminating genomic dark matter to develop new interventions for parasites. This project aims to unravel the molecular basis of parasitism using leading-edge post-genomics approaches. This research expects to explore genomic ‘dark matter’ in the genome to discover how parasites survive and cause disease. The resultant shift in the understanding of molecular mechanisms and processes governing parasitism will lead to new ways of disrupting the intricate parasite-host relationship, which will translate into innovative technologies or products to ameliorate the burden of parasites in livestock animals. Expected socioeconomic benefits include lifting Australia’s scientific knowledge base, reputation in biology and biotechnology, livestock production and investment in translational research.Read moreRead less
Real-time scheduling of trains to control peak electricity demand. This project aims to develop new scheduling and control methods that will enable railways to reduce their demand for electricity during peak demand periods, without undue disruption to the timetable.
These new methods and systems will integrate with—and expand the capabilities of—an Australian train control system that is used by railways around the world. This will enable better management of electricity within a region and be ....Real-time scheduling of trains to control peak electricity demand. This project aims to develop new scheduling and control methods that will enable railways to reduce their demand for electricity during peak demand periods, without undue disruption to the timetable.
These new methods and systems will integrate with—and expand the capabilities of—an Australian train control system that is used by railways around the world. This will enable better management of electricity within a region and better use of renewable energy sources, with significant cost savings for railways and the wider community.Read moreRead less
Mathematical Decision Support to Optimise Hospital Capacity and Utilisation. Hospital planners and executives regularly contend with challenging capacity related decisions. Decisions relating to prioritisation, allocation and sharing of resources have a profound impact on productivity, efficiency and patient outcomes. There is a lack of data-driven or quantitative decision support to make well-informed capacity related decisions of a strategic or tactical nature in a single hospital, or across a ....Mathematical Decision Support to Optimise Hospital Capacity and Utilisation. Hospital planners and executives regularly contend with challenging capacity related decisions. Decisions relating to prioritisation, allocation and sharing of resources have a profound impact on productivity, efficiency and patient outcomes. There is a lack of data-driven or quantitative decision support to make well-informed capacity related decisions of a strategic or tactical nature in a single hospital, or across a regional healthcare system. This project aims to deliver decision support for holistic hospital capacity assessment and planning optimisation. This will yield significant benefits for the health sector, providing a tool to optimise the allocation of resources and provision of infrastructure for regional hospital services.Read moreRead less
Paving the way for ultra-long haul flights: strategies to mitigate jetlag. This project aims to develop and test strategies to mitigate jetlag, founded on biophysical modelling of circadian rhythms. It sets out to quantify the speed of circadian adaptation of sleep, alertness, and metabolism after transmeridian travel and to maximise speed of adaptation via optimised timing of light exposure, food, and exercise in-flight and on-the-ground. Expected outcomes include powerful models for jetlag str ....Paving the way for ultra-long haul flights: strategies to mitigate jetlag. This project aims to develop and test strategies to mitigate jetlag, founded on biophysical modelling of circadian rhythms. It sets out to quantify the speed of circadian adaptation of sleep, alertness, and metabolism after transmeridian travel and to maximise speed of adaptation via optimised timing of light exposure, food, and exercise in-flight and on-the-ground. Expected outcomes include powerful models for jetlag strategies, ready for application in air travel. The project will directly inform Qantas’ operations for ultra-long haul flights and their international network more broadly. Project outcomes will benefit society and the economy through improving travellers’ alertness, sleep, and reducing the risk of fatigue-related accidents.Read moreRead less
Reasonable Adjustments to Maths for Students with Intellectual Disabilities. Reasonable adjustments to secondary mathematics – parents want it, students need it, the Australian law requires it – but how do teachers achieve it? The aim of this project is to find ways to adjust, teach and assess secondary mathematics for students with intellectual and developmental disabilities. The significance of this study is in solving a problem facing teachers who are required by law to teach mathematics with ....Reasonable Adjustments to Maths for Students with Intellectual Disabilities. Reasonable adjustments to secondary mathematics – parents want it, students need it, the Australian law requires it – but how do teachers achieve it? The aim of this project is to find ways to adjust, teach and assess secondary mathematics for students with intellectual and developmental disabilities. The significance of this study is in solving a problem facing teachers who are required by law to teach mathematics without evidence informed approaches. Expected outcomes are an evidence-base for reasonable adjustments to secondary mathematics and approaches and strategies for teachers for inclusive practices. If ways for teaching year-level mathematics to learners with intellectual disability are developed, many more students may benefit.
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Conservation genomics of a critically endangered insect. This project aims to develop tools genotyping large animal genomes, focusing on the case of the Lord Howe Island stick insect, once thought to be extinct and now critically endangered. This project expects to generate molecular tools to monitor the genetic health the insect which has a large, complex and poorly understood genome. Expected outcomes include the development of a preservation and reintroduction strategy for the insect. This pr ....Conservation genomics of a critically endangered insect. This project aims to develop tools genotyping large animal genomes, focusing on the case of the Lord Howe Island stick insect, once thought to be extinct and now critically endangered. This project expects to generate molecular tools to monitor the genetic health the insect which has a large, complex and poorly understood genome. Expected outcomes include the development of a preservation and reintroduction strategy for the insect. This project will benefit ongoing conservation efforts, and is timely given the ongoing eradication of rats from Lord Howe Island where this species once lived. Read moreRead less
Approximate algorithms and architectures for area efficient system design. This project aims to develop simpler but reliable image recognition systems that can run on low-cost, small-scale platforms, for use in driver monitoring system (DMS) applications. Cheaper reliable DMS will lead to wider availability of this technology to end users and improve safety of motor vehicles. This project will develop approximate algorithmic and circuit techniques, provide training for research students and buil ....Approximate algorithms and architectures for area efficient system design. This project aims to develop simpler but reliable image recognition systems that can run on low-cost, small-scale platforms, for use in driver monitoring system (DMS) applications. Cheaper reliable DMS will lead to wider availability of this technology to end users and improve safety of motor vehicles. This project will develop approximate algorithmic and circuit techniques, provide training for research students and build capability in the area of approximate computing. It is also expected to lead to commercial products, licences and revenue, which will enable new job creation.
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