Co-design and dynamic mission optimisation of hypersonic flight vehicles. This project aims to deliver fundamental knowledge by integrating the modelling and control with the design of next generation hypersonic platforms. In an era where Australia's national security reliance on geographic isolation and support from allied forces are being challenged, the research outcomes of this project will play an important role in understanding the capabilities of hypersonic systems. The project will also ....Co-design and dynamic mission optimisation of hypersonic flight vehicles. This project aims to deliver fundamental knowledge by integrating the modelling and control with the design of next generation hypersonic platforms. In an era where Australia's national security reliance on geographic isolation and support from allied forces are being challenged, the research outcomes of this project will play an important role in understanding the capabilities of hypersonic systems. The project will also have significant spillover benefits into other complex system domains, where computational tools can be used to aid in design leading to high embedded-IP products for Australian industry. Furthermore, the proposal encompasses a strong research training aspect, with graduates exposed to leading edge industry and academia.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101864
Funder
Australian Research Council
Funding Amount
$442,500.00
Summary
Unlocking Urban Airspace for Drone Transport. This project aims to accurately quantify the mid-air collision risk associated with low-altitude unmanned operations in urban airspace through the creation of new data-driven collision risk modelling techniques. Without such techniques, drone operations remain suppressed so their true potential cannot be realised. The collision risk models address this by providing the key missing knowledge that can underpin/enable vital unmanned traffic management ....Unlocking Urban Airspace for Drone Transport. This project aims to accurately quantify the mid-air collision risk associated with low-altitude unmanned operations in urban airspace through the creation of new data-driven collision risk modelling techniques. Without such techniques, drone operations remain suppressed so their true potential cannot be realised. The collision risk models address this by providing the key missing knowledge that can underpin/enable vital unmanned traffic management applications, including airspace design and the development of separation standards. This can ultimately enable greater access to urban airspace without compromising air safety such that we unlock the commercial and societal benefits of drone use and help modernise urban air transportation.
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Navigating under the forest canopy and in the urban jungle. This project aims to develop a framework for unmanned aerial vehicles (UAV), which optimally balances localisation, mapping and other objectives in order to solve sequential decision tasks under map and pose uncertainty. This project expects to generate new knowledge in UAV navigation using an innovative approach by combining simultaneous localisation and mapping algorithms with partially observable markov decision processes. The proje ....Navigating under the forest canopy and in the urban jungle. This project aims to develop a framework for unmanned aerial vehicles (UAV), which optimally balances localisation, mapping and other objectives in order to solve sequential decision tasks under map and pose uncertainty. This project expects to generate new knowledge in UAV navigation using an innovative approach by combining simultaneous localisation and mapping algorithms with partially observable markov decision processes. The project’s expected outcomes will enable UAVs to solve multiple objectives under map and pose uncertainty in GPS-denied environments. This will provide significant benefits, such as more responsive disaster management, bushfire monitoring and biosecurity, and improved environmental monitoring.Read moreRead less
When every second counts: Multi-drone navigation in GPS-denied environments. The aim of this research is to develop a framework for multiple Unmanned Aerial Vehicles (UAV), that balances information sharing, exploration, localization, mapping, and other planning objectives thus allowing a team of UAVs to navigate in complex environments in time critical situations. This project expects to generate new knowledge in UAV navigation using an innovative approach by combining Simultaneous Localizatio ....When every second counts: Multi-drone navigation in GPS-denied environments. The aim of this research is to develop a framework for multiple Unmanned Aerial Vehicles (UAV), that balances information sharing, exploration, localization, mapping, and other planning objectives thus allowing a team of UAVs to navigate in complex environments in time critical situations. This project expects to generate new knowledge in UAV navigation using an innovative approach by combining Simultaneous Localization and Mapping (SLAM) algorithms with Partially Observable Markov Decision Processes (POMDP) and Deep Reinforcement learning. This should provide significant benefits, such as more responsive search and rescue inside collapsed buildings or underground mines, as well as fast target detection and mapping under the tree canopy. Read moreRead less
Peptides and Proteins for Fighting Pests and Protecting the Environment. This project aims to use peptides and proteins to fight pests and protect the environment, which is significant because current practices have unintended harmful effects and are unsustainable. Achieving these aims must first involve scientific development of ecofriendly lead molecules. This project will develop platform technologies for the design of bioactive peptides or proteins based on molecules used naturally for highl ....Peptides and Proteins for Fighting Pests and Protecting the Environment. This project aims to use peptides and proteins to fight pests and protect the environment, which is significant because current practices have unintended harmful effects and are unsustainable. Achieving these aims must first involve scientific development of ecofriendly lead molecules. This project will develop platform technologies for the design of bioactive peptides or proteins based on molecules used naturally for highly selective functions in communication and defence. Expected outcomes include novel peptide and protein leads and improved strategies for developing them, which will lead to new and safer ways of protecting biodiversity and food security that are expected to reduce our environmental footprint and bring economic benefits.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE240100006
Funder
Australian Research Council
Funding Amount
$350,000.00
Summary
Northern Australia Plant Biosecurity Facility. Quarantine glasshouses (Biosecurity Containment Level 2) are required to develop research with invasive plants. However, in Australia, no quarantine glasshouses exist north of parallel 27 (Brisbane), posing a remarkable barrier to research on tropical biosecurity. This proposal aims to establish a quarantine glasshouse for a broad range of internal and external users, enabling scientists based in the Australian tropics and other interested parties t ....Northern Australia Plant Biosecurity Facility. Quarantine glasshouses (Biosecurity Containment Level 2) are required to develop research with invasive plants. However, in Australia, no quarantine glasshouses exist north of parallel 27 (Brisbane), posing a remarkable barrier to research on tropical biosecurity. This proposal aims to establish a quarantine glasshouse for a broad range of internal and external users, enabling scientists based in the Australian tropics and other interested parties to address plant biosecurity risks from and for northern Australia. Tropical biosecurity is a key area of strategic focus for JCU and its network of partners, who will benefit from the targeted research, quarantine services, and specialized training that will be enabled by this facility.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100273
Funder
Australian Research Council
Funding Amount
$407,679.00
Summary
Supercomputing to understand track buckling and related train derailments. This project aims to understand the contributions of railway train forces to a dangerous and high-cost track dynamic behaviour called buckling; by developing a supercomputing method that unlocks the capability for large-scale 3D train-track interaction research for railway trains of up to 250 vehicles. This project expects to generate new knowledge regarding track buckling, train derailments and train-track dynamics. Expe ....Supercomputing to understand track buckling and related train derailments. This project aims to understand the contributions of railway train forces to a dangerous and high-cost track dynamic behaviour called buckling; by developing a supercomputing method that unlocks the capability for large-scale 3D train-track interaction research for railway trains of up to 250 vehicles. This project expects to generate new knowledge regarding track buckling, train derailments and train-track dynamics. Expected outcomes include a new supercomputing method for train-track dynamics and derailment research and a science-based technique to assess track buckling safety. This project should provide significant benefits to the rail industry including enhanced rail safety, lower maintenance costs and improved transport efficiency.Read moreRead less
From shape to function: how structured RNA defines insect flaviviruses. The goal of this project is to obtain an understanding of how insect-specific flaviviruses (ISFs) utilise viral noncoding RNAs to enable their replication in mosquitoes. These viruses only replicate in mosquitoes, and not in humans or animals. They can be employed as the biocontrol agents for mosquito-borne diseases as they make mosquitoes incapable of disease transmission. However, it is currently unknown how exactly insect ....From shape to function: how structured RNA defines insect flaviviruses. The goal of this project is to obtain an understanding of how insect-specific flaviviruses (ISFs) utilise viral noncoding RNAs to enable their replication in mosquitoes. These viruses only replicate in mosquitoes, and not in humans or animals. They can be employed as the biocontrol agents for mosquito-borne diseases as they make mosquitoes incapable of disease transmission. However, it is currently unknown how exactly insect-specific flaviviruses affect mosquitoes and this information is vital for informed design of ISF-based interventions. The project will generate new knowledge on functions of noncoding RNAs in ISFs that are hypothesised to have immunomodulatory role in mosquitoes. It will also train students and ECRs.Read moreRead less
Condition-Based Maintenance Optimisation for Queensland’s Railways. Rail maintainers currently use time-based (scheduled) approaches to balance the costs and benefits of inspections and maintenance. Changing to condition-based maintenance has the potential to reduce costs and improve track condition. This project aims to enable this approach for rail by developing: 1) new track degradation prediction techniques combining Big Data and engineering knowledge; 2) new on-board sensing capabilities fo ....Condition-Based Maintenance Optimisation for Queensland’s Railways. Rail maintainers currently use time-based (scheduled) approaches to balance the costs and benefits of inspections and maintenance. Changing to condition-based maintenance has the potential to reduce costs and improve track condition. This project aims to enable this approach for rail by developing: 1) new track degradation prediction techniques combining Big Data and engineering knowledge; 2) new on-board sensing capabilities for frequent, low-cost track monitoring; 3) novel inspection and maintenance optimisation methods to efficiently allocate resources. The knowledge generated by this project is expected to decrease maintenance costs, safety risk, and track closures and therefore enhance the affordability and reliability of rail travel.Read moreRead less
Condition Monitoring of Aircraft Propulsion for Automated Diagnostics. The integrity of the steering system is crucial for the safe operation of autonomous vehicles. This project aims at developing a new condition monitoring system able to diagnose steering faults earlier, provide a root-cause-analysis of malfunctions, and estimate associated failure risks in the future. The outcomes of this project will be a better understanding of steering faults and their effect on autonomous driving, timely ....Condition Monitoring of Aircraft Propulsion for Automated Diagnostics. The integrity of the steering system is crucial for the safe operation of autonomous vehicles. This project aims at developing a new condition monitoring system able to diagnose steering faults earlier, provide a root-cause-analysis of malfunctions, and estimate associated failure risks in the future. The outcomes of this project will be a better understanding of steering faults and their effect on autonomous driving, timely diagnostics and prognostics and innovative proactive control measures that mitigate their impact on autonomous driving quality and safety. The expected benefits for the automotive industry and end-users include increased safety and reliability of steering systems, and higher confidence in autonomous driving.Read moreRead less