Energy Source Durability for Electric Vertical TakeOff and Landing Aircraft. This project aims to address energy source durability for electric Vertical Take Off and Landing (eVTOL) aircraft by optimising a fuel cell/battery/ultracapacitor triple hybrid energy system. The project expects to generate new knowledge in the area of energy source durability using interdisciplinary approaches that combine energy source degradation models, hardware-in-the-loop simulations, aero-propulsive flight mechan ....Energy Source Durability for Electric Vertical TakeOff and Landing Aircraft. This project aims to address energy source durability for electric Vertical Take Off and Landing (eVTOL) aircraft by optimising a fuel cell/battery/ultracapacitor triple hybrid energy system. The project expects to generate new knowledge in the area of energy source durability using interdisciplinary approaches that combine energy source degradation models, hardware-in-the-loop simulations, aero-propulsive flight mechanics models, and accelerated degradation testing. This should provide significant benefits, allowing to fast-track the improved longevity needed for cost-competitive long-range rapid response air ambulance eVTOL operations.Read moreRead less
Control and learning for enhancing capabilities of quantum sensors. This project aims to develop new theories and algorithms to enhance capabilities in engineering quantum sensors from the perspective of systems and control. The project is significant because it is anticipated to advance key knowledge and provide systematic methods to enable achievement of high-precision sensing for wide applications, e.g., early disease detection, medical research, discovery of ore deposits and groundwater moni ....Control and learning for enhancing capabilities of quantum sensors. This project aims to develop new theories and algorithms to enhance capabilities in engineering quantum sensors from the perspective of systems and control. The project is significant because it is anticipated to advance key knowledge and provide systematic methods to enable achievement of high-precision sensing for wide applications, e.g., early disease detection, medical research, discovery of ore deposits and groundwater monitoring. The intended outcomes are fundamental theories, effective control and learning algorithms for achieving highly-sensitive sensors. These outcomes should make important contributions to and deliver new knowledge and skills for Australia's sensing industries, which could benefit Australia's economic growth.Read moreRead less
Interactive learning for robots in human environments. This project aims to develop robots that can interact with and learn from humans to quickly and safely learn new skills. Recent advances in robotics and artificial intelligence are poised to transform our economy, workplaces and homes, and even the organisation of society, however these advances are limited by robots’ inability to learn and adapt in uncertain environments. The outcomes of this project are expected to include new validated me ....Interactive learning for robots in human environments. This project aims to develop robots that can interact with and learn from humans to quickly and safely learn new skills. Recent advances in robotics and artificial intelligence are poised to transform our economy, workplaces and homes, and even the organisation of society, however these advances are limited by robots’ inability to learn and adapt in uncertain environments. The outcomes of this project are expected to include new validated methods and frameworks to enable robots to be used by non-experts and to be quickly deployed in a variety of settings. This is anticipated to provide transformative benefits, improving safety and productivity in the workspace, and enabling improved comfort, convenience and quality of life in the home.Read moreRead less
Improving the performance of Australian social insurance schemes. Applying methods from computational social science, this project aims to develop a novel, multi-level modeling framework to assist transport injury, workplace injury and disability insurance schemes consistently achieve and maintain standards of high performance as recognised by international benchmarks. By creating a virtual laboratory for policy-makers and scheme managers, it expects to generate a comprehensive understanding of ....Improving the performance of Australian social insurance schemes. Applying methods from computational social science, this project aims to develop a novel, multi-level modeling framework to assist transport injury, workplace injury and disability insurance schemes consistently achieve and maintain standards of high performance as recognised by international benchmarks. By creating a virtual laboratory for policy-makers and scheme managers, it expects to generate a comprehensive understanding of mechanisms driving insurance scheme performance, enabling comparison of anticipated outcomes in response to legislative changes, policy changes and management decisions. The project aims to help schemes avoid human and financial failure, benefitting people with injuries and disabilities while reducing scheme costs.Read moreRead less
Untangling environmental effects on bee health in the face of Varroa . This project aims to assess bee health, disease and evolution in European honeybees and bumblebees. Bee viruses transmitted by the destructive Varroa mite cause worldwide pollinator declines. Factors determining bee health will be identified across Australia, New Zealand and the United Kingdom, which differ in Varroa impact and bee introduction histories. Harnessing Australia’s currently threatened Varroa-free status, the bum ....Untangling environmental effects on bee health in the face of Varroa . This project aims to assess bee health, disease and evolution in European honeybees and bumblebees. Bee viruses transmitted by the destructive Varroa mite cause worldwide pollinator declines. Factors determining bee health will be identified across Australia, New Zealand and the United Kingdom, which differ in Varroa impact and bee introduction histories. Harnessing Australia’s currently threatened Varroa-free status, the bumblebee invasion in Tasmania, and cutting-edge multi-omics techniques (for microbiomes, viruses and genomes), predictors of disease dynamics will be identified for two globally important bee pollinators. The project outcomes will boost Australia's capacity to manage threats to pollination services at landscape scales.Read moreRead less
Computational Mechanisms of Online Attention Markets. The internet has operated as an major exchange of information and attention for the past few decades, yet surprisingly little is known about how individual choices and collective attention interact, let alone about how different parties can influence or control it. This project aims to uncover the mathematical underpinnings between individual actions and collective trends in online attention market, design computational methods for estimating ....Computational Mechanisms of Online Attention Markets. The internet has operated as an major exchange of information and attention for the past few decades, yet surprisingly little is known about how individual choices and collective attention interact, let alone about how different parties can influence or control it. This project aims to uncover the mathematical underpinnings between individual actions and collective trends in online attention market, design computational methods for estimating and influencing attention allocation, and enable applications where content consumers, producers, hosting platforms and regulatory bodies are each empowered with their share of influence in the attention market.Read moreRead less
The cognitive neuroscience of motor skill learning. The capacity to produce skilled motor behaviour is essential for success in almost every aspect of our lives, whether it be playing sport, driving a car, operating machinery at work, or touch-typing. This project aims to establish the causal role of brain regions in motor skill learning by combining cutting-edge techniques in neuroimaging and brain stimulation. It is expected to lead to fundamental new knowledge on how new motor memories are cr ....The cognitive neuroscience of motor skill learning. The capacity to produce skilled motor behaviour is essential for success in almost every aspect of our lives, whether it be playing sport, driving a car, operating machinery at work, or touch-typing. This project aims to establish the causal role of brain regions in motor skill learning by combining cutting-edge techniques in neuroimaging and brain stimulation. It is expected to lead to fundamental new knowledge on how new motor memories are created to enable the expression of skilled motor behaviour. The knowledge gained from this project may identify new strategies for learning skills that are widely applicable to education, industry, sport, and health.Read moreRead less
Swarm construction: ant-inspired processes for teams of building robots. Construction and manufacturing can be dangerous, wasteful industries—prime candidates for automation by teams of mobile robot builders. However, our understanding of how to program robots for teamwork is limited. This project aims to understand how colonies of weaver ants build complex nest structures, using novel 3D-imaging and ant tracking techniques. The anticipated outcomes of the project are i) a framework for how indi ....Swarm construction: ant-inspired processes for teams of building robots. Construction and manufacturing can be dangerous, wasteful industries—prime candidates for automation by teams of mobile robot builders. However, our understanding of how to program robots for teamwork is limited. This project aims to understand how colonies of weaver ants build complex nest structures, using novel 3D-imaging and ant tracking techniques. The anticipated outcomes of the project are i) a framework for how individual-level behaviour drives structure-level outcomes, applicable to many complex systems, and ii) novel software and hardware for robot swarms that can 3D-print structures using ant inspired teamwork strategies. Benefits of the project include new construction technologies that are safer, greener, cheaper and faster.Read moreRead less
The red belly blockchain: a scalable blockchain for internet of things. This project aims to offer a blockchain that scales with the number of participants. There have been major investments in blockchain technologies during the last year as blockchains promise to disrupt industries like supply chains. Unfortunately, blockchains cannot solve this problem in their current form, because they cannot scale. They require resources that grow with the number of participants and yet fail at providing in ....The red belly blockchain: a scalable blockchain for internet of things. This project aims to offer a blockchain that scales with the number of participants. There have been major investments in blockchain technologies during the last year as blockchains promise to disrupt industries like supply chains. Unfortunately, blockchains cannot solve this problem in their current form, because they cannot scale. They require resources that grow with the number of participants and yet fail at providing increasing performance. The project will leverage many devices of limited resources to offer higher performance and will impact the distributed computing field by establishing a new connection between energy efficient systems and highly scalable distributed algorithms.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