Discovery Early Career Researcher Award - Grant ID: DE200100238
Funder
Australian Research Council
Funding Amount
$426,087.00
Summary
Integrated silicon carbide nanosensors for monitoring extreme environment. This project aims to develop a highly sensitive and reliable sensing platform for structural health monitoring in harsh environments, encompassing high temperature, corrosion, and shock. These conditions have been posing several technical challenges to sensing and electronic devices. The project elucidates the piezoresistive and thermoresistive effects in silicon carbide nanowires, which are the building blocks of robust ....Integrated silicon carbide nanosensors for monitoring extreme environment. This project aims to develop a highly sensitive and reliable sensing platform for structural health monitoring in harsh environments, encompassing high temperature, corrosion, and shock. These conditions have been posing several technical challenges to sensing and electronic devices. The project elucidates the piezoresistive and thermoresistive effects in silicon carbide nanowires, which are the building blocks of robust mechanical and thermal sensors used in extreme conditions. The findings from this project expect to provide Australia with the cutting-edge expertise necessary for developing next-generation monitoring systems in the extreme environments of the oil/gas transportation, mining, automobile, and space exploration industries.Read moreRead less
Engineering nanomembranes for Long-term Implanted Flexible Electronics. This project aims to investigate the key technologies of inorganic semiconductor nanomembranes for long-lived bio-integrated electronics. Taking advantage of the well-established silicon carbide (SiC) synthesis and fabrication technology, the project expects to elucidate a new understanding of the SiC-on-polymer platform, establishing a foundational guideline for the development of chemically inert and mechanically flexible ....Engineering nanomembranes for Long-term Implanted Flexible Electronics. This project aims to investigate the key technologies of inorganic semiconductor nanomembranes for long-lived bio-integrated electronics. Taking advantage of the well-established silicon carbide (SiC) synthesis and fabrication technology, the project expects to elucidate a new understanding of the SiC-on-polymer platform, establishing a foundational guideline for the development of chemically inert and mechanically flexible devices. These findings will offer innovative solutions for daunting challenges in bio-integrated electronics, leveraging their safety, reliability, and long-term performance. The project expects to offer Australia cutting edge technologies and an impact profile in the fast-growing flexible bio-electronics market.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH170100013
Funder
Australian Research Council
Funding Amount
$2,962,655.00
Summary
ARC Research Hub for Digital Enhanced Living. The ARC Research Hub for Digital Enhanced Living aims to address the growing challenges of aging people living in their own home or residential care. This will be through inventing new personalised medical technologies through an innovative approach, with a multi-disciplinary team leveraging diverse expertise. An enhanced capacity to create and deploy fit-for-purpose personalised health solutions will result in revenues from new and repurposed device ....ARC Research Hub for Digital Enhanced Living. The ARC Research Hub for Digital Enhanced Living aims to address the growing challenges of aging people living in their own home or residential care. This will be through inventing new personalised medical technologies through an innovative approach, with a multi-disciplinary team leveraging diverse expertise. An enhanced capacity to create and deploy fit-for-purpose personalised health solutions will result in revenues from new and repurposed devices, analytics and integration platforms. New jobs and improved care will see cost reductions, better use of resources and enhanced mental, physical and social well-being.Read moreRead less
Photonic chip inertial movement sensors. This project aims to create a new class of optical inertial movement sensors using integrated photonic chip technology. By replacing optical fibre coils with compact waveguides, integrating light sources on-chip and by harnessing smart sensing approaches, we intend to reduce the required power from watts to milliwatts and reduce the dimensions from meters to centimetres. The expected project outcomes are sensors with military grade precision but with the ....Photonic chip inertial movement sensors. This project aims to create a new class of optical inertial movement sensors using integrated photonic chip technology. By replacing optical fibre coils with compact waveguides, integrating light sources on-chip and by harnessing smart sensing approaches, we intend to reduce the required power from watts to milliwatts and reduce the dimensions from meters to centimetres. The expected project outcomes are sensors with military grade precision but with the size, cost and manufacturability of consumer electronics. This technology will fill a strategic gap in the movement sensor market enabling applications ranging from robotic infrastructure monitoring, manufacture and surgery to guiding satellites and other space craft.Read moreRead less
Action selection in insects: how a microbrain knows what to do. Identifying what to do demands integrating sensory information with our current physiological state and memory of past experience to select the best possible action. This is the action selection problem. Our project aims to discover how tiny insect brains solve this fundamental problem. The project combines neural recordings from animals exploring virtual reality, behavioural analyses and computational modelling. The expected outco ....Action selection in insects: how a microbrain knows what to do. Identifying what to do demands integrating sensory information with our current physiological state and memory of past experience to select the best possible action. This is the action selection problem. Our project aims to discover how tiny insect brains solve this fundamental problem. The project combines neural recordings from animals exploring virtual reality, behavioural analyses and computational modelling. The expected outcome is a new understanding of the brain as an effective behavioural control system. This will benefit systems and comparative neuroscience. Our findings may also inspire solutions for robotic systems that must operate autonomously in remote and challenging environments such as disaster relief or exploration.Read moreRead less
What Can You Trust in the Large and Noisy Web? This project will develop innovative techniques to efficiently and effectively distill truthful information from the inherently unreliable and large-scale Web environment, where misinformation has been widely regarded as a grand challenge for the next decade. The results of this project will not only maintain Australia’s leadership in this frontier research area, but also support many important applications that safeguard Australian people and econo ....What Can You Trust in the Large and Noisy Web? This project will develop innovative techniques to efficiently and effectively distill truthful information from the inherently unreliable and large-scale Web environment, where misinformation has been widely regarded as a grand challenge for the next decade. The results of this project will not only maintain Australia’s leadership in this frontier research area, but also support many important applications that safeguard Australian people and economy such as emergency and disaster management and online healthcare. This project also serves as an excellent vehicle for the education and training of Australia’s next generation of scholars and engineers.Read moreRead less
Designing the next generation of geosynthetic liner systems . The project aims to improve the effectiveness of geosynthetic liner systems to contain emerging contaminants such as per-and poly-fluoroalkyl substances (PFASs) for better protection of Australian groundwater resources. The project expects to experimentally validate theory to improve predictive models for performance of geosynthetic liner systems. Expected outcomes include new and updated design guidelines for effective environmental ....Designing the next generation of geosynthetic liner systems . The project aims to improve the effectiveness of geosynthetic liner systems to contain emerging contaminants such as per-and poly-fluoroalkyl substances (PFASs) for better protection of Australian groundwater resources. The project expects to experimentally validate theory to improve predictive models for performance of geosynthetic liner systems. Expected outcomes include new and updated design guidelines for effective environmental protection against PFASs and establishment of new approaches for predicting functional containment lifetimes of liner systems. These outcomes are expected to benefit the waste and remediation industries by influencing next-generation design regulations to ensure long-term environmental protection from PFAS.Read moreRead less
Context and Activity Recognition for Personalised Behaviour Recommendation. The Internet of Things (IoT) together with the rising popularity of smartphones opens a new world for many exciting opportunities. The overall goal of this project is to develop new algorithms and data analytical techniques in an IoT environment that can accurately monitor and analyse personalised daily activities on a continuous, real-time basis. The expected result of this project will support many critical application ....Context and Activity Recognition for Personalised Behaviour Recommendation. The Internet of Things (IoT) together with the rising popularity of smartphones opens a new world for many exciting opportunities. The overall goal of this project is to develop new algorithms and data analytical techniques in an IoT environment that can accurately monitor and analyse personalised daily activities on a continuous, real-time basis. The expected result of this project will support many critical applications such as better wellness tracking and lifestyle-related illness prevention, which will be particularly critical to Australia's aging population. This project will also serve as a vehicle to educate and train Australia’s young scholars and engineers.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100119
Funder
Australian Research Council
Funding Amount
$427,111.00
Summary
Towards Internet of Things Enabled Automated Mushroom Cultivation. This project aims to develop novel Internet-of-Things based learning techniques to inform the design and construction of a portable, automated system for the cultivation of mushrooms. The expected outcomes are a portable smart mushroom cultivation system that provides access to new agriculture techniques and local, fresh supplies in rural and remote areas; learning algorithms that detect mushroom ripeness and set the best environ ....Towards Internet of Things Enabled Automated Mushroom Cultivation. This project aims to develop novel Internet-of-Things based learning techniques to inform the design and construction of a portable, automated system for the cultivation of mushrooms. The expected outcomes are a portable smart mushroom cultivation system that provides access to new agriculture techniques and local, fresh supplies in rural and remote areas; learning algorithms that detect mushroom ripeness and set the best environmental parameters; and a dataset of mushroom cultivation parameters. These products, and associated training opportunities through a strong focus on public and industry engagement, will benefit the industry partners and horticultural producers to improve resource efficiency, waste reduction, and overall yield.Read moreRead less