In-vivo functional imaging of cone photoreceptors and ganglion cell axons. Can we project a movie on a human retina, and measure the response of photoreceptor cells and connected nerve tissue? This project aims to investigate a new method for visualization of the quickest responses in human cone photoreceptors and nerve cells after a visible stimulus. Expected outcomes of this project include a better understanding of the origins of responses to a stimulus and how cells in the retina communicate ....In-vivo functional imaging of cone photoreceptors and ganglion cell axons. Can we project a movie on a human retina, and measure the response of photoreceptor cells and connected nerve tissue? This project aims to investigate a new method for visualization of the quickest responses in human cone photoreceptors and nerve cells after a visible stimulus. Expected outcomes of this project include a better understanding of the origins of responses to a stimulus and how cells in the retina communicate. The scientific results will be helpful in a better understanding of the development of vision in the infant eye, to study peripheral vision in elite athletes and to quantify performance of virtual reality equipment for the military. The IP on the technology can be licensed or used for start-up company.Read moreRead less
Biological applications of terahertz technology. This project aims to develop new knowledge for exploring the interaction of terahertz (THz) radiation with different materials. THz technology is in use in diverse applications from security screening to biomedical imaging. A hurdle to the widespread adoption of the technology is the poor understanding of the basic interaction between THz radiation and molecules, proteins, cells and tissues. This project will enable development of advanced THz tec ....Biological applications of terahertz technology. This project aims to develop new knowledge for exploring the interaction of terahertz (THz) radiation with different materials. THz technology is in use in diverse applications from security screening to biomedical imaging. A hurdle to the widespread adoption of the technology is the poor understanding of the basic interaction between THz radiation and molecules, proteins, cells and tissues. This project will enable development of advanced THz technology and applications and will lead to accelerated implementation for use in chemistry, biology and, ultimately, medicalapplications such as cancer detection.Read moreRead less
A novel precision-engineered microfluidic chip for wear particle research. This project aims to develop 1- novel protocols to generate clinically-relevant wear particles from spinal implants in-vitro and 2- a technological framework for the fabrication of a novel microfluidic 3D spinal implant-on-a-chip with tailored mechanical, material and biological properties. This will provide a cost-effective tool, currently unavailable, that allows investigation into the impact of wear particles on health ....A novel precision-engineered microfluidic chip for wear particle research. This project aims to develop 1- novel protocols to generate clinically-relevant wear particles from spinal implants in-vitro and 2- a technological framework for the fabrication of a novel microfluidic 3D spinal implant-on-a-chip with tailored mechanical, material and biological properties. This will provide a cost-effective tool, currently unavailable, that allows investigation into the impact of wear particles on healthy spinal disc cells. We expect our technological framework to become an invaluable tool for biomedical engineers, biologists, and bio-engineers to work together and generate clinically relevant in-vitro data that supports optimisation for spinal implant design, fabrication, and safety. Read moreRead less
Multi-hazard resilient hybrid modular structures. This project aims to develop the next generation of multi-hazard resilient modular construction methods for efficient, affordable and sustainable buildings. New demountable modular connections will be developed and the response of hybrid modular buildings to multiple hazards such as wind, earthquake, blast and impact will be investigated through a combination of experimental, numerical, and analytical studies. The project will develop knowledge o ....Multi-hazard resilient hybrid modular structures. This project aims to develop the next generation of multi-hazard resilient modular construction methods for efficient, affordable and sustainable buildings. New demountable modular connections will be developed and the response of hybrid modular buildings to multiple hazards such as wind, earthquake, blast and impact will be investigated through a combination of experimental, numerical, and analytical studies. The project will develop knowledge of the structural behaviour of hybrid modular buildings, and expects to deliver design methods and robust simplified models for building design purposes. This project will advance construction techniques and practices for resilient hybrid modular buildings.Read moreRead less
Innovative Data Driven Techniques for Structural Condition Monitoring . Safe and sustainable infrastructure involves the development and application of structural monitoring and assessment techniques for condition evaluation. This project develops an innovative structure condition monitoring approach based on the emerging digital technologies on image processing, data analytics and machine learning techniques, for better infrastructure asset management under operational environment. Expected out ....Innovative Data Driven Techniques for Structural Condition Monitoring . Safe and sustainable infrastructure involves the development and application of structural monitoring and assessment techniques for condition evaluation. This project develops an innovative structure condition monitoring approach based on the emerging digital technologies on image processing, data analytics and machine learning techniques, for better infrastructure asset management under operational environment. Expected outcomes of this project enhance the capacity to conduct the operational monitoring and data interpretation to deliver the best life cycle performance of infrastructure. This project should provide significant benefits to Australia in infrastructure asset management by reducing the interruption of infrastructure operations.Read moreRead less
AI Assisted Probabilistic Structural Health Monitoring with Uncertain Data. This project aims to develop an advanced Artificial Intelligence (AI) assisted probabilistic structural health monitoring approach for civil engineering structures. The developed approach applies novel deep learning techniques with a large amount of data measured from uncertain and complex environment, for reliable structural condition monitoring and performance prediction. This project expects to make a step change in d ....AI Assisted Probabilistic Structural Health Monitoring with Uncertain Data. This project aims to develop an advanced Artificial Intelligence (AI) assisted probabilistic structural health monitoring approach for civil engineering structures. The developed approach applies novel deep learning techniques with a large amount of data measured from uncertain and complex environment, for reliable structural condition monitoring and performance prediction. This project expects to make a step change in data mining and interpretation. Expected outcomes of the project include novel AI assisted approaches to conduct probabilistic structural condition monitoring with sensitive features and future structural performance prediction. This will provide significant benefits to infrastructure asset owners to reduce maintenance costs.Read moreRead less
Damage Detection and Quantification using Infrastructure Digital Twins. Structural health monitoring is vital for infrastructure assets management as early detection of structural conditions is key to both safety and ongoing maintenance. This project combines computer vision, vibration tests, finite element modelling and deep learning technologies to develop an efficient structural health monitoring system. Digital twins created from images taken by cameras or UAVs will be correlated through dee ....Damage Detection and Quantification using Infrastructure Digital Twins. Structural health monitoring is vital for infrastructure assets management as early detection of structural conditions is key to both safety and ongoing maintenance. This project combines computer vision, vibration tests, finite element modelling and deep learning technologies to develop an efficient structural health monitoring system. Digital twins created from images taken by cameras or UAVs will be correlated through deep learning with structural conditions and load-carrying capacities obtained from vibration tests and finite element model analysis for efficient structural damage detection and quantification. The project will lead to effective structural health monitoring and enhance structural safety and reduce maintenance costs. Read moreRead less
Elastic and biodegradable sponges/aerogels from exfoliated silk nanofibres . The aim of this project is to investigate methods to produce highly porous elastic sponges from silk protein nanofibres. These sponges will have optimal mechanical, insulation and degradation properties making them suitable for a wide range of applications including the biomedical and personal care sectors, where current products have significant drawbacks due to the use of non-biodegradable synthetic materials. Outco ....Elastic and biodegradable sponges/aerogels from exfoliated silk nanofibres . The aim of this project is to investigate methods to produce highly porous elastic sponges from silk protein nanofibres. These sponges will have optimal mechanical, insulation and degradation properties making them suitable for a wide range of applications including the biomedical and personal care sectors, where current products have significant drawbacks due to the use of non-biodegradable synthetic materials. Outcomes include new knowledge on controlling porous structures and tailoring properties to targeted applications. This project, by laying the groundwork for a new generation of bio-based materials, will benefit the Australian advanced manufacturing sector, and enhance Australia's standing in materials science and engineering.Read moreRead less
New insights into fundamental carrier transport in type-II superlattices. Type-II superlattice (T2SL) based semiconductors have emerged as a rival to well-established HgCdTe-based IR detectors, promising comparable performance at significantly lower cost. T2SLs are complex nanostructures that exhibit multiple-carrier and highly-anisotropic electronic transport properties, which renders them exceedingly challenging to study experimentally. The lack of reliable experimental data has limited optimi ....New insights into fundamental carrier transport in type-II superlattices. Type-II superlattice (T2SL) based semiconductors have emerged as a rival to well-established HgCdTe-based IR detectors, promising comparable performance at significantly lower cost. T2SLs are complex nanostructures that exhibit multiple-carrier and highly-anisotropic electronic transport properties, which renders them exceedingly challenging to study experimentally. The lack of reliable experimental data has limited optimisation and modelling efforts, and thus hampered progress. This project aims to systematically study electronic transport in T2SLs, both experimentally and theoretically, by employing world-leading mobility spectrum techniques developed at UWA and state-of-the art T2SL structures from three world leaders in T2SLs.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100123
Funder
Australian Research Council
Funding Amount
$427,318.00
Summary
Digital Twin to Manage Safety in Large-scale Transport Infrastructure Asset. This project aims to improve safety during the construction of transport assets by integrating the Internet of Things with image processing technologies to develop a digital twin framework. The developed framework will provide the construction organisations with the ability to create strategies and solutions needed to improve the safety of construction in real-time. The outcomes of this project will aid effective decisi ....Digital Twin to Manage Safety in Large-scale Transport Infrastructure Asset. This project aims to improve safety during the construction of transport assets by integrating the Internet of Things with image processing technologies to develop a digital twin framework. The developed framework will provide the construction organisations with the ability to create strategies and solutions needed to improve the safety of construction in real-time. The outcomes of this project will aid effective decision-making and thus enable the managerial actions required to eliminate workplace accidents. Improving safety performance not only augments productivity but also allows the economic and social benefits of transport infrastructure assets to be realised.Read moreRead less