The first integrated multimodal assay for the ultrasensitive detection of dengue contamination of blood. This project will develop the first screening test to check for dengue contamination of blood donations in Australia. This will help ensure safe, continued supply from blood donors, particularly in Queensland where dengue is on the rise.
Quantitative micro-computed tomography for mechanobiological measurement. This project aims to investigate novel measurement approaches for complex cartilage and joint systems by utilising engineering and software design, imaging physics and musculoskeletal biology. Accurate measurement of these living biological systems in action expects to generate new knowledge and a fundamental understanding of their mechanobiological processes. This project will enhance understanding of this complex system ....Quantitative micro-computed tomography for mechanobiological measurement. This project aims to investigate novel measurement approaches for complex cartilage and joint systems by utilising engineering and software design, imaging physics and musculoskeletal biology. Accurate measurement of these living biological systems in action expects to generate new knowledge and a fundamental understanding of their mechanobiological processes. This project will enhance understanding of this complex system and facilitate our capacity to innovate functional solutions in biomedical engineering and biosciences.Read moreRead less
Engineering floating liquid marbles for three-dimensional cell cultures. This project aims to understand the physics of three-dimensional cell cultures in a liquid marble floating on a liquid free surface. New methodology developed can produce these cell cultures without using matrices or scaffolds and with run-times well beyond existing technologies. This methodology closely mimics a normal in-vivo environment and produces spheroids needed in cell transplantation therapies. This project will re ....Engineering floating liquid marbles for three-dimensional cell cultures. This project aims to understand the physics of three-dimensional cell cultures in a liquid marble floating on a liquid free surface. New methodology developed can produce these cell cultures without using matrices or scaffolds and with run-times well beyond existing technologies. This methodology closely mimics a normal in-vivo environment and produces spheroids needed in cell transplantation therapies. This project will resolve uncertainties in the underlying phenomena. The expected outcome should support future high quality cell cultures suitable for transplantation therapies.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100909
Funder
Australian Research Council
Funding Amount
$425,523.00
Summary
3D micro-bioprinting: acoustic actuation to shape single-cell organization. This project aims to develop an innovative cell-printing technology to replicate the microscale cell structure found in native human and animal tissues. This is based on an interdisciplinary concept that combines ultra-high frequency acoustic cell manipulation with 3D stereolithography printing, and will examine acoustic waveguide element design and their topological optimisation. In contrast to current 3D printing metho ....3D micro-bioprinting: acoustic actuation to shape single-cell organization. This project aims to develop an innovative cell-printing technology to replicate the microscale cell structure found in native human and animal tissues. This is based on an interdisciplinary concept that combines ultra-high frequency acoustic cell manipulation with 3D stereolithography printing, and will examine acoustic waveguide element design and their topological optimisation. In contrast to current 3D printing methods that are not suitable for precisely integrating microscale elements in the printing process, this work will open up the range of materials, including functional human tissues, that can be printed.Read moreRead less
Practical model-based control for low emission and low cost diesel engines. Practical model-based control for low emission and low cost diesel engines. This project aims to develop and implement robust multivariable model predictive control algorithms for low emission and low cost diesel engines that reduce calibration effort. Legislative and increasing consumer requirements demand better control approaches than have been deployed in production vehicles to date, and motivate the use of model bas ....Practical model-based control for low emission and low cost diesel engines. Practical model-based control for low emission and low cost diesel engines. This project aims to develop and implement robust multivariable model predictive control algorithms for low emission and low cost diesel engines that reduce calibration effort. Legislative and increasing consumer requirements demand better control approaches than have been deployed in production vehicles to date, and motivate the use of model based techniques to meet performance and emissions specifications. However, current model-based controllers amplify the calibration effort and increase development costs as the tuning parameters are not related to time domain specifications. The anticipated outcome is new model based control architectures that improve diesel engine operation and reduce its calibration effort and cost.Read moreRead less
Precision-engineered hybrid core-shell materials . This project aims to develop new platform technologies for making nanostructured hybrid core-shell materials with exceptionally high drug loading and programmed release. Building on this research team's recent breakthrough in the precision engineering of core-shell materials, this research will revolutionise current approaches for making drug-loaded polymer and inorganic particles. Significant outcomes will include a novel sequential nanoprecipi ....Precision-engineered hybrid core-shell materials . This project aims to develop new platform technologies for making nanostructured hybrid core-shell materials with exceptionally high drug loading and programmed release. Building on this research team's recent breakthrough in the precision engineering of core-shell materials, this research will revolutionise current approaches for making drug-loaded polymer and inorganic particles. Significant outcomes will include a novel sequential nanoprecipitation platform technology for making drug-core polymer-shell nanoparticles, and a new bio-inspired approach for making hybrid drug-core silica-shell nanocomposites, and new materials for applications in programmed release and delivery systems.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
Australian Laureate Fellowships - Grant ID: FL190100014
Funder
Australian Research Council
Funding Amount
$2,871,982.00
Summary
New Technologies for Delivering Sustainable Free-form Architecture. This project aims to harness the full potential of digital technologies to significantly enhance the performance and reduce the environmental impact of free-form architecture of the future. The research expects to establish a fundamentally new computational platform capable of producing diverse and competitive designs, and an environmentally friendly manufacturing process for realising such designs. Expected outcomes include an ....New Technologies for Delivering Sustainable Free-form Architecture. This project aims to harness the full potential of digital technologies to significantly enhance the performance and reduce the environmental impact of free-form architecture of the future. The research expects to establish a fundamentally new computational platform capable of producing diverse and competitive designs, and an environmentally friendly manufacturing process for realising such designs. Expected outcomes include an unprecedented cloud-based interactive design tool, and a novel minimum-waste manufacturing technology for fabricating mass-customised building components. This project will transform the architecture, engineering and construction (AEC) sector and make the Australian manufacturing industry more competitive globally.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