Electronic skin nanopatches for continuous blood pressure monitoring. Electronic skin nanopatches for continuous blood pressure monitoring. This project aims to develop soft, thin, wearable and non-invasive heart health monitors that continuously monitor blood pressures anytime anywhere, using an electronic skin technology platform with the world’s thinnest gold nanowires. Nanotechnologists, electrical engineers, clinicians, information technologists and industrial designers will collaborate to ....Electronic skin nanopatches for continuous blood pressure monitoring. Electronic skin nanopatches for continuous blood pressure monitoring. This project aims to develop soft, thin, wearable and non-invasive heart health monitors that continuously monitor blood pressures anytime anywhere, using an electronic skin technology platform with the world’s thinnest gold nanowires. Nanotechnologists, electrical engineers, clinicians, information technologists and industrial designers will collaborate to develop blood pressure correlation algorithms and evaluate sensing performances. New knowledge and commercial technologies will make Australian medical technology industries competitive global leaders in wearable technology industries.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC180100030
Funder
Australian Research Council
Funding Amount
$3,925,357.00
Summary
ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching ....ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching objectives are to enable development and adoption of new practices to improve productivity and asset reliability for industry and to foster a new maintenance technology service sector for national and international markets.Read moreRead less
Maximum entropy modelling and Bayesian inference in turbulent fluid mechanics. Fluid turbulence, characterised by fluctuating properties such as velocity and density, remains one of the great unsolved problems of science, due to the difficulty of calculating the Reynolds stresses created by the turbulence. This project will bring a new technique, the maximum entropy method of Jaynes, to this challenge, for the formulation and closure of theoretical and reduced-order numerical models of turbulent ....Maximum entropy modelling and Bayesian inference in turbulent fluid mechanics. Fluid turbulence, characterised by fluctuating properties such as velocity and density, remains one of the great unsolved problems of science, due to the difficulty of calculating the Reynolds stresses created by the turbulence. This project will bring a new technique, the maximum entropy method of Jaynes, to this challenge, for the formulation and closure of theoretical and reduced-order numerical models of turbulent flows. Several well-characterised case study flows, of importance to human society, will be examined. Turbulent flow models will also be constructed by maximum-entropy and Bayesian methods directly from experimental data. The project will substantially enhance our ability to predict the behaviour of turbulent flows.Read moreRead less
Sensitivity Analysis of Networked Feedback Systems. This project is concerned with the analysis of networks of interacting dynamic feedback systems. This fundamental area of research underpins transportation networks, biomolecular signalling networks, economic systems, water supply, smart electricity grids, communications and a range of other applications. This work aims to address critical questions relating to robustness and sensitivity analysis questions in this context. This fundamental adva ....Sensitivity Analysis of Networked Feedback Systems. This project is concerned with the analysis of networks of interacting dynamic feedback systems. This fundamental area of research underpins transportation networks, biomolecular signalling networks, economic systems, water supply, smart electricity grids, communications and a range of other applications. This work aims to address critical questions relating to robustness and sensitivity analysis questions in this context. This fundamental advance in knowledge is expected to advance Australia's standing as an international authority in the area.Read moreRead less
Inventiveness and the progress of product innovation. Quantitative models of inventiveness will be used to forecast the potential rate of improvement of a technology and to re-design products to improve more rapidly and steadily. By focusing on innovation in products and technologies in energy conversion, this research can guide development funding for low-carbon energy generation.
Engineering an artificial protein molecular motor. This project aims to use non-motor protein building blocks to construct an artificial protein motor. Nature already uses nanotechnology as the basis for all its machinery, and uses proteins to construct machines. Each protein component in the motor will have a well-understood function; this artificial protein will elucidate how it converts chemical energy to motion. This process is not understood as molecular motors do not obey the same principl ....Engineering an artificial protein molecular motor. This project aims to use non-motor protein building blocks to construct an artificial protein motor. Nature already uses nanotechnology as the basis for all its machinery, and uses proteins to construct machines. Each protein component in the motor will have a well-understood function; this artificial protein will elucidate how it converts chemical energy to motion. This process is not understood as molecular motors do not obey the same principles as macroscopic machines. Comparing the artificial motor with biological motors will provide insight into the workings of natural motors. This project should lead to molecular motors for nanobiotechnology.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100715
Funder
Australian Research Council
Funding Amount
$330,000.00
Summary
Tunable plasmonics in ultra-doped transition metal oxides and chalcogenides. The project is designed to explore new classes of plasmonic materials based on low-dimensional transition metal oxide and chalcogenide nanostructures. These crystals, with stratified structures and high surface affinities to charged particles, present a new frontier in plasmonics by allowing reversible stimuli induced doping and defect embedding. The project plans to focus on achieving tunable plasmonic properties acros ....Tunable plasmonics in ultra-doped transition metal oxides and chalcogenides. The project is designed to explore new classes of plasmonic materials based on low-dimensional transition metal oxide and chalcogenide nanostructures. These crystals, with stratified structures and high surface affinities to charged particles, present a new frontier in plasmonics by allowing reversible stimuli induced doping and defect embedding. The project plans to focus on achieving tunable plasmonic properties across a broad spectrum from ultraviolet to infrared light. Targets are systems with low propagation losses or ultra-sensitivity towards environmental changes. The anticipated outcomes will serve as a base to establish the next generation plasmonic communication and sensing systems with active on-chip controllability, which could be used as the base of future telecommunications, energy harvesting and sensing systems.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100119
Funder
Australian Research Council
Funding Amount
$424,607.00
Summary
Manipulation of non-wetting droplets for cell culture. We have recently discovered an innovative and interdisciplinary approach for manipulating non-wetting droplets called “liquid marbles” as a platform for three-dimensional cell culture. This project aims to elucidate the fundamental physics underpinning the electrostatic handling concept of this platform technology. The project is expected to deliver an inexpensive but sophisticated cell culture platform that is well-suited for high-throughpu ....Manipulation of non-wetting droplets for cell culture. We have recently discovered an innovative and interdisciplinary approach for manipulating non-wetting droplets called “liquid marbles” as a platform for three-dimensional cell culture. This project aims to elucidate the fundamental physics underpinning the electrostatic handling concept of this platform technology. The project is expected to deliver an inexpensive but sophisticated cell culture platform that is well-suited for high-throughput drug screening and preparing cells for implantation therapy. Significant benefits for end users in pharmaceutical industry, life sciences research and hospitals are expected from the project and the application of the developed technology.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100415
Funder
Australian Research Council
Funding Amount
$432,483.00
Summary
Cross-layer Design for Ultra-reliable Low-latency Communications. This project aims to develop fundamental theories and practical technologies for ultra-reliable low-latency communications – one of the grand challenges in 5G cellular networks. Due to the dynamic nature of wireless networks, existing approaches dividing networks into multiple layers cannot guarantee a hard deadline with high reliability. The outcomes of the project will be cross-layer models for characterising the end-to-end perf ....Cross-layer Design for Ultra-reliable Low-latency Communications. This project aims to develop fundamental theories and practical technologies for ultra-reliable low-latency communications – one of the grand challenges in 5G cellular networks. Due to the dynamic nature of wireless networks, existing approaches dividing networks into multiple layers cannot guarantee a hard deadline with high reliability. The outcomes of the project will be cross-layer models for characterising the end-to-end performance, a prediction and communication co-design framework for improving the delay-reliability trade-off, and an online architecture for implementing model-based algorithms in real networks. They will underpin the development of remote control and advancing automation in manufacturing, transportation, mining, etc.Read moreRead less
Understanding the properties of layered nanostructures using in-situ TEM. This project aims to support the practical applications of layered nanostructure-based devices and systems. The development of layered chalcogenide nanostructures is a global research focus due to their potential applications in the energy sector. However, their structure–property link is unclear due to the lack of direct correlation between their structure and properties. This project aims to establish the intrinsic struc ....Understanding the properties of layered nanostructures using in-situ TEM. This project aims to support the practical applications of layered nanostructure-based devices and systems. The development of layered chalcogenide nanostructures is a global research focus due to their potential applications in the energy sector. However, their structure–property link is unclear due to the lack of direct correlation between their structure and properties. This project aims to establish the intrinsic structure–property link by closely correlating the structure (and structural variations) and properties (and varied properties) simultaneously determined from individual nanostructures inside a transmission electron microscope. Expected project outcomes may advance the knowledge base, and provide guidelines for the development of nanostructure-based devices for their high-performance applications, especially in the energy sector.Read moreRead less