Functional magnetic resonance imaging: Decoding the palimpsest. This project aims to model the dynamics of functional magnetic resonance imaging (fMRI) to image new physiology and attain higher resolution. This will enable new aspects of brain dynamics to be imaged, achieving higher resolution and improving interpretation. This project is expected to improve the use and power of fMRI, unlock new avenues for probing brain function and save experimental costs. This will have many uses in neuroscie ....Functional magnetic resonance imaging: Decoding the palimpsest. This project aims to model the dynamics of functional magnetic resonance imaging (fMRI) to image new physiology and attain higher resolution. This will enable new aspects of brain dynamics to be imaged, achieving higher resolution and improving interpretation. This project is expected to improve the use and power of fMRI, unlock new avenues for probing brain function and save experimental costs. This will have many uses in neuroscience, brain imaging technology and fMRI analysis software.Read moreRead less
Quantum equilibration. This project will shed light on a fundamental problem in physics - how do fragile quantum systems, entirely isolated from the rest of the world, return to equilibrium when disturbed from their natural state? Our results will provide a theoretical underpinning for the development of quantum simulators that can be used for the design of advanced materials.
Intelligent pattern recognition of water end uses enabling recommendations. This project aims to develop a hybrid machine learning method for autonomously disaggregating high- and low-resolution water flow data received from smart meters into discrete end-use events, and a customised recommender system for efficient resource demand management. Project novelty and significance relates to this coupling and autonomous disaggregation of datasets from advanced sensors, enabling more efficient utility ....Intelligent pattern recognition of water end uses enabling recommendations. This project aims to develop a hybrid machine learning method for autonomously disaggregating high- and low-resolution water flow data received from smart meters into discrete end-use events, and a customised recommender system for efficient resource demand management. Project novelty and significance relates to this coupling and autonomous disaggregation of datasets from advanced sensors, enabling more efficient utility services delivery and lower customer utility bills. Project benefits include enabling utilities to better manage and plan resources in the information age, while empowering customers with real-time water end-use data and behaviour changing consumption recommendations.Read moreRead less
Systematically model the large-scale complexity of turbulent floods and thin film flows. This project continues development of new models, and computer
simulation, of turbulent flood, river and estuarine flow. The models
will be based systematically upon established turbulence models to
resolve accurately the complex physical processes. The development of
new and robust computer models for thin layers of coating fluid will
aid many industrial processes. We also aim to provide correct ini ....Systematically model the large-scale complexity of turbulent floods and thin film flows. This project continues development of new models, and computer
simulation, of turbulent flood, river and estuarine flow. The models
will be based systematically upon established turbulence models to
resolve accurately the complex physical processes. The development of
new and robust computer models for thin layers of coating fluid will
aid many industrial processes. We also aim to provide correct initial
conditions and boundary conditions for simpler cases of the above
flows. The approach leads to a greater understanding of the range of
applicability of the models through better estimating the errors in the
modelling process. The project develops a fundamental enabling
methodology for engineering and the sciences.
Read moreRead less
Light from darkness: understanding extrasolar planets from their shadows. This project aims to determine the detailed properties of "sub-Saturn" planets. Theories of planet formation are heavily biased toward explaining our Solar System, which is not representative of the general population of planetary systems in our Galaxy. The vast majority of other planetary systems feature “warm sub-Saturns”: planets of ~10-100 Earth masses orbiting close to their host star. Due to a shortage of well-charac ....Light from darkness: understanding extrasolar planets from their shadows. This project aims to determine the detailed properties of "sub-Saturn" planets. Theories of planet formation are heavily biased toward explaining our Solar System, which is not representative of the general population of planetary systems in our Galaxy. The vast majority of other planetary systems feature “warm sub-Saturns”: planets of ~10-100 Earth masses orbiting close to their host star. Due to a shortage of well-characterised sub-Saturns, little is known about their composition and detailed properties. This project aims to advance our understanding of planet formation via intensive, dedicated ground-based characterisation of these new planets.Read moreRead less
Effective and accurate model dynamics, deterministic and stochastic, across multiple space and time scales. A persistent feature of complex systems in engineering and science is the emergence of macroscopic, coarse grained, coherent behaviour from the interactions of microscopic agents (molecules, cells, grains) and with their environment. In current modeling, ranging from ecology to materials science, the underlying microscopic mechanisms are often known, but the closures to translate microscal ....Effective and accurate model dynamics, deterministic and stochastic, across multiple space and time scales. A persistent feature of complex systems in engineering and science is the emergence of macroscopic, coarse grained, coherent behaviour from the interactions of microscopic agents (molecules, cells, grains) and with their environment. In current modeling, ranging from ecology to materials science, the underlying microscopic mechanisms are often known, but the closures to translate microscale knowledge to a system level macroscopic description are rarely available in closed form. Our novel methodology will explore this stumbling block, and promises to radically change the modeling, exploration and understanding of multiscale complex system behaviour.Read moreRead less
Catch me if you can: The race to rescue the smallest planets. This project will upgrade a unique Australian observatory to study the smallest planets around other stars, using an innovative new technique to provide high precision measurements capturing the tiny shadow of planets as they cross in front of their stars. The project aims to generate new knowledge on potentially Earth-like planets and contribute to the legacy of current and next-generation space telescopes. Expected outcomes include ....Catch me if you can: The race to rescue the smallest planets. This project will upgrade a unique Australian observatory to study the smallest planets around other stars, using an innovative new technique to provide high precision measurements capturing the tiny shadow of planets as they cross in front of their stars. The project aims to generate new knowledge on potentially Earth-like planets and contribute to the legacy of current and next-generation space telescopes. Expected outcomes include preserving a list of best planets for in-depth characterisations, and the first Australian facility to match the capability of space observatories: detecting planets as small as Earth. This project will benefit the international community by optimising the effort of future space telescopes.Read moreRead less
Thermal engineering in semiconductor heterojunction for space transducers . Microelectromechanical system (MEMS) transducers, including sensors and actuators, are essential for space applications. However, MEMS transducers have not yet provided compelling performance for the space industry as they typically experience degradation of performance when subjected to elevated temperature and radiation. This research aims to develop an innovative transducer technology that uses a temperature gradient ....Thermal engineering in semiconductor heterojunction for space transducers . Microelectromechanical system (MEMS) transducers, including sensors and actuators, are essential for space applications. However, MEMS transducers have not yet provided compelling performance for the space industry as they typically experience degradation of performance when subjected to elevated temperature and radiation. This research aims to develop an innovative transducer technology that uses a temperature gradient to enhance performance and a radiation-hard material to ensure reliability and longevity. Expected outcomes include improved understanding of transducer performance under temperature gradient, appropriate material selection, and design recommendations for high-performance transducers with applications in space and defence.Read moreRead less
Modelling of multiscale systems in engineering and science supports large-scale equation-free simulations and analysis. A persistent feature of complex systems in engineering and science is the emergence of macroscopic, coarse grained, coherent behaviour from the interactions of microscopic agents (molecules, cells) and with their environment. In current modeling, ranging from ecology to materials science, the underlying microscopic mechanisms are known, but the closures to translate microscale ....Modelling of multiscale systems in engineering and science supports large-scale equation-free simulations and analysis. A persistent feature of complex systems in engineering and science is the emergence of macroscopic, coarse grained, coherent behaviour from the interactions of microscopic agents (molecules, cells) and with their environment. In current modeling, ranging from ecology to materials science, the underlying microscopic mechanisms are known, but the closures to translate microscale knowledge to a system level macroscopic description are rarely available in closed form. Our novel, equation free, computational methodologies will circumvent this stumbling block, and promises to radically change the modeling, exploration and understanding of complex system behavior. We continue to develop this powerful computational methodology. Read moreRead less
Micro-electromechanical technology for harnessing terahertz waves. This project proposes novel low-cost miniature devices for spectral, spatial and temporal manipulation of terahertz waves realised using a unified platform based on a single material and fabrication technology sufficiently generic to span the entire very broad terahertz band. It inherently overcomes the most hindering issue of current terahertz instruments relating to the limited span of the spectrum each tool can cover and the h ....Micro-electromechanical technology for harnessing terahertz waves. This project proposes novel low-cost miniature devices for spectral, spatial and temporal manipulation of terahertz waves realised using a unified platform based on a single material and fabrication technology sufficiently generic to span the entire very broad terahertz band. It inherently overcomes the most hindering issue of current terahertz instruments relating to the limited span of the spectrum each tool can cover and the high costs associated with increasing this span; removing the need for making spectral band compromises in the design of future tools. The intended outcome is a platform for terahertz spectroscopic imaging, target recognition, detection of chemical composition of objects, and future high-bandwidth communications.Read moreRead less