Discovery Early Career Researcher Award - Grant ID: DE160100742
Funder
Australian Research Council
Funding Amount
$315,000.00
Summary
Biofilms in two-dimensional turbulent flows:effects on Lagrangian transport. This project aims to investigate how surface biofilms affect flows at the ocean surface. Great stretches of the ocean surface are covered by an organic microlayer called biofilm. Flows at the ocean surface are a crucial part of climate machinery, and biofilms have profound, largely unexplored effects on these flows. There is no fundamental understanding of how biofilms affect fluid motion. This project aims to use labor ....Biofilms in two-dimensional turbulent flows:effects on Lagrangian transport. This project aims to investigate how surface biofilms affect flows at the ocean surface. Great stretches of the ocean surface are covered by an organic microlayer called biofilm. Flows at the ocean surface are a crucial part of climate machinery, and biofilms have profound, largely unexplored effects on these flows. There is no fundamental understanding of how biofilms affect fluid motion. This project aims to use laboratory models and new measurement techniques to study and quantify the impact of biofilms on turbulent transport. Understanding these effects is important in a time of climate change and this knowledge may also help address environmental issues related to spreading of pollutants and flow control at the ocean surface.Read moreRead less
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
Navigating tipping points in complex dynamical systems. This project aims to use applied mathematics to investigate the onset of tipping points in dynamical systems. Working with clinicians and practicing engineers, the project aims to contribute to the development of new treatment regimes for dynamical diseases and develop improved management strategies for resource focussed engineering industries. This should provide significant benefit to many areas, including the personalised treatment of di ....Navigating tipping points in complex dynamical systems. This project aims to use applied mathematics to investigate the onset of tipping points in dynamical systems. Working with clinicians and practicing engineers, the project aims to contribute to the development of new treatment regimes for dynamical diseases and develop improved management strategies for resource focussed engineering industries. This should provide significant benefit to many areas, including the personalised treatment of disease.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL140100025
Funder
Australian Research Council
Funding Amount
$2,617,462.00
Summary
The physical brain: emergent, multiscale, nonlinear, and critical dynamics. The physical brain: emergent, multiscale, nonlinear, and critical dynamics. This project aims to transform the understanding of the structure and function of the brain as a complex physical system. It aims to reveal and unify new aspects of information processing, transitions in conscious state, and nonlinear brain interactions by translating and applying concepts and methods from physics and mathematics. It will treat b ....The physical brain: emergent, multiscale, nonlinear, and critical dynamics. The physical brain: emergent, multiscale, nonlinear, and critical dynamics. This project aims to transform the understanding of the structure and function of the brain as a complex physical system. It aims to reveal and unify new aspects of information processing, transitions in conscious state, and nonlinear brain interactions by translating and applying concepts and methods from physics and mathematics. It will treat brain structure and dynamics together to address emergent phenomena like waves and patterns on multiple scales, treating waves as equal participants alongside neurons. Innovative predictions of brain phenomena will aim to be verified against data and used to understand brain networks, dynamics, and the physical phenomena underlying information processing and consciousness.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180101268
Funder
Australian Research Council
Funding Amount
$367,446.00
Summary
Inference and resilient control of complex cyber-physical networks. This project aims to establish a fundamental framework to efficiently analyse and control critical, modern infrastructure networks such as power grids and the Internet. The project expects to bridge the gap between cyber-physical network theory and network resilience engineering through developing a body of knowledge about cyber-physical systems, security analysis and emergence of network behaviours. The project will develop des ....Inference and resilient control of complex cyber-physical networks. This project aims to establish a fundamental framework to efficiently analyse and control critical, modern infrastructure networks such as power grids and the Internet. The project expects to bridge the gap between cyber-physical network theory and network resilience engineering through developing a body of knowledge about cyber-physical systems, security analysis and emergence of network behaviours. The project will develop design methodologies to improve the resilience of these networks against internal faults and external attacks. This should improve the robustness and invulnerability of Australian power grids and the Internet against random failures and malicious cyber-physical attacks.Read moreRead less
Light on a nanoscale: channelling energy through space and time to control neuronal activity. Quantum-mechanical effects of energy transfer and resonance will be harnessed to yield ultrabright nanoscale light sources. Research will unveil the intricate interplay between energy harvesting, transferring and emitting centres designed so that the flow of energy exhibits a directed character. This focussed intense energy will produce abundant visible photons from infrared light. Genetically engineere ....Light on a nanoscale: channelling energy through space and time to control neuronal activity. Quantum-mechanical effects of energy transfer and resonance will be harnessed to yield ultrabright nanoscale light sources. Research will unveil the intricate interplay between energy harvesting, transferring and emitting centres designed so that the flow of energy exhibits a directed character. This focussed intense energy will produce abundant visible photons from infrared light. Genetically engineered cells able to be stimulated optically by using an optogenetics method will be illuminated by our nanoscale light causing modulation of cell activity. This new capability will enable remote control of neuronal activity in specific circuits within the nervous system without the limitation of surgically inserted optical fibres.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.
Discovery Early Career Researcher Award - Grant ID: DE160100630
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Relating function of complex networks to structure using information theory. This project aims to investigate networks in order to translate network function to a universal language of information flows. Network science has used common tools to reveal universal connection structures within various biological and man-made networks – our brains, social networks and power grids are all networks of interacting components. Yet there is no common method to study the function of these networks and how ....Relating function of complex networks to structure using information theory. This project aims to investigate networks in order to translate network function to a universal language of information flows. Network science has used common tools to reveal universal connection structures within various biological and man-made networks – our brains, social networks and power grids are all networks of interacting components. Yet there is no common method to study the function of these networks and how such function is coupled with structure. This project aims to relate network structure to function by using measures of information processing as a generally-applicable framework. This will deliver a theory of how structure gives rise to dynamics and how structure can be optimised for desired dynamics.Read moreRead less
Dynamic tomography: high-resolution, four-dimensional imaging of processes. This project will develop imaging technology that allows us to collect detailed, three dimensional movies of complex, microscopic processes in a laboratory. This technology will have applications in soil science, biology, oil extraction, and carbon sequestration.
Spatiotemporal dynamics and analysis of functional magnetic resonance imaging. Functional magnetic resonance imaging (fMRI) produces signals generated by brain activity in fine detail, but links between activity and images are poorly understood, posing a barrier to full use of the technology. Predictions from our new theory of such links will be made, tested experimentally and used to improve fMRI and discover new phenomena.