Photosynthesis under extreme conditions. The aim of this project is to characterise modifications to the light dependent reactions of photosynthesis of simple, single cell organisms that live under harsh environmental conditions including: i) elevated temperature; ii) low, variable and low energy (red) light; iii) arid and variable hydration; and iv) chemical stress e.g. low pH. In a changing biosphere brought about by anthropological climate change, a better understanding of existing adaptions ....Photosynthesis under extreme conditions. The aim of this project is to characterise modifications to the light dependent reactions of photosynthesis of simple, single cell organisms that live under harsh environmental conditions including: i) elevated temperature; ii) low, variable and low energy (red) light; iii) arid and variable hydration; and iv) chemical stress e.g. low pH. In a changing biosphere brought about by anthropological climate change, a better understanding of existing adaptions of bacterial photosynthetic organisms may allow more resilient crops and other essential plants to be developed in the future. The project brings together an international consortium of world renowned experts across key aspects of photosynthesis. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140101375
Funder
Australian Research Council
Funding Amount
$395,220.00
Summary
The forest and the trees: How global brain rhythms facilitate local information processing. One of the greatest challenges in understanding the brain is the enormous range of scales it operates on, from single neurons a few microns across to entire hemispheres on the scale of tens of centimetres. This project will investigate how large-scale brain rhythms influence and facilitate information processing, particularly motor control, among small networks of individual neurons. The research question ....The forest and the trees: How global brain rhythms facilitate local information processing. One of the greatest challenges in understanding the brain is the enormous range of scales it operates on, from single neurons a few microns across to entire hemispheres on the scale of tens of centimetres. This project will investigate how large-scale brain rhythms influence and facilitate information processing, particularly motor control, among small networks of individual neurons. The research questions will be addressed by combining detailed computer simulations with data-driven analyses of empirical human and monkey brain dynamics. The outcomes of this project will provide a richer understanding of how our brains encode and process information, leading to practical benefits such as improved control of artificial limbs.Read moreRead less
Metaphotonics and metasurfaces for disruptive sensing technologies. This project aims to address a big challenge in nanophotonics by developing revolutionary methods for efficient chiral sensing of molecules without the need for spectrometry, frequency scanning, or moving mechanical parts, and to enhance chiroptical signals a hundredfold with the help of metasurface structures. Resonant metasurfaces are arrays of engineered dielectric nanoparticles with extraordinary characteristics, and they wo ....Metaphotonics and metasurfaces for disruptive sensing technologies. This project aims to address a big challenge in nanophotonics by developing revolutionary methods for efficient chiral sensing of molecules without the need for spectrometry, frequency scanning, or moving mechanical parts, and to enhance chiroptical signals a hundredfold with the help of metasurface structures. Resonant metasurfaces are arrays of engineered dielectric nanoparticles with extraordinary characteristics, and they would allow to overcome current limitations of chiral sensing analytical tools. Detecting chiral molecules in low concentrations is crucially important to many fields of biology, chemistry, and pharmacy, as well as to the food and cosmetics industries, constituting a market of tens of billions of dollars.Read moreRead less
X-ray Ghost Imaging and Tomography. This project aims to achieve safer, faster, and cheaper 3D X-ray imaging through a technique known as ghost imaging. X-ray imaging provides valuable information about internal structures, however, X-rays are carcinogenic and exposure (or dose) should be limited. Ghost imaging is an unconventional technique developed with visible light that has many potential benefits over conventional imaging. This research group are world leaders in ghost imaging and expect t ....X-ray Ghost Imaging and Tomography. This project aims to achieve safer, faster, and cheaper 3D X-ray imaging through a technique known as ghost imaging. X-ray imaging provides valuable information about internal structures, however, X-rays are carcinogenic and exposure (or dose) should be limited. Ghost imaging is an unconventional technique developed with visible light that has many potential benefits over conventional imaging. This research group are world leaders in ghost imaging and expect to develop software and hardware techniques to realise its potential and extend it to ghost tomography. The focus of this project is on reducing cancer risk in medical imaging, and allowing real-time quality control for 3D printing in safety-critical industries such as aerospace.Read moreRead less
High-resolution multiscale modelling of pandemics: COVID-19 and beyond. The project aims to develop high-resolution computational models for pandemic mitigation and control, focussing on the novel coronavirus and its emerging variants, and leveraging demographic, genomic and epidemiological data. It expects to rigorously compare multi-scale effects of complex vaccination and social distancing strategies and quantify optimal responses under the COVID-19 induced uncertainty. The intended outcomes ....High-resolution multiscale modelling of pandemics: COVID-19 and beyond. The project aims to develop high-resolution computational models for pandemic mitigation and control, focussing on the novel coronavirus and its emerging variants, and leveraging demographic, genomic and epidemiological data. It expects to rigorously compare multi-scale effects of complex vaccination and social distancing strategies and quantify optimal responses under the COVID-19 induced uncertainty. The intended outcomes include computational models of how the most infectious viral variants emerge and spread in presence of interventions, how to predict the outbreaks, and which are the most vulnerable communities. This should make a significant economic and social impact, improving population health while maintaining a resilient economy.Read moreRead less
Quantifying emergence and dynamics of foodborne epidemics in Australia. The project aims to greatly improve the accuracy and scope of computational epidemiological models predicting emergence and evolution of foodborne diseases in Australia. It expects to reveal key pathways for both biological evolution of microorganisms, and their spread though food supply chains and human interactions. The intended outcomes include discovering how the most dominant strains of foodborne infection emerge and se ....Quantifying emergence and dynamics of foodborne epidemics in Australia. The project aims to greatly improve the accuracy and scope of computational epidemiological models predicting emergence and evolution of foodborne diseases in Australia. It expects to reveal key pathways for both biological evolution of microorganisms, and their spread though food supply chains and human interactions. The intended outcomes include discovering how the most dominant strains of foodborne infection emerge and self-organise in complex networks, how to predict and contain the epidemics closer to their source, and which are the most vulnerable groups and communities. This should make a significant economic and social impact, improving health of the population, while also safeguarding national and international supply chains.Read moreRead less