Blue energy harvesting and storage technology for wearable electronics. This project aims to develop new self-charging power devices that can harvest and store body energy generated during body motions, and power smart and implantable medical electronics. The project will develop new Piezo-supercapacitors by designing new electrode materials and cell designs. The charge storage and transport kinetics will be uncovered using advanced in-situ characterisation techniques and modern simulation metho ....Blue energy harvesting and storage technology for wearable electronics. This project aims to develop new self-charging power devices that can harvest and store body energy generated during body motions, and power smart and implantable medical electronics. The project will develop new Piezo-supercapacitors by designing new electrode materials and cell designs. The charge storage and transport kinetics will be uncovered using advanced in-situ characterisation techniques and modern simulation methods. The project expects to generate new knowledge in blue energy harvesting and storage systems, training for young scientists, and generate intellectual property with potential commercialised products to be used in implantable devices, placing Australia at the forefront of new technology.Read moreRead less
Continuously learning to see. The ultimate goal of computer vision is to make a machine able to understand the world through analysis of images or videos. The new machine learning techniques developed in this project will enable previously impossible methods of computer vision and help strengthen Australia's competitiveness in this important area.
Resolving the impact of pressure on hot and low-oxygen combustion. Despite the important role of renewable energy sources, combustion will remain essential for transportation into the foreseeable future. This project aims to investigate flames burning in a hot and low-oxygen environment. The objective is to better understand how these conditions could be applied to gas turbines. This project expects to generate new knowledge to enable a reduction in emissions, improvement in efficiency and incre ....Resolving the impact of pressure on hot and low-oxygen combustion. Despite the important role of renewable energy sources, combustion will remain essential for transportation into the foreseeable future. This project aims to investigate flames burning in a hot and low-oxygen environment. The objective is to better understand how these conditions could be applied to gas turbines. This project expects to generate new knowledge to enable a reduction in emissions, improvement in efficiency and increase in power output. Expected outcomes of this project include improved understanding of the governing physics to enable development of design tools for next-generation engines. This should provide significant benefits, such as reduced reliance on fossil fuels and a critical reduction in greenhouse gas emissions.Read moreRead less
Rational Electrolyte Design and Engineering for Next-Generation Batteries. The fast-growing energy storage market demands new battery technologies with high energy density. Lithium (Li) metal batteries are an ideal solution, although instability of the Li metal/electrolyte interface remains a challenge. The project aims to drive key advancements in electrolyte engineering for Li metal batteries with long life and high safety. Advanced characterisation and computation will reveal the structure-pr ....Rational Electrolyte Design and Engineering for Next-Generation Batteries. The fast-growing energy storage market demands new battery technologies with high energy density. Lithium (Li) metal batteries are an ideal solution, although instability of the Li metal/electrolyte interface remains a challenge. The project aims to drive key advancements in electrolyte engineering for Li metal batteries with long life and high safety. Advanced characterisation and computation will reveal the structure-property relationship of electrolyte to build electrolyte design principles. This will contribute to ground-breaking knowledge, commercialisation, and boost Australia’s capability to design and manufacture next-generation energy storage devices for billion-dollar markets in smart grids, portable devices and electric vehicles.Read moreRead less
Data Exploitation for Critical Infrastructure Protection: Gathering Intelligence from Digital Evidence Collected from IT Networks and Process Control Systems. This proposal addresses the National Priority of Safeguarding Australia and its results will serve as a major input into current Australian Federal Government and Defence initiatives in digital evidence collection and exploitation as part of process control system security. It will play a significant part in satisfying the Australian commu ....Data Exploitation for Critical Infrastructure Protection: Gathering Intelligence from Digital Evidence Collected from IT Networks and Process Control Systems. This proposal addresses the National Priority of Safeguarding Australia and its results will serve as a major input into current Australian Federal Government and Defence initiatives in digital evidence collection and exploitation as part of process control system security. It will play a significant part in satisfying the Australian community that steps are being taken to safeguard national services and will develop techniques for protecting Australia against criminal or terrorist cyber attack on national services infrastructure. It will serve to develop niche Australian research expertise in this very specialised international field.Read moreRead less
Adapting Deep Learning for Real-world Medical Image Datasets. The project aims to investigate new deep learning modelling approaches to leverage real-world large-scale image data sets that contain noisy and incomplete labels and imbalanced class prevalence – to enable the use of these data sets for modelling deep learning classifiers. Expected outcomes include an innovative method for modelling deep learning classifiers. The research will involve new inter-disciplinary and international collabor ....Adapting Deep Learning for Real-world Medical Image Datasets. The project aims to investigate new deep learning modelling approaches to leverage real-world large-scale image data sets that contain noisy and incomplete labels and imbalanced class prevalence – to enable the use of these data sets for modelling deep learning classifiers. Expected outcomes include an innovative method for modelling deep learning classifiers. The research will involve new inter-disciplinary and international collaborations with machine learning and medical image analysis research institutions. This should provide significant benefits, such as better understanding of deep learning theory, new deep learning applications that can use previously unexplored data sets, and training for the future Australian workforce.Read moreRead less
A multi-messenger approach to understanding the high-energy Universe. Some of the most violent objects in the Universe produce extremely energetic radiation in the form of particles, gamma-rays and neutrinos. Innovative observatories like IceCube, a cubic kilometre of instrumented ice at the South Pole, are being used to identify these astrophysical sources and the mechanisms that produce this extreme radiation.
Improving anti-salt crystallisation for solar-steam desalination. This project aims to solve a critical issue of solar-steam desalination by fundamental research. The solar-steam desalination technology offers an ideal strategy to utilize solar light as the energy source for desalination and water purification to produce affordable clean water. Photothermal materials play a key role in the desalination system to convert sunlight to heat and subsequently evaporate the saline water to generate ste ....Improving anti-salt crystallisation for solar-steam desalination. This project aims to solve a critical issue of solar-steam desalination by fundamental research. The solar-steam desalination technology offers an ideal strategy to utilize solar light as the energy source for desalination and water purification to produce affordable clean water. Photothermal materials play a key role in the desalination system to convert sunlight to heat and subsequently evaporate the saline water to generate steam as clean water. However, salt crystallization on the photothermal material surfaces severely limits the performance of the materials and clean water production. Solving this problem could accelerate the commercialisation and application of this technology, which will benefit millions of people worldwide.Read moreRead less
How is information organised in the mind? Learning structured mental representations from data. One of the biggest questions in psychology is to understand the principles that the mind uses to organise information. This project is both a search for these underlying psychological laws, and an attempt to develop new statistical technologies and mathematical tools that can be used to organise information in applied settings.
Electrocatalytic Refinery for Fuels and Chemicals . The aim is to produce the fundamental science for sustainable production of fuels and chemicals through an advanced electrocatalytic approach using abundant small-molecule sources like water, carbon dioxide, and nitrogen oxides as feedstocks. A range of highly active and selective electrode catalysts will be developed for electrolysis processes at ambient temperatures and pressures, by an interdisciplinary approach combining atomic-level materi ....Electrocatalytic Refinery for Fuels and Chemicals . The aim is to produce the fundamental science for sustainable production of fuels and chemicals through an advanced electrocatalytic approach using abundant small-molecule sources like water, carbon dioxide, and nitrogen oxides as feedstocks. A range of highly active and selective electrode catalysts will be developed for electrolysis processes at ambient temperatures and pressures, by an interdisciplinary approach combining atomic-level material design principles, in situ/ex situ instrumental techniques, and modern computation methods. The expected outcomes will be of great significance for renewable energy use and clean fuel generation – the major energy and environmental challenges facing Australia and the world.Read moreRead less