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
Multi-modal virtual microscopy for quantitative diagnostic pathology. This project will contribute to the next generation of virtual microscopy systems that provide innovative features capable of significantly increasing the adoption of digital imaging technology throughout the field of diagnostic pathology. These tools will especially contribute to the screening and diagnosis of cervical, lung and bladder cancer.
Geobiological gold cycling: Golden opportunities for the minerals industry. This project aims to develop new geobiological tools for gold exploration and processing that are rooted in a fundamental understanding of geobiological gold cycling. Given the high production costs, the sustainability of the Australian gold industry relies strongly on innovation. Yet, there are many gaps in our fundamental understanding of bio (geo)chemical gold dispersion and precipitation. This project aims to fill th ....Geobiological gold cycling: Golden opportunities for the minerals industry. This project aims to develop new geobiological tools for gold exploration and processing that are rooted in a fundamental understanding of geobiological gold cycling. Given the high production costs, the sustainability of the Australian gold industry relies strongly on innovation. Yet, there are many gaps in our fundamental understanding of bio (geo)chemical gold dispersion and precipitation. This project aims to fill these gaps by linking biochemical pathways of gold mobilisation and resistance in bacteria to its transport and biomineralisation. This would enable the development of protein-based biosensors, bioindicators and nanovectors. These would support the development of exploration and bioaccumulation technologies that allow more economically sustainable and environmentally viable mining practices, such as enhancing production from subeconomic ore.Read moreRead less
Next-generation computational models to understand human joints . This project aims to investigate human joint systems through combining state-of-the-art imaging and high-fidelity biomechanical models. The methods developed in this project are expected to generate new ways of studying the dynamic response of musculoskeletal tissues to activity, including how musculoskeletal physiology can adapt to biomechanical stimuli. Expected outcomes include establishing a non-invasive method for characteris ....Next-generation computational models to understand human joints . This project aims to investigate human joint systems through combining state-of-the-art imaging and high-fidelity biomechanical models. The methods developed in this project are expected to generate new ways of studying the dynamic response of musculoskeletal tissues to activity, including how musculoskeletal physiology can adapt to biomechanical stimuli. Expected outcomes include establishing a non-invasive method for characterising whole joint systems. This project will provide significant knowledge gain on the biomechanical regulation of human joints across form, function, dynamics and loading which may help across many facets of society to guide physical activity choices.Read moreRead less
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
Efficient Management of Things for the Future World Wide Web. The future World Wide Web will connect billions of physical objects, which will offer exciting capabilities to change the world and improve the quality of human lives, just as what the Web has done in the past 20 years. Effectively and efficiently managing things is one inevitable challenge in this new era and is much more complicated than managing traditional Web documents. This project aims to focus on this key problem and develop n ....Efficient Management of Things for the Future World Wide Web. The future World Wide Web will connect billions of physical objects, which will offer exciting capabilities to change the world and improve the quality of human lives, just as what the Web has done in the past 20 years. Effectively and efficiently managing things is one inevitable challenge in this new era and is much more complicated than managing traditional Web documents. This project aims to focus on this key problem and develop novel techniques for linking resource-constrained things to the Web, searching them using a new search engine, as well as discovering latent relationships among things for advanced management tasks such as things recommendation and composition.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.
A kinematically and micromechanically enriched constitutive modelling framework for failure of geomaterials. Failure at large scale such as slopes, embankments, and underground mining is fatal in terms of human lives and property loss. This project aims to develop a new methodology to connect micro-mechanisms that trigger and govern failure with the behaviour at much larger scales. In particular it will allow building constitutive models directly from micro-scale mechanisms, while possessing the ....A kinematically and micromechanically enriched constitutive modelling framework for failure of geomaterials. Failure at large scale such as slopes, embankments, and underground mining is fatal in terms of human lives and property loss. This project aims to develop a new methodology to connect micro-mechanisms that trigger and govern failure with the behaviour at much larger scales. In particular it will allow building constitutive models directly from micro-scale mechanisms, while possessing the capability to span the spatial scales. It will also transform the understanding of material property scaling into a predictive tool for engineering analysis, helping to obtain more cost effective designs with greater confidence in safety.Read moreRead less
Organic Bionics: Soft Materials to Solve Hard Problems in Neuroengineering. This project aims to combine innovations in organic conductors, nanotechnology, 3D biofabrication and neuroengineering to develop a bioelectronic system capable of wireless neuromodulation with unprecedented stability and precision. This project expects to generate new knowledge regarding the properties of materials that promote optical neuromodulation and new strategies to obtain long-term material stability in biologic ....Organic Bionics: Soft Materials to Solve Hard Problems in Neuroengineering. This project aims to combine innovations in organic conductors, nanotechnology, 3D biofabrication and neuroengineering to develop a bioelectronic system capable of wireless neuromodulation with unprecedented stability and precision. This project expects to generate new knowledge regarding the properties of materials that promote optical neuromodulation and new strategies to obtain long-term material stability in biological environments. The expected outcome is to generate new material design rules to facilitate wireless neuromodulation technologies in biomedical engineering. The project will position Australia as a leader in bionic devices by creating a new 3D bioprinting hub for low-cost fabrication of bioelectronic systems.Read moreRead less
Femoral microarchitecture, strength and locomotion in adult people. This project aims at unravelling the load bearing capacity of human femora microarchitecture. The project will quantify the relationship between geometry, microarchitecture, strain and strength in adult people during normal and accidental motor tasks using micro-computed-tomography images, motion data, supercomputing technology and multivariate statistic. It will benefit the design of novel implantable devices, enhance exercise ....Femoral microarchitecture, strength and locomotion in adult people. This project aims at unravelling the load bearing capacity of human femora microarchitecture. The project will quantify the relationship between geometry, microarchitecture, strain and strength in adult people during normal and accidental motor tasks using micro-computed-tomography images, motion data, supercomputing technology and multivariate statistic. It will benefit the design of novel implantable devices, enhance exercise therapies and diagnostic techniques for promoting hip strength. The project will contribute to the engineering of biological tissue and the development of high-strength and light-weight bio-inspired materials.Read moreRead less