System identification of microstructure in the brain using magnetic resonance. Magnetic Resonance Imaging technologies will be exploited to probe the microstructure of the brain, using powerful Bayesian optimisation techniques and innovative uses of magnetic resonance. The project will in particular develop non-invasive imaging methods to quantify iron content in the brain, important for research on dementia and Alzheimer's disease.
Multifunctional particles for biological applications. This project aims to engineer multifunctional particles, examine their biological interactions and create particles for cell targeting, cell internalisation, subcellular drug release and improved pharmacokinetics. Engineered particles are important for drug delivery in nanomedicine. Although various particle-based delivery systems have been developed, few have been commercialised, largely because of problems challenges associated with biolog ....Multifunctional particles for biological applications. This project aims to engineer multifunctional particles, examine their biological interactions and create particles for cell targeting, cell internalisation, subcellular drug release and improved pharmacokinetics. Engineered particles are important for drug delivery in nanomedicine. Although various particle-based delivery systems have been developed, few have been commercialised, largely because of problems challenges associated with biological barriers. This project will develop a platform for the assemble of particles with tailored properties which are expected to provide insights on particle-biological interactions for particle-based therapeutic delivery.Read moreRead less
Dynamical systems theory and mathematical modelling of viral infections. This project aims to use mathematical modelling to elucidate the emergence of complex, population-level behaviour from local interactions. In particular, the project will study the self-organising dynamics of the immune response. The project expects to develop new mathematical models of self-organisation, advance links between computational agent-based modelling and dynamical systems modelling, and build new tools for mat ....Dynamical systems theory and mathematical modelling of viral infections. This project aims to use mathematical modelling to elucidate the emergence of complex, population-level behaviour from local interactions. In particular, the project will study the self-organising dynamics of the immune response. The project expects to develop new mathematical models of self-organisation, advance links between computational agent-based modelling and dynamical systems modelling, and build new tools for mathematically analysing complex biological systems. Expected outcomes include strengthened collaborations within Australia and with South Korea. Expected benefits include joint research funding with Korean institutions, increased international visibility, and expanded scope for high school and community outreach.Read moreRead less
Functional state observers for large-scale interconnected systems. This project will produce conceptual advances with new design rules to develop robust and efficient functional state observers for interconnected systems. The outcomes will advance the theory of functional observers and improve the operation, efficiency and performance of critical infrastructure such as power grids, water and traffic networks.
Establishing nanoscale design principles for non-viral genome engineering. This project aims to develop a bio-nanotechnology platform for non-viral genome engineering using dendronised polymers. The project will advance both fundamental and practical knowledge at the forefront of nanotechnology and cell biology, whilst providing training to the research community. Outcomes from the project will also provide significant benefits, such as positioning Australia at the forefront of genome engineerin ....Establishing nanoscale design principles for non-viral genome engineering. This project aims to develop a bio-nanotechnology platform for non-viral genome engineering using dendronised polymers. The project will advance both fundamental and practical knowledge at the forefront of nanotechnology and cell biology, whilst providing training to the research community. Outcomes from the project will also provide significant benefits, such as positioning Australia at the forefront of genome engineering.Read moreRead less
Capturing full-spectrum of solar energy using TiO2 ordered suprastructures. The project aims to develop a titanium dioxide (TiO2) semiconductor that can use full-spectrum solar energy. Solar-driven photocatalytic processes have important applications in water decontamination and energy production. Their effectiveness is dictated by the semiconductor’s absorbance and conversion of photoenergy to chemical energy. Being inexpensive, chemically and mechanically robust, TiO2 is the most promising mat ....Capturing full-spectrum of solar energy using TiO2 ordered suprastructures. The project aims to develop a titanium dioxide (TiO2) semiconductor that can use full-spectrum solar energy. Solar-driven photocatalytic processes have important applications in water decontamination and energy production. Their effectiveness is dictated by the semiconductor’s absorbance and conversion of photoenergy to chemical energy. Being inexpensive, chemically and mechanically robust, TiO2 is the most promising material for the semiconductor. However, unmodified TiO2 only absorbs ultraviolet light (5 per cent of solar energy). With current progress made in visible absorbance, this project aims to significantly improve TiO2’s absorbance in near infrared by doping with upconversion lanthanides and rendering colloidal crystal suprastructures that can trap light.Read moreRead less
Jean Rhys: Her Literary Career. In recent decades Jean Rhys (1890-1979) has become an iconic (post) colonial modernist author. With fresh major archival finds, close work on manuscript materials, and new scholarship on location, this project will reposition her literary career. Innovative approaches to Rhys’s affiliations with other writers and artists and her interest in popular cultures feature in the research methodology. The project addresses the ways that the reception of Rhys’s fiction ove ....Jean Rhys: Her Literary Career. In recent decades Jean Rhys (1890-1979) has become an iconic (post) colonial modernist author. With fresh major archival finds, close work on manuscript materials, and new scholarship on location, this project will reposition her literary career. Innovative approaches to Rhys’s affiliations with other writers and artists and her interest in popular cultures feature in the research methodology. The project addresses the ways that the reception of Rhys’s fiction over time and across cultures may be read, creative engagements with Rhys, and biographical responsibility. Projected publications include a scholarly monograph; articles; a digital knowledge site; and contributions to an international collaborative project on interculturality. Read moreRead less
New Directions in Bayesian Statistics: formulation, computation and application to exemplar challenges. Bayesian statistics is a fundamental statistical and machine learning approach for density estimation, data analysis and inference. However, there remain open questions regarding the formulation of the model, the likelihood and priors, and efficient computation. This project proposes new approaches that address these issues, and applies them to two exemplar challenges: the impact of climate ch ....New Directions in Bayesian Statistics: formulation, computation and application to exemplar challenges. Bayesian statistics is a fundamental statistical and machine learning approach for density estimation, data analysis and inference. However, there remain open questions regarding the formulation of the model, the likelihood and priors, and efficient computation. This project proposes new approaches that address these issues, and applies them to two exemplar challenges: the impact of climate change on the Great Barrier Reef and better understanding neurological diseases related aging, in particular Parkinson's Disease. Read moreRead less
Novel solution processable carbon nanohybrids. Carbon nanomaterials have extraordinary electrical and mechanical properties but their processing into robust macroscopic structures is difficult. This project will develop innovative processing strategies to bring carbon nanohybrids a step closer to large scale applications, particularly in high-performance energy storage and conversion devices.
Learning control and computational models of human motor systems. With the aim of understanding how humans learn their body movements, this project addresses fundamental cross-disciplinary issues of learning control, robotics and computational models of human motor systems. The results will lead to improvements in smart industrial automation and the development of more effective rehabilitation stategies.