Establishing Design Principles Of Polymers For Intracellular Delivery . Engineered polymers have played a central role in the field of bionanotechnology by enabling targeted nanoscale cell interactions. Progress in the field of intracellular delivery is currently affected by a major bottleneck due to the absence of effective polymers that is applicable across the range of bimolecular cargoes. In essence depending on the type of cargo: DNA, RNA or protien, the polymer needs programmability. The l ....Establishing Design Principles Of Polymers For Intracellular Delivery . Engineered polymers have played a central role in the field of bionanotechnology by enabling targeted nanoscale cell interactions. Progress in the field of intracellular delivery is currently affected by a major bottleneck due to the absence of effective polymers that is applicable across the range of bimolecular cargoes. In essence depending on the type of cargo: DNA, RNA or protien, the polymer needs programmability. The limited tunability of traditional polymers agents makes them unsuitable for this particular application. The multidisciplinary project addresses this significant problem by engineering novel sequences of defined polymer based nanoscale agents to achieve efficient delivery in cells.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
Bespoke nanomaterials for understanding nano-bio interactions under flow. This project aims to develop innovative scalable synthesis techniques to produce polymeric nanomaterials with controlled properties and characterise interactions between nanomaterials and cells under flow conditions. This project expects to generate new knowledge in priority research areas of nanotechnology, polymer chemistry and immunology. The outcome of this project is an original scalable and environmentally friendly t ....Bespoke nanomaterials for understanding nano-bio interactions under flow. This project aims to develop innovative scalable synthesis techniques to produce polymeric nanomaterials with controlled properties and characterise interactions between nanomaterials and cells under flow conditions. This project expects to generate new knowledge in priority research areas of nanotechnology, polymer chemistry and immunology. The outcome of this project is an original scalable and environmentally friendly technology, new knowledge of cell-nanomaterial interactions and new design principles for nanoparticles with potential future applications in drug delivery, immunology and nanomedicine. This project should provide significant benefits to polymer, nanomaterial and pharmaceutical research and industry in Australia.Read moreRead less
Advancing the visualisation and quantification of nephrons with MRI. . This project aims to characterise key components of nephrons, the glomeruli and tubules, using magnetic resonance imaging without contrast agents, in combination with Deep Learning and super-resolution techniques. Nephrons, the basic functional unit of the kidney, are critical to the maintenance of the body’s homeostasis. Their number and architecture are critical determinants of kidney function. The expected outcomes are inn ....Advancing the visualisation and quantification of nephrons with MRI. . This project aims to characterise key components of nephrons, the glomeruli and tubules, using magnetic resonance imaging without contrast agents, in combination with Deep Learning and super-resolution techniques. Nephrons, the basic functional unit of the kidney, are critical to the maintenance of the body’s homeostasis. Their number and architecture are critical determinants of kidney function. The expected outcomes are innovative semi-automated nephron visualisation and quantitation tools that enable efficient renal phenotyping. Techniques tailored to widely accessible preclinical research scanners are expected to accelerate research into genetic and environmental factors affecting kidney microstructure in embryonic and post-natal life.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
On-Chip Detection and Molecular Fingerprinting of Emerging Toxicants. The project aims to address key questions about the development and integration of advanced materials and functional molecules into cutting-edge analytical tools for screening emerging environmental pollutants. This is expected to generate fundamental and applied knowledge in analytical chemistry, using an interdisciplinary approach to engineer materials with precisely tailored properties for ultra-sensitive and selective dete ....On-Chip Detection and Molecular Fingerprinting of Emerging Toxicants. The project aims to address key questions about the development and integration of advanced materials and functional molecules into cutting-edge analytical tools for screening emerging environmental pollutants. This is expected to generate fundamental and applied knowledge in analytical chemistry, using an interdisciplinary approach to engineer materials with precisely tailored properties for ultra-sensitive and selective detection of extremely persistent toxicants in water. Anticipated outcomes are optical materials and functional molecules, integrated into lab-on-a-chip platforms with advanced features for real-life environmental applications – with significant benefits for addressing major environmental and health treats to our society.Read moreRead less
Random network models with applications in biology. Complex biological systems consist of a large number of interacting agents or components, and so can be studied using mathematical random network models. We aim to gain deeper insights into the laws emerging as the random networks evolve in time. This can help us to deal with dangerous disease epidemics and better understand the human brain.
Pattern recognition in animals and machines: using machine learning to reveal cues central to the identification of individuals. The power to recognise individuals of a species requires significant image and pattern discrimination abilities. Yet, individual recognition has been found in a huge range of species, from humans to invertebrates demonstrating its importance for social interactions. The project will investigate this ability in lower vertebrates (fish, with no visual cortex), so as to u ....Pattern recognition in animals and machines: using machine learning to reveal cues central to the identification of individuals. The power to recognise individuals of a species requires significant image and pattern discrimination abilities. Yet, individual recognition has been found in a huge range of species, from humans to invertebrates demonstrating its importance for social interactions. The project will investigate this ability in lower vertebrates (fish, with no visual cortex), so as to understand the underlying mechanisms of pattern discrimination. The project will also test how robust this ability is during changes in water quality (elevated carbon dioxide levels and increased turbidity). The outcomes will further our knowledge base in lower vertebrate vision and evolution, and also have implications for human vision, image analysis, and artificial vision.Read moreRead less
A new approach to compressed sensing. Compressed sensing is an exciting new paradigm promising vastly improved signal sampling and reconstruction in a wide variety of applications including digital cameras, mobile phones and MRI machines. This project will explore a newly discovered approach to compressed sensing which uses mathematical arrays known as hash families.
Cosmological vacuum stability as a window on fundamental physics. Vacuum is not just the absence of matter: it is the lowest-energy state of our Universe. This project aims to investigate the existence of new particles via their impacts upon the vacuum of the Universe. It expects to develop methods required to extract information on the existence of new particles from the vacuum, using transitions between different vacua, resulting gravitational waves, and results from a broad range of other co ....Cosmological vacuum stability as a window on fundamental physics. Vacuum is not just the absence of matter: it is the lowest-energy state of our Universe. This project aims to investigate the existence of new particles via their impacts upon the vacuum of the Universe. It expects to develop methods required to extract information on the existence of new particles from the vacuum, using transitions between different vacua, resulting gravitational waves, and results from a broad range of other complementary experiments. Expected outcomes include comprehensive tests of four of the most compelling theoretical frameworks for new particles. Significant expected benefits include advanced training for Australian students in numerical methods, software development, statistical analysis and research computing.Read moreRead less