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
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
Bioinspired photo–iontronic membranes for smart neuron-mimicking systems. The project aims to address key fundamental questions about the development of bioinspired artificial nanochannels that can precisely mimic current signals and functionalities in neurons. This is expected to generate fundamental and applied knowledge in bioengineered photo–iontronic systems, harnessing a multidisciplinary approach to engineer materials with precisely tailored properties at the nanoscale for unprecedented d ....Bioinspired photo–iontronic membranes for smart neuron-mimicking systems. The project aims to address key fundamental questions about the development of bioinspired artificial nanochannels that can precisely mimic current signals and functionalities in neurons. This is expected to generate fundamental and applied knowledge in bioengineered photo–iontronic systems, harnessing a multidisciplinary approach to engineer materials with precisely tailored properties at the nanoscale for unprecedented dynamic control over ionic current through responsive, adaptable neuron-mimicking nanopores. Anticipated outcomes are advanced materials, integrated into smart architectures to overcome the limitations of solid-state systems for the next generation of integrated circuits, bio-interfacial sensors, and energy generators.Read moreRead less
Where do inductive biases come from? A Bayesian investigation. This project aims to investigate the origin of our thinking and learning biases using state-of-the-art mathematical models and sophisticated experimental designs. Expected outcomes include bridging the gap between human and machine learning by pairing mathematical modelling with experimental work, forming a necessary step toward the development of machine systems that can reason like people do. This will provide significant benefits ....Where do inductive biases come from? A Bayesian investigation. This project aims to investigate the origin of our thinking and learning biases using state-of-the-art mathematical models and sophisticated experimental designs. Expected outcomes include bridging the gap between human and machine learning by pairing mathematical modelling with experimental work, forming a necessary step toward the development of machine systems that can reason like people do. This will provide significant benefits such as understanding how people operate so effectively in real environments, when even the most powerful computers struggle to handle the complexities of everyday learning problems.Read moreRead less
Identification Power and Instrument Strength in Discrete Outcome Models. This project aims to develop new econometric and statistical techniques to quantify causal effects in treatment models with discrete outcomes. Expected outcomes include a much-needed weak instrument test, a measure for identification strength in partial identification setting, and an instrument-covariate selection procedure for high dimensional discrete models based identification power. The benefits include advanced knowle ....Identification Power and Instrument Strength in Discrete Outcome Models. This project aims to develop new econometric and statistical techniques to quantify causal effects in treatment models with discrete outcomes. Expected outcomes include a much-needed weak instrument test, a measure for identification strength in partial identification setting, and an instrument-covariate selection procedure for high dimensional discrete models based identification power. The benefits include advanced knowledge in econometrics and statistics, and enhanced tools for program evaluation and policy assessment in empirical causal analysis using observational data. The project falls into the category of smarter information use and is relevant to any national priority areas where policy interventions require assessment.Read moreRead less
Organically-Capped Copper Nanowires for Soft Electronic Skin Sensors. Soft skin-like electronics can enable applications that are impossible to achieve with today's rigid circuit board technologies. However, it is difficult to realise such future soft electronics with traditional materials and conventional manufacturing methodologies. This project aims to synthesise novel organically-capped copper nanowires as electronic inks (e-inks) for developing cost-effective, soft, stretchable conductor (e ....Organically-Capped Copper Nanowires for Soft Electronic Skin Sensors. Soft skin-like electronics can enable applications that are impossible to achieve with today's rigid circuit board technologies. However, it is difficult to realise such future soft electronics with traditional materials and conventional manufacturing methodologies. This project aims to synthesise novel organically-capped copper nanowires as electronic inks (e-inks) for developing cost-effective, soft, stretchable conductor (e-skin) sensors, which are wearable for monitoring blood pulses, body motions and hand gestures in real-time and in situ. This is expected to advance our knowledge in nanotechnology and generate patentable technologies in soft e-skin sensors, and to bring significant scientific and economic gains to Australia.Read moreRead less
Pushing the Boundaries of Multi-modal Biospectroscopic Microscopies. In order to understand the fundamentals of life processes, diseases, and their treatments, it is essential to probe fundamental changes in molecular processes in cells, tissues and whole organisms. Much of our understanding of these processes has involved the introduction of chemical probes for biospectroscopy, but these have inherent problems because the probe can often change the biochemistry that is being probed. This projec ....Pushing the Boundaries of Multi-modal Biospectroscopic Microscopies. In order to understand the fundamentals of life processes, diseases, and their treatments, it is essential to probe fundamental changes in molecular processes in cells, tissues and whole organisms. Much of our understanding of these processes has involved the introduction of chemical probes for biospectroscopy, but these have inherent problems because the probe can often change the biochemistry that is being probed. This project will push the boundaries of a variety of micro and nano "probe-free" microscopies to provide fundamental insights into these life processes, which could ultimately lead to improvements in the diagnosis, prevention and treatment of diseases.Read moreRead less
Engineered plant receptors as orthogonal neuronal switches. This project aims to develop synthetic biology methods to study brain function by utilising engineered plant receptors. This project will expand our ability to manipulate nerve cell function with high specificity and without side effects in freely behaving animals. Plant receptors will be developed into molecular tools in an iterative process that improves key properties using rational protein design. Expected outcomes include innovativ ....Engineered plant receptors as orthogonal neuronal switches. This project aims to develop synthetic biology methods to study brain function by utilising engineered plant receptors. This project will expand our ability to manipulate nerve cell function with high specificity and without side effects in freely behaving animals. Plant receptors will be developed into molecular tools in an iterative process that improves key properties using rational protein design. Expected outcomes include innovative and broadly-applicable neuroscience methods and an understanding of receptors involved in plant growth and defense. Benefits of this project include an enhanced capacity to generate knowledge, multidisciplinary training opportunities and patentable synthetic biology technologies.Read moreRead less
Learning from others: Inductive reasoning based on human-generated data. Most of the data we see every day, from politics to gossip, comes from other people. Making inferences about such data is difficult because the people who provided it may have biases or limitations in their knowledge that we do not know about and must figure out. This project uses a series of experiments tied to normative computational models of social reasoning to explore how people solve this problem. This work has the po ....Learning from others: Inductive reasoning based on human-generated data. Most of the data we see every day, from politics to gossip, comes from other people. Making inferences about such data is difficult because the people who provided it may have biases or limitations in their knowledge that we do not know about and must figure out. This project uses a series of experiments tied to normative computational models of social reasoning to explore how people solve this problem. This work has the potential to make a major impact in understanding how information is understood and shared, especially when it is about topics that people lack firsthand knowledge about, like climate change. The computational models also have applications to the development of expert systems upon which our information economy relies.Read moreRead less
Development of functional dendrimer-like inorganic nanomaterials with hierarchical pores for biological applications. This project aims to engineer a series of brand new dendrimer-like mesoporous silica nanoparticles with hierarchical pore structure and favourable surface functionality as nanocarriers to construct a smart delivery system. Unique materials structure and surface functionalisation design can endow the system with advanced characteristics of the co-loading of different therapeutic a ....Development of functional dendrimer-like inorganic nanomaterials with hierarchical pores for biological applications. This project aims to engineer a series of brand new dendrimer-like mesoporous silica nanoparticles with hierarchical pore structure and favourable surface functionality as nanocarriers to construct a smart delivery system. Unique materials structure and surface functionalisation design can endow the system with advanced characteristics of the co-loading of different therapeutic agents and the highly efficient target delivery that are not readily obtainable using other organic or inorganic materials. The proposed delivery systems are of great importance for improving the therapeutic efficiency of complex diseases, and in general, for expanding human’s life span.Read moreRead less