Low-energy electro-photonics: novel materials, devices and systems. This project aims to develop low-power technologies for programming and tuning photonic integrated circuits (PICs). By replacing thermal tuning, the project will reduce power consumption from watts to milliwatts, which also eliminates the thermal crosstalk that limits the complexity of today's PICs. The expected outcome will be the basis for a generic field-programmable photonic chip, which can be used to rapidly prototype desig ....Low-energy electro-photonics: novel materials, devices and systems. This project aims to develop low-power technologies for programming and tuning photonic integrated circuits (PICs). By replacing thermal tuning, the project will reduce power consumption from watts to milliwatts, which also eliminates the thermal crosstalk that limits the complexity of today's PICs. The expected outcome will be the basis for a generic field-programmable photonic chip, which can be used to rapidly prototype designs for production as full custom chips as part of a new Australian industry capability. The expected benefits will be a faster innovation cycle, greater adoption of photonic technologies, and support of research into, for example, neuromorphic optical processing, and advanced communications and sensing systems.Read moreRead less
Deep visual understanding: learning to see in an unruly world. Deep Learning has achieved incredible success at an astonishing variety of Computer Vision tasks recently. This project aims to convey this success into the challenging domain of high-level image-based reasoning. It will extend deep learning to achieve flexible semantic reasoning about the content of images based on information gleaned from the huge volumes of data available on the Internet. The project expects to overcome one of the ....Deep visual understanding: learning to see in an unruly world. Deep Learning has achieved incredible success at an astonishing variety of Computer Vision tasks recently. This project aims to convey this success into the challenging domain of high-level image-based reasoning. It will extend deep learning to achieve flexible semantic reasoning about the content of images based on information gleaned from the huge volumes of data available on the Internet. The project expects to overcome one of the primary limitations of deep learning and will greatly increase its practical application to a range of industrial, cultural or health settings.Read moreRead less
Making Meta-learning Generalised . This project aims to develop novel machine learning techniques, termed generalised meta-learning, to make machines better utilise past experience to solve new tasks with few data. It expects to reduce the undesirable dependence of current machine learning on labelled data and significantly expand its application scope. Expected outcomes of the project consist of new theoretical results on meta-learning and a set of innovative algorithms that can support the bui ....Making Meta-learning Generalised . This project aims to develop novel machine learning techniques, termed generalised meta-learning, to make machines better utilise past experience to solve new tasks with few data. It expects to reduce the undesirable dependence of current machine learning on labelled data and significantly expand its application scope. Expected outcomes of the project consist of new theoretical results on meta-learning and a set of innovative algorithms that can support the building of next generation of computer vision systems to work in open and dynamic environments. This should be able to produce solid benefits to the science, society, and economy of Australian via the application of these advanced intelligent systems.Read moreRead less
EFR3: Novel gatekeeper of cell proliferation. This interdisciplinary, cross-institutional project uses leading-edge mass spectrometry and the yeast genetic model to enhance knowledge of fundamental signalling mechanisms common to cell proliferation of eukaryotic cells. Building on extensive preliminary data that identifies novel energy-stress control points, this research will generate insights into critical and conserved features of nutrient stress control of cell proliferation that ensures cel ....EFR3: Novel gatekeeper of cell proliferation. This interdisciplinary, cross-institutional project uses leading-edge mass spectrometry and the yeast genetic model to enhance knowledge of fundamental signalling mechanisms common to cell proliferation of eukaryotic cells. Building on extensive preliminary data that identifies novel energy-stress control points, this research will generate insights into critical and conserved features of nutrient stress control of cell proliferation that ensures cell survival. This project advances basic and applied biology. Its outcomes will be relevant to several research areas and industries, specifically to the propagation of cell cultures that nowadays contributes to the production of a myriad of biotechnical and pharmaceutical commodities.
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How do cells survive nutrient stress? Insight into mechanisms. This project studies cell survival under nutrient stress in eukaryotes. Building on extensive preliminary data that identifies novel TOR (Target of Rapamycin) Complex 2 (TORC2) control points it expects to generate new knowledge of critical and conserved features of stress control of macroautophagy that ensures cell survival. It uses interdisciplinary and innovative approaches to validate and characterize nutrient-stress dependent si ....How do cells survive nutrient stress? Insight into mechanisms. This project studies cell survival under nutrient stress in eukaryotes. Building on extensive preliminary data that identifies novel TOR (Target of Rapamycin) Complex 2 (TORC2) control points it expects to generate new knowledge of critical and conserved features of stress control of macroautophagy that ensures cell survival. It uses interdisciplinary and innovative approaches to validate and characterize nutrient-stress dependent signaling. Expected outcomes include novel insights into environmental control of cell proliferation and forging cross institutional collaborations. This knowledge benefits basic and applied biology and is relevant to industries/projects utilizing living cells as nutrient supports cell survival and proliferation.Read moreRead less
Mechanisms of memory function involving site-specific tau phosphorylation. This project aims to understand the molecular principles that facilitate encoding, maintenance and retrieval of memories in the brain. To store memories in brain circuits, electrical and chemical signals are crucial. Brain cells can integrate signals into biochemical modifications of intracellular proteins. The nature of the protein modifications that represent memory within brain cells is unknown. This project uses innov ....Mechanisms of memory function involving site-specific tau phosphorylation. This project aims to understand the molecular principles that facilitate encoding, maintenance and retrieval of memories in the brain. To store memories in brain circuits, electrical and chemical signals are crucial. Brain cells can integrate signals into biochemical modifications of intracellular proteins. The nature of the protein modifications that represent memory within brain cells is unknown. This project uses innovative genome editing, mathematical modelling and proteomic approaches, to study how biochemical modifications of a key protein called tau help encode and retrieve memories. These molecular insights will make a significant advance in the current understanding of a brain function that is essential to all human activities.Read moreRead less
Molecular control of memory traces. This project aims to understand how particular molecules help encode memories in the brain for future retrieval. Individual memories are encoded in brain cells through an unknown physical process. This project uses innovative approaches to manipulate memory-containing cells and will provide a new detailed explanation of memory. Outcomes of this work will significantly advance the current understanding of how memories are physically generated and maintained, wh ....Molecular control of memory traces. This project aims to understand how particular molecules help encode memories in the brain for future retrieval. Individual memories are encoded in brain cells through an unknown physical process. This project uses innovative approaches to manipulate memory-containing cells and will provide a new detailed explanation of memory. Outcomes of this work will significantly advance the current understanding of how memories are physically generated and maintained, which is an essential component of human and animal life. This research provides significant benefits in understanding the biology behind memory and in maintaining memory capacity in ageing.
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Defining how cells relay mechanical signals to changes in cell architecture. Mechanical signals play crucial roles in shaping organs and entire organisms during development, though how these signals are relayed to changes in cell architecture is a major unanswered question. Within vascular networks, mechanical signals including fluid flow, tension and stretch play key roles in vessel patterning, identity and maturation. This application aims to employ cutting-edge technologies to determine how t ....Defining how cells relay mechanical signals to changes in cell architecture. Mechanical signals play crucial roles in shaping organs and entire organisms during development, though how these signals are relayed to changes in cell architecture is a major unanswered question. Within vascular networks, mechanical signals including fluid flow, tension and stretch play key roles in vessel patterning, identity and maturation. This application aims to employ cutting-edge technologies to determine how the atypical cadherin FAT4 relays mechanical signals including flow and tension to the lymphatic endothelial cell skeleton, thereby enabling changes in cell shape important for building lymphatic vessels. This project will increase our understanding of how cells sense touch and may be applied for tissue engineering purposes.
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New Paradigms for Robust Fitting: Kernelisation and Polyhedral Search. Outliers inevitably exist in visual data due to imperfect data acquisition or preprocessing. To enable computer vision applications that can perform reliably, robust fitting algorithms are necessary to counter the biasing influence of outliers. However, current robust algorithms are unsatisfactory: they are unreliable (due to using randomisation) or too computationally costly (due to using exhaustive search). This project wil ....New Paradigms for Robust Fitting: Kernelisation and Polyhedral Search. Outliers inevitably exist in visual data due to imperfect data acquisition or preprocessing. To enable computer vision applications that can perform reliably, robust fitting algorithms are necessary to counter the biasing influence of outliers. However, current robust algorithms are unsatisfactory: they are unreliable (due to using randomisation) or too computationally costly (due to using exhaustive search). This project will develop new robust algorithms to mitigate these shortcomings. It will do so by investigating two new paradigms of kernelisation and polyhedral search, which offer unprecedented theoretical insights into the problem. The outcomes will contribute towards computer vision applications that are more practical and reliable.Read moreRead less
Regulation of autophagy dependent cell and tissue deletion. This project aims to elucidate novel mechanisms that regulate autophagy-depdendent cell death during animal development. It will combine the power of Drosophila genetics with multidisciplinary approaches, such as proteomics, bioinformatics and cell biology. Given the conserved nature of autophagy the oucomes will provide highly topical and exciting new knowledge of broad biological significance. The project will help establishing inter ....Regulation of autophagy dependent cell and tissue deletion. This project aims to elucidate novel mechanisms that regulate autophagy-depdendent cell death during animal development. It will combine the power of Drosophila genetics with multidisciplinary approaches, such as proteomics, bioinformatics and cell biology. Given the conserved nature of autophagy the oucomes will provide highly topical and exciting new knowledge of broad biological significance. The project will help establishing international collaborations, enhancing Australia’s competitiveness and reputation in an important area of research, and provide training of HDR students in skills across a range of areas. In the long-term the research findings may translate into improved agriculture, food production and human health outcomes.Read moreRead less