Exploring the immunomodulatory potential of Natural Killer T cells. Natural Killer T cells (NKT cells) are an innate-like population of T cells that recognise a range of lipid based antigens when bound to the antigen-presenting molecule, CD1d. Once activated, NKT cells rapidly secrete a variety of cytokines. This project, in partnership with Vaxine Pty Ltd, aims to gain a basic understanding of NKT recognition of lipids and NKT cell activation by lipids. The project aims to use a combination of ....Exploring the immunomodulatory potential of Natural Killer T cells. Natural Killer T cells (NKT cells) are an innate-like population of T cells that recognise a range of lipid based antigens when bound to the antigen-presenting molecule, CD1d. Once activated, NKT cells rapidly secrete a variety of cytokines. This project, in partnership with Vaxine Pty Ltd, aims to gain a basic understanding of NKT recognition of lipids and NKT cell activation by lipids. The project aims to use a combination of cellular immunology and structural biology to gain insight into NKT cell agonism.Read moreRead less
ARC Communications Research Network. Building on a strong platform of existing research excellence, the Aim of the Network is to facilitate nation-wide collaborative research, promoting four intersecting research Themes: Mobile and Wireless Communications, Rural Communications, Broadband and Optical Networks, and Fundamentals of Emerging Media. Each Theme is formulated to drive multidisciplinary, innovative research as well as inspire new collaborative initiatives. Four Programs encapsulate the ....ARC Communications Research Network. Building on a strong platform of existing research excellence, the Aim of the Network is to facilitate nation-wide collaborative research, promoting four intersecting research Themes: Mobile and Wireless Communications, Rural Communications, Broadband and Optical Networks, and Fundamentals of Emerging Media. Each Theme is formulated to drive multidisciplinary, innovative research as well as inspire new collaborative initiatives. Four Programs encapsulate the core activities of the Network: Researcher Mobility, Workshops and Conferences, Postgraduate Education, and Knowledge Management Systems. The Network is expected to add significant value to pre-existing investments and raise the profile of Australian telecommunications research.Read moreRead less
Legal and social dynamics of eBook lending in Australia’s public libraries. Legal and social dynamics of eBook lending in Australia’s public libraries. This project aims to develop an evidence base of quantitative and qualitative data about how eBooks are used in libraries. EBooks have tremendous beneficial potential, particularly for Australians in remote areas and those with impaired mobility or vision. However, libraries’ rights to acquire and lend them are more restricted than for physical b ....Legal and social dynamics of eBook lending in Australia’s public libraries. Legal and social dynamics of eBook lending in Australia’s public libraries. This project aims to develop an evidence base of quantitative and qualitative data about how eBooks are used in libraries. EBooks have tremendous beneficial potential, particularly for Australians in remote areas and those with impaired mobility or vision. However, libraries’ rights to acquire and lend them are more restricted than for physical books. Libraries and legal, social and data science researchers will investigate eBook lending practices and understand their social impacts. The project will identify ways of reforming policy, law, and practice to help libraries fulfil their public interest missions. This project is expected to enable libraries to extract more value from existing public investments.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100156
Funder
Australian Research Council
Funding Amount
$210,000.00
Summary
Computational infrastructure for machine learning in computer vision. The many trillions of images stored on computers around the world, including more than 100 billion on Facebook alone, represent exactly the information needed to develop artificial vision. All we need do is extract it. This project will develop the computational infrastructure required to allow Australian researchers to achieve this goal.
Statistical Methods of Model Fitting and Segmentation in Computer Vision. Electronic sensors such as cameras and lasers can provide a rich source of information about the position, shape, and motion of objects around us. However, to extract this information in a reliable, automatic, and accurate way requires a sophisticated statistical theory of the process. Example applications include: video surveillance (better automatic detection of moving people and vehicles and of characterising what those ....Statistical Methods of Model Fitting and Segmentation in Computer Vision. Electronic sensors such as cameras and lasers can provide a rich source of information about the position, shape, and motion of objects around us. However, to extract this information in a reliable, automatic, and accurate way requires a sophisticated statistical theory of the process. Example applications include: video surveillance (better automatic detection of moving people and vehicles and of characterising what those people and vehicles are doing), industrial prototyping and inspection (measuring the size and shape of objects), urban planning (laser scanning streetscapes to create computer models of cities), entertainment industry (movie special effects and games), etc. Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object ....Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics. Read moreRead less
Switching Dynamics Approach for Distributed Global Optimisation . This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in industrial big-data environments where timely decision making is required. It will result in a practical technology for industry optimisation problems such as economic energy dispatch in smart g ....Switching Dynamics Approach for Distributed Global Optimisation . This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in industrial big-data environments where timely decision making is required. It will result in a practical technology for industry optimisation problems such as economic energy dispatch in smart grids and optimal charging and discharging tasks in a large network of electric vehicles, helping Australian power industry improve efficiency and security, as well as training the next generation scientists and engineers for Australia in this emerging field.Read moreRead less
Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proa ....Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proactive sewer management including network-wide real-time control. The project aims to generate significant social, environmental and economic benefits by enabling utilities to better protect public and environmental health, reduce sewer odour and greenhouse gas emissions, and extend sewer asset life.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