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
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: LE0989226
Funder
Australian Research Council
Funding Amount
$340,000.00
Summary
Multi-photon imaging for infection, immunity, and self recognition. This proposal will address a gap in our imaging capabilities, allowing us to visualise the movement of immune cells and infectious agents such as bacteria and viruses within living tissues. This will immensely improve our capacity to understand interactions between the immune system, invading organisms and the rest of our body. The intravital imaging system will provide novel insights into how the immune system works, which will ....Multi-photon imaging for infection, immunity, and self recognition. This proposal will address a gap in our imaging capabilities, allowing us to visualise the movement of immune cells and infectious agents such as bacteria and viruses within living tissues. This will immensely improve our capacity to understand interactions between the immune system, invading organisms and the rest of our body. The intravital imaging system will provide novel insights into how the immune system works, which will benefit the design of vaccines, the treatment of cancer, and our understanding of allergy. This state-of-the-art facility will also provide vital training in an emerging technology that will have application in many areas of biology.
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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
Investigation of the fundamental roles of class Ib MHC (major histocompatibility complex) molecules in immunity. The proposed research program, using laboratory-based and synchrotron-based radiation, will provide insight into the roles of a poorly understood class of immune molecules. This will improve our understanding of the regulation of immunity, and the knowledge gained will increase Australia's international research profile.
A Regional Perspective on Work & Family Balance and Changes in Employment Regulation. Work/family balance is a focus of significant attention at the community, national and international level. This project will generate new knowledge about the ways in which employment regulation directly and indirectly impacts on employee work/family balance outcomes within different regional and industry contexts. A growing body of research recognises the linkages between employment regulation and effects on c ....A Regional Perspective on Work & Family Balance and Changes in Employment Regulation. Work/family balance is a focus of significant attention at the community, national and international level. This project will generate new knowledge about the ways in which employment regulation directly and indirectly impacts on employee work/family balance outcomes within different regional and industry contexts. A growing body of research recognises the linkages between employment regulation and effects on child and parent well-being and health, labour force supply and economic outcomes. However, little is known about how geographical location shapes work/family balance. The research will thus contribute to improved understandings and to better social policy at the local, state and federal levels.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0775673
Funder
Australian Research Council
Funding Amount
$1,200,000.00
Summary
A high throughput protein crystallization & imaging facility. Protein crystallography is an important field of research that enables us to understand the precise shape of proteins. The precise shape of a protein determines the function of a protein. This information is essential in understanding the physiological role of a protein and may be used for the development of therapeutics, where approrpiate. We aim to develop a high-throughput robotics system that will enable us to determine the sh ....A high throughput protein crystallization & imaging facility. Protein crystallography is an important field of research that enables us to understand the precise shape of proteins. The precise shape of a protein determines the function of a protein. This information is essential in understanding the physiological role of a protein and may be used for the development of therapeutics, where approrpiate. We aim to develop a high-throughput robotics system that will enable us to determine the shape of many proteins more rapidly, thereby greatly accelerating the pace of biomedical research.Read moreRead less
Improved image analysis: maximised statistical use of geometry/shape constraints. This project will improve image analysis to apply such applications as 3D street-scape reconstruction, synthetic inserts into video for special effects, autonomous navigation, and scene understanding. It will do so by maximally exploiting the geometry of planar surfaces (e.g. walls) and straight lines and other simple geometric shapes.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE180100158
Funder
Australian Research Council
Funding Amount
$348,026.00
Summary
A large-scale distributed experimental facility for the internet of things. This project aims to establish a large-scale, real-world experimental facility for the Internet of Things (IoT), which is currently missing in Australia, as well as in the rest of the world. The project is expected to be an essential instrument to achieve Australia’s leadership on key enabling technologies of the IoT, and to provide Australian research community with a unique platform for large-scale experimentation and ....A large-scale distributed experimental facility for the internet of things. This project aims to establish a large-scale, real-world experimental facility for the Internet of Things (IoT), which is currently missing in Australia, as well as in the rest of the world. The project is expected to be an essential instrument to achieve Australia’s leadership on key enabling technologies of the IoT, and to provide Australian research community with a unique platform for large-scale experimentation and evaluation of IoT technologies and services. The project will also serve as a vehicle for the education and training of Australia’s next generation of scholars and engineers, and contribute to Australia’s scientific visibility.Read moreRead less