Discovery Early Career Researcher Award - Grant ID: DE170101081
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Adaptive value-flow analysis to improve code reliability and security. This project aims to develop client-driven adaptive value-flow analysis to detect software bugs in system software written in the C/C++ programme language. Static analysis tools for automated code inspections can benefit software developers, but are imprecise, inefficient and not user-friendly for analysing real-world industrial-sized software. The project will investigate static, dynamic and user-guided value-flow analysis t ....Adaptive value-flow analysis to improve code reliability and security. This project aims to develop client-driven adaptive value-flow analysis to detect software bugs in system software written in the C/C++ programme language. Static analysis tools for automated code inspections can benefit software developers, but are imprecise, inefficient and not user-friendly for analysing real-world industrial-sized software. The project will investigate static, dynamic and user-guided value-flow analysis to efficiently and precisely analyse large-scale programs according to clients’ needs, thereby allowing compilers to generate safe, reliable and secure code. This project is expected to advance value-flow analysis for industrial-sized software, improve software reliability and security, and benefit Australian software systems and industries.Read moreRead less
ARC Research Network for a Secure Australia. The Research Network for a Secure Australia (RNSA) is a multi-disciplinary collaboration established to strengthen Australia's research capacity for protecting critical infrastructure from natural or human-caused disasters including terrorist acts. The RNSA will facilitate a knowledge-sharing network for research organisations, government and the private sector to develop research tools and methods to mitigate emerging safety and security issues relat ....ARC Research Network for a Secure Australia. The Research Network for a Secure Australia (RNSA) is a multi-disciplinary collaboration established to strengthen Australia's research capacity for protecting critical infrastructure from natural or human-caused disasters including terrorist acts. The RNSA will facilitate a knowledge-sharing network for research organisations, government and the private sector to develop research tools and methods to mitigate emerging safety and security issues relating to critical infrastructure. World-leaders with extensive national and international linkages in relevant scientific, engineering and technological research will lead this collaboration. The RNSA will launch various activities to foster research collaboration and nurture young investigators.Read moreRead less
Space-based space surveillance with robust computer vision algorithms. Space-based space surveillance with robust computer vision algorithms. This project aims to develop computer vision algorithms to detect man-made objects in space. These algorithms function on nanosatellite platforms, enabling space-based space surveillance. This technology is expected to provide always-on monitoring of the Earth's orbit to enhance existing defence infrastructure and protect vital space assets, including comm ....Space-based space surveillance with robust computer vision algorithms. Space-based space surveillance with robust computer vision algorithms. This project aims to develop computer vision algorithms to detect man-made objects in space. These algorithms function on nanosatellite platforms, enabling space-based space surveillance. This technology is expected to provide always-on monitoring of the Earth's orbit to enhance existing defence infrastructure and protect vital space assets, including communications and navigational satellites, in Earth’s orbit from collisions and covert sabotage. Increased space use by government and civilian agencies opens up opportunities for the space industry. This project is expected to develop Australia’s space surveillance capabilities, protect space assets and capture a growing market.Read moreRead less
Novel gas-liquid columns for liquefied natural gas (LNG) production. Novel gas-liquid columns for liquefied natural gas (LNG) production. This project aims to design distillation and absorption columns, perhaps the most important unit operations in a liquefied natural gas (LNG) plant, and whose optimization is integral to overall performance of any LNG plant. This project will use 3D printers to rapidly prototype concepts of columns and their internals, and test them using flow characterization ....Novel gas-liquid columns for liquefied natural gas (LNG) production. Novel gas-liquid columns for liquefied natural gas (LNG) production. This project aims to design distillation and absorption columns, perhaps the most important unit operations in a liquefied natural gas (LNG) plant, and whose optimization is integral to overall performance of any LNG plant. This project will use 3D printers to rapidly prototype concepts of columns and their internals, and test them using flow characterization tools and numerical models. The final outcome of the project will be a set of designs of the columns, which should be more efficient, safer and cheaper to operate, and have smaller physical and environmental footprints, thus helping the Australian LNG industry to stay globally competitive.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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0560716
Funder
Australian Research Council
Funding Amount
$864,610.00
Summary
A National T-ray Facility. T-rays are between microwaves and infrared on the electromagnetic spectrum. Recently, advances in femtosecond lasers enabled access to T-ray frequencies, producing an important new imaging modality for non-invasive sensing of materials and structures. Internationally, T-rays represent a rich new science leading to advanced forms of biophotonics, biomedical imaging and spectroscopy. Non-invasive T-ray diagnostics of nano- and bio-materials are being hotly pursued. The o ....A National T-ray Facility. T-rays are between microwaves and infrared on the electromagnetic spectrum. Recently, advances in femtosecond lasers enabled access to T-ray frequencies, producing an important new imaging modality for non-invasive sensing of materials and structures. Internationally, T-rays represent a rich new science leading to advanced forms of biophotonics, biomedical imaging and spectroscopy. Non-invasive T-ray diagnostics of nano- and bio-materials are being hotly pursued. The outcome will be a strategically important Australian T-ray facility that will provide immediate and transparent nationwide access. Historically, industry is transformed every time a new part of the electromagnetic spectrum becomes accessible - T-rays are the next frontier.Read moreRead less
Special Research Initiatives - Grant ID: SR0354778
Funder
Australian Research Council
Funding Amount
$30,000.00
Summary
Deep Earth Resource Characterisation and Extraction - An Integrated Geoscience Approach. Sustainability, economy and safety in resource recovery require a high level of understanding of the mechanics of geomaterials in their natural conditions and a multidisciplinary approach to the geotechnical issues involved. This initiative aims to bridge gaps between geotechnical disciplines, to combine the testing, analytical skills and experience of the research groups and to incorporate expertise and ide ....Deep Earth Resource Characterisation and Extraction - An Integrated Geoscience Approach. Sustainability, economy and safety in resource recovery require a high level of understanding of the mechanics of geomaterials in their natural conditions and a multidisciplinary approach to the geotechnical issues involved. This initiative aims to bridge gaps between geotechnical disciplines, to combine the testing, analytical skills and experience of the research groups and to incorporate expertise and ideas from the cognate disciplines of geology and geophysics so that innovative engineering practice will develop. This approach should achieve breakthroughs in understanding the behaviour of, and the safe economic extraction from deep resources including minerals, coal, gas drainage, petroleum and geothermal energy.Read moreRead less
ARC Centre for Solar Energy Systems. The National Centre of Excellence for Solar Energy Systems will be an international leader in research, commercialisation and education in the area of solar energy conversion. Research will be conducted into solar cell and solar thermal technologies, including thin crystalline and amorphous silicon solar cells that use far less silicon than conventional cells; systems that concentrate sunlight by 50-500 times; and very efficient solar cells for use in concent ....ARC Centre for Solar Energy Systems. The National Centre of Excellence for Solar Energy Systems will be an international leader in research, commercialisation and education in the area of solar energy conversion. Research will be conducted into solar cell and solar thermal technologies, including thin crystalline and amorphous silicon solar cells that use far less silicon than conventional cells; systems that concentrate sunlight by 50-500 times; and very efficient solar cells for use in concentrator systems. Expected outcomes include long-term research, commercial research, publications, education, community outreach and commercialisation of solar energy technologies to benefit Australia's economy and environment.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0453803
Funder
Australian Research Council
Funding Amount
$535,452.00
Summary
High Performance Optical and Electronic Coatings Facility. The main aim of this project is to establish a state-of-the-art optical and electronic coatings facility for the Australian optoelectronics and nanotechnology research community to develop novel technologies of interest to communications, information technology and nanotechnology industries. The facility will allow the fabrication of a range of active and passive devices including photonic integrated circuits. The facility is f ....High Performance Optical and Electronic Coatings Facility. The main aim of this project is to establish a state-of-the-art optical and electronic coatings facility for the Australian optoelectronics and nanotechnology research community to develop novel technologies of interest to communications, information technology and nanotechnology industries. The facility will allow the fabrication of a range of active and passive devices including photonic integrated circuits. The facility is flexible enough to allow the deposition of a range of dielectric and metal layers with different structural, optical and electrical characteristics of fundamental as well as applied interest. This facility may open up new opportunities to develop microcavities, nanocrystals, tunable lasers and detectors, novel cantilevers for atomic force microscopy.
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Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100133
Funder
Australian Research Council
Funding Amount
$400,000.00
Summary
National Facility for Physical Blast Simulation (NFPBS). Recent terrorist attacks employing large quantities of high explosives have prompted the international demand for experimental investigation of civil infrastructure response to shock wave loadings. The National Facility for Physical Blast Simulation (NFPBS) is one of only a few in the world that are suitable for conducting experimental research via a physically generated blast approach.