Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100116
Funder
Australian Research Council
Funding Amount
$400,000.00
Summary
100 Gbit to 1 Terabit per second optical communication test bed facility. This facility will develop and demonstrate novel optical technologies that will underpin the generation and transmission of a higher-speed Ethernet at 100 Gb/s to 1Terabit/s, and will lead to better broadband and more energy efficient internet. At the foundation of this research will be a test bed with multiple signal sources at data rates above 50 Gbaud.
Discovery Early Career Researcher Award - Grant ID: DE120101266
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Low-complexity factor-graph-based receiver design for bandwidth-efficient communication systems over doubly selective channels. This project aims to solve challenging problems in future wireless communications using graph-based signal processing techniques. It will provide practical solutions for future broadband mobile communications to the bush and high-speed underwater acoustic communications in the oceans that are particularly important to Australia.
Bridge performance assessment through advanced sensing and modelling. Bridge performance assessment through advanced sensing and modelling. This project aims to create cyber infrastructure to manage and maintain civil infrastructure, specifically bridges. Current sensor data interpretation approaches are not good at assessing the performance of civil infrastructure or evaluating the reserve capacity; in particular, they do not adequately account for high levels of systematic modelling uncertaint ....Bridge performance assessment through advanced sensing and modelling. Bridge performance assessment through advanced sensing and modelling. This project aims to create cyber infrastructure to manage and maintain civil infrastructure, specifically bridges. Current sensor data interpretation approaches are not good at assessing the performance of civil infrastructure or evaluating the reserve capacity; in particular, they do not adequately account for high levels of systematic modelling uncertainties. This project intends to ease the current scientific data interpretation bottleneck. Expected outcomes are better infrastructure management and maintenance planning, fewer redundant interventions, modified infrastructure and improved future design.Read moreRead less
ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this te ....ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this team with the foremost international authorities and leading industry players in the area of sensor networks. This research network will guide collaborative research that will ensure Australia to play a world leading role in sensor network development and implementation.
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Fine-grained Human Action Recognition with Deep Graph Neural Networks. This project aims to develop novel graph neural network based deep learning algorithms for fine-grained human action recognition. This project expects to bring human action analysis to the next level and to significantly advance the analysis of subtle yet complex human actions. Expected outcomes of this project include theoretical advances on graph representation based deep learning algorithms for spatial-temporal data, and e ....Fine-grained Human Action Recognition with Deep Graph Neural Networks. This project aims to develop novel graph neural network based deep learning algorithms for fine-grained human action recognition. This project expects to bring human action analysis to the next level and to significantly advance the analysis of subtle yet complex human actions. Expected outcomes of this project include theoretical advances on graph representation based deep learning algorithms for spatial-temporal data, and enabling techniques for more objective human action analysis in many domains such as sports and health. This should provide significant benefits to any application domain involving big and complex spatial-temporal data for finer analytics and better knowledge discovery.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100028
Funder
Australian Research Council
Funding Amount
$300,000.00
Summary
A national facility for in situ testing of soft soils. A mobile in situ testing laboratory will permit the investigation of devices for measuring geotechnical conditions on soft and swampy sites which are often being encountered on key infrastructure projects. The new facility will improve the modelling and testing of soft soils and ensure the safe and economic development of Australian infrastructure.
Performance of granular matrix under heavy haul cyclic loading. Performance of granular matrix under heavy haul cyclic loading. This project aims to enhance the longevity of roads and tracks based on improved geotechnical design. The demand for safe and durable roads and railways to accommodate faster and heavier traffic has increased steadily in the past decade. This project will research the performance of compacted granular waste (coalwash & flyash) under cyclic loads, particularly relevant t ....Performance of granular matrix under heavy haul cyclic loading. Performance of granular matrix under heavy haul cyclic loading. This project aims to enhance the longevity of roads and tracks based on improved geotechnical design. The demand for safe and durable roads and railways to accommodate faster and heavier traffic has increased steadily in the past decade. This project will research the performance of compacted granular waste (coalwash & flyash) under cyclic loads, particularly relevant to heavy haul industry, from a geomechanics perspective. It will use geotechnical laboratory testing and field monitoring to develop a computational model, incorporating the relevant strength and deformation properties at varied load frequencies. The anticipated outcome is sustainable, more resilient transport infrastructure.Read moreRead less
ARC Centre of Excellence for Geotechnical Science and Engineering. To pioneer new scientific approaches for geotechnical design of Australia's energy and transport infrastructure. Australia will spend over $250 billion during the next five years on the provision of physical infrastructure for energy and transport, which is the critical importance to the nation's future prosperity. The Centre for Geotechnical Science and Engineering will develop new computational and experimental approaches to un ....ARC Centre of Excellence for Geotechnical Science and Engineering. To pioneer new scientific approaches for geotechnical design of Australia's energy and transport infrastructure. Australia will spend over $250 billion during the next five years on the provision of physical infrastructure for energy and transport, which is the critical importance to the nation's future prosperity. The Centre for Geotechnical Science and Engineering will develop new computational and experimental approaches to underpin the geotechnical design of this infrastructure and provide a national focus for geotechnical research. New scientific approaches and software for designing cheaper and safer infrastructure in the energy and transport sectors.Read moreRead less
Containment and Reduction of Rework in Transport Mega Projects. Mega transport projects (>$1 billion) are poorly managed during their construction with significant cost and schedule overruns and benefit shortfalls regularly being experienced. Having to perform rework has been identified as a major factor that contributes to these unintended consequences. As there has been limited research that has empirically examined rework causation, an inability to develop effective rework containment and red ....Containment and Reduction of Rework in Transport Mega Projects. Mega transport projects (>$1 billion) are poorly managed during their construction with significant cost and schedule overruns and benefit shortfalls regularly being experienced. Having to perform rework has been identified as a major factor that contributes to these unintended consequences. As there has been limited research that has empirically examined rework causation, an inability to develop effective rework containment and reduction strategies prevails. This research aims to develop a theoretical model that can be used to develop robust containment and reduction strategies to mitigate the adverse economic, productivity and safety consequences that materialize from performing rework during the construction of mega transport projects.Read moreRead less
Energy big data analytics from a cybersecurity perspective. This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coord ....Energy big data analytics from a cybersecurity perspective. This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coordinated cyber-attacks that will potentially lead to catastrophic cascaded failures; and develop new solutions in detecting the false data-injection attacks that are conventionally considered as unobservable. This project will provide the benefit of enhancing our national critical infrastructure's security.Read moreRead less