Towards equity in crash protection. Women are at increased relative risk for death and serious injury in motor vehicle crashes compared to men and the reasons for this are not clear. This Fellowship aims to build a new model that describes the mechanistic pathways for this inequity to identify where and how intervention could reduce this relative risk. This will establish what population groups have good and poor access to the best vehicle safety technologies, the differences, and what might cau ....Towards equity in crash protection. Women are at increased relative risk for death and serious injury in motor vehicle crashes compared to men and the reasons for this are not clear. This Fellowship aims to build a new model that describes the mechanistic pathways for this inequity to identify where and how intervention could reduce this relative risk. This will establish what population groups have good and poor access to the best vehicle safety technologies, the differences, and what might cause these differences in the benefits of vehicle safety technology between women and men. The outcomes will be of use to academics, policy makers and industry designing to new ways to protect women in crashes and close this gender gap.Read moreRead less
A new complex systems approach to road trauma: Applying systems thinking to the fatal five. By 2030 road trauma is expected to be the fifth leading cause of global deaths. The current road user centric road safety approach has failed to control the global health epidemic of road trauma. Although systems thinking is widely accepted to be the most effective approach for understanding and enhancing safety in complex systems, it has not yet been adopted in road safety efforts. This project aims to a ....A new complex systems approach to road trauma: Applying systems thinking to the fatal five. By 2030 road trauma is expected to be the fifth leading cause of global deaths. The current road user centric road safety approach has failed to control the global health epidemic of road trauma. Although systems thinking is widely accepted to be the most effective approach for understanding and enhancing safety in complex systems, it has not yet been adopted in road safety efforts. This project aims to apply a novel, integrated framework of systems analysis and design methods to the so called 'fatal five' causes of road trauma to create new knowledge on their causes and to develop and test new interventions that will enable the achievement of currently unreachable road safety targets.Read moreRead less
AUSLearn: AUtomated Sample Learning for Object Recognition. This project aims to enable computers to learn how to effectively use training samples for object recognition. Training sample is the only source used by computers to learn recognising objects. This project creates a new research direction that will enable the first full exploration of the power of samples. The aims will be enabled by leveraging the recent advances in reinforcement learning, fast training algorithms, and by developing n ....AUSLearn: AUtomated Sample Learning for Object Recognition. This project aims to enable computers to learn how to effectively use training samples for object recognition. Training sample is the only source used by computers to learn recognising objects. This project creates a new research direction that will enable the first full exploration of the power of samples. The aims will be enabled by leveraging the recent advances in reinforcement learning, fast training algorithms, and by developing novel deep learning algorithms. The new algorithms will benefit a wide range of applications, e.g. to effectively use car crash training samples for accurately identifying potential road crashes in transport and to effectively use rare medical imaging training data for robustly diagnosing diseases in health.Read moreRead less
Advancing cycling as an active transport mode using data driven approaches. This research program aims to provide the critical evidence that is needed to advance cycling as an active and sustainable mode of transport. Through interdisciplinary research and multi-national collaborations, the program will develop a world-leading data platform that will monitor, inform and evaluate cycling, and use this platform to provide the evidence that is needed to enhance cycling participation, safety and inf ....Advancing cycling as an active transport mode using data driven approaches. This research program aims to provide the critical evidence that is needed to advance cycling as an active and sustainable mode of transport. Through interdisciplinary research and multi-national collaborations, the program will develop a world-leading data platform that will monitor, inform and evaluate cycling, and use this platform to provide the evidence that is needed to enhance cycling participation, safety and infrastructure. The outcomes of the research will revolutionise our ability to implement safe and connected cycling infrastructure in areas of greatest need, leading to reduced injury, greater equity and wider uptake of cycling as a mode of transport, thereby leading to substantial gains in population and environmental health.Read moreRead less
Can the relational account of attention explain search in natural environments and inattentional blindness? This project aims to further extend the relational theory of attention to account for visual search and inattentional blindness in natural environments. In addition, the neuronal correlates for inattentional blindness will be investigated with the use of Functional Magnetic Resonance Imaging (fMRI). The research has fundamental implications for theories of visual attention and awareness, a ....Can the relational account of attention explain search in natural environments and inattentional blindness? This project aims to further extend the relational theory of attention to account for visual search and inattentional blindness in natural environments. In addition, the neuronal correlates for inattentional blindness will be investigated with the use of Functional Magnetic Resonance Imaging (fMRI). The research has fundamental implications for theories of visual attention and awareness, and will advance understandings of how and why we frequently fail to notice potentially important objects and events in the environment.Read moreRead less
Fundamental study of fracture-controlled compensation grouting for ground movement. This project aims to investigate the fundamentals of fracture-controlled compensation grouting in various types of soil, so as to optimise the compensation efficiency and to minimise the risk of collapse of nearby structures. This will result in the minimisation of ground movements induced by underground excavations, which pose a major threat to existing infrastructure and communities worldwide. Small-scale labor ....Fundamental study of fracture-controlled compensation grouting for ground movement. This project aims to investigate the fundamentals of fracture-controlled compensation grouting in various types of soil, so as to optimise the compensation efficiency and to minimise the risk of collapse of nearby structures. This will result in the minimisation of ground movements induced by underground excavations, which pose a major threat to existing infrastructure and communities worldwide. Small-scale laboratory experiments, centrifuge tests and numerical analyses will be conducted to develop an effective and economical grouting method that will provide a valuable design tool for engineers.Read moreRead less
Innovative Data Driven Techniques for Structural Condition Monitoring . Safe and sustainable infrastructure involves the development and application of structural monitoring and assessment techniques for condition evaluation. This project develops an innovative structure condition monitoring approach based on the emerging digital technologies on image processing, data analytics and machine learning techniques, for better infrastructure asset management under operational environment. Expected out ....Innovative Data Driven Techniques for Structural Condition Monitoring . Safe and sustainable infrastructure involves the development and application of structural monitoring and assessment techniques for condition evaluation. This project develops an innovative structure condition monitoring approach based on the emerging digital technologies on image processing, data analytics and machine learning techniques, for better infrastructure asset management under operational environment. Expected outcomes of this project enhance the capacity to conduct the operational monitoring and data interpretation to deliver the best life cycle performance of infrastructure. This project should provide significant benefits to Australia in infrastructure asset management by reducing the interruption of infrastructure operations.Read moreRead less
Differentiation not disintegration: Integrating strategies to improve Occupational Health and Safety in the construction industry. Almost ten percent of all injury and death claims in Australia are attributed to construction, creating a significant social and economic burden. Organisational, technological and cultural fragmentation of the supply chain impedes the integration of Occupational Health and Safety (OHS) into construction planning and design. The research will effect critical and susta ....Differentiation not disintegration: Integrating strategies to improve Occupational Health and Safety in the construction industry. Almost ten percent of all injury and death claims in Australia are attributed to construction, creating a significant social and economic burden. Organisational, technological and cultural fragmentation of the supply chain impedes the integration of Occupational Health and Safety (OHS) into construction planning and design. The research will effect critical and sustainable improvements in construction OHS, through: (i) the engagement of all industry participants in the OHS improvement effort; (ii) the identification of new technologies which can improve OHS; and (iii) the establishment of a unity of purpose regarding OHS among construction industry stakeholders, contributing significantly to a reduction in the social and economic costs of occupational death, injury and illness.Read moreRead less
Robust and Explainable 3D Computer Vision. Computer vision is increasingly relying on deep learning which is fragile, opaque and fails catastrophically without warning. This project aims to address these problems by developing new theory in graph representation of 3D geometric and image data, hierarchical graph simplification and novel modules designed specifically for deep learning over geometric graphs. Using these modules, it aims to design graph convolutional network architectures for self-s ....Robust and Explainable 3D Computer Vision. Computer vision is increasingly relying on deep learning which is fragile, opaque and fails catastrophically without warning. This project aims to address these problems by developing new theory in graph representation of 3D geometric and image data, hierarchical graph simplification and novel modules designed specifically for deep learning over geometric graphs. Using these modules, it aims to design graph convolutional network architectures for self-supervised learning that are robust to failures and provide explainable decisions for object detection and scene segmentation. The outcomes are expected to advance theory in robust deep learning and benefit 3D mapping, surveying, infrastructure monitoring, transport and robotics industries.Read moreRead less
Enabling low greenhouse gas emissions from road vehicles through the proper use of alternative fuels. A major increase in alternative transport fuel use appears necessary in our response to the challenges of climate change and energy security. This proposal will advance our fundamental understanding of key aspects of the combustion of particular alternative fuels, thus enabling proper engine design and so maximising greenhouse and energy security benefits. Further, the Australian automotive indu ....Enabling low greenhouse gas emissions from road vehicles through the proper use of alternative fuels. A major increase in alternative transport fuel use appears necessary in our response to the challenges of climate change and energy security. This proposal will advance our fundamental understanding of key aspects of the combustion of particular alternative fuels, thus enabling proper engine design and so maximising greenhouse and energy security benefits. Further, the Australian automotive industry is a major employer and exporter, and needs to develop and/or maintain international leadership in low emission technologies to ensure its long term viability. This proposal builds a consortium of local organisations with common interests, thus helping local industry respond to several, significant challenges that they presently face.Read moreRead less