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
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
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
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
Molecular and immunological approaches to managing Australia's seafood allergy epidemic. Seafood is an increasingly important cause of food allergy. Novel insight into the functions of why and how proteins from seafood develop to potent allergens will lead to the development of better diagnostics and therapeutics. This will assist patients to better manage their serious food allergy.
Algorithms and data structures to support automated analysis of trajectory data. The emergence of a variety of tracking devices, surveillance systems and even electronic transaction and phone networks has resulted in the production of large amounts of positional information for vehicles, people and animals. The aim of the project is to develop tools that support automated analysis of such data sets.