AI-driven Effective Query Formulation for Better Systematic Reviews. This project aims to develop novel AI-based search engine methods to make the creation of systematic reviews cheaper, faster and unbiased. Systematic reviews are the cornerstone for evidence-based decisions in clinical practice and government policy making. Given the pace new research is published at, it is unsustainable to manually conduct systematic reviews in the traditional manner, taking on average 2 years and $350K and be ....AI-driven Effective Query Formulation for Better Systematic Reviews. This project aims to develop novel AI-based search engine methods to make the creation of systematic reviews cheaper, faster and unbiased. Systematic reviews are the cornerstone for evidence-based decisions in clinical practice and government policy making. Given the pace new research is published at, it is unsustainable to manually conduct systematic reviews in the traditional manner, taking on average 2 years and $350K and becoming already outdated when published. The outcomes of this project will lead to systematic reviews of higher quality, while reducing their financial and temporal costs, providing significant benefits to organisations performing reviews and their funders, and to people impacted by decisions made from the reviews.Read moreRead less
Robust Preference Inference from Spatial-Temporal Interaction Networks. This project aims to develop innovative techniques for effectively and efficiently managing user preference profiles from less labelled, sparse and noisy interaction data. A unified novel learning framework along with a set of data analysis techniques are expected to be developed from this project, which will provide a non-intrusive way of conducting predictive analysis on user preference profiling via discovering human expl ....Robust Preference Inference from Spatial-Temporal Interaction Networks. This project aims to develop innovative techniques for effectively and efficiently managing user preference profiles from less labelled, sparse and noisy interaction data. A unified novel learning framework along with a set of data analysis techniques are expected to be developed from this project, which will provide a non-intrusive way of conducting predictive analysis on user preference profiling via discovering human explicit and implicit interest domains. The expected results of this application will not only maintain Australia's leadership in this frontier research area, but also support many important applications that safeguard Australian people and economy such as cyber security, healthcare, and e-Commerce.Read moreRead less
Intelligent Image Retrieval from Distorted and Partial Queries for Rapid Mobile Identification of Pests Threatening Food and the Environment. Pests and diseases are major threats to the Australian food industry and environmental biosecurity. A rapid and mobile pest information retrieval system is critical to prevent a pest becoming established and devastating the region. However, automated insect image retrieval remains an unsolved challenge in the research community. This project addresses the ....Intelligent Image Retrieval from Distorted and Partial Queries for Rapid Mobile Identification of Pests Threatening Food and the Environment. Pests and diseases are major threats to the Australian food industry and environmental biosecurity. A rapid and mobile pest information retrieval system is critical to prevent a pest becoming established and devastating the region. However, automated insect image retrieval remains an unsolved challenge in the research community. This project addresses the fundamental problem of distorted and partial image query in cluttered background in order to achieve pest identification at a much earlier on-site stage. The success of this research will not only make a technical breakthrough towards retrieving objects with movable body parts, but also revolutionise the current pest detection and monitoring process.Read moreRead less
Mathematical models of diseases with complex transmission routes. This project aims to model diseases that spread via a mixture of routes including food, water, the environment, and direct spread between individuals. Key diseases include: avian influenza, which causes massive disruption to the poultry industry; gastroenteritis, which costs Australia $1,250 million each year; and leptospirosis, which causes one million severe illnesses each year globally. This project will develop mathematical a ....Mathematical models of diseases with complex transmission routes. This project aims to model diseases that spread via a mixture of routes including food, water, the environment, and direct spread between individuals. Key diseases include: avian influenza, which causes massive disruption to the poultry industry; gastroenteritis, which costs Australia $1,250 million each year; and leptospirosis, which causes one million severe illnesses each year globally. This project will develop mathematical and statistical tools to better estimate risk, analyse outbreak data, and provide guidance for disease control. This research will improve policy and enhance our ability to respond to disease outbreaks.Read moreRead less
Characterisation of a novel disease immunity pathway in plants. This project aims to understand the mechanisms by which the novel signalling molecule, CAPE1, contributes to
plant immunity. Studies to date have confirmed that CAPE1 inhibits plant diseases but it is unknown how. This
project aims to provide a seminal advance to the field by elucidating how the peptide is generated, how it is
perceived by the plant and the processes by which peptide contributes to plant defence. The expected outcom ....Characterisation of a novel disease immunity pathway in plants. This project aims to understand the mechanisms by which the novel signalling molecule, CAPE1, contributes to
plant immunity. Studies to date have confirmed that CAPE1 inhibits plant diseases but it is unknown how. This
project aims to provide a seminal advance to the field by elucidating how the peptide is generated, how it is
perceived by the plant and the processes by which peptide contributes to plant defence. The expected outcomes
of this project will include a detailed characterisation of a novel plant defence pathway as well the education and
training of next generation of plant scientists. Achieving these outcomes would provide the basis for new
innovative disease management strategies through the manipulation of this novel pathway.Read moreRead less
Indigenous Australians and alcohol control: The impact of hotel ownership on harm reduction and social and economic development. This project investigates Indigenous social enterprise that intersects with the alcohol industry. Findings will benefit the Indigenous governing bodies of licensed premises and their communities, health and liquor regulation authorities and the country as a whole. The research addresses policy uncertainty surrounding Indigenous ownership of licensed premises and whethe ....Indigenous Australians and alcohol control: The impact of hotel ownership on harm reduction and social and economic development. This project investigates Indigenous social enterprise that intersects with the alcohol industry. Findings will benefit the Indigenous governing bodies of licensed premises and their communities, health and liquor regulation authorities and the country as a whole. The research addresses policy uncertainty surrounding Indigenous ownership of licensed premises and whether this achieves anticipated economic and social goals and reduces alcohol-related problems. Harm minimisation is an object of liquor licensing acts in most jurisdictions in Australia. Indigenous-owned licensed premises are well-placed to implement responsible alcohol service and promote harm minimisation in keeping with Australian best practice.Read moreRead less
Molecular characterisation of the Prf bacterial recognition complex of tomato. This project will investigate the composition and function of a large protein complex in tomatoes that controls their ability to resist attack by bacteria. The results will provide understanding to how all plants resist all diseases, and may help to improve environmentally-benign disease resistance in crop species.