Catchment water balance and CO2 fluxes: a comparison between productive land uses. The aim of the project is to improve the understanding of different land use implications on water resource and land productivity. The project aims to use a paired-catchment study that compares the carbon and water balances in two catchments in the high rainfall zone in south western Victoria. One catchment is used prevalently for grazing, while the other is predominantly planted with blue gums. The main objective ....Catchment water balance and CO2 fluxes: a comparison between productive land uses. The aim of the project is to improve the understanding of different land use implications on water resource and land productivity. The project aims to use a paired-catchment study that compares the carbon and water balances in two catchments in the high rainfall zone in south western Victoria. One catchment is used prevalently for grazing, while the other is predominantly planted with blue gums. The main objectives of this project are: to quantify the effect of different agricultural land uses on the catchment water balance; to estimate the trade-off between carbon sequestration and water resources related to tree plantations and pastures; and to develop models at different spatial scales of catchment water balance for land-use management.Read moreRead less
Utilising novel Pongamia trees to decarbonise Australia’s beef value-chain. Progress towards a carbon neutral beef industry typically focusses on nutritional strategies, overlooking potential innovations in farming system configuration. This project aims to develop a framework for the integration of Pongamia into beef production systems, so that not only emissions reductions are maximised, but also to support carbon capture and farm system resilience. This project seeks to determine the impact o ....Utilising novel Pongamia trees to decarbonise Australia’s beef value-chain. Progress towards a carbon neutral beef industry typically focusses on nutritional strategies, overlooking potential innovations in farming system configuration. This project aims to develop a framework for the integration of Pongamia into beef production systems, so that not only emissions reductions are maximised, but also to support carbon capture and farm system resilience. This project seeks to determine the impact of Pongamia meal on cattle production efficiency, meat quality and methane emissions. Through quantification of carbon sequestration potential in tree plantations, whole-farm modelling will elucidate production scenarios capable of achieving the reductions needed for a carbon neutral Australian beef industry.Read moreRead less
Preventing Exfiltration of Sensitive Data by Malicious Insiders or Malwares. Data exfiltration is a serious threat as highlighted in recent leakage of sensitive data that resulted in huge economic losses as well as unprecedented breaches of national security. The aim of this project is to develop a comprehensive and robust solution for detection and prevention of sensitive data exfiltration attempts by malware and unauthorised human users. Expected outcomes include scalable monitoring methods an ....Preventing Exfiltration of Sensitive Data by Malicious Insiders or Malwares. Data exfiltration is a serious threat as highlighted in recent leakage of sensitive data that resulted in huge economic losses as well as unprecedented breaches of national security. The aim of this project is to develop a comprehensive and robust solution for detection and prevention of sensitive data exfiltration attempts by malware and unauthorised human users. Expected outcomes include scalable monitoring methods and efficient algorithms that will be able to prevent real-time exfiltration and identify previously undetected exfiltration of sensitive data. This should provide significant benefits to governments, defence networks as well as businesses and health sectors, as it will protect them from sophisticated cyber attacks.
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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.
Blind separation of mutually correlated sources. This project is aimed at developing novel techniques for blind separation of mutually correlated sources. The expected outcomes will significantly advance the theory of blind source separation and improve the performance of important practical systems, such as densely deployed sensor networks and wireless video surveillance systems.
Discovery Early Career Researcher Award - Grant ID: DE120103011
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Plant adaptation to extreme environments: a transcriptomic approach for crop improvement. Native Australian plants have evolved to thrive under multiple environmental stresses such as drought, salinity, and severely nutrient impoverished soils that define the Australian biomes. This project will reveal genetic components consistently found in such species, literally opening a new gateway to greener pastures for Australian agriculture.
Evidence-based Recommendations For Interpregnancy Intervals In High-income Countries
Funder
National Health and Medical Research Council
Funding Amount
$423,305.00
Summary
This study will identify the optimal and harmful interpregnancy intervals for a range of maternal and child outcomes in three high-income countries. With a study population of more than 7.5 million births and a longitudinal study design that matches pregnancies to the same women, this study will inform new interpregnancy interval recommendations for high-income countries that will lead to a reduction in avoidable excess morbidities attributable to uninformed pregnancy planning.
Temporal Trends In The Incidence, Site And Survival Of Metastatic Breast Cancer In Australia
Funder
National Health and Medical Research Council
Funding Amount
$190,494.00
Summary
There have been major advances in breast cancer treatment over the last decade. This project will use information collected from the NSW cancer registry and hospitals to report on changes in the type and risk of breast cancer spread and survival for women with a new diagnosis of breast cancer before and after new treatments introduced since 2005. This information is essential for doctors to provide women with up-to-date information; and for planning appropriate health services and research.
Secure Management of Internet of Things Data for Critical Surveillance. This project aims to develop innovative models/algorithms to manage Internet of Things (IoT) data safely and reliably. This project expects to generate new knowledge in the area of classified information governance using innovative data collection, transmission and analysis techniques that overcome the security concerns in large-scale collaborative sensing. Expected outcomes include novel abstract interfaces for IoT, adaptiv ....Secure Management of Internet of Things Data for Critical Surveillance. This project aims to develop innovative models/algorithms to manage Internet of Things (IoT) data safely and reliably. This project expects to generate new knowledge in the area of classified information governance using innovative data collection, transmission and analysis techniques that overcome the security concerns in large-scale collaborative sensing. Expected outcomes include novel abstract interfaces for IoT, adaptive trust and integrity preserving methods, and reliable distributed data processing mechanisms to mitigate vulnerabilities in real-time IoT-enabled critical surveillance. This should provide significant benefits to Australia's economy, one of which is the enhanced consumer-centric adoption of IoT for sensitive operations.Read moreRead less
Personalised Privacy-Preserving Network Data Publishing System . Data sharing has become a driving force for many businesses in industrial sectors. This project aims to develop a privacy preserving network data publishing system that can preserve user privacy in a personalised way while maintaining maximal utility of the published data. To make accurate privacy preservation, this project will design novel learning models to derive accurate users’ correlation and their privacy intention, develop ....Personalised Privacy-Preserving Network Data Publishing System . Data sharing has become a driving force for many businesses in industrial sectors. This project aims to develop a privacy preserving network data publishing system that can preserve user privacy in a personalised way while maintaining maximal utility of the published data. To make accurate privacy preservation, this project will design novel learning models to derive accurate users’ correlation and their privacy intention, develop efficient privacy preserving algorithms to deal with static and dynamic network data sharing. The success of this project will benefit many industries and government agencies to reduce users’ privacy breaches, avoid illegal consequences of sharing data, and enhance these service providers’ service quality.Read moreRead less