Discovery Early Career Researcher Award - Grant ID: DE130100153
Funder
Australian Research Council
Funding Amount
$347,556.00
Summary
Radiogenic bronze and the Indianisation of Southeast Asia. Intense South/Southeast Asian maritime activity began circa 2500 years ago, but the societies involved and their motivation is unknown. Study of exchange networks in chemically distinctive bronzes related to early Buddhism and their likely production centre in eastern India will establish a sound economic basis underlying long-term cultural influence.
Nature's mechanisms for leaching and remobilising metals. This project aims to understand the chemical and physical processes that govern reactive transport and metal scavenging in rocky environments. Much of Australia's mineral wealth is the result of the interaction of warm fluids with rocks deep in the Earth over geological timescales. The formation of ore deposits is governed by the physical chemistry of mineral dissolution and crystallisation, and by fluid flow through porous rocks and frac ....Nature's mechanisms for leaching and remobilising metals. This project aims to understand the chemical and physical processes that govern reactive transport and metal scavenging in rocky environments. Much of Australia's mineral wealth is the result of the interaction of warm fluids with rocks deep in the Earth over geological timescales. The formation of ore deposits is governed by the physical chemistry of mineral dissolution and crystallisation, and by fluid flow through porous rocks and fractures. This project integrates innovation in geology, chemistry, and mineral engineering, and will deliver mineral-scale reaction models that will increase efficiency of in-situ mining and leaching technologies. Knowledge generated can be applied to improve mineral exploration, mining, and processing, contributing to unlocking billions of dollars’ worth of resources tied up in low grade, mineralogically complex ores.Read moreRead less
Cohort discovery and activity mining for policy impact prediction. Cohort discovery and activity mining for policy impact prediction. This project aims to develop an intelligent systematic framework to predict policy impacts on Australian patients, by discovering inherent patient cohorts and assessing the impact of the policies on these cohorts. The proposed methods lay the theoretical foundations for building intelligent automated tools for policy assessment. Expected outcomes are data-driven p ....Cohort discovery and activity mining for policy impact prediction. Cohort discovery and activity mining for policy impact prediction. This project aims to develop an intelligent systematic framework to predict policy impacts on Australian patients, by discovering inherent patient cohorts and assessing the impact of the policies on these cohorts. The proposed methods lay the theoretical foundations for building intelligent automated tools for policy assessment. Expected outcomes are data-driven patient group discovery, which could more precisely identify the patient cohorts most likely to benefit from a specific policy; and a model to predict the efficacy of policy options, which could increase the sustainability of the national health system by enabling smarter, more efficient policy decision-making.Read moreRead less
Biogeochemistry of ferruginous duricrusts. The project is focussed on the examination and application of microbial iron cycling in the formation of geologically stable, iron duricrusts in tropical regimes. The aim of the project is to develop a site-scale bioremediation strategy for iron ore mines by re-establishing canga, which are ‘ancient’ distinct ecosystems possessing unique plant species rarely found on Earth. This university-industry collaboration aims to produce economic benefits for the ....Biogeochemistry of ferruginous duricrusts. The project is focussed on the examination and application of microbial iron cycling in the formation of geologically stable, iron duricrusts in tropical regimes. The aim of the project is to develop a site-scale bioremediation strategy for iron ore mines by re-establishing canga, which are ‘ancient’ distinct ecosystems possessing unique plant species rarely found on Earth. This university-industry collaboration aims to produce economic benefits for the world’s iron mining industry through advanced training in mining-related research, and through the completion of the mining life cycle by site remediation, enhancing Australia’s position as a global leader in providing innovative solutions to today’s mining challenges.Read moreRead less
Linking soil acidification with carbon dynamics in Australian agroecosystems. The ability to mitigate climate change by sequestering soil carbon may be limited in acidic soils, which are prevalent in Australia. The project will investigate the link between carbon cycling, soil acidification and liming, and provide important knowledge to identify agricultural practices which have the capacity to build soil carbon.
The key to making root nodules - new tricks for old hormones. This project aims to use and develop new chemical and microscopy-based tools to test whether the cell-type specific plant hormone changes induced by rhizobia in legumes can be triggered in non-legumes. Most crop plants rely on fossil fuel-derived nitrogen fertilisers, while legumes benefit from biologically-fixed nitrogen through a symbiosis with rhizobia bacteria that initiate nodules. It is not understood why non-legumes cannot form ....The key to making root nodules - new tricks for old hormones. This project aims to use and develop new chemical and microscopy-based tools to test whether the cell-type specific plant hormone changes induced by rhizobia in legumes can be triggered in non-legumes. Most crop plants rely on fossil fuel-derived nitrogen fertilisers, while legumes benefit from biologically-fixed nitrogen through a symbiosis with rhizobia bacteria that initiate nodules. It is not understood why non-legumes cannot form this symbiosis. This project aims to apply detailed knowledge of nodulation in model legumes to a phylogenetically diverse range of nodulating and non-nodulating plant species. This is expected to give new insight into the evolution of nodulation and advance the long held goal of extending nodulation to non-legumes.Read moreRead less
Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research ....Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research will include new data privacy models, new privacy-preserving data mining algorithms, and a prototype of cloud data mining software. These will help businesses cut costs for data mining and privacy protection, and provide significant benefits toward helping Australia achieve its national cyber security strategy and potentially provide economic impact from commercialisation of new software technology for the industry partner.Read moreRead less
Groundwater flow age distributions: Understanding open pit mine hydrology. This project aims to improve the estimation of the age of groundwater. Understanding groundwater age is critical for sustainable management and environmental tracers are increasingly used for this purpose. However, groundwater samples are inevitably mixtures of water of different ages. Since for most tracers the relationship between tracer concentration and age is not linear, different tracers can produce different mean a ....Groundwater flow age distributions: Understanding open pit mine hydrology. This project aims to improve the estimation of the age of groundwater. Understanding groundwater age is critical for sustainable management and environmental tracers are increasingly used for this purpose. However, groundwater samples are inevitably mixtures of water of different ages. Since for most tracers the relationship between tracer concentration and age is not linear, different tracers can produce different mean ages for the sample. This project aims to determine whether it is possible to determine moments of the groundwater age distributions from measurements made with different environmental tracers. The project also aims to examine whether the degree of heterogeneity within the aquifer can be determined from the disparity between ages obtained with different tracers. This project aims to tackle the largest problem with using groundwater chemistry to estimate water age – that mixing processes in the subsurface are never known. Solving this problem will allow much more accurate estimates of groundwater velocity and aquifer recharge rates. The groundwater industry contributes an estimated $6.8 billion per annum to the Australian economy, and this project will contribute to the sustainable management of the groundwater resource.Read moreRead less
Salty gas: the ecological risk of saline effluents from coal seam gas and other hydrocarbon resources. The objective of this project is to predict the effect of saline water produced from coal and coal seam gas extraction activities on freshwater systems. The findings will assist decisions on whether to permit discharge of such waste water, and if permitted under what conditions (e.g. water quality criteria) so as to prevent environment damage.
Using data mining methods to remove uncertainties in sensor data streams. This project will develop key techniques for removing uncertainties in sensor data streams and thus improve the monitoring quality of sensor networks. The expected outcomes will benefit Australia by enabling improved, lower-cost monitoring of natural resources and management of stock raising.