Understanding and controlling bioavailability: passive dosing of persistent organic pollutants into recombinant cell bioassays. Bioassays with mammalian cell lines may replace animal testing in chemical risk assessment if issues with limited sensitivity can be overcome for very hydrophobic chemicals such as polychlorinated dibenzodioxins. The project will solve this problem by developing a polymer-release dosing technique that assures defined and constant exposure.
Exposure mapping - combining wastewater analysis with human biomonitoring. This project aims to develop a spatial and temporal understanding of chemical exposure in the Australian population. The project will use wastewater samples collected from over 100 catchments (65% of Australian population) during the 2016 Census to spatially resolve human exposure to chemicals. These data will then form the basis for focused human biomonitoring using pooled surplus pathology samples. The integration of ....Exposure mapping - combining wastewater analysis with human biomonitoring. This project aims to develop a spatial and temporal understanding of chemical exposure in the Australian population. The project will use wastewater samples collected from over 100 catchments (65% of Australian population) during the 2016 Census to spatially resolve human exposure to chemicals. These data will then form the basis for focused human biomonitoring using pooled surplus pathology samples. The integration of wastewater and biomonitoring data will allow the creation of a national hazard specific exposure map that can be compared with geospatial data on disease risk and socioeconomic indicators (via ABS information). The benefits include the capability to identify and manage exposure risks to public health.Read moreRead less
Functional characterisation of contaminant-nanoparticle associations. Nanoparticles present in the environment modify the movement and toxicity of contaminants. This project targets key gaps that hinder the ability to predict the fate and behaviour of environmental contaminants; this will lead to the optimisation of legislative framework and the management/remediation of contaminated sites (for example, mine sites, landfills).
From environmental monitoring to management: extracting knowledge about environmental events from sensor data. New, high-detail sources of environmental sensor data are useless without new methods for identifying patterns and extracting knowledge from that data. This project will develop improved techniques for interacting with environmental sensor data to assist environmental scientists and manager in understand the important events that are occurring.
Advanced techniques for imaging radar interferometry. The Earth's surface is changing all the time, both slowly and dramatically, due to activities such as groundwater extraction, underground mining and earthquakes. This project will develop advanced, cost-effective and accurate imaging radar techniques that can measure subtle surface changes frequently, in order to safeguard significant infrastructure.
Robotic investigation of water optical properties in the Southern Ocean. The project aims to improve our understanding of light–matter interactions in the waters of the Southern Ocean (SO), in particular the role of phytoplankton and associated material of biological origin. Phytoplankton are the energy source for the food web and a critical component of carbon cycling in the SO. However, their dynamics in the SO cannot be quantified using satellite observations because bio-optical data processi ....Robotic investigation of water optical properties in the Southern Ocean. The project aims to improve our understanding of light–matter interactions in the waters of the Southern Ocean (SO), in particular the role of phytoplankton and associated material of biological origin. Phytoplankton are the energy source for the food web and a critical component of carbon cycling in the SO. However, their dynamics in the SO cannot be quantified using satellite observations because bio-optical data processing algorithms perform poorly due to a lack of field data. This project seeks to remedy this by improving understanding of SO bio-optics, and by providing novel algorithms of known uncertainty, based on in situ data.Read moreRead less
Biodiversity indicators for better conservation decisions. This project aims to test, design and select biodiversity indicators to support conservation. Reliable and sensitive biodiversity indicators are critical to track progress towards conservation targets, but the ability of most biodiversity indicators to reveal trends needed by decision-makers is untested. This project will test indicators to monitor biodiversity change at local to global scales, by sampling ecosystem models to evaluate ho ....Biodiversity indicators for better conservation decisions. This project aims to test, design and select biodiversity indicators to support conservation. Reliable and sensitive biodiversity indicators are critical to track progress towards conservation targets, but the ability of most biodiversity indicators to reveal trends needed by decision-makers is untested. This project will test indicators to monitor biodiversity change at local to global scales, by sampling ecosystem models to evaluate how indicator design, data bias and environmental variability affect performance. Project outcomes are expected to ensure that that data collected to monitor and assess the state of Australia’s environment are informative, cost-effective and robust. This is expected to have implications for predicting and measuring effects of policy such as the Convention on Biological Diversity.Read moreRead less
A Photometric Imaging Model for Mobile Underwater Camera Design. This project aims to develop the first photometric model of computational image formation from a mobile underwater platform, allowing the prediction of performance for conventional and computational cameras in physically grounded scenarios. The model is expected to include sufficient detail to predict key performance metrics relevant to targeted underwater imaging applications, including three-dimensional structure recovery, surfac ....A Photometric Imaging Model for Mobile Underwater Camera Design. This project aims to develop the first photometric model of computational image formation from a mobile underwater platform, allowing the prediction of performance for conventional and computational cameras in physically grounded scenarios. The model is expected to include sufficient detail to predict key performance metrics relevant to targeted underwater imaging applications, including three-dimensional structure recovery, surface reflectance characterisation, and discrimination for automated and human-driven classification of benthic habitats. Novel imaging systems optimised for the requirements of specific marine imaging tasks are intended to be designed and constructed, exploiting the imaging model to rapidly explore the camera design space.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
Remote sensing estimation of greenhouse gas emissions from floodplains in the wet-dry tropics. This project provides regional-scale estimates of greenhouse gas emissions from major floodplains in the wet-dry tropics. These estimates are required for future national carbon accounting, and are critical knowledge gaps for current global climate models.