Establishing advanced networks for air quality sensing and analyses. Establishing advanced networks for air quality sensing and analyses. This project aims to develop innovative, cost-effective, high resolution air quality networks. Recent developments in sensor technologies improve the ability to harvest atmospheric data. This project will develop, validate and implement methods for high sensitivity atmospheric sensing and apply cutting-edge statistical and analytic techniques to the data sets, ....Establishing advanced networks for air quality sensing and analyses. Establishing advanced networks for air quality sensing and analyses. This project aims to develop innovative, cost-effective, high resolution air quality networks. Recent developments in sensor technologies improve the ability to harvest atmospheric data. This project will develop, validate and implement methods for high sensitivity atmospheric sensing and apply cutting-edge statistical and analytic techniques to the data sets, unprecedented in scope and resolution. Outcomes include an open access database to quantify and visualise intra-urban air pollution and human exposure and develop air quality maps and smoke pollution management tools. It is expected to advance the evidence-based management of air as a resource, increasing economic prosperity and enhancing human health and quality of life.Read moreRead less
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
Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.Read moreRead less
Personalised Online Learning Analytics by Exploring Multilayer Graph Data . Learning analytics is becoming a significant factor in reducing the drop-out rate of students in online learning. The aim of this project is to develop a reliable, robust, real-time analysis system that automatically reveals multilayered relationships, evaluates students' learning performance, and generates a personal study plan through discovery. This project includes the design of novel algorithms for multilayer graph ....Personalised Online Learning Analytics by Exploring Multilayer Graph Data . Learning analytics is becoming a significant factor in reducing the drop-out rate of students in online learning. The aim of this project is to develop a reliable, robust, real-time analysis system that automatically reveals multilayered relationships, evaluates students' learning performance, and generates a personal study plan through discovery. This project includes the design of novel algorithms for multilayer graph processing, pattern recognition in learning activities, learning performance assessment, and personalised study plan recommendations. The success of this project will significantly enhance the success of online education both in Australia and worldwide and; hence, will save time, money and resources for end users.Read moreRead less
Reducing glyphosate exposure from high use practices. This project aims to investigate methods of reducing occupational exposure to glyphosate, a ubiquitous pollutant of emerging concern. This will be achieved through developing new cost-effective analytical and sampling tools and refining methods for integrating human exposure (biomonitoring) data with surveillance data on the pathways of glyphosate exposure from high use. The project will generate new targeted knowledge on (sub) population-spe ....Reducing glyphosate exposure from high use practices. This project aims to investigate methods of reducing occupational exposure to glyphosate, a ubiquitous pollutant of emerging concern. This will be achieved through developing new cost-effective analytical and sampling tools and refining methods for integrating human exposure (biomonitoring) data with surveillance data on the pathways of glyphosate exposure from high use. The project will generate new targeted knowledge on (sub) population-specific chemical exposures in Australia, and globally. Such data are critical to inform public health and chemical regulation policy, and provide clear guidance aimed at reducing exposures, to assess the effectiveness of existing regulations, and provide a framework for implementing surveys in the future.Read moreRead less
Fish fingerprints - signatures of oil contamination. The project aims to integrate chemical characterisation of crude oil with inorganic and organic markers in living organisms. Linking harmful effects on ecosystems with exposure to spilled crude oil remains a major challenge due to the ever-changing nature of oil in the environment. This project will expose fish to a range of fresh/weathered oils to mimic various exposure scenarios. The transition of oil to metabolites will be characterised in ....Fish fingerprints - signatures of oil contamination. The project aims to integrate chemical characterisation of crude oil with inorganic and organic markers in living organisms. Linking harmful effects on ecosystems with exposure to spilled crude oil remains a major challenge due to the ever-changing nature of oil in the environment. This project will expose fish to a range of fresh/weathered oils to mimic various exposure scenarios. The transition of oil to metabolites will be characterised in a suite of environmental and biological matrices using multi-dimensional chromatography/mass spectrometry, trace metals and compound-specific isotope analyses. This project will provide significant benefits by providing an improved capacity to link source oil with specific markers in living organisms.Read moreRead less
Unravelling how aquatic coastal networks regulate nitrogen removal . The aim of this project is to determine the nitrogen removal pathways of the coastal zone using a number of innovative field and modelling approaches. Little is known about how the complex coastal landscape controls trade-offs that maximise nitrogen removal but minimise nitrous oxide (a potent greenhouse gas) emissions. The outcomes of this study will significantly advance our understanding of the coastal zone in regional and g ....Unravelling how aquatic coastal networks regulate nitrogen removal . The aim of this project is to determine the nitrogen removal pathways of the coastal zone using a number of innovative field and modelling approaches. Little is known about how the complex coastal landscape controls trade-offs that maximise nitrogen removal but minimise nitrous oxide (a potent greenhouse gas) emissions. The outcomes of this study will significantly advance our understanding of the coastal zone in regional and global nitrogen budgets. This will provide significant benefits such as a new science-based quantitative framework to facilitate best practice management to reduce terrestrial nitrogen loads and associated downstream impacts such as eutrophication, and reduce nitrous oxide emissions and associated global warming.
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Airborne ultrafine particles in Australian cities. There is an acute deficiency of knowledge in Australia on urban airborne ultrafine particles, originating from transport and other anthropogenic sources, which pose significant health and environmental risks. The aim of this project is to address this deficiency by an extensive multi-city, cross-disciplinary study using state of the art instrumentation and data analytic techniques. The outcome will be an in depth, quantitative insight into the c ....Airborne ultrafine particles in Australian cities. There is an acute deficiency of knowledge in Australia on urban airborne ultrafine particles, originating from transport and other anthropogenic sources, which pose significant health and environmental risks. The aim of this project is to address this deficiency by an extensive multi-city, cross-disciplinary study using state of the art instrumentation and data analytic techniques. The outcome will be an in depth, quantitative insight into the characteristics of the particles, their sources and spatial and temporal variation across different urban areas and time scales. Further, the impacts of changing fuels, vehicle technologies, and climate on future trends of the particles will be elucidated.Read moreRead less
The Macroderma initiative: conserving ghost bats and informing development. This project aims to improve methods for capturing biological information required for environmental assessments of highly mobile species and enable strategic environmental planning in Northern Australia. Using Australia’s iconic ghost bat as a focus, the project will test and apply emerging technologies to obtain key information on a species’ population status and its critical resources to inform assessments of ecologic ....The Macroderma initiative: conserving ghost bats and informing development. This project aims to improve methods for capturing biological information required for environmental assessments of highly mobile species and enable strategic environmental planning in Northern Australia. Using Australia’s iconic ghost bat as a focus, the project will test and apply emerging technologies to obtain key information on a species’ population status and its critical resources to inform assessments of ecological impacts of industry development. Important benefits of the project include information and tools for streamlining development approvals and accurately assessing risks to threatened species to improve outcomes for both our economy and our natural environment.Read moreRead less