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
Personalised topic modelling and sentiment analysis for enhanced information discovery over document streams. This project will develop personalised information discovery, navigation and management systems of online content for the creative industries, e.g. to help advertising agencies understand market trends, and enable designers to discover and analyse information relating to new product concepts.
Developing a novel carbon negative fertiliser . Food security is vital to support our growing population. However, our increasing reliance on intensive farming systems necessitates increased fertiliser use, leading to increased water pollution and soil degradation - threatening both the Australian environment and food security. Increasing carbon storage capacity by soil and decreasing fertiliser use are two of the primary pathways for restoring the bio-support capacity of soils and reducing farm ....Developing a novel carbon negative fertiliser . Food security is vital to support our growing population. However, our increasing reliance on intensive farming systems necessitates increased fertiliser use, leading to increased water pollution and soil degradation - threatening both the Australian environment and food security. Increasing carbon storage capacity by soil and decreasing fertiliser use are two of the primary pathways for restoring the bio-support capacity of soils and reducing farming footprints. This innovative and first-of-its-kind project aims to develop a cost-effective, carbon negative fertiliser that reduces fertiliser inputs and increases soil carbon storageRead moreRead less
Urban biochar: towards prescriptive biochar use for maximum economic productivity and sustainability benefits in urban environments. This project will develop a life cycle assessment of waste management options for green waste and biosolids based on a clear understanding of productivity benefits of urban biochar application to high value production systems.
Talking about place: tapping human knowledge to enrich national spatial data sets. Place descriptions are a common way for people to describe a location, but no current tools are smart enough to understand them. Emergency call centres are risking lives, users of navigation or web services are frustrated and addressing these problems costs billions of dollars per year. This project comes with a novel, interdisciplinary approach to automatically interpret human place descriptions and will develop ....Talking about place: tapping human knowledge to enrich national spatial data sets. Place descriptions are a common way for people to describe a location, but no current tools are smart enough to understand them. Emergency call centres are risking lives, users of navigation or web services are frustrated and addressing these problems costs billions of dollars per year. This project comes with a novel, interdisciplinary approach to automatically interpret human place descriptions and will develop novel methods to capture placenames with their meaning for smarter databases and automatic interpretation procedures. This acquired knowledge will be an important step forward for Australia's data custodians and users. Australia's location information industry will gain a significant advantage on a highly competitive global market.Read moreRead less
Accurate Context-Aware Search for Managed Document Collections. Search is a key component of a vast range of computing applications. However, while search on large collections of general-purpose text is well-understood, and the best systems are highly effective, search on smaller or special-purpose collections is much less reliable and has attracted relatively little research. By identifying general ways of using context such as user history or prior page usefulness, the quality of search in s ....Accurate Context-Aware Search for Managed Document Collections. Search is a key component of a vast range of computing applications. However, while search on large collections of general-purpose text is well-understood, and the best systems are highly effective, search on smaller or special-purpose collections is much less reliable and has attracted relatively little research. By identifying general ways of using context such as user history or prior page usefulness, the quality of search in such cases can be greatly improved. Products that make use of these principles will provide greater workplace efficiency and be able to locate information that other search tools cannot identify.Read moreRead less
Below-ground processes: filling the missing gap in predicting the response of grain production to elevated carbon dioxide (CO2) in southern Australia. Climate change is expected to have major impacts on the Australian grains industry, which is worth $7 billion annually. Although increases in atmospheric carbon dioxide (CO2) are expected to initially increase plant productivity, the realisation of these productivity benefits is expected to be limited by water and/or nutrient deficiencies. Given o ....Below-ground processes: filling the missing gap in predicting the response of grain production to elevated carbon dioxide (CO2) in southern Australia. Climate change is expected to have major impacts on the Australian grains industry, which is worth $7 billion annually. Although increases in atmospheric carbon dioxide (CO2) are expected to initially increase plant productivity, the realisation of these productivity benefits is expected to be limited by water and/or nutrient deficiencies. Given our low rainfall and infertile soils, there is considerable uncertainty about the applicability of overseas data used to model how Australian grain systems will respond to climate change (especially elevated CO2). This project will lead to better predictions of the impact of climate change on Australian grain systems so that appropriate adaptation responses can be developed by government and industry.Read moreRead less
Improving battery safety with boron nitride nanotube separators. This project aims to improve the safety of lithium ion batteries by developing high –temperature, stable separators. The use of batteries in a hot Australian summer is a major safety issue for our society. This project will develop a new and safe battery technology with the help of boron nitride nanotubes to effectively reduce the risk of thermal runaway of battery cells. The expected outcomes will have a global impact on the safet ....Improving battery safety with boron nitride nanotube separators. This project aims to improve the safety of lithium ion batteries by developing high –temperature, stable separators. The use of batteries in a hot Australian summer is a major safety issue for our society. This project will develop a new and safe battery technology with the help of boron nitride nanotubes to effectively reduce the risk of thermal runaway of battery cells. The expected outcomes will have a global impact on the safety of the current battery technology and the innovative application of boron nitride nanotubes in battery technology. It will position industry on the cutting edge of battery technology required for energy storage development in Australia.Read moreRead less
Real-time and self-adaptive stream data analyser for intensive care management. The clinical benefit of this project will be in improved success rates and reduced mortality and risk in surgery and intensive care units. The Information and communication technology (ICT) benefit of this project is associated with the novel online algorithms and models aligned with the stream data research, and will be enhanced by our stream compression techniques. The stream data analyser developed in this projec ....Real-time and self-adaptive stream data analyser for intensive care management. The clinical benefit of this project will be in improved success rates and reduced mortality and risk in surgery and intensive care units. The Information and communication technology (ICT) benefit of this project is associated with the novel online algorithms and models aligned with the stream data research, and will be enhanced by our stream compression techniques. The stream data analyser developed in this project will be suitable for more than medical surveillance data; it will also improve the processing of other kinds of massive stream data (for example data from remote sensors, communication networks and other dynamic environments). The project involves a scientifically rich collaboration that will enhance the skills of PhD students and staff and drive the field forward.Read moreRead less
Field Data based Predictive Maintenance and Enhanced Track Design Procedure. Providing improved railroad design and maintenance solutions with accurate and timely assessment of track performance is vital to reduce the disruption of services, excessive maintenance costs and degradation over time. This project aims to develop a predictive maintenance model based on extensive wayside measurements to monitor and predict the nature of track instability. This will also be supplemented by mathematical ....Field Data based Predictive Maintenance and Enhanced Track Design Procedure. Providing improved railroad design and maintenance solutions with accurate and timely assessment of track performance is vital to reduce the disruption of services, excessive maintenance costs and degradation over time. This project aims to develop a predictive maintenance model based on extensive wayside measurements to monitor and predict the nature of track instability. This will also be supplemented by mathematical modelling to corroborate large-scale laboratory observations with past and real-time field monitoring records. This project will deliver tangible strategies and tools to increase track longevity and assist decision-makers in planning and prioritising corrective maintenance to ensure improved safety and passenger comfort.Read moreRead less