Architectural Work Cultures: professional identity, education and wellbeing. This project aims to examine the work and study cultures of architecture in Australia, in relation to professional identity, and in terms of impact on wellbeing, with a whole-of-career scope spanning education to retirement. It will generate the first comprehensive account of work-related wellbeing problems for both architectural practitioners and students, via qualitative and quantitative methods and a vigorous engagem ....Architectural Work Cultures: professional identity, education and wellbeing. This project aims to examine the work and study cultures of architecture in Australia, in relation to professional identity, and in terms of impact on wellbeing, with a whole-of-career scope spanning education to retirement. It will generate the first comprehensive account of work-related wellbeing problems for both architectural practitioners and students, via qualitative and quantitative methods and a vigorous engagement with the profession. Expected outcomes include two toolkits to assist the profession to support cultural change across educational, workplace and institutional settings. This should provide significant benefits for the wellbeing of architects at all career stages, and also support the long-term viability of the sector.Read moreRead less
Making better decisions about built assets: learning by doing. This research will assist the built environment professions and their clients to make better decisions about new developments through a novel 'learning by doing' approach. Used successfully in other fields such as natural resource management, this idea will capitalise on the large number of asset investments undertaken to benchmark original stakeholder intentions and aspirations against the reality of current performance. Decisions w ....Making better decisions about built assets: learning by doing. This research will assist the built environment professions and their clients to make better decisions about new developments through a novel 'learning by doing' approach. Used successfully in other fields such as natural resource management, this idea will capitalise on the large number of asset investments undertaken to benchmark original stakeholder intentions and aspirations against the reality of current performance. Decisions will be re-evaluated in the context of contemporary economic, social and environmental criteria to enable existing multi-criteria models to deliver more sustainable outcomes that are also feasible and in the national interest, and consequently minimise the industry's current exposure to future climate change.Read moreRead less
Remembering the Wars: Community Significance of Western Australian War Memorials. The project will provide an enriched understanding of war commemoration, community meanings, the design of war memorials and recommendations of practical strategies for their interpretation and conservation. The research from this project will add to the social understanding of our national war commemorative practices, the connections between community meaning and memorial design and the importance of war memorials ....Remembering the Wars: Community Significance of Western Australian War Memorials. The project will provide an enriched understanding of war commemoration, community meanings, the design of war memorials and recommendations of practical strategies for their interpretation and conservation. The research from this project will add to the social understanding of our national war commemorative practices, the connections between community meaning and memorial design and the importance of war memorials as instruments of citizenship. Results will be used to formulate a strategy to raise regional community awareness and regard for local war memorials through publications and through the direct action of local RSL Branches and community interest groups with a view to application on a national scale through the RSL. 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
Tools, methodologies and reasoning support for developing companion-toy modules. This project investigates building of modules for an intelligent Toy which can be customised and adapted over time by add-on modules. Intelligent interactive toys are growing in popularity, and the ability for such a toy to develop over a prolonged lifetime, is both a sound business idea and a mechanism for extending the useful life of the Toy.
Assistive technologies for autism support harnessing social media. This project aims to tap social media to revolutionize early intervention therapy for children with autism. By creating open, extensible software for therapy delivery, and tools for parents to access high quality information and support, we will provide children a greater chance to achieve their potential and much-needed relief for parents and carers.
Assistive technologies for Autism support. Growing numbers of children are diagnosed with Autism Spectrum Disorder, leading to a massive financial burden on educational, medical and social service systems. This project aims to construct technological solutions to ease this cost with software frameworks for both children and parents. These novel tools and techniques address key issues: personalisation of early intervention, extension of interventions in alternate contexts, and parental support th ....Assistive technologies for Autism support. Growing numbers of children are diagnosed with Autism Spectrum Disorder, leading to a massive financial burden on educational, medical and social service systems. This project aims to construct technological solutions to ease this cost with software frameworks for both children and parents. These novel tools and techniques address key issues: personalisation of early intervention, extension of interventions in alternate contexts, and parental support through analysis of social media. The outcomes aim to include algorithms and prototype applications for flexible early intervention and support for parents and carers, including evaluation of the developed tools in real-world settings.Read moreRead less
Mathematical and computational models for agrichemical retention on plants. Mathematical and computational models for agrichemical retention on plants. This project aims to build interactive software that simulates agrichemical spraying for multiple virtual plants reconstructed from scanned data. Mathematical modelling and computer simulation could offer an alternative to expensive experimental programs for agrichemical spraying of plants. This project will use contemporary fluid mechanics to bu ....Mathematical and computational models for agrichemical retention on plants. Mathematical and computational models for agrichemical retention on plants. This project aims to build interactive software that simulates agrichemical spraying for multiple virtual plants reconstructed from scanned data. Mathematical modelling and computer simulation could offer an alternative to expensive experimental programs for agrichemical spraying of plants. This project will use contemporary fluid mechanics to build practical mathematical models for droplet impaction, spreading and evaporation on leaf surfaces, and experimentally calibrate and validate the models. The software is expected to drive the development of agrichemical products that increase retention, minimise environmental impacts, and reduce costs for end-users.Read moreRead less
Practice-based Systematized Nomenclature of Medicine (SNOMED) concept learning for drug-disease precaution early detection and refinement. The outcome of the Systematized Nomenclature of Medicine (SNOMED) concept learning system will help mitigate the impact of Adverse Drug Events hence directly contribute to the National Research Priority promoting and maintaining good health. It will tailor SNOMED knowledge to different clinical settings and provide evidence-based preventative health care. Th ....Practice-based Systematized Nomenclature of Medicine (SNOMED) concept learning for drug-disease precaution early detection and refinement. The outcome of the Systematized Nomenclature of Medicine (SNOMED) concept learning system will help mitigate the impact of Adverse Drug Events hence directly contribute to the National Research Priority promoting and maintaining good health. It will tailor SNOMED knowledge to different clinical settings and provide evidence-based preventative health care. The enabling methodology from this project for building computerised cognitive learning systems will be a frontier technology to enhance smart information use in clinical decision support. It will also contribute to the development of knowledge-based systems. A network version of the developed system will assist doctors working in rural and remote areas with their clinical decision making and prescribing practice.Read moreRead less
A theoretical framework for practical partial fingerprint identification. Fingerprints captured from a crime scene are often partial and poor quality which makes it difficult to identify the criminal suspects from large databases. This project will find mathematical models which can estimate the missing information located in the blank areas of a partial fingerprint and effectively identify it.