Minimising the inappropriate and unnecessary hospital admissions of frail older people. The health system will continue to experience massive pressures in both fiscal and human resource terms. Older patients present with multiple, complex conditions and tend to be admitted because clinicians often do not have the time to explore other options. This project will develop and evaluate a unique and robust model for minimising inappropriate hospital admissions through rapid assessment of suitability ....Minimising the inappropriate and unnecessary hospital admissions of frail older people. The health system will continue to experience massive pressures in both fiscal and human resource terms. Older patients present with multiple, complex conditions and tend to be admitted because clinicians often do not have the time to explore other options. This project will develop and evaluate a unique and robust model for minimising inappropriate hospital admissions through rapid assessment of suitability for home care and complete referral information for safety and quality. Read moreRead less
Managing knowledge in telehealth projects: creating better solutions and improving patient care. Telehealth is the use of information and communication technologies for the delivery of healthcare and medical education across a distance. This project will propose more effective ways to support telehealth initiatives by managing the knowledge and expertise that is an integral part of such projects, resulting in improved outcomes.
Intelligent CRM through Conjoint Data Mining of Heterogeneous Sources. This project aims to investigate and develop techniques to improve customer relationship management (CRM) for public and private organisations. It aims to develop an intelligent framework to assist in adaptive marketing and management of customers. The framework is designed to manage multiple information resources for information sharing, and to synthesise knowledge through visualisation. Intended outcomes are standardised XM ....Intelligent CRM through Conjoint Data Mining of Heterogeneous Sources. This project aims to investigate and develop techniques to improve customer relationship management (CRM) for public and private organisations. It aims to develop an intelligent framework to assist in adaptive marketing and management of customers. The framework is designed to manage multiple information resources for information sharing, and to synthesise knowledge through visualisation. Intended outcomes are standardised XML profiles for the different data sets and business processes, novel techniques for conjoint mining of structured and semi-structured data, and adaptive business intelligence techniques. The results will be validated using large real-world data sets provided by the partner organisation.Read moreRead less
Data Enhancement, Integration and Access Services for Smarter, Collaborative and Adaptive Whole-of Water Cycle Management. The project provides a valuable opportunity to make significant impact on water resource management and create community partnerships that will go well beyond the lifetime of the project. The project is expected to contribute to improved water quality and healthier ecosystems. In turn, the scientifically rich research environment will benefit all involved. It will demonstrat ....Data Enhancement, Integration and Access Services for Smarter, Collaborative and Adaptive Whole-of Water Cycle Management. The project provides a valuable opportunity to make significant impact on water resource management and create community partnerships that will go well beyond the lifetime of the project. The project is expected to contribute to improved water quality and healthier ecosystems. In turn, the scientifically rich research environment will benefit all involved. It will demonstrate the capability of the Australian researchers in addressing complex problems in data integration and quality. In particular there will be far reaching benefits of research training for associated PhD students and staff.Read moreRead less
Growing Sustainable Regions: Developing a Rural Statistical Sustainability Framework. Given the challenges facing rural and regional Australia, it is essential that communities and decision-makers have the information and resources to make informed and sustainable decisions. While there is a plethora of data that can provide this evidence-base, it is often complex, disorganised and inaccessible to those who need it. Hence, to facilitate smart information use, this research develops and implement ....Growing Sustainable Regions: Developing a Rural Statistical Sustainability Framework. Given the challenges facing rural and regional Australia, it is essential that communities and decision-makers have the information and resources to make informed and sustainable decisions. While there is a plethora of data that can provide this evidence-base, it is often complex, disorganised and inaccessible to those who need it. Hence, to facilitate smart information use, this research develops and implements a Rural Statistical Sustainability Framework and decision support modelling tool that integrates environmental, economic and social data into a single user-friendly source. This will provide a platform for evidence-based decision-making that will lead to a sustainable future for rural and regional Australia.Read moreRead less
Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provi ....Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provide real-time decisions for plant operators on the required treatment regime for incoming raw water, and advise them on the optimal reservoir offtake depth. This will potentially minimise treatment costs and health risks for consumers. The ultimate goal is to significantly enhance current water supply management practices.Read moreRead less
Reconciling Activity-centric and Business Object-centric Approaches to Business Process Modelling. Business process models are a fundamental instrument for analysing and automating the operations of organisations. At present, the space of business process modelling techniques is characterised by fragmentation with various approaches striking different tradeoffs. Two major families of approaches can be distinguished: activity-centric and business object-centric. These approaches correspond to com ....Reconciling Activity-centric and Business Object-centric Approaches to Business Process Modelling. Business process models are a fundamental instrument for analysing and automating the operations of organisations. At present, the space of business process modelling techniques is characterised by fragmentation with various approaches striking different tradeoffs. Two major families of approaches can be distinguished: activity-centric and business object-centric. These approaches correspond to complementary viewpoints. We see great potential in creating a level of integration between them. Accordingly, the project will investigate the relative expressiveness of these approaches, identify incompatibilities and synergies, and design model transformations. This will establish a foundation for next-generation business process modelling tools.Read moreRead less
The Airport Metropolis: Managing the Interfaces. The project aims to develop coordinated and equitable decision-making to ensure that airport-urban development balances economic, social and environmental issues and produces a sustainable regional (and national) competitive advantage that is both secure and resilient. The project will develop modelling technologies for the innovative management of data to ensure efficient and resilient infrastructure coordination. The outputs will enable an open ....The Airport Metropolis: Managing the Interfaces. The project aims to develop coordinated and equitable decision-making to ensure that airport-urban development balances economic, social and environmental issues and produces a sustainable regional (and national) competitive advantage that is both secure and resilient. The project will develop modelling technologies for the innovative management of data to ensure efficient and resilient infrastructure coordination. The outputs will enable an open planning process whereby all stakeholders are able to provide informed input into decision-making. Strategic decision-making, based on increased certainty about future airport and regional planning and development will improve conditions for growth in a range of industries.Read moreRead less
Reducing the risks associated with developing large-scale, critical software-integrated systems. Industry, government and defence increasingly rely on large-scale, critical software-integrated systems. The scale and complexity of these systems means current methods of analysing, designing and assuring their dependability are struggling to provide the constructive support and assurance that is demanded. Consequently, there are significant risks of cost and schedule overruns and of system problems ....Reducing the risks associated with developing large-scale, critical software-integrated systems. Industry, government and defence increasingly rely on large-scale, critical software-integrated systems. The scale and complexity of these systems means current methods of analysing, designing and assuring their dependability are struggling to provide the constructive support and assurance that is demanded. Consequently, there are significant risks of cost and schedule overruns and of system problems and failures. This project builds on results from our current collaboration - a new method for modelling, analysis and defect detection for the requirements of large-scale systems. We will develop and scale-up to industry strength, simpler, more powerful, strategies for analysing, designing and providing the high level of assurance required.Read moreRead less
Defending AI based FinTech Systems against Model Extraction Attacks. This project aims to develop new methods for defending artificial intelligence (AI) based FinTech systems from highly potent and insidious model extraction attacks whereby an adversary can steal the AI model from the system to cause intellectual property (IP) violation, business advantage disruption, and financial loss. This can be achieved by examining various attack models, creating active and utility-preserving defences, and ....Defending AI based FinTech Systems against Model Extraction Attacks. This project aims to develop new methods for defending artificial intelligence (AI) based FinTech systems from highly potent and insidious model extraction attacks whereby an adversary can steal the AI model from the system to cause intellectual property (IP) violation, business advantage disruption, and financial loss. This can be achieved by examining various attack models, creating active and utility-preserving defences, and inventing non-removable watermarks on AI models. The outcomes are new tools for securing AI-based FinTech systems before deployment and tools for IP violation forensics post-deployment. Such capabilities are beneficial by improving the security and safety of FinTech systems and other nationally critical AI systems.Read moreRead less