Forensic reasoning and uncertainty: identifying pattern and impression expertise. Maintaining high standards of evidence is vital for an effective justice system and ensuring that innocent people are not wrongly accused. This project aims to improve the reliability of forensic evidence and the value of expert testimony in the criminal justice system by examining forensic decision making.
Economically efficient green logistics through cyber physical systems. Economically efficient green logistics through cyber physical systems. This project aims to realize green logistics by researching how to run diesel-powered heavy-duty milk trucks economically and efficiently on liquefied natural gas (LNG) and demonstrating to logistics companies that LNG conversion will reduce operating costs and emissions. Transportation systems account for 18% of Australia's carbon emissions, and diesel-po ....Economically efficient green logistics through cyber physical systems. Economically efficient green logistics through cyber physical systems. This project aims to realize green logistics by researching how to run diesel-powered heavy-duty milk trucks economically and efficiently on liquefied natural gas (LNG) and demonstrating to logistics companies that LNG conversion will reduce operating costs and emissions. Transportation systems account for 18% of Australia's carbon emissions, and diesel-powered logistics vehicles are a major contributor. However, converting these trucks to LNG requires strong evidence to convince logistics companies of the benefits of shifting to green logistics. An increase in logistics productivity is expected to increase Australia’s gross domestic product by $2 billion, while this research should also provide vital data on sustainability issues and LNG conversions.Read moreRead less
Testing trade mark law's image of the consumer. An effective trade mark law is vital both to protect consumers and to allow businesses to build brand recognition. This project seeks to put Australian trade mark law on a firmer empirical footing by bringing together experts from psychology, law and marketing to test the law’s assumptions against actual consumer responses.
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
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
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