Engineering safe decision support systems for healthcare. System safety is critical to the success of large-scale computerisation being undertaken to improve the quality of health services delivery worldwide. The research program will develop innovative tools and methods to improve the safety of clinical information systems. The focus on electronic prescribing systems will ensure that the outcomes of this research will have immediate impact on reducing medication errors which are a significant p ....Engineering safe decision support systems for healthcare. System safety is critical to the success of large-scale computerisation being undertaken to improve the quality of health services delivery worldwide. The research program will develop innovative tools and methods to improve the safety of clinical information systems. The focus on electronic prescribing systems will ensure that the outcomes of this research will have immediate impact on reducing medication errors which are a significant public health issue both nationally and internationally. Read moreRead less
Cohesive Subgraph Discovery on Big Bipartite Graphs. This project aims to develop novel technology for efficient and scalable cohesive subgraph discovery on big bipartite graphs, including new theories, indexing techniques, and data processing algorithms. We anticipate addressing key challenges and laying scientific foundations of big graph computation, as well as delivering high-impact technologies. The success of the project will directly benefit the key applications in Australia such as cyber ....Cohesive Subgraph Discovery on Big Bipartite Graphs. This project aims to develop novel technology for efficient and scalable cohesive subgraph discovery on big bipartite graphs, including new theories, indexing techniques, and data processing algorithms. We anticipate addressing key challenges and laying scientific foundations of big graph computation, as well as delivering high-impact technologies. The success of the project will directly benefit the key applications in Australia such as cyber-security, health, bio-informatics, social networks, and E-commerce. The success of the project will also facilitate the training of PhD graduates and postdoctoral research associates in the area of Big Data.
Read moreRead less
Informatics approaches to improving risk assessment and response to outbreaks of communicable diseases. The project will address the detection of infections caused by category A biological agents which pose a risk to national security. The project will contribute to Research priority 4 'Safeguarding Australia from invasive diseases and securing our critical infrastructure' by developing detection and alerting techniques for potential catastrophic threats. The Australian community will benefit fr ....Informatics approaches to improving risk assessment and response to outbreaks of communicable diseases. The project will address the detection of infections caused by category A biological agents which pose a risk to national security. The project will contribute to Research priority 4 'Safeguarding Australia from invasive diseases and securing our critical infrastructure' by developing detection and alerting techniques for potential catastrophic threats. The Australian community will benefit from more efficient detection and management of potential biothreats to health and infrastructure. The application of the model to other industry sectors will enable better strategic planning and implementation of biosecurity initiatives. The potential national cost-benefit is impressive given limitations of currently used surveillance tools.Read moreRead less
Service Ecosystems Management for Collaborative Process Improvement. Australian government agencies currently explore opportunities for streamlining their business processes. A promising approach relates to the improvement of cross-agency processes based on service-enabled technologies. This project will use requirements within Queensland Government for the design of a service ecosystem and methodological and management concepts to derive a general framework for intra-organisational ecosystems. ....Service Ecosystems Management for Collaborative Process Improvement. Australian government agencies currently explore opportunities for streamlining their business processes. A promising approach relates to the improvement of cross-agency processes based on service-enabled technologies. This project will use requirements within Queensland Government for the design of a service ecosystem and methodological and management concepts to derive a general framework for intra-organisational ecosystems. Though the focus will be on government processes, the project will generalise beyond this scope for a wider uptake of service ecosystems in Australian organisations. This will lead to reduced process costs and risks and will leverage the exploration of new revenue streams, e.g. shared services and reward schemes.Read moreRead less
Positive Computing: The design of technologies that support psychological wellbeing. Designing future technology to foster psychological wellbeing has the potential to affect population-wide positive change. The design of software like apps or social media, can impact things like cyber-bullying, depression, or even foster resilience. This project aims to connect experts across multiple disciplines (psychology, technology and policy) to develop pioneering methods, knowledge, and strategies that w ....Positive Computing: The design of technologies that support psychological wellbeing. Designing future technology to foster psychological wellbeing has the potential to affect population-wide positive change. The design of software like apps or social media, can impact things like cyber-bullying, depression, or even foster resilience. This project aims to connect experts across multiple disciplines (psychology, technology and policy) to develop pioneering methods, knowledge, and strategies that will allow future technologies to play an active role in improving health, performance, and quality of life for all Australians, through research-based design for wellbeing. In doing so, Australia will lead the way on the technological front in a growing global initiative to improve the wellbeing of nations.Read moreRead less
Development of domain information model for aged & community care in Australia. The aim of this research is to develop a care-oriented reference information and communication model (RIM) that will inform national policy for the development of a national information technology strategic plan for aged care. The model will reflect the domain specific content and work of service providers and consumers in the aged and community care context and the unique cultural, social and professional attributes ....Development of domain information model for aged & community care in Australia. The aim of this research is to develop a care-oriented reference information and communication model (RIM) that will inform national policy for the development of a national information technology strategic plan for aged care. The model will reflect the domain specific content and work of service providers and consumers in the aged and community care context and the unique cultural, social and professional attributes of this sector. The model will be used to evaluate the applicability of the HealthOnline framework, including the relevance of emerging interoperability standards to the aged and community care sector.Read moreRead less
Practical methodologies for agent-oritented conceptual modelling. Conceptual modelling involves using knowledge representation techniques to support the requirements engineering phase of the software life-cycle. Agent-oriented conceptual modelling is a relatively new technique that offers significant benefits in modelling complex organisational information systems. However, several problems need to be addressed with current agent-oriented conceptual modelling languages and methodologies. In the ....Practical methodologies for agent-oritented conceptual modelling. Conceptual modelling involves using knowledge representation techniques to support the requirements engineering phase of the software life-cycle. Agent-oriented conceptual modelling is a relatively new technique that offers significant benefits in modelling complex organisational information systems. However, several problems need to be addressed with current agent-oriented conceptual modelling languages and methodologies. In the context of a PhD dissertation, this project will develop an improved agent-oriented conceptual modelling framework and related requirements elicitation techniques drawing on advances in Artificial intelligenct, Requireents Engineering and Organisational Semiotics. The practical deliverables of this project will address the needs of a large complex government organisation.Read moreRead less
Efficient processing of large scale multi-dimensional graphs. This project aims to develop novel approaches to process large scale multi-dimensional graphs. The project will focus on the three most representative types of problems against multi-dimensional graphs, namely cohesive subgraph computation, frequent subgraph mining, and subgraph matching. The project outcome will include a set of new theories, novel indexing and data processing techniques, including distributed and single node computa ....Efficient processing of large scale multi-dimensional graphs. This project aims to develop novel approaches to process large scale multi-dimensional graphs. The project will focus on the three most representative types of problems against multi-dimensional graphs, namely cohesive subgraph computation, frequent subgraph mining, and subgraph matching. The project outcome will include a set of new theories, novel indexing and data processing techniques, including distributed and single node computation. The success of the project will significantly contribute to the technology development and the scientific foundation of big graph processing.Read moreRead less
Towards efficient processing of big graphs. This project aims to develop theory and techniques for efficient and scalable processing of Big Graph, a major field in Big Data. The project will focus on primitive graph queries covering many applications. Anticipated outcomes include a set of theories, indexing and data processing (including distributed and approximate) techniques. The success of the project is expected to contribute to the technology development and the scientific foundation of Big ....Towards efficient processing of big graphs. This project aims to develop theory and techniques for efficient and scalable processing of Big Graph, a major field in Big Data. The project will focus on primitive graph queries covering many applications. Anticipated outcomes include a set of theories, indexing and data processing (including distributed and approximate) techniques. The success of the project is expected to contribute to the technology development and the scientific foundation of Big Graph processing.Read moreRead less
Med-Graphic Avatar - a comprehensive, holistic and customisable model for personal health records. Our customisable Med-Graphic Avatar will open up unprecedented access, intuitive interpretation, smart utilisation, and new understanding of massive, diverse health data, and will herald a revolution in patient-centric, holistic medical care, synergising with next generation of participatory, personalised, preventative and predictive eHealth.