Data-driven Traffic Analytics for Incident Analysis and Management. Traffic incidents are among the primary concerns of all transport authorities around the world due to their significant impact in terms of traffic congestion and delay, air and noise pollution, and management cost. This project aims to address incident analysis and management in complex and multi-modal traffic networks by combining multidisciplinary research efforts from transportation engineering and data science. The intended ....Data-driven Traffic Analytics for Incident Analysis and Management. Traffic incidents are among the primary concerns of all transport authorities around the world due to their significant impact in terms of traffic congestion and delay, air and noise pollution, and management cost. This project aims to address incident analysis and management in complex and multi-modal traffic networks by combining multidisciplinary research efforts from transportation engineering and data science. The intended outcomes will be an innovative incident analysis and management framework synergising traffic data analytics and traffic simulation modelling as well as its key enabling techniques and prototype systems. This will significantly help mitigate incident impacts on daily commuters.Read moreRead less
Governance of information technology programmes: achieving accountability, control and success. This project aims to improve the effectiveness with which IT-enabled programmes are managed by public and private organisations. The theoretical knowledge and guides for good practice emerging from this study will contribute to increased success in managing and delivering complex and vital programmes across Australia.
Intelligent Biomedical System Modelling and Multi-modality Image Analysis to Maximize Diagnostic Information from Medical Imaging. Medical imaging is an essential part of our Australian modern health care system and plays an important role in the diagnosis, treatment planning and decision making and assessment of treatment of patients. This project aims to maximize the benefit of federal government healthcare investment through intelligent biomedical system modelling in conjunction with multi-mo ....Intelligent Biomedical System Modelling and Multi-modality Image Analysis to Maximize Diagnostic Information from Medical Imaging. Medical imaging is an essential part of our Australian modern health care system and plays an important role in the diagnosis, treatment planning and decision making and assessment of treatment of patients. This project aims to maximize the benefit of federal government healthcare investment through intelligent biomedical system modelling in conjunction with multi-modality image analysis to extract crucial additional information for accurate diagnosis and improved treatment, which will not only lead to a major scientific advancement, but also deliver significant social benefits.Read moreRead less
Developing a Theory of Green Information Systems. Reducing the environmental impact and increasing the environmental sustainability of organisations is a priority for Australia. Technology is meant to assist in this challenge, but knowledge is lacking about how information systems can meaningfully assist organisations in becoming sustainable. The goal of this project is to develop and test a theory of Green Information Systems, which describes design principles for information systems that allow ....Developing a Theory of Green Information Systems. Reducing the environmental impact and increasing the environmental sustainability of organisations is a priority for Australia. Technology is meant to assist in this challenge, but knowledge is lacking about how information systems can meaningfully assist organisations in becoming sustainable. The goal of this project is to develop and test a theory of Green Information Systems, which describes design principles for information systems that allow organisations to engage in sustainability sense-making and implement sustainable practices. The outcomes are expected to assist in the development of systems to support sustainability initiatives, the management of sustainability programs, and the reduction of organisations' environmental footprint.Read moreRead less
Socially Oriented Requirements Engineering - Software Engineering meets Ethnography. The project should lead to the design and development of better software/information and communications technologies in the homes of Australians, that encourage flexible social ineractions, and has been designed with the user in mind.
Agent-Based Simulation - New Approaches for Design and Prototyping. The project will improve the capacity of Australian companies to bring products to market more quickly where there are complex trade-offs between interacting actors. The simulation guidelines will help understand interaction in complex systems and the identification of important factors in the air traffic domain. The research will also preserve the leading position of Australian technology for high quality simulations of air tra ....Agent-Based Simulation - New Approaches for Design and Prototyping. The project will improve the capacity of Australian companies to bring products to market more quickly where there are complex trade-offs between interacting actors. The simulation guidelines will help understand interaction in complex systems and the identification of important factors in the air traffic domain. The research will also preserve the leading position of Australian technology for high quality simulations of air traffic control. The new methods will help Australian SMEs using agent technology, of which there are several.Read moreRead less
Escaping the concurrency trade-off: a new approach to enterprise software. Enterprise software manages the operations of all business and government organisations. Designers of this often rely on their intuition or luck, by using high-performance database facilities whose correctness is not guaranteed. This project will show designers how to use these facilities while still having the assurance that the data will not be corrupted. This will improve the quality of the data used by Australian ent ....Escaping the concurrency trade-off: a new approach to enterprise software. Enterprise software manages the operations of all business and government organisations. Designers of this often rely on their intuition or luck, by using high-performance database facilities whose correctness is not guaranteed. This project will show designers how to use these facilities while still having the assurance that the data will not be corrupted. This will improve the quality of the data used by Australian enterprises, and thus improve their operations. Australian software designers will also benefit, as they will be able to produce software that combines high performance with assurance that concurrency errors will not occur.Read moreRead less
Varying similarity metrics in indexing and retrieving high dimensional data. Many applications require varying distance metrics by putting a weight on different dimensions. Taking an example in visual information retrieval, due to the subjective nature of similarity measurements, the distance metrics can vary between different users. The main problem with k nearest neighbour (k-nn) searches using weighted metrics in a high dimensional space is whether the searches can be done efficiently, since ....Varying similarity metrics in indexing and retrieving high dimensional data. Many applications require varying distance metrics by putting a weight on different dimensions. Taking an example in visual information retrieval, due to the subjective nature of similarity measurements, the distance metrics can vary between different users. The main problem with k nearest neighbour (k-nn) searches using weighted metrics in a high dimensional space is whether the searches can be done efficiently, since in an arbitrary distance metric the intersection between the k-nn sphere and the bounding envelopes of nodes in an index tree cannot be easily calculated. This project aims to seek a novel solution. It will create a great impact on and have many applications in high dimensional visual information retrieval, instance-based learning, complex analysis, non-parametric density estimation, etc.Read moreRead less
Smart Information Use for PET-CT Quantitative Molecular Imaging. This project aims to use advanced computing algorithms to tackle
challenging problems associated with a new medical technology called
PET-CT which combines two imaging modalities in one device. While this technology is very new and has great potential in cancer and brain disorders, it also poses major challenges for information processing and transmission. We will address these challenges by developing advanced algorithms that op ....Smart Information Use for PET-CT Quantitative Molecular Imaging. This project aims to use advanced computing algorithms to tackle
challenging problems associated with a new medical technology called
PET-CT which combines two imaging modalities in one device. While this technology is very new and has great potential in cancer and brain disorders, it also poses major challenges for information processing and transmission. We will address these challenges by developing advanced algorithms that optimally extract information from PET and CT using mathematical models that correct for the various sources of inaccuracy. Our research will put Australian biomedical researchers and healthcare professionals at the forefront of advanced medical imaging technology.Read moreRead less
Application Frameworks for Collaborative Learning. We will pioneer the use of key software engineering techniques - design patterns and application frameworks - to reduce the cost and improve the quality of online collaborative learning activities. For the first time, we will combine software engineering and educational knowledge to use design patterns to describe best practice for these activities in engineering terms; we will use application frameworks to aggregate these patterns and implement ....Application Frameworks for Collaborative Learning. We will pioneer the use of key software engineering techniques - design patterns and application frameworks - to reduce the cost and improve the quality of online collaborative learning activities. For the first time, we will combine software engineering and educational knowledge to use design patterns to describe best practice for these activities in engineering terms; we will use application frameworks to aggregate these patterns and implement them as a readily usable tool. The result will be a powerful new generation of stable collaborative eLearning tools with enhanced scalability, interoperability and adaptability.Read moreRead less