Rapidly Locating Items in Distribution Networks with Process-Driven Nodes. Safety-critical product recalls are a major public health issue in Australia. Recent extortion attempts involving poisoning of chocolate bars, paracetamol tablets and biscuits have demonstrated the urgent need for improved ways of locating commercial products that have been released into the community. Existing product recall tools are effective only within regulated manufacturing and warehousing facilities. This project ....Rapidly Locating Items in Distribution Networks with Process-Driven Nodes. Safety-critical product recalls are a major public health issue in Australia. Recent extortion attempts involving poisoning of chocolate bars, paracetamol tablets and biscuits have demonstrated the urgent need for improved ways of locating commercial products that have been released into the community. Existing product recall tools are effective only within regulated manufacturing and warehousing facilities. This project will develop novel techniques for locating items in large-scale distribution networks driven by complex logistic processes. The outcomes of the project will make it easier to rapidly and accurately pinpoint product locations outside controlled facilities, thus contributing to both cost savings and public safety.Read moreRead less
Next-Generation Reference Process Models. Business process modelling is a key tool for organisations striving to create efficiencies by leveraging their IT infrastructure. This project will develop techniques for increasing the productivity of business process analysts by allowing them to reuse as much as possible existing models rather than systematically desigining new ones from scratch. Specifically, the project will develop and validate a language for designing highly configurable process mo ....Next-Generation Reference Process Models. Business process modelling is a key tool for organisations striving to create efficiencies by leveraging their IT infrastructure. This project will develop techniques for increasing the productivity of business process analysts by allowing them to reuse as much as possible existing models rather than systematically desigining new ones from scratch. Specifically, the project will develop and validate a language for designing highly configurable process models. This language will enable superior approaches to business process modelling and hence smarter use of information. This will place Australia at the forefront of developments in business process management: a crucial technology in today's global, dynamic and heterogeneous environments.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
Unravelling Leadership Development: Evaluating outcomes, contrasting interventions, and exploring processes. This project investigates how leadership development interventions translate into effective outcomes for organizations. We compare how distinct interventions (transformational leadership vs. 360 degree feedback) and different modes of delivery (face-to-face vs. videoconferencing) lead to change in leader behavior. We investigate the cognitive/motivational mechanisms (e.g., self-efficacy, ....Unravelling Leadership Development: Evaluating outcomes, contrasting interventions, and exploring processes. This project investigates how leadership development interventions translate into effective outcomes for organizations. We compare how distinct interventions (transformational leadership vs. 360 degree feedback) and different modes of delivery (face-to-face vs. videoconferencing) lead to change in leader behavior. We investigate the cognitive/motivational mechanisms (e.g., self-efficacy, perspective-taking) by which these interventions affect leader behavior, as well as the multilevel processes by which change in leader behavior affects team performance and team well-being. The project will provide a more accurate assessment on the return of investment in leadership development, as well as guidance for enhancing the effectiveness of leadership development programs.
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Real-time and self-adaptive stream data analyser for intensive care management. The clinical benefit of this project will be in improved success rates and reduced mortality and risk in surgery and intensive care units. The Information and communication technology (ICT) benefit of this project is associated with the novel online algorithms and models aligned with the stream data research, and will be enhanced by our stream compression techniques. The stream data analyser developed in this projec ....Real-time and self-adaptive stream data analyser for intensive care management. The clinical benefit of this project will be in improved success rates and reduced mortality and risk in surgery and intensive care units. The Information and communication technology (ICT) benefit of this project is associated with the novel online algorithms and models aligned with the stream data research, and will be enhanced by our stream compression techniques. The stream data analyser developed in this project will be suitable for more than medical surveillance data; it will also improve the processing of other kinds of massive stream data (for example data from remote sensors, communication networks and other dynamic environments). The project involves a scientifically rich collaboration that will enhance the skills of PhD students and staff and drive the field forward.Read moreRead less
Benchmarking Information Technology Impact in Organisations. Anecdotal evidence reveals dissatisfaction with the operational performance of large application software systems. Yet, Australian IT investments are seldom systematically evaluated post-implementation. Where post-implementation evaluation does occur, the process and measures are typically idiosyncratic and lacking credibility. The study will: yield a convenient, extensively-validated method for evaluating the impact of IT investments; ....Benchmarking Information Technology Impact in Organisations. Anecdotal evidence reveals dissatisfaction with the operational performance of large application software systems. Yet, Australian IT investments are seldom systematically evaluated post-implementation. Where post-implementation evaluation does occur, the process and measures are typically idiosyncratic and lacking credibility. The study will: yield a convenient, extensively-validated method for evaluating the impact of IT investments; establish comparable IT-Impact benchmarks across different sectors of interest to organisations and Government; and facilitate the education and research training of graduate research students well grounded in IT Evaluation methods, and well placed to advance industry expertise in this area.Read moreRead less
Real-time Event Detection, Prediction, and Visualization for Emergency Response. This project proposes novel end-to-end methods for real-time recognition and prediction of real-world events, leading to timely response to emergencies such as disease outbreaks and natural disasters, as well as prevention of crime, security breaches and the like. It will develop new techniques to quickly detect and predict events by incorporating adaptive learning and probabilistic models, and address fusion and sc ....Real-time Event Detection, Prediction, and Visualization for Emergency Response. This project proposes novel end-to-end methods for real-time recognition and prediction of real-world events, leading to timely response to emergencies such as disease outbreaks and natural disasters, as well as prevention of crime, security breaches and the like. It will develop new techniques to quickly detect and predict events by incorporating adaptive learning and probabilistic models, and address fusion and scalability factors to handle vast collections of heterogeneous data. An event surveillance system prototype will be developed to incorporate the findings of the research with tools to visualise and describe events.Read moreRead less
Monitoring social events for user online behaviour analytics. This project aims to investigate the influence of public attention on steering user online behaviour. The exponential growth of online behaviour data makes online behaviour analytics increasingly important in social, commercial and political environments, but existing methods rely on user profiles only. The project will unify external social events with user profiles for behaviour analytics, and develop approaches for event database i ....Monitoring social events for user online behaviour analytics. This project aims to investigate the influence of public attention on steering user online behaviour. The exponential growth of online behaviour data makes online behaviour analytics increasingly important in social, commercial and political environments, but existing methods rely on user profiles only. The project will unify external social events with user profiles for behaviour analytics, and develop approaches for event database indexing, event-influenced behaviour modelling and prediction. The success of this project is expected to enhance users’ online experience and improve e-commerce’s market value.Read moreRead less
Taming the uncertainty in trajectory data. This project aims to develop effective and efficient methods to manage large scale uncertain trajectory data. It provides individuals, business, government and social groups the ability to explore significant uncertain trajectories and their patterns, for important usages in location based services, logistic, transportation and tourism.
Deep attribute-aware hashing for cross retrieval. This project aims to enable individuals, industries and governments, to freely access vital and linked information carried in different media types from different sources by developing a deep attribute-aware framework that embeds heterogeneous features into a shared data space to achieve effective and efficient cross system information retrieval. With the proliferation of heterogeneous data sources, there is an urgent need to enable search and re ....Deep attribute-aware hashing for cross retrieval. This project aims to enable individuals, industries and governments, to freely access vital and linked information carried in different media types from different sources by developing a deep attribute-aware framework that embeds heterogeneous features into a shared data space to achieve effective and efficient cross system information retrieval. With the proliferation of heterogeneous data sources, there is an urgent need to enable search and retrieval across different media types and domains. The framework developed by the project uses deep learning methods to develop meaningful image attributes to positively bridge the modality gap and the domain gap when hash functions are affixed to data. This project will significantly advance the research of multimedia retrieval, and benefit a series of related research problems whenever heterogeneous multimedia data are involved in their applications.Read moreRead less