Towards Engineering Behavioural Research Design Systems. Behavioural research is a significant component of the annual spend in Australia on research and development. It is contended that 'best practice' behavioural research methods can be more systematised, transparent and visible; facilitating more complex, integrated and holistic research designs; and thereby, more cumulative and comparable results; thus enabling increased rigor, higher productivity and lower risk than have generally been the ....Towards Engineering Behavioural Research Design Systems. Behavioural research is a significant component of the annual spend in Australia on research and development. It is contended that 'best practice' behavioural research methods can be more systematised, transparent and visible; facilitating more complex, integrated and holistic research designs; and thereby, more cumulative and comparable results; thus enabling increased rigor, higher productivity and lower risk than have generally been the experience historically. This project proposes the formal conceptualisation and modelling of behavioural science research methods, by adapting them to the research design, the well understood concepts, tools and techniques of Information Systems design. Results are expected to form the conceptual basis of 'Research Design Systems.'Read moreRead less
A framework for scalable ontology enrichment and change. This project aims to develop novel techniques and software systems for constructing a new generation of knowledge management applications. The results will improve current information management technologies and will be used in practical applications such as the semantic web, bioinformatics and e-sciences.
Business process decomposition. This project will develop guidelines to assist analysts in managing complex business processes by decomposing them into more manageable processes. The project outcomes will make it easier to make informed decisions about process re-design, business innovation or software development, thus contributing to project cost savings.
Secure Electronic Voting with Flexible Ballot Structure. It is inevitable that electronic voting will eventually replace current paper based voting schemes. Despite considerable research no secure solution is available for an electronic voting scheme allowing complex election rules, such as preferential voting used in Australia. The main outcome of the research will be the fundamental knowledge required to develop general secure and flexible electronic voting schemes. The security aspects of the ....Secure Electronic Voting with Flexible Ballot Structure. It is inevitable that electronic voting will eventually replace current paper based voting schemes. Despite considerable research no secure solution is available for an electronic voting scheme allowing complex election rules, such as preferential voting used in Australia. The main outcome of the research will be the fundamental knowledge required to develop general secure and flexible electronic voting schemes. The security aspects of the design will be thoroughly analysed to ensure that the integrity of the ballot is maintained without compromising user privacy. The practical aspects of implementing such a system will also be investigated and a prototype implementaion provided.Read moreRead less
Specifications, Proofs and Animations for Cryptographic Protocols. Cryptographic protocols are fundamental security tools for electronic communications. Despite years of intensive research it remains difficult to obtain high confidence in the security of almost any new protocol. Research in the computer security community has emphasised formal specifications and state based searching, while the cryptographic community has concentrated instead on complexity theoretic proofs. This project will un ....Specifications, Proofs and Animations for Cryptographic Protocols. Cryptographic protocols are fundamental security tools for electronic communications. Despite years of intensive research it remains difficult to obtain high confidence in the security of almost any new protocol. Research in the computer security community has emphasised formal specifications and state based searching, while the cryptographic community has concentrated instead on complexity theoretic proofs. This project will unify these two approaches for the first time by formally specifying and animating the very models used in cryptographic proofs. The result will be proofs that are uniquely accessible to practioners combined with increased confidence that the proofs are both correct and relevant.Read moreRead less
Governance of Agile Software Development Projects. The aim of the project is to generate theoretical knowledge on how to govern agile teams effectively. Effective governance of software development projects is essential for companies to protect their information technology investments. Nowadays, companies have migrated to agile software development where requirements and solutions evolve iteratively and change frequently; yet formal approaches to governance (eg steering committee and detailed pl ....Governance of Agile Software Development Projects. The aim of the project is to generate theoretical knowledge on how to govern agile teams effectively. Effective governance of software development projects is essential for companies to protect their information technology investments. Nowadays, companies have migrated to agile software development where requirements and solutions evolve iteratively and change frequently; yet formal approaches to governance (eg steering committee and detailed plans) are ineffective and impede flexibility, agility and creativity. This project aims to identify informal governance approaches for agile projects based on team embeddedness and network theory. With this knowledge, management could ensure projects deliver value at an acceptable cost, quality and timescale.Read moreRead less
Managing data with high redundancy and low value density. This project aims to develop a database for data storage, cleaning, compression, hierarchal summarisation, indexing and query processing for machination data.Database management systems are needed to support stream query processing and manage historical data to support complex data analytics, data mining and data-driven decision making. Machination data, often found in sensor networks, GPS and RFID applications, vehicle on-board devices a ....Managing data with high redundancy and low value density. This project aims to develop a database for data storage, cleaning, compression, hierarchal summarisation, indexing and query processing for machination data.Database management systems are needed to support stream query processing and manage historical data to support complex data analytics, data mining and data-driven decision making. Machination data, often found in sensor networks, GPS and RFID applications, vehicle on-board devices and medical monitoring devices are difficult to manage and process because of large volumes and streaming, high redundancy and low value density. This project is expected to stream machination data management to support scalable query processing and data analytics.Read moreRead less
Advanced Mixture Models for the Analysis of Modern-Day Data. Extracting key information from huge data sets is critical to the scientific successes of the future. This project will develop novel mixture models that can be used directly to analyse complex and high-dimensional data sets that may consist of thousands of variables observed on only a limited number of entities. In order to handle the challenging problems arising in the latter situation. This project develops mixtures of factor models ....Advanced Mixture Models for the Analysis of Modern-Day Data. Extracting key information from huge data sets is critical to the scientific successes of the future. This project will develop novel mixture models that can be used directly to analyse complex and high-dimensional data sets that may consist of thousands of variables observed on only a limited number of entities. In order to handle the challenging problems arising in the latter situation. This project develops mixtures of factor models with options for skew distributions that can be used to effectively analyse such data. Key applications include the domains of bioinformatics, biostatistics, business, data mining, economics, finance, image analysis, marketing, and personalised medicine, among many others.Read moreRead less
Joint clustering and matching of multivariate samples across objects. The project will provide a novel and very effective approach to the clustering of multivariate samples on objects, say patients, that automatically matches the sample clusters across the objects. A key application is the matching of biologically relevant cell subtypes across patients for use in the study and the clinical diagnosis and prognosis of cancer.
Expanding the role of mixture models in statistical analyses of big data. This project aims to develop theoretical procedures to scale inference and learning algorithms to analyse big data sets. It will develop analytic tools and algorithms to analyse big data sets which classical methods of inference cannot analyse directly due to the data’s complexity or size. This will accelerate the progress of scientific discovery and innovation, leading, for example, to new fields of inquiry; to an increas ....Expanding the role of mixture models in statistical analyses of big data. This project aims to develop theoretical procedures to scale inference and learning algorithms to analyse big data sets. It will develop analytic tools and algorithms to analyse big data sets which classical methods of inference cannot analyse directly due to the data’s complexity or size. This will accelerate the progress of scientific discovery and innovation, leading, for example, to new fields of inquiry; to an increase in understanding from studies on human and social processes and interactions; and to the promotion of economic growth and improved health and quality of life. Such applications should lead to breakthrough discoveries and innovation in science, engineering, medicine, commerce, education and national security.Read moreRead less