Privacy preserving and data utility in outsourced systems. Making the best tradeoff between data privacy and utility is a vital challenge in privacy-preserving outsourcing environments. This project aims to develop a balanced distributed framework to achieve the best utility of outsourced data while protecting private information. The framework consists of general structure of distributed evolutionary algorithms and a predefined topology for high optimization efficiency and a dynamic groupin ....Privacy preserving and data utility in outsourced systems. Making the best tradeoff between data privacy and utility is a vital challenge in privacy-preserving outsourcing environments. This project aims to develop a balanced distributed framework to achieve the best utility of outsourced data while protecting private information. The framework consists of general structure of distributed evolutionary algorithms and a predefined topology for high optimization efficiency and a dynamic grouping recombination model. The project outcomes will be beneficial to applications in the nation as it incorporates new privacy constraints and utility requirements raised by emerging technologies to enable better protection of sensitive information and maximal data utility in outsourced systems. Read moreRead less
A data driven paradigm for service-oriented system engineering. This project aims to design and develop a data driven paradigm for service-oriented system engineering that allows system engineers and domain experts in different domains to build software systems easily in order to enable fast technology transfer within and across domain boundaries. This model integrates and automates a suite of efficient approaches for system structure determination, validation and recommendation based on keyword ....A data driven paradigm for service-oriented system engineering. This project aims to design and develop a data driven paradigm for service-oriented system engineering that allows system engineers and domain experts in different domains to build software systems easily in order to enable fast technology transfer within and across domain boundaries. This model integrates and automates a suite of efficient approaches for system structure determination, validation and recommendation based on keyword search, subgraph isomorphism and substructure query techniques. This project is expected to significantly accelerate the application of new technologies, for example, big data analytics and Internet of Things, in many of Australia's critical domains such as e-Health, smart cities, and cybersecurity.Read moreRead less
QualA-D: a quality aware query engine for next generation data integration systems. This project will address the growing diversity of the web/user community by developing new approaches for data integration that incorporate data quality requirements such as data currency, completeness and coverage. First-of-breed quality aware query system is expected to be developed that will assist in improving user experience and satisfaction.
Integrating electrophysiology and molecular biology to understand the role of cell membranes in bacterial responses to chill and osmotic stress. Modern food manufacture is driven by competing demands: consumers prefer foods that are 'natural', i.e. having received minimal processing and containing less preservatives, and last, but are safe. Thus, a challenge is to find minimal sets of treatments and preservatives that limit microbial growth.
Current methods to for determining limits to microbi ....Integrating electrophysiology and molecular biology to understand the role of cell membranes in bacterial responses to chill and osmotic stress. Modern food manufacture is driven by competing demands: consumers prefer foods that are 'natural', i.e. having received minimal processing and containing less preservatives, and last, but are safe. Thus, a challenge is to find minimal sets of treatments and preservatives that limit microbial growth.
Current methods to for determining limits to microbial growth are time and consuming and empirical. We will assess the potential of a new method (MIFE) to rapidly measure limits of bacterial growth under combinations of treatments. At the same time we will study how cells, and in particular how the cell membrane, responds to these stresses to provide insights for the development of new, minimal - yet safe - food preservation technologies.
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Understanding of structure development in drying droplets through the stickiness paradigm. The aims of this research are to develop a new model for multicomponent droplet drying. This model will provide predictions of conditions where composition variation exists in the drying particles. Validation of the model will be made using a novel instrument to measure the in-situ development of surface stickiness during drying. Stickiness is an important issue encountered during drying and handling of so ....Understanding of structure development in drying droplets through the stickiness paradigm. The aims of this research are to develop a new model for multicomponent droplet drying. This model will provide predictions of conditions where composition variation exists in the drying particles. Validation of the model will be made using a novel instrument to measure the in-situ development of surface stickiness during drying. Stickiness is an important issue encountered during drying and handling of some key food and consumer materials. Currently, there is no technique to measure the evolution of stickiness during drying. Key outputs will include the model, the instrument, and the development of efficient methods to generate the multicomponent data.Read moreRead less
Reputation-based Trust Framework for Composed Services. This project aims at providing a uniform and efficient framework for bootstrapping, establishing, and propagating reputation in composed Web services. Reputation is used as a key criterion for establishing trust among composed Web services. Web services are de-facto the technology of choice for the deployment of an increasing number of Web-based solutions for such emerging applications as cloud computing. Because of the distributed and dece ....Reputation-based Trust Framework for Composed Services. This project aims at providing a uniform and efficient framework for bootstrapping, establishing, and propagating reputation in composed Web services. Reputation is used as a key criterion for establishing trust among composed Web services. Web services are de-facto the technology of choice for the deployment of an increasing number of Web-based solutions for such emerging applications as cloud computing. Because of the distributed and decentralised nature of the Web, there is a need to establish a trust framework for selecting and composing Web services. The key parameter will be based on Web service reputation in delivering services.Read moreRead less
Surface Modification of Spray-Dried Powders By Surface-Active Proteins. Internal wall deposits in spray dryers lead to product degradation and pose fire hazards. This situation has limited the manufacturing of high value bio-food powders by the Australian bio-food and dairy industry, which exports 13% of the milk powder in the world. The specific economic benefits to Australia from this project arise from innovative surface modification of powder particles by proteins, development of scientific ....Surface Modification of Spray-Dried Powders By Surface-Active Proteins. Internal wall deposits in spray dryers lead to product degradation and pose fire hazards. This situation has limited the manufacturing of high value bio-food powders by the Australian bio-food and dairy industry, which exports 13% of the milk powder in the world. The specific economic benefits to Australia from this project arise from innovative surface modification of powder particles by proteins, development of scientific instruments and predictive tools based on Computational Fluid Dynamics (CFD). These outcomes will lead to production of free flowing powders from bio-food materials.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.
Self-assembly of gelling biopolymer particles. Biopolymers provide a renewable source of structuring agents for a variety of potential uses in food, pharmaceutical and other applications that require bio-compatibility. Swollen biopolymer particles of sub-millimetre size are particularly useful as they combine macroscopic structure formation with an ability to flow and a desirable soft solid texture. Two limitations to the current utilisation of biopolymer particles are that they either cannot be ....Self-assembly of gelling biopolymer particles. Biopolymers provide a renewable source of structuring agents for a variety of potential uses in food, pharmaceutical and other applications that require bio-compatibility. Swollen biopolymer particles of sub-millimetre size are particularly useful as they combine macroscopic structure formation with an ability to flow and a desirable soft solid texture. Two limitations to the current utilisation of biopolymer particles are that they either cannot be predictably produced direct from a dried form, or if they are (e.g. cooked starch granules), there is a lack of scientific understanding that limits use of natural sources without subsequent chemical modification. This project will provide the science & technology to overcome these limitations.Read moreRead less
AI-driven Effective Query Formulation for Better Systematic Reviews. This project aims to develop novel AI-based search engine methods to make the creation of systematic reviews cheaper, faster and unbiased. Systematic reviews are the cornerstone for evidence-based decisions in clinical practice and government policy making. Given the pace new research is published at, it is unsustainable to manually conduct systematic reviews in the traditional manner, taking on average 2 years and $350K and be ....AI-driven Effective Query Formulation for Better Systematic Reviews. This project aims to develop novel AI-based search engine methods to make the creation of systematic reviews cheaper, faster and unbiased. Systematic reviews are the cornerstone for evidence-based decisions in clinical practice and government policy making. Given the pace new research is published at, it is unsustainable to manually conduct systematic reviews in the traditional manner, taking on average 2 years and $350K and becoming already outdated when published. The outcomes of this project will lead to systematic reviews of higher quality, while reducing their financial and temporal costs, providing significant benefits to organisations performing reviews and their funders, and to people impacted by decisions made from the reviews.Read moreRead less