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
Developing an effective defence to cyber-reputation manipulation attacks. This project will develop new technologies for businesses to accurately identify fake internet reviews. Fake reviews, paid for and/or written with malicious intent, can cause irreparable damage to businesses resulting in revenue loss, consumer dissatisfaction or even closure of businesses. However they are difficult to identify, as they continuously evolve to avoid detection and the volume of Internet reviews makes analysi ....Developing an effective defence to cyber-reputation manipulation attacks. This project will develop new technologies for businesses to accurately identify fake internet reviews. Fake reviews, paid for and/or written with malicious intent, can cause irreparable damage to businesses resulting in revenue loss, consumer dissatisfaction or even closure of businesses. However they are difficult to identify, as they continuously evolve to avoid detection and the volume of Internet reviews makes analysis a monumental task. This project will provide advanced tools to detect fake website reviews and a cybersecurity system prototype ready to be used by industry, making Australia a leader in this field and resulting in a safer internet environment for all.Read moreRead less
High-value functional ingredients from bean processing waste. Legumes are considered highly nutritious and sustainable food. Accordingly, there is a steady growth in the consumption of legumes worldwide, including in Australia. Due to lengthy soaking and cooking times, consumers prefer ready-to-eat canned legumes. The current processing technologies are energy and water-intensive and generate considerable waste. This project investigates the application of non-thermal technologies to reduce pro ....High-value functional ingredients from bean processing waste. Legumes are considered highly nutritious and sustainable food. Accordingly, there is a steady growth in the consumption of legumes worldwide, including in Australia. Due to lengthy soaking and cooking times, consumers prefer ready-to-eat canned legumes. The current processing technologies are energy and water-intensive and generate considerable waste. This project investigates the application of non-thermal technologies to reduce processing time, water and energy use and enable the recovery of valuable polyphenols and soluble dietary fibres normally lost in the wastewater. This knowledge will lead to sustainable beans processing, delivering improved productivity to Australian manufacturers and quality food to Australian consumers.Read moreRead less
New digital deep-time exploration tools for a low-emissions economy. Demand for critical minerals will soar as renewable energy generation increases, but exploration companies currently cannot take full advantage of available exploration data in an Earth evolution context. This project will generate new knowledge in big and complex geodata analysis using an innovative data mining approach. It will enable Lithodat, a small enterprise, to perform cloud-based plate tectonic reconstruction, visualis ....New digital deep-time exploration tools for a low-emissions economy. Demand for critical minerals will soar as renewable energy generation increases, but exploration companies currently cannot take full advantage of available exploration data in an Earth evolution context. This project will generate new knowledge in big and complex geodata analysis using an innovative data mining approach. It will enable Lithodat, a small enterprise, to perform cloud-based plate tectonic reconstruction, visualisation and spatio-temporal analysis of geodata for resource exploration. The outcomes include an enhanced capacity to generate ore prospectivity maps and an improved understanding of their tectonic, geochemical, and geophysical signatures, benefiting Lithodat and their clients in the search for new mineral deposits.Read moreRead less
Creating a sustainable, healthy, and equitable food system. This project aims to develop a whole-of-food system approach that will result in a more healthy, sustainable, and equitable food environment. A multi-disciplinary approach, based on the US Vermont Farm to Plate initiative, will bring together key stakeholders to collectively increase availability and access to locally sourced food, increase consumer awareness of sustainable food choices, accompanied with a retail “Love Local” campaign. ....Creating a sustainable, healthy, and equitable food system. This project aims to develop a whole-of-food system approach that will result in a more healthy, sustainable, and equitable food environment. A multi-disciplinary approach, based on the US Vermont Farm to Plate initiative, will bring together key stakeholders to collectively increase availability and access to locally sourced food, increase consumer awareness of sustainable food choices, accompanied with a retail “Love Local” campaign. Knowledge created by this research will inform policy and legislative reforms that will empower local governments and communities to respond to food system challenges. This case study in regional NSW will demonstrate the effectiveness of a framework that can be upscaled to other areas and countries.Read moreRead less
Incorporation of legume protein in liquid breakfast for a healthy Australia. This project aims to understand and control the properties and interactions of legume protein with other ingredients (e.g. whey protein and dietary fibre) to formulate healthy liquid foods with superior techno-functionality. This research should significantly broaden our understanding of the behaviour of legume protein-phospholipid complexes and their contribution to malodorous flavour development. The expected outcomes ....Incorporation of legume protein in liquid breakfast for a healthy Australia. This project aims to understand and control the properties and interactions of legume protein with other ingredients (e.g. whey protein and dietary fibre) to formulate healthy liquid foods with superior techno-functionality. This research should significantly broaden our understanding of the behaviour of legume protein-phospholipid complexes and their contribution to malodorous flavour development. The expected outcomes are protocols to prevent undesirable sensory characteristics in liquid foods. This should benefit the food industry by improving the sensory attributes of beverages enriched with legume protein, leading to the creation of novel, highly nutritious products with superior sensory attributes and long shelf-life.Read moreRead less
Intelligent bioprocessing for next-generation nutritional yeast extracts. This project aims to provide new, science-based levers for optimising the industrial production of tailormade yeast extracts for food applications. Advanced biochemical and engineering methods will be used to develop new knowledge of the links between yeast growth conditions, cell biochemistry, processing and the flavour and texture profiles of yeast hydrolysates. This understanding will allow the properties of yeast hydro ....Intelligent bioprocessing for next-generation nutritional yeast extracts. This project aims to provide new, science-based levers for optimising the industrial production of tailormade yeast extracts for food applications. Advanced biochemical and engineering methods will be used to develop new knowledge of the links between yeast growth conditions, cell biochemistry, processing and the flavour and texture profiles of yeast hydrolysates. This understanding will allow the properties of yeast hydrolysates to be accurately tuned during yeast production and processing. The resulting process improvements and innovations will increase the efficiency and quality of current yeast extract products and allow the development of new food products.Read moreRead less
Engineering improved fat encapsulation for food powders. Encapsulation of fats and oils into powders has wide applications in the food industry, with products including creamers, soups, infant formula, and nutraceutical powders. Spray drying of liquid emulsions into powders is an integral part to manufacture high value products by extending their shelf life, nutritional content, and functionality. This project will generate new protocols for the production of high-fat powders, with direct commer ....Engineering improved fat encapsulation for food powders. Encapsulation of fats and oils into powders has wide applications in the food industry, with products including creamers, soups, infant formula, and nutraceutical powders. Spray drying of liquid emulsions into powders is an integral part to manufacture high value products by extending their shelf life, nutritional content, and functionality. This project will generate new protocols for the production of high-fat powders, with direct commercial benefits in improved production efficiency and new product development from recovered ingredients. The knowledge will benefit the manufacturing of food powders in Australia, currently valued around $600M AUD pa, and will potentially expand the variety of product offering for the export market.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