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
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
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
Portable biosensor for rapid detection of viral contamination in food . The objective of this project is to create a miniaturised and cost-effective electrochemical biosensor device that can detect multiple pathogens, simultaneously, even at very low level of concentrations. This device will be crucial for rapidly detect pathogen contamination in food and water to monitor their safety and quality, particularly beneficial in an outbreak or natural disaster for testing these resources. In additio ....Portable biosensor for rapid detection of viral contamination in food . The objective of this project is to create a miniaturised and cost-effective electrochemical biosensor device that can detect multiple pathogens, simultaneously, even at very low level of concentrations. This device will be crucial for rapidly detect pathogen contamination in food and water to monitor their safety and quality, particularly beneficial in an outbreak or natural disaster for testing these resources. In addition to food and water, the successful development of this versatile cost-effective sensor will benefit a wide range of companies such as pharmaceuticals, medical device manufacturing and farms for controlling product quality where detection of life threatening pathogens is pivotal to prevent risk for consumers.Read moreRead less
Flexible and Printable Sensors for Early Detection of Food Spoilage . This project aims to develop a technological platform for the fabrication of flexible sensors that enable the detection of food spoilage and life threatening microbial contamination. By engineering stimuli-responsive inks, colorimetric, chemiresistive, and impedimetric sensor arrays will be printed on flexible plastics and paper substrates. The printed sensor arrays will respond to gases and volatile compounds generated from f ....Flexible and Printable Sensors for Early Detection of Food Spoilage . This project aims to develop a technological platform for the fabrication of flexible sensors that enable the detection of food spoilage and life threatening microbial contamination. By engineering stimuli-responsive inks, colorimetric, chemiresistive, and impedimetric sensor arrays will be printed on flexible plastics and paper substrates. The printed sensor arrays will respond to gases and volatile compounds generated from food deterioration and spoilage, microbial pathogen, temperature and pH by a change in their colour or electrical properties, hence providing real-time measurements. The project will enable to design efficient data-driven decision making tools along the supply chain to enhance food safety and reduce food waste. Read moreRead less
Maximising the value of Australia’s sheepmeat industry with smart photonics. This project aims to investigate new photonics technologies to measure meat quality in lamb and mutton. It expects to develop new knowledge in the areas of fibre optics and 3D printing for use by the red meat and livestock industries. Expected outcomes of this project include development of a new technology to rapidly identify premium meat during meat processing. This should provide significant benefits for Australia’s ....Maximising the value of Australia’s sheepmeat industry with smart photonics. This project aims to investigate new photonics technologies to measure meat quality in lamb and mutton. It expects to develop new knowledge in the areas of fibre optics and 3D printing for use by the red meat and livestock industries. Expected outcomes of this project include development of a new technology to rapidly identify premium meat during meat processing. This should provide significant benefits for Australia’s red meat industry, helping to establish Australia as a leading supplier of high-quality meat to domestic and international markets.Read moreRead less
Context and Activity Recognition for Personalised Behaviour Recommendation. The Internet of Things (IoT) together with the rising popularity of smartphones opens a new world for many exciting opportunities. The overall goal of this project is to develop new algorithms and data analytical techniques in an IoT environment that can accurately monitor and analyse personalised daily activities on a continuous, real-time basis. The expected result of this project will support many critical application ....Context and Activity Recognition for Personalised Behaviour Recommendation. The Internet of Things (IoT) together with the rising popularity of smartphones opens a new world for many exciting opportunities. The overall goal of this project is to develop new algorithms and data analytical techniques in an IoT environment that can accurately monitor and analyse personalised daily activities on a continuous, real-time basis. The expected result of this project will support many critical applications such as better wellness tracking and lifestyle-related illness prevention, which will be particularly critical to Australia's aging population. This project will also serve as a vehicle to educate and train Australia’s young scholars and engineers.Read moreRead less
Knowledge discovery and recommendation of multimedia data in healthcare. The project aims to develop tools to abstract/streamline the ever-growing information-rich multimedia contents into easily discoverable knowledges. Advanced multimedia knowledge graph will be first time developed to accurately exploit hidden knowledge for health industry, and served to generate right information recommendation for healthcare professionals (HCP) at the right time. The proposed technology will improve HCPs' c ....Knowledge discovery and recommendation of multimedia data in healthcare. The project aims to develop tools to abstract/streamline the ever-growing information-rich multimedia contents into easily discoverable knowledges. Advanced multimedia knowledge graph will be first time developed to accurately exploit hidden knowledge for health industry, and served to generate right information recommendation for healthcare professionals (HCP) at the right time. The proposed technology will improve HCPs' communication, keep them up to date, and enhance their speedy reaction to constantly changing situations/diseases, thus reducing poor patient outcomes and unnecessary hospital costs. It will make significant impact to a range of industries, e.g. healthcare, where personalised professional recommendation is demanded.Read moreRead less