Industrial Transformation Research Hubs - Grant ID: IH120100005
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
Dairy Innovation Hub: transformational research to underpin the future of the Australian dairy manufacturing industry. Dairy Innovation Hub: transformational research to underpin the future of the Australian dairy manufacturing industry. The University of Melbourne, The University of Queensland and Dairy Innovation Australia will join in this Research Hub to address significant technical challenges facing the dairy manufacturing industry. The Research Hub will develop transformational processing ....Dairy Innovation Hub: transformational research to underpin the future of the Australian dairy manufacturing industry. Dairy Innovation Hub: transformational research to underpin the future of the Australian dairy manufacturing industry. The University of Melbourne, The University of Queensland and Dairy Innovation Australia will join in this Research Hub to address significant technical challenges facing the dairy manufacturing industry. The Research Hub will develop transformational processing technologies and innovative products to enhance productivity, growth and sustainability.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC140100027
Funder
Australian Research Council
Funding Amount
$2,150,000.00
Summary
ARC Training Centre for Functional Grains. ARC Training Centre for Functional Grains. The Training Centre aims to improve the profitability of the Australian grains industry. It plans to achieve this by adding value to rice, canola and pulses through: the development of a better understanding of market opportunities; improving storage technologies; the development of products which improve returns to the industry and result in better health outcomes for consumers; and improving processing method ....ARC Training Centre for Functional Grains. ARC Training Centre for Functional Grains. The Training Centre aims to improve the profitability of the Australian grains industry. It plans to achieve this by adding value to rice, canola and pulses through: the development of a better understanding of market opportunities; improving storage technologies; the development of products which improve returns to the industry and result in better health outcomes for consumers; and improving processing methods to generate these products.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
Industrial Transformation Training Centres - Grant ID: IC180100045
Funder
Australian Research Council
Funding Amount
$3,582,638.00
Summary
ARC Training Centre for Uniquely Australian Foods. The ARC Training Centre for Uniquely Australian Foods aims to provide a cohort of trained and industry-ready researchers who can lead the native foods industry forward. It plans to transform the native food and agribusiness sector, through the development of selected crops, foods and ingredients. The Centre will use an Indigenous governance group to oversee the process of converting traditional knowledge into branded products. Expected outcomes ....ARC Training Centre for Uniquely Australian Foods. The ARC Training Centre for Uniquely Australian Foods aims to provide a cohort of trained and industry-ready researchers who can lead the native foods industry forward. It plans to transform the native food and agribusiness sector, through the development of selected crops, foods and ingredients. The Centre will use an Indigenous governance group to oversee the process of converting traditional knowledge into branded products. Expected outcomes include technical information to support branding and market development, best practice development in social factors and legal arrangements for benefit sharing. This Centre will help drive sustainable growth of high-value products within the premium Australian food sector.
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Industrial Transformation Training Centres - Grant ID: IC160100025
Funder
Australian Research Council
Funding Amount
$2,259,000.00
Summary
ARC Training Centre in Food Safety in the Fresh Produce Industry. ARC Training Centre in Food Safety in the Fresh Produce Industry. This centre aims to create an innovation platform of food safety researchers and industry personnel who can significantly advance the safety of fruit and vegetables in Australia. The intended outcomes are safer food, leading to enhanced health and wellbeing; industry growth in the food/agribusiness sector; enhanced trust and international reputation; and increased a ....ARC Training Centre in Food Safety in the Fresh Produce Industry. ARC Training Centre in Food Safety in the Fresh Produce Industry. This centre aims to create an innovation platform of food safety researchers and industry personnel who can significantly advance the safety of fruit and vegetables in Australia. The intended outcomes are safer food, leading to enhanced health and wellbeing; industry growth in the food/agribusiness sector; enhanced trust and international reputation; and increased access to growing export markets. Intended benefits to industry are ready-to-use technologies for strengthened food safety, and a new generation of highly-skilled food safety scientists with experience in conducting industry-focused research.Read moreRead less
Developing a smart supervisory control system for pan stage operations in sugar factories. This project aims to develop a prototype smart supervisory control system for pan stage crystallisation operations in raw sugar processing. Intelligent systems technologies will be tailored to provide a standardised approach for pan operations by using key process measurements and combining them with the collective expertise and knowledge of pan operators. This project will lead to a significant advance in ....Developing a smart supervisory control system for pan stage operations in sugar factories. This project aims to develop a prototype smart supervisory control system for pan stage crystallisation operations in raw sugar processing. Intelligent systems technologies will be tailored to provide a standardised approach for pan operations by using key process measurements and combining them with the collective expertise and knowledge of pan operators. This project will lead to a significant advance in the development of intelligent systems techniques for industrial applications and provide a better decision making strategy for pan stage operations with the benefit of reduced costs of sugar manufacture and increased profitability of the Australian sugar industry.Read moreRead less
Chemicals in compostable food contact paper packaging materials. The aim of this project is to understand the presence of persistent chemicals in recyclable and compostable food contact materials (FCMs). These types of products are destined for recycling or biowaste streams that bridge the gap from take-make-dispose and into a circular economy. Currently, the knowledge of the chemicals in these products is limited but we need to ensure that they are safe and do not unnecessarily contaminate reso ....Chemicals in compostable food contact paper packaging materials. The aim of this project is to understand the presence of persistent chemicals in recyclable and compostable food contact materials (FCMs). These types of products are destined for recycling or biowaste streams that bridge the gap from take-make-dispose and into a circular economy. Currently, the knowledge of the chemicals in these products is limited but we need to ensure that they are safe and do not unnecessarily contaminate resource recovery streams. It is expected that this project will develop a framework that could be used by industry and government to prevent chemicals of concern persisting in a circular economy, providing environmental and economic benefits through reduced risk of chemical exposure and unnecessary remediation costs.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0561231
Funder
Australian Research Council
Funding Amount
$671,715.00
Summary
MRI GRID Computing Facility: Design, Optimisation and Image Processing. The MRI Grid Computing Facility provides the IT infrastructure to achieve effective e-research in the area of magnetic resonance (MR) imaging, a field of neuroscience research that revolutionizes the way brain diseases are identified and treated. The facility consists of a dedicated high performance grid compute engine, distributed visualisation workstations, and distributed data warehouse facilities. Software tools acc ....MRI GRID Computing Facility: Design, Optimisation and Image Processing. The MRI Grid Computing Facility provides the IT infrastructure to achieve effective e-research in the area of magnetic resonance (MR) imaging, a field of neuroscience research that revolutionizes the way brain diseases are identified and treated. The facility consists of a dedicated high performance grid compute engine, distributed visualisation workstations, and distributed data warehouse facilities. Software tools accessible through the Internet will enable researchers to archive, retrieve and exchange data and software; access distributed MR image databases and the latest MR image analysis tools; schedule analysis tasks on the grid compute engine, the outcomes of which will be visualized by the visualization workstations.Read moreRead less
Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.Read moreRead less
Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it i ....Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it is not clear to the end user how reliable the results are. The outcomes intend to deliver advanced knowledge and capability in artificial intelligence and machine learning that Australia urgently needs to capitalise on bringing deep learning into practical applications delivering economic, commercial and social impact.Read moreRead less