Nanoengineered, Encapsulated Catalysts from Fly Ash Waste. This project aims to deliver advanced catalysts and novel catalyst synthesis methods from the use of iron-rich fly ash, an otherwise abundant valueless waste with projected steady growth across Australia and globally. The as-synthesised catalysts are expected to be applicable to and exhibit excellent activity in the production of green hydrogen and renewable bio-fuels from lignocellulosic waste. These efforts are significant and benefici ....Nanoengineered, Encapsulated Catalysts from Fly Ash Waste. This project aims to deliver advanced catalysts and novel catalyst synthesis methods from the use of iron-rich fly ash, an otherwise abundant valueless waste with projected steady growth across Australia and globally. The as-synthesised catalysts are expected to be applicable to and exhibit excellent activity in the production of green hydrogen and renewable bio-fuels from lignocellulosic waste. These efforts are significant and beneficial in restoring the manufacturing capability of Australian industry, driving Australian industry towards the development of a circular economy for the appropriate management of solid waste, as well as for a seamless introduction of renewable and clean energy sources to address the pressing climate change.Read moreRead less
Combustion Modelling and Control for Biomass Fuelled Boilers . This Project aims to improve the operation of bio-fuelled boilers in the sugar industry by using novel approaches to modelling and control of the combustion process. In the sugar industry, sugarcane residue is used as biofuel for boilers. The steam from the boilers is used to crystallise sugar and generate electricity, which is used to power machinery and is also exported to the grid. However, due to poor fuel consistency and poor c ....Combustion Modelling and Control for Biomass Fuelled Boilers . This Project aims to improve the operation of bio-fuelled boilers in the sugar industry by using novel approaches to modelling and control of the combustion process. In the sugar industry, sugarcane residue is used as biofuel for boilers. The steam from the boilers is used to crystallise sugar and generate electricity, which is used to power machinery and is also exported to the grid. However, due to poor fuel consistency and poor combustion conditions, critical problems arise that hinder production. Expected outcomes include: improved sugar production, safer operation of boilers, reduced downtime, and better electricity co-generation.
This will provide significant benefits to sugar manufacturing and biofuel energy generation in AustraliaRead moreRead less
In-situ catalytic upgrading of bio-oil using scrap tyre char. This project aims to develop advanced, cost-competitive catalysts based on scrap tyre char, an otherwise low-value by-product. These catalysts will be optimised for use in upgrading bio-oil derived from the pyrolysis of woody eucalyptus, an abundant biomass resource across Australia. The project is expected to promote the commercialisation of bio-oil production and enhance the valorisation of scrap tyre char. This is expected to reduc ....In-situ catalytic upgrading of bio-oil using scrap tyre char. This project aims to develop advanced, cost-competitive catalysts based on scrap tyre char, an otherwise low-value by-product. These catalysts will be optimised for use in upgrading bio-oil derived from the pyrolysis of woody eucalyptus, an abundant biomass resource across Australia. The project is expected to promote the commercialisation of bio-oil production and enhance the valorisation of scrap tyre char. This is expected to reduce the carbon footprint from Australian industry, and promote the recycling and reuse of waste scrap tyres.Read moreRead less
Purification and bioactivity of legume protein as nutritional supplements . Lupin seed is a major Australian high protein legume crop, undervalued at only ~$200 tonne due to its use as an animal feed. However this project aims to add value to the crop by designing a scalable food-grade and commercialisable technology to purify the protein gamma-conglutin from lupin seed waste as a nutraceutical for human blood glucose control. The process optimisation and mechanism of action for gamma-congluti ....Purification and bioactivity of legume protein as nutritional supplements . Lupin seed is a major Australian high protein legume crop, undervalued at only ~$200 tonne due to its use as an animal feed. However this project aims to add value to the crop by designing a scalable food-grade and commercialisable technology to purify the protein gamma-conglutin from lupin seed waste as a nutraceutical for human blood glucose control. The process optimisation and mechanism of action for gamma-conglutin will be informed by proteomic analysis and cellular studies. From the project farmers may benefit through adding a premium to their crop value, a new gamma-conglutin purification technology will be available for processors to commercialise and consumers will have a natural product to help their blood glucose control.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
Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing ....Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing the human contact with animals are of high priority in the development of this Australian-led emerging industry. The project aims to develop technology to bring this world- first aquaculture factory to large scale production, and create new export opportunities for lobsters and production systems.Read moreRead less
Biochemical text mining for advancing chemical and pharmaceutical knowledge. The project aims to develop novel natural language processing methods to find, extract and structure complex chemical reaction information in scientific literature. The project addresses a recognised bottleneck to efficiency in the drug discovery process, by enabling biochemical research results to be turned into actionable information. This has the potential to inform and accelerate development of effective drug treatm ....Biochemical text mining for advancing chemical and pharmaceutical knowledge. The project aims to develop novel natural language processing methods to find, extract and structure complex chemical reaction information in scientific literature. The project addresses a recognised bottleneck to efficiency in the drug discovery process, by enabling biochemical research results to be turned into actionable information. This has the potential to inform and accelerate development of effective drug treatments through the linking of relevant biochemical information. By delivering new methods that improve the compilation of knowledge about chemicals and drugs from textual information resources, the project hopes to enable faster drug discovery.Read moreRead less
Deep mining neurological abnormalities from brain signal data. This project aims to develop a reliable, robust and real-time analysis system for automatic and accurate detection of neurological abnormalities, and the prediction of impending neurological problems from brain signal data. The project expects to design novel algorithms for brain signal processing, data compression, and detection and prediction of neurological abnormalities from massive brain signal data. The project will lead to sig ....Deep mining neurological abnormalities from brain signal data. This project aims to develop a reliable, robust and real-time analysis system for automatic and accurate detection of neurological abnormalities, and the prediction of impending neurological problems from brain signal data. The project expects to design novel algorithms for brain signal processing, data compression, and detection and prediction of neurological abnormalities from massive brain signal data. The project will lead to significant improvement of existing methods in health monitoring applications in Australia and worldwide and hence will save lives, money and resources.Read moreRead less
Dialogue-to-Action:Towards A Self-Evolving Enterprise Intelligent Assistant. The project aims to develop a novel Self-Evolving Enterprise Intelligent Assistant (EIA) by leveraging the Chatbot-based dialogue technique to acquire information, infer user intentions, understand languages, and determine subsequent actions to take through Dialogue-to-Action modelling. This new generation EIA is equipped with Artificial Generalised Intelligence, with a broad skill set able to tackle multiple business t ....Dialogue-to-Action:Towards A Self-Evolving Enterprise Intelligent Assistant. The project aims to develop a novel Self-Evolving Enterprise Intelligent Assistant (EIA) by leveraging the Chatbot-based dialogue technique to acquire information, infer user intentions, understand languages, and determine subsequent actions to take through Dialogue-to-Action modelling. This new generation EIA is equipped with Artificial Generalised Intelligence, with a broad skill set able to tackle multiple business tasks and handle fast-changing scenarios in business. The Self-Evolving EIA is a critical step on the path towards the future generation of EIA. Expected outcomes of this project are to develop adaptive EIA for Small and Medium Enterprise to improve their customer service quality.Read moreRead less