Industrial Transformation Research Hubs - Grant ID: IH230100006
Funder
Australian Research Council
Funding Amount
$4,933,330.00
Summary
ARC Research Hub for Engineering Plants to Replace Fossil Carbon . This Hub aims to develop new plant varieties that enable sustainable production of sugars from crop ‘waste’ (plant biomass) as a base for renewable carbon products. Only now possible through emerging technologies, the Hub expects to translate extensive foundational research and world-leading expertise into cost-effective sustainable aviation fuel. Anticipated outcomes include diversified cropping opportunities for agricultural pr ....ARC Research Hub for Engineering Plants to Replace Fossil Carbon . This Hub aims to develop new plant varieties that enable sustainable production of sugars from crop ‘waste’ (plant biomass) as a base for renewable carbon products. Only now possible through emerging technologies, the Hub expects to translate extensive foundational research and world-leading expertise into cost-effective sustainable aviation fuel. Anticipated outcomes include diversified cropping opportunities for agricultural producers and new industries to convert the biomass to high-volume renewable products. The expected benefits include a decarbonised pathway for Australia’s critical flight, freight and defence connections to world and the substantial economic returns and job creation from new manufacturing capacity in Australia.Read moreRead less
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
Industrial Transformation Training Centres - Grant ID: IC210100023
Funder
Australian Research Council
Funding Amount
$4,943,949.00
Summary
ARC Training Centre in Bioplastics and Biocomposites. There is unprecedented growth in demand for bioderived and biodegradable materials. This Training Centre in Bioplastics and Biocomposites will capitalise on Australia’s abundance of the requisite natural bioresources to drive advances in technology for the development of bioplastic and biocomposite products for the new bioeconomy. The aim is to deliver leading edge research with a holistic focus on technical, social, policy and end of life so ....ARC Training Centre in Bioplastics and Biocomposites. There is unprecedented growth in demand for bioderived and biodegradable materials. This Training Centre in Bioplastics and Biocomposites will capitalise on Australia’s abundance of the requisite natural bioresources to drive advances in technology for the development of bioplastic and biocomposite products for the new bioeconomy. The aim is to deliver leading edge research with a holistic focus on technical, social, policy and end of life solutions, training a cohort of industry ready research specialists to underpin Australia’s transition to a globally significant bioplastics and biocomposites industry, while at the same time laying the foundations for accelerated growth in this space.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
Biosolid flow, separation and activity in anaerobic lagoons. This project aims to develop a fundamental model of the complex, non-steady state flow behaviour in anaerobic lagoons. The project will develop new operating procedures and designs for large municipal, industrial and agricultural anaerobic lagoons. This will improve the efficiency of anaerobic digestion and reduce wastewater treatment costs, as well as increase renewable and sustainable biogas production. The intended outcome is a va ....Biosolid flow, separation and activity in anaerobic lagoons. This project aims to develop a fundamental model of the complex, non-steady state flow behaviour in anaerobic lagoons. The project will develop new operating procedures and designs for large municipal, industrial and agricultural anaerobic lagoons. This will improve the efficiency of anaerobic digestion and reduce wastewater treatment costs, as well as increase renewable and sustainable biogas production. The intended outcome is a validated 3D model that captures the physical and biological complexities of anaerobic lagoons. This will impact the design and operation of partner organisation lagoons, reducing capital and operating costs and improving biogas production.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
Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinicia ....Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinician to reduce fetal deaths and enhance the chances of good outcomes with resultant savings in social and financial costs to the community. The development of such equipment would spawn future research into intervention treatments and contribute to Australia's position as a world leader in computerised health monitoring systems.Read moreRead less
ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this te ....ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this team with the foremost international authorities and leading industry players in the area of sensor networks. This research network will guide collaborative research that will ensure Australia to play a world leading role in sensor network development and implementation.
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Novel concepts for bioelectrochemical generation of renewable fuels and chemicals from wastewater. Global warming and the diminishing fossil fuel resources are posing an ever increasing threat to our societies and economies. This project aims to develop novel and highly innovative bioelectrochemical processes for the production of valuable fuels and chemicals from wastewater, which is a largely untapped renewable resource.