Discovery Early Career Researcher Award - Grant ID: DE230100147
Funder
Australian Research Council
Funding Amount
$437,154.00
Summary
Glassy metal-organic framework membranes for CO2 separation and conversion. This project aims to develop a new class of glassy metal-organic framework (MOF) membranes for CO2 separation and conversion. By constructing membrane reactors, it is expected to simultaneously separate CO2 from gas mixture and subsequently convert it into value-added chemicals in a continuous single operating unit. The expected outcomes include fabrication techniques for ultrathin MOF glass membranes, cutting-edge knowl ....Glassy metal-organic framework membranes for CO2 separation and conversion. This project aims to develop a new class of glassy metal-organic framework (MOF) membranes for CO2 separation and conversion. By constructing membrane reactors, it is expected to simultaneously separate CO2 from gas mixture and subsequently convert it into value-added chemicals in a continuous single operating unit. The expected outcomes include fabrication techniques for ultrathin MOF glass membranes, cutting-edge knowledge in advanced MOF membrane design, a new generation of MOF devices, and efficient membrane reactors for CO2 conversion with mixed gas feed. This project expects to accelerate the development of low-carbon technologies and provide significant benefits in mitigating the adverse effects of anthropogenic CO2 emissions.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100623
Funder
Australian Research Council
Funding Amount
$412,037.00
Summary
New electrodes for green electrochemical carbon dioxide capture. This project aims to develop new electrochemical carbon capture technology. By designing and fabricating new functional electrodes and high-performance electrochemical devices based on water and driven by renewable electricity, this project will enhance the ability to capture CO2, the primary greenhouse gas that causes global climate change. Expected outcomes include new multi-dimension electrodes with unique chemistry and state-of ....New electrodes for green electrochemical carbon dioxide capture. This project aims to develop new electrochemical carbon capture technology. By designing and fabricating new functional electrodes and high-performance electrochemical devices based on water and driven by renewable electricity, this project will enhance the ability to capture CO2, the primary greenhouse gas that causes global climate change. Expected outcomes include new multi-dimension electrodes with unique chemistry and state-of-the-art CO2 capture devices plus in-depth knowledge of electrochemical CO2 capture mechanisms for optimised device design and control. Benefits include the development of circular carbon economies with capabilities to effectively capture CO2, supporting Australian industries to achieve net zero emissions by 2050.Read moreRead less
ARC Centre of Excellence for Carbon Science and Innovation. ARC Centre of Excellence for Carbon Science and Innovation. This Centre aims to develop carbon-based catalysts for clean energy, CO2 capture, and green chemistry to reduce emissions. The Centre expects to use pioneering data-guided atomic-precision synthesis and multiscale analysis to transform fundamental science of carbon materials. Expected outcomes of this Centre will benefit new technologies for energy, environmental, and green che ....ARC Centre of Excellence for Carbon Science and Innovation. ARC Centre of Excellence for Carbon Science and Innovation. This Centre aims to develop carbon-based catalysts for clean energy, CO2 capture, and green chemistry to reduce emissions. The Centre expects to use pioneering data-guided atomic-precision synthesis and multiscale analysis to transform fundamental science of carbon materials. Expected outcomes of this Centre will benefit new technologies for energy, environmental, and green chemical industries by utilising abundant sunlight, seawater, and waste feedstocks. This should provide significant benefits, through industry collaborations, our new world-leading capacity will train a next generation of game changers to empower emerging carbon industries to solve grand socio-economic challenges, ultimately meeting zero-carbon emissions targets.Read moreRead less
Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predi ....Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predictive sensory data analytics. This should provide significant benefits, such as substantially reduced operating and service costs and improved accuracy for real-time monitoring in the fields where cheap-to-implement and easy-to-service monitoring systems over large geographical areas are imperative.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
Building crowd sourced data curation processes. This project aims to tackle the growing problem of data curation. The capacity to effectively utilise the increasing number of datasets available to organisations for timely decision making is diminishing, due to onerous data preparation and curation tasks that have to be performed before the data can be consumed by analytics platforms. The project will be a first attempt at using a novel process-oriented approach in micro-task crowdsourcing, and w ....Building crowd sourced data curation processes. This project aims to tackle the growing problem of data curation. The capacity to effectively utilise the increasing number of datasets available to organisations for timely decision making is diminishing, due to onerous data preparation and curation tasks that have to be performed before the data can be consumed by analytics platforms. The project will be a first attempt at using a novel process-oriented approach in micro-task crowdsourcing, and will create new knowledge to harness the full potential of crowd sourced data curation. This is expected to make a significant benefit towards enhanced organisational capacity to accelerate the time-to-value from data analytics projects.Read moreRead less
Enabling Automatic Graph Learning Pipelines with Limited Human Knowledge. This project aims to develop an automatic graph learning system for complex graph data analysis. Machine learning for graph data commonly requires significant human knowledge from both domain professionals as well as algorithm experts, rendering existing systems ineffective and unexplainable. This project expects to design novel graph learning techniques which automatically infer graph relations, learn graph models, adapts ....Enabling Automatic Graph Learning Pipelines with Limited Human Knowledge. This project aims to develop an automatic graph learning system for complex graph data analysis. Machine learning for graph data commonly requires significant human knowledge from both domain professionals as well as algorithm experts, rendering existing systems ineffective and unexplainable. This project expects to design novel graph learning techniques which automatically infer graph relations, learn graph models, adapts existing knowledge to new domains, and provide explanations to the graph learning system. The research results should provide benefit to governments and businesses in many critical applications, such as bioassay activity prediction, credit assessment, and drug discovery and vaccine development in response to the pandemic.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100385
Funder
Australian Research Council
Funding Amount
$453,237.00
Summary
"Circular Economy", via renewable energy and resource recovery. In a circular economy context, wastewater utilities are well placed to exploit the commercial potential of microalgae. Sewage treatment plants have an abundance of key nutrients required for algae growth, existing dewatering infrastructure that is suitable for harvesting algae and in some cases, existing anaerobic digestion infrastructure suitable for the conversion of microalgae to renewable energy in the form of biogas. This proje ...."Circular Economy", via renewable energy and resource recovery. In a circular economy context, wastewater utilities are well placed to exploit the commercial potential of microalgae. Sewage treatment plants have an abundance of key nutrients required for algae growth, existing dewatering infrastructure that is suitable for harvesting algae and in some cases, existing anaerobic digestion infrastructure suitable for the conversion of microalgae to renewable energy in the form of biogas. This project aims to upscale wastewater-based algae production that will enable increased renewable energy production via anaerobic digestion, for onsite thermal, electrical energy and upgraded liquefied natural gas.Read moreRead less
Multiscale geomechanical modelling of basin-scale CO2 storage. This project aims to develop innovative geomechanical models that will provide rapid assessments of the potential for reservoir deformation, including induced seismicity, during geological storage of CO2. The main expected outcome is a multiscale modelling approach that will help to identify storage locations at low risk for deformation and CO2 leakage in regions of little existing geomechanical data. The project will elucidate the .... Multiscale geomechanical modelling of basin-scale CO2 storage. This project aims to develop innovative geomechanical models that will provide rapid assessments of the potential for reservoir deformation, including induced seismicity, during geological storage of CO2. The main expected outcome is a multiscale modelling approach that will help to identify storage locations at low risk for deformation and CO2 leakage in regions of little existing geomechanical data. The project will elucidate the technical and commercial viability of CO2 storage in Australia’s Cooper-Eromanga basins and provide broad economic and environmental benefits by reducing the geomechanical uncertainties that provide a barrier to the global need to upscale carbon capture and storage.Read moreRead less
Re-engineering enterprise systems for microservices in the cloud. This project will enable automatic re-engineering of large enterprise applications to run in modern cloud environments as microservices. Microservices are the latest wave of service-based software, capable of exploiting the high performance and third-party integration opportunities made available through the cloud. The project will develop new techniques for analysing enterprise systems code and execution data, and making recommen ....Re-engineering enterprise systems for microservices in the cloud. This project will enable automatic re-engineering of large enterprise applications to run in modern cloud environments as microservices. Microservices are the latest wave of service-based software, capable of exploiting the high performance and third-party integration opportunities made available through the cloud. The project will develop new techniques for analysing enterprise systems code and execution data, and making recommendations for restructuring suitable parts as microservices. These microservices manage individual business objects via sets of lightweight distributed computational operations. The outcomes will support progressive evolution of an enterprise system, into distributed microservices running in public clouds, while still being integrated with "backend" systems.Read moreRead less