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
Industrial Transformation Research Hubs - Grant ID: IH220100012
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Carbon Utilisation and Recycling. This Research Hub aims to develop technologies to transform carbon dioxide emissions from our energy and manufacturing sectors into valuable products and create pathways to market to drive industry transformation. This hub aims to achieve this by developing novel electro, thermo, and biochemical methods for converting CO2 from sectors that cannot easily avoid emissions and a technological pathway for CO2 recycling. The outcomes of this Hub a ....ARC Research Hub for Carbon Utilisation and Recycling. This Research Hub aims to develop technologies to transform carbon dioxide emissions from our energy and manufacturing sectors into valuable products and create pathways to market to drive industry transformation. This hub aims to achieve this by developing novel electro, thermo, and biochemical methods for converting CO2 from sectors that cannot easily avoid emissions and a technological pathway for CO2 recycling. The outcomes of this Hub are likely to be transformative for industry, the economy, and society in moving the fate of CO2 from pollutant to feedstock. The benefits to Australia are intended to be the stimulation of a new industry, a skilled workforce for this emerging industry and a contribution to meeting CO2 reduction targets.Read moreRead less
Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data ar ....Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data are needed. This project will design, implement and evaluate visualisation methods for massive multivariate network data sets. This research is expected to be used by Australian software development, biotechnology and security companies to exploit their data.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100115
Funder
Australian Research Council
Funding Amount
$451,697.00
Summary
Evaluating the Impact and Efficiency of Engineering the Ocean to Remove CO2. This project aims to evaluate the viability of engineering the ocean to remove carbon dioxide from the atmosphere by simulating a suite of climate intervention and baseline scenarios. To better predict changes in marine carbon cycling, I will first make novel observations of zooplankton grazing dynamics, then use them to improve, validate and constrain a new marine biogeochemical model. Using this model, coupled to an o ....Evaluating the Impact and Efficiency of Engineering the Ocean to Remove CO2. This project aims to evaluate the viability of engineering the ocean to remove carbon dioxide from the atmosphere by simulating a suite of climate intervention and baseline scenarios. To better predict changes in marine carbon cycling, I will first make novel observations of zooplankton grazing dynamics, then use them to improve, validate and constrain a new marine biogeochemical model. Using this model, coupled to an ocean, atmosphere and fisheries model, I will quantify the long-term efficiency with which marine carbon dioxide removal strategies sequester carbon along with their impact on fisheries catch. These projections will help scientists, policy-makers, and industry leaders decide if, when, and how we should geoengineer the ocean. Read moreRead less
Using data mining methods to remove uncertainties in sensor data streams. This project will develop key techniques for removing uncertainties in sensor data streams and thus improve the monitoring quality of sensor networks. The expected outcomes will benefit Australia by enabling improved, lower-cost monitoring of natural resources and management of stock raising.
Discovery Early Career Researcher Award - Grant ID: DE220100265
Funder
Australian Research Council
Funding Amount
$417,000.00
Summary
A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and ....A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and interpretability in decision making. Expected outcomes will benefit national cybersecurity by improving our understanding of vulnerabilities and threats involving decision actions, and by ensuring that human feedback and evaluations can help prevent catastrophic events in explorations of dynamic and complex environments.Read moreRead less
Carbon in - carbon out: can carbon inputs keep up with losses in peatland? This project aims to quantify the current and predict the future carbon balance of a high altitude, carbon-dense ecosystem, namely sub-alpine grassy peatland, by measuring how environmental variables including experimental warming control the fluxes of carbon and water into and out of the system. In this way, this project will produce new knowledge on the susceptibility of high-altitude peaty soils to climate change. Expe ....Carbon in - carbon out: can carbon inputs keep up with losses in peatland? This project aims to quantify the current and predict the future carbon balance of a high altitude, carbon-dense ecosystem, namely sub-alpine grassy peatland, by measuring how environmental variables including experimental warming control the fluxes of carbon and water into and out of the system. In this way, this project will produce new knowledge on the susceptibility of high-altitude peaty soils to climate change. Expected outcomes include an enhanced ability to predict future carbon accumulation rates and the resilience of the vital water-storage and filtration services provided by these systems. This project will enhance outputs from new infrastructure and assist planning for future flood and drought management across SE Australia.Read moreRead less
No load diesel application in remote power systems. No load diesel application in remote power systems. This project aims to investigate and optimise no-load diesel application within remote area renewable hybrid power systems. While hundreds of remote Australian communities rely on expensive diesel for power generation, this project intends to increase penetration of alternative renewable sources into remote and isolated power systems. Using dual thermodynamic and electrical modelling, this pro ....No load diesel application in remote power systems. No load diesel application in remote power systems. This project aims to investigate and optimise no-load diesel application within remote area renewable hybrid power systems. While hundreds of remote Australian communities rely on expensive diesel for power generation, this project intends to increase penetration of alternative renewable sources into remote and isolated power systems. Using dual thermodynamic and electrical modelling, this project will investigate low to no-load diesel threshold capability, reducing diesel consumption at minimal costs. The project is expected to return immediate benefits to remote mining, defence and tourism based communities, providing a pathway to reduced diesel usage and increased renewable penetration.Read moreRead less
Investigation into flow over complex topography and escarpments for wind turbine siting using experimental and computational methods. This project will improve national capability to optimise power production from wind turbine farms in complex terrain by improving the understanding of the flow regime. By better understanding separated regions and the turbulent structures within these regions power production can be optimised and fatigue risks associated with turbine positioning in complex sites ....Investigation into flow over complex topography and escarpments for wind turbine siting using experimental and computational methods. This project will improve national capability to optimise power production from wind turbine farms in complex terrain by improving the understanding of the flow regime. By better understanding separated regions and the turbulent structures within these regions power production can be optimised and fatigue risks associated with turbine positioning in complex sites can be reduced. This will improve confidence in wind farm site assessment techniques and consequently reduce economic risks associated with current wind farm viability assessments. By increasing national capacity to generate clean energy stationary energy emissions can be reduced. This project will also deliver high calibre graduates that will be potential future industry leaders.Read moreRead less
Assessing and addressing tax system complexity in Australia. Tax reform and simplification are highly topical in government, business and the wider community, with many initiatives proposed or under way. This project will identify the key factors in tax system complexity, measure the costs it imposes upon taxpayers and develop complexity indices that can test new policy measures and monitor improvements.