Switching Dynamics Approach for Distributed Global Optimisation . This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in industrial big-data environments where timely decision making is required. It will result in a practical technology for industry optimisation problems such as economic energy dispatch in smart g ....Switching Dynamics Approach for Distributed Global Optimisation . This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in industrial big-data environments where timely decision making is required. It will result in a practical technology for industry optimisation problems such as economic energy dispatch in smart grids and optimal charging and discharging tasks in a large network of electric vehicles, helping Australian power industry improve efficiency and security, as well as training the next generation scientists and engineers for Australia in this emerging field.Read moreRead less
Making Meta-learning Generalised . This project aims to develop novel machine learning techniques, termed generalised meta-learning, to make machines better utilise past experience to solve new tasks with few data. It expects to reduce the undesirable dependence of current machine learning on labelled data and significantly expand its application scope. Expected outcomes of the project consist of new theoretical results on meta-learning and a set of innovative algorithms that can support the bui ....Making Meta-learning Generalised . This project aims to develop novel machine learning techniques, termed generalised meta-learning, to make machines better utilise past experience to solve new tasks with few data. It expects to reduce the undesirable dependence of current machine learning on labelled data and significantly expand its application scope. Expected outcomes of the project consist of new theoretical results on meta-learning and a set of innovative algorithms that can support the building of next generation of computer vision systems to work in open and dynamic environments. This should be able to produce solid benefits to the science, society, and economy of Australian via the application of these advanced intelligent systems.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170101069
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Two-dimensional inorganic nanostructures for hydrogen evolution reaction. This project aims to synthesise highly active electrochemical catalysts of two-dimensional (2D) inorganic nanostructure for hydrogen evolution reaction (HER). The electrocatalysis of water to produce hydrogen gas could generate clean energy, but the platinum catalyst’s cost and low activity make it impractical. This project will develop 2D inorganic nanosheets with tuneable pores and electronic band structures, hybridised ....Two-dimensional inorganic nanostructures for hydrogen evolution reaction. This project aims to synthesise highly active electrochemical catalysts of two-dimensional (2D) inorganic nanostructure for hydrogen evolution reaction (HER). The electrocatalysis of water to produce hydrogen gas could generate clean energy, but the platinum catalyst’s cost and low activity make it impractical. This project will develop 2D inorganic nanosheets with tuneable pores and electronic band structures, hybridised with organic and/or inorganic semiconductor nanomaterials for HER, and use density functional theory calculation to investigate these hybridised nanosheets’ mechanisms for HER. These highly efficient and low-cost catalysts are expected to generate clean energy and create opportunities for Australian industries.Read moreRead less
ARC Centre of Excellence for Green Electrochemical Transformation of Carbon Dioxide. ARC Centre of Excellence for Green Electrochemical Transformation of Carbon Dioxide. This Centre aims to advance carbon dioxide electrochemistry innovations to enable the conversion of carbon dioxide into valuable products and transition Australia to a carbon-neutral economy. This Centre expects to generate new knowledge using experimental and computational approaches to develop systems-level understanding to fu ....ARC Centre of Excellence for Green Electrochemical Transformation of Carbon Dioxide. ARC Centre of Excellence for Green Electrochemical Transformation of Carbon Dioxide. This Centre aims to advance carbon dioxide electrochemistry innovations to enable the conversion of carbon dioxide into valuable products and transition Australia to a carbon-neutral economy. This Centre expects to generate new knowledge using experimental and computational approaches to develop systems-level understanding to furnish industry-ready carbon dioxide utilisation technologies. Expected outcomes include enhanced capacity through collaborations establishing the Centre as an international hub for research, training, technology translation and strategic advice for stakeholders and policymakers. This should accelerate Australia’s progress towards net zero emissions targets and grow a sustainable economy and create future jobs.Read moreRead less
Collaborative Sensing and Learning for Maritime Situational Awareness. We aim to demonstrate coordinated autonomous sensing of naval assets in dynamic maritime environments, reducing the operational load required to deliver a high quality maritime situational awareness. A realistic simulation based approach will help us develop novel artificial intelligence technology including: self-adaptive strategies for dynamic asset allocation, embedded smart sensing capabilities for naval observation syste ....Collaborative Sensing and Learning for Maritime Situational Awareness. We aim to demonstrate coordinated autonomous sensing of naval assets in dynamic maritime environments, reducing the operational load required to deliver a high quality maritime situational awareness. A realistic simulation based approach will help us develop novel artificial intelligence technology including: self-adaptive strategies for dynamic asset allocation, embedded smart sensing capabilities for naval observation systems and novel approaches to continuous collaborative learning from multi-spectral media. In addition to the emerging partnership between participants, the project will advance sovereign capability to develop maritime intelligence gathering technology for the Royal Australian Navy to underpin stability in our region. Read moreRead less
Context and Activity Recognition for Personalised Behaviour Recommendation. The Internet of Things (IoT) together with the rising popularity of smartphones opens a new world for many exciting opportunities. The overall goal of this project is to develop new algorithms and data analytical techniques in an IoT environment that can accurately monitor and analyse personalised daily activities on a continuous, real-time basis. The expected result of this project will support many critical application ....Context and Activity Recognition for Personalised Behaviour Recommendation. The Internet of Things (IoT) together with the rising popularity of smartphones opens a new world for many exciting opportunities. The overall goal of this project is to develop new algorithms and data analytical techniques in an IoT environment that can accurately monitor and analyse personalised daily activities on a continuous, real-time basis. The expected result of this project will support many critical applications such as better wellness tracking and lifestyle-related illness prevention, which will be particularly critical to Australia's aging population. This project will also serve as a vehicle to educate and train Australia’s young scholars and engineers.Read moreRead less
Multiobjective Memetic Algorithms for Multi-task Symbolic Regression. This project aims at developing the new generation of symbolic regression methods using a yet unexplored way to represent mathematical functions. We will use memetic algorithms to create mathematical models for symbolic regression. Our memetic computing approach will be data-driven and will use multi-objective optimization and multi-task evolutionary computation for symbolic regression, addressing a core need of many areas of ....Multiobjective Memetic Algorithms for Multi-task Symbolic Regression. This project aims at developing the new generation of symbolic regression methods using a yet unexplored way to represent mathematical functions. We will use memetic algorithms to create mathematical models for symbolic regression. Our memetic computing approach will be data-driven and will use multi-objective optimization and multi-task evolutionary computation for symbolic regression, addressing a core need of many areas of science and technology. A large number of datasets will be investigated to benchmark the new methods. The expected outcomes will help support our national priorities with new data analytic capabilities. With a strong and interdisciplinary team in three continents, the project will attract international collaboration. Read moreRead less
Maximising the value of Australia’s sheepmeat industry with smart photonics. This project aims to investigate new photonics technologies to measure meat quality in lamb and mutton. It expects to develop new knowledge in the areas of fibre optics and 3D printing for use by the red meat and livestock industries. Expected outcomes of this project include development of a new technology to rapidly identify premium meat during meat processing. This should provide significant benefits for Australia’s ....Maximising the value of Australia’s sheepmeat industry with smart photonics. This project aims to investigate new photonics technologies to measure meat quality in lamb and mutton. It expects to develop new knowledge in the areas of fibre optics and 3D printing for use by the red meat and livestock industries. Expected outcomes of this project include development of a new technology to rapidly identify premium meat during meat processing. This should provide significant benefits for Australia’s red meat industry, helping to establish Australia as a leading supplier of high-quality meat to domestic and international markets.Read moreRead less
Special Research Initiatives - Grant ID: SR180100036
Funder
Australian Research Council
Funding Amount
$650,054.00
Summary
Remediation of PFAS in current and legacy biosolids application sites. This project aims to develop novel immobilisation, adsorption and/or thermal destruction methods for biosolids, soil and groundwater in current and legacy per- and poly-fluroalkyl substance (PFAS) sites receiving biosolids. Biosolids generated during waste water treatment carry an unknown potential risk of soil and groundwater PFAS contamination, through their application in agriculture and rehabilitation sites. This project ....Remediation of PFAS in current and legacy biosolids application sites. This project aims to develop novel immobilisation, adsorption and/or thermal destruction methods for biosolids, soil and groundwater in current and legacy per- and poly-fluroalkyl substance (PFAS) sites receiving biosolids. Biosolids generated during waste water treatment carry an unknown potential risk of soil and groundwater PFAS contamination, through their application in agriculture and rehabilitation sites. This project will provide the first major investigation of the release, fate and remediation of perfluorinated compounds in relation to their environmental pathways through wastewater treatment plants in Australia. The data will be evaluated to determine if perfluorinated compounds should be further incorporated into Australian soil and water quality monitoring programs. The project will provide evidence of research advice and methodologies being successfully adopted by water industry end-users, government regulatory agencies and private remediation industries.Read moreRead less