A novel and efficient approach for optimisation involving iterative solvers. Computationally expensive simulations involving iterative solvers are increasingly being used in industry to assess performance of products and processes. Repeated use of such simulations is necessary to identify optimum solutions. Even with today's computing power, many such tasks remain computationally prohibitive. This project presents a novel approach to solve optimisation problems involving iterative solvers with l ....A novel and efficient approach for optimisation involving iterative solvers. Computationally expensive simulations involving iterative solvers are increasingly being used in industry to assess performance of products and processes. Repeated use of such simulations is necessary to identify optimum solutions. Even with today's computing power, many such tasks remain computationally prohibitive. This project presents a novel approach to solve optimisation problems involving iterative solvers with limited computing budget. A wide range of industries involved in product and process design would gain a significant competitive advantage from this unique technical innovation. In addition, this technology will be invaluable to uncover and understand complex natural phenomena.Read moreRead less
Evolutionary computation for expensive bilevel multiobjective problems. This project aims to develop an evolutionary computation framework to solve computationally expensive bilevel multiobjective problems. The research is fundamental in nature and will address key open challenges in solving such problems, including hierarchical decision-making, multiple performance criteria, uncertainties and computational expense. The proposed research has applications in diverse domains such as environmental ....Evolutionary computation for expensive bilevel multiobjective problems. This project aims to develop an evolutionary computation framework to solve computationally expensive bilevel multiobjective problems. The research is fundamental in nature and will address key open challenges in solving such problems, including hierarchical decision-making, multiple performance criteria, uncertainties and computational expense. The proposed research has applications in diverse domains such as environmental policy formulation, network design, engineering, defence and cybersecurity; offering significant benefits to the researchers and practitioners in these fields. In addition to research outputs, it will strengthen international collaboration and build research capacity to put Australia at the forefront of this research.
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Machine education for trusted multi-skilled evolutionary learners . Transforming data assets into organisational knowledge assets sits in the hands of a few, highly specialised, data scientists. The aim of this research is to design educational instruments to support non-experts to teach artificial intelligence (AI) systems in a similar way to educating human teachers to teach human learners. The significance of the project lies in affording the wider smart, but not necessarily AI expert, commun ....Machine education for trusted multi-skilled evolutionary learners . Transforming data assets into organisational knowledge assets sits in the hands of a few, highly specialised, data scientists. The aim of this research is to design educational instruments to support non-experts to teach artificial intelligence (AI) systems in a similar way to educating human teachers to teach human learners. The significance of the project lies in affording the wider smart, but not necessarily AI expert, community the ability to contribute to growing our knowledge-based society in a safe, transparent and trustworthy manner. Outcomes will include innovative instruments to teach machines, novel knowledge creation, trusted and transparent AI systems, and a new generation of human teachers specialised in educating AI systems.Read moreRead less
Automatic Training Data Search and Model Evaluation by Measuring Domain Gap. We aim to investigate computer vision training data and test data, using automatically generated data sets for facial expression recognition and object re-identification. This project expects to quantify and understand the domain gap, the distribution difference between training and test data sets. Expected outcomes of this project are insights on measuring the domain gap, the ability to estimate model performance witho ....Automatic Training Data Search and Model Evaluation by Measuring Domain Gap. We aim to investigate computer vision training data and test data, using automatically generated data sets for facial expression recognition and object re-identification. This project expects to quantify and understand the domain gap, the distribution difference between training and test data sets. Expected outcomes of this project are insights on measuring the domain gap, the ability to estimate model performance without accessing expensive test labels and improvements to system generalisation. This should provide significant benefits for computer vision applications that currently require expensive labelling, and commercial and economic benefits across sectors such as transportation, security and manufacturing.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC230100015
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Training Centre for Whole Life Design of Carbon Neutral Infrastructure. This Centre aims to transform the capability of civil infrastructure stakeholders to design, construct, operate and dispose of infrastructure in a carbon neutral way. By training industry-embedded PhDs and postdocs in the methodology and technology required to design out excess carbon of infrastructure in its whole life, this Centre expects to lead the world in sustainable infrastructure design, enabling a new generation ....ARC Training Centre for Whole Life Design of Carbon Neutral Infrastructure. This Centre aims to transform the capability of civil infrastructure stakeholders to design, construct, operate and dispose of infrastructure in a carbon neutral way. By training industry-embedded PhDs and postdocs in the methodology and technology required to design out excess carbon of infrastructure in its whole life, this Centre expects to lead the world in sustainable infrastructure design, enabling a new generation of infrastructure design in Australia and internationally. Achieving carbon neutral infrastructure in its whole life will bring significant far-reaching benefits, including equipping industry with tools required to meet Australia’s emission reduction targets as well as economic, commercial, environmental, and social gains.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC170100006
Funder
Australian Research Council
Funding Amount
$3,937,625.00
Summary
ARC Training Centre for Advanced Technologies in Rail Track Infrastructure. The ARC Training Centre for Advanced Technologies in Rail Track Infrastructure aims to transform Australia’s rail construction and maintenance technologies through specialist training of industry-focused researchers. Generation of new knowledge and close collaboration with companies within the rail supply chain will result in enhanced rail capacity and supply chain efficiency across the rail network. This will include in ....ARC Training Centre for Advanced Technologies in Rail Track Infrastructure. The ARC Training Centre for Advanced Technologies in Rail Track Infrastructure aims to transform Australia’s rail construction and maintenance technologies through specialist training of industry-focused researchers. Generation of new knowledge and close collaboration with companies within the rail supply chain will result in enhanced rail capacity and supply chain efficiency across the rail network. This will include increased axle loads and higher speeds, greater safety margins, reduced construction and maintenance costs, and a body of competent railway professionals in the nation’s work force.Read moreRead less
Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global com ....Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global competitiveness. Expected outcomes of this project will help to break the communication barriers between the Deaf and hearing population. This should provide significant benefits to Deaf communities through enhanced communication and improved quality-of-life, leading to a fair, more inclusive and resilient Australian society.Read moreRead less
Seismic analysis of cracking and deformations in concrete gravity dams. This project aims to establish a rational predictive capability for the responses of concrete gravity dams subject to extreme design earthquakes. This will include the development of innovative numerical methods for effective modelling of crack propagation and closure, large slips on crack faces and weak interfaces, dam-reservoir interaction, dam-foundation interaction and automatic mesh generation. The expected outcomes of ....Seismic analysis of cracking and deformations in concrete gravity dams. This project aims to establish a rational predictive capability for the responses of concrete gravity dams subject to extreme design earthquakes. This will include the development of innovative numerical methods for effective modelling of crack propagation and closure, large slips on crack faces and weak interfaces, dam-reservoir interaction, dam-foundation interaction and automatic mesh generation. The expected outcomes of the project will be a significantly improved prediction tool. It is also anticipated that the project will result in improvements in dam and public safety, and more efficient use of funds for dam safety upgrades and management.Read moreRead less