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
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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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
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
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
Building on rural knowledges to unlock the potential of rural students. This project aims to advance understanding of the distinctive knowledges that rural students bring to school and develop teaching practices that build on these rural knowledges to unlock the potential of this significant student population. The project involves collaborating with rural primary schools, teachers, students and communities to identify rural knowledges, study classroom practices in detail, and develop sustainabl ....Building on rural knowledges to unlock the potential of rural students. This project aims to advance understanding of the distinctive knowledges that rural students bring to school and develop teaching practices that build on these rural knowledges to unlock the potential of this significant student population. The project involves collaborating with rural primary schools, teachers, students and communities to identify rural knowledges, study classroom practices in detail, and develop sustainable teaching practices that help students connect rural knowledges and school knowledge. Expected outcomes include a framework of place-based teaching practices and resources that will benefit rural schooling, teacher education, and the education of communities crucial to the nation’s future wealth and welfare.Read moreRead less
Regional Australia' skills shortages and high-skill refugees' employment . Regional Australia loses to cities thousands of professional and trade-related people whose skills cannot be replaced. Focusing on small and medium-size enterprises producing food and beverages, this project aims to determine whether refugee employment (i) is a strategic resource (ii) can alleviate these chronic regional skill shortages, and (iii) can be integrated in immigration policy. In doing so, it will for the firs ....Regional Australia' skills shortages and high-skill refugees' employment . Regional Australia loses to cities thousands of professional and trade-related people whose skills cannot be replaced. Focusing on small and medium-size enterprises producing food and beverages, this project aims to determine whether refugee employment (i) is a strategic resource (ii) can alleviate these chronic regional skill shortages, and (iii) can be integrated in immigration policy. In doing so, it will for the first time provide critical empirical evidence on the possible need to separate policy measures aimed at rural vs. urban employers. The outcomes will contribute to reducing the problem of critical skill shortages and wastage at once and do so with an eye to the needs to rural Australia – a key driver of the country’s exports. Read moreRead less
Life, living and livelihoods in satellite cities: new urban forms in India . This project aims to assess the success of satellite cities, conceived as possible solutions to the urgent challenge of rapid urban growth in today’s megacities. Through an ethnography of an Indian satellite city, Mahindra World City, this project aims to generate knowledge on new urban formations and the consequences of experiments in urban development for different socio-economic groups. Understanding the lived experi ....Life, living and livelihoods in satellite cities: new urban forms in India . This project aims to assess the success of satellite cities, conceived as possible solutions to the urgent challenge of rapid urban growth in today’s megacities. Through an ethnography of an Indian satellite city, Mahindra World City, this project aims to generate knowledge on new urban formations and the consequences of experiments in urban development for different socio-economic groups. Understanding the lived experiences of residents/workers in satellite cities aims to form a robust evidence base for research driven dialogue with policy makers, planners and developers. Lessons derived are expected to inform policy and practice as to how to achieve wellbeing for urban residents, while providing indications of Asia’s urban futures.Read moreRead less
Policy Modelling for Ageing in Emerging Economies: The Case of Indonesia. This project, in collaboration with the World Bank and the Indonesian Planning Authority, will support major social and economic policy development in a rapidly ageing region. It will break new ground by developing a cutting-edge economic policy model reflecting salient features of ageing in emerging economies, taking into account the wider implications for education, employment, formalisation, growth, and retirement. It w ....Policy Modelling for Ageing in Emerging Economies: The Case of Indonesia. This project, in collaboration with the World Bank and the Indonesian Planning Authority, will support major social and economic policy development in a rapidly ageing region. It will break new ground by developing a cutting-edge economic policy model reflecting salient features of ageing in emerging economies, taking into account the wider implications for education, employment, formalisation, growth, and retirement. It will bring the armoury of policy analysis instruments available to these countries up to the standard now enjoyed by the developed world. Indonesia, on the brink of major pension reform, will be used as a test bed. Data sets will be developed to allow the model structure to be applied to other emerging economies in Asia. Read moreRead less
Improving novice drivers' speed and hazard management. The aim of the study is to extend the evidence-based approach we have developed for speed management (cognitive integration speed management training) to hazard management, thereby developing cognitive integration hazard management training for young drivers. Hence, this study is specifically designed to curb the alarming trend in young driver fatalities on Australian roads. The results of the research will provide clear direction to road au ....Improving novice drivers' speed and hazard management. The aim of the study is to extend the evidence-based approach we have developed for speed management (cognitive integration speed management training) to hazard management, thereby developing cognitive integration hazard management training for young drivers. Hence, this study is specifically designed to curb the alarming trend in young driver fatalities on Australian roads. The results of the research will provide clear direction to road authorities and driver training providers as to effective training strategies to improve young driver training, and ultimately improve road safety with this vulnerable population.Read moreRead less