Deep visual understanding: learning to see in an unruly world. Deep Learning has achieved incredible success at an astonishing variety of Computer Vision tasks recently. This project aims to convey this success into the challenging domain of high-level image-based reasoning. It will extend deep learning to achieve flexible semantic reasoning about the content of images based on information gleaned from the huge volumes of data available on the Internet. The project expects to overcome one of the ....Deep visual understanding: learning to see in an unruly world. Deep Learning has achieved incredible success at an astonishing variety of Computer Vision tasks recently. This project aims to convey this success into the challenging domain of high-level image-based reasoning. It will extend deep learning to achieve flexible semantic reasoning about the content of images based on information gleaned from the huge volumes of data available on the Internet. The project expects to overcome one of the primary limitations of deep learning and will greatly increase its practical application to a range of industrial, cultural or health settings.Read moreRead less
Added depth: automated high level image interpretation. Humans are very good at understanding the world through imagery, but computers lack this fundamental capacity because they lack experience of what they might see. This project will provide this experience by combining the large volumes of imagery on the Internet with three dimensional information generated by humans for other purposes.
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
Privacy-Preserving Classification for Big-Data Driven Network Traffic. Protecting sensitive information in large network traffic flows while ensuring data usability for classification emerges as a critical problem of increasing significance. Existing techniques do not work on highly heterogeneous traffic from big-data applications for both privacy protection and classification (such as port-based and load- based methods). This project investigates new theories, methods and techniques for solving ....Privacy-Preserving Classification for Big-Data Driven Network Traffic. Protecting sensitive information in large network traffic flows while ensuring data usability for classification emerges as a critical problem of increasing significance. Existing techniques do not work on highly heterogeneous traffic from big-data applications for both privacy protection and classification (such as port-based and load- based methods). This project investigates new theories, methods and techniques for solving this problem. It proposes to develop a set of effective methods for privacy-preserving data publication through combining randomisation with anonymisation, and for classifying the published data through uncertainty leveraging by probabilistic reasoning and accuracy lifting by inter-flow correlation analysis and active learning.Read moreRead less
Engaging Students during the Early Years of Secondary School. This project aims to design, test and share sustainable strategies to support teachers and enable students from low socioeconomic communities to achieve success. The greatest decreases in students’ interest and effort occur when they transition into secondary school, with students from low socioeconomic communities at greatest risk of disengagement. What can teachers do to engage their students during this key life transition? This pr ....Engaging Students during the Early Years of Secondary School. This project aims to design, test and share sustainable strategies to support teachers and enable students from low socioeconomic communities to achieve success. The greatest decreases in students’ interest and effort occur when they transition into secondary school, with students from low socioeconomic communities at greatest risk of disengagement. What can teachers do to engage their students during this key life transition? This project plans to identify teacher behaviours that motivate students in their first year at secondary school. Using an experimental design with a representative sample of 150 teachers and 1500 students in low socioeconomic areas across three states, the project plans to test whether an online professional learning program for teachers can improve student engagement and achievement. This cost-effective and scalable intervention is designed for widespread dissemination to Australian teachers.Read moreRead less
Evolution. Morphodynamics and History of the Younghusband Peninsula. This project will examine the history and evolution of the Sir Richard-Younghusband Peninsula (SRYP) complex barrier in SA. The aims are to derive a understanding of how the influences of relative sea-level changes, neotectonics, and sediment supply, can produce remarkably different responses in barrier development. No complex barrier (i.e. foredune ridges in one portion, transgressive dunefields in another) has ever been compr ....Evolution. Morphodynamics and History of the Younghusband Peninsula. This project will examine the history and evolution of the Sir Richard-Younghusband Peninsula (SRYP) complex barrier in SA. The aims are to derive a understanding of how the influences of relative sea-level changes, neotectonics, and sediment supply, can produce remarkably different responses in barrier development. No complex barrier (i.e. foredune ridges in one portion, transgressive dunefields in another) has ever been comprehensively drilled, dated, modelled, or examined in the context of indigenous occupation and oral histories in Australia. The study provides excellent analogues for barrier and dune response, and shoreline translation to varying rates of sea level rise, paralleling pressures facing all coastlines today.Read moreRead less
Diversity in large crop genomes via enhanced recombination. The project aims to understand genetic and environmental factors that limit how fast genomic combinations can be generated by modifying the recombination rates between chromosomes. Plant breeding is based around genetic diversity, but modern breeding programs have captured only a small proportion of the variation available in wild relatives and land races. Knowledge of diversity in this wild germplasm pool is increasing and the challeng ....Diversity in large crop genomes via enhanced recombination. The project aims to understand genetic and environmental factors that limit how fast genomic combinations can be generated by modifying the recombination rates between chromosomes. Plant breeding is based around genetic diversity, but modern breeding programs have captured only a small proportion of the variation available in wild relatives and land races. Knowledge of diversity in this wild germplasm pool is increasing and the challenge is to quickly and efficiently introduce this variation into elite lines. This project’s findings are expected to transform wheat and barley breeding methods by unlocking the genetic diversity to produce new varieties. This will enhance and protect a critical and valuable rural industry.Read moreRead less
Culturally Responsive Schooling. Australian schools are struggling to respond positively to the increasing cultural diversity of the student cohort. The aim of this study is to research how schools become culturally responsive and specifically explores how the affective environments of schools attend to the diverse cultural, academic and emotional needs of their communities. This this study brings together methods borrowed from educational ethnography, critical policy analysis, and educational ....Culturally Responsive Schooling. Australian schools are struggling to respond positively to the increasing cultural diversity of the student cohort. The aim of this study is to research how schools become culturally responsive and specifically explores how the affective environments of schools attend to the diverse cultural, academic and emotional needs of their communities. This this study brings together methods borrowed from educational ethnography, critical policy analysis, and educational action research. The study will inform curriculum and pedagogical reform in schools, changes to teacher education programs, and potentially ameliorate systemic inequality in Australian schooling. Read moreRead less
Equipping Australian teachers today to face AI tomorrow. Applications of Artificial Intelligence (AI) are set to transform society, including how people work and learn. Yet there is very little research about what Australian teachers need to know in order to prepare students to thrive in an AI-rich society and workforce. This study aims to construct a foundational understanding for teaching with and about AI. It will also show how to develop effective networks to empower teachers as active chang ....Equipping Australian teachers today to face AI tomorrow. Applications of Artificial Intelligence (AI) are set to transform society, including how people work and learn. Yet there is very little research about what Australian teachers need to know in order to prepare students to thrive in an AI-rich society and workforce. This study aims to construct a foundational understanding for teaching with and about AI. It will also show how to develop effective networks to empower teachers as active change agents. The expected outcomes will equip teachers with the knowledge and resources to lead the development of Australia’s future AI capability, including through enhanced classroom practices and more creative teacher networks.Read moreRead less
Transnationalism and diaspora. This study aims to incorporate diaspora, circular migration and transnational linkages into demographic concepts of population and migration. Transnationalism’s replacement of permanent movements as the dominant paradigm in migration studies raises questions for demographic measurement and the study of migration. This project will use traditional demographic data with integrated quantitative and qualitative research to analyse the diaspora–migration–development nex ....Transnationalism and diaspora. This study aims to incorporate diaspora, circular migration and transnational linkages into demographic concepts of population and migration. Transnationalism’s replacement of permanent movements as the dominant paradigm in migration studies raises questions for demographic measurement and the study of migration. This project will use traditional demographic data with integrated quantitative and qualitative research to analyse the diaspora–migration–development nexus. It will study four countries to understand the characteristics of diasporas, their international linkages and their potential for enhancing development in origin countries. This is expected to generate policy advice on how to maximise the economic potential of diaspora.Read moreRead less