Sustainability in Computing: A Holistic View. Green computing must provide sustainable processing capabilities with high energy efficiency (lower carbon footprint) and increased product longevity (reducing the need for product replacement). While advances in technology have afforded significant reduction in power requirements, they come with inherent challenges due to uncertainties in micro-scale behaviour, high complexity of quantifying/optimising energy cost or system lifetime in extreme scale ....Sustainability in Computing: A Holistic View. Green computing must provide sustainable processing capabilities with high energy efficiency (lower carbon footprint) and increased product longevity (reducing the need for product replacement). While advances in technology have afforded significant reduction in power requirements, they come with inherent challenges due to uncertainties in micro-scale behaviour, high complexity of quantifying/optimising energy cost or system lifetime in extreme scale computing, and the interaction of non-computing components with individual computing systems. This project addresses these challenges via a holistic, multi-scale paradigm for modelling, analysis, and optimisation of energy cost, carbon footprint, and product lifetime in emerging computing systems.Read moreRead less
What is successful public art today?: exploring how contemporary public art and memorial design shapes public engagement, perceptions and behaviour. Much public money is invested in public art and memorials. The research explores critical questions of value: what the public enjoys about such artworks, if and how artworks contribute amenity to public spaces, and whether recent artworks engage effectively with social memory, identity and politics. The research situates local practice within intern ....What is successful public art today?: exploring how contemporary public art and memorial design shapes public engagement, perceptions and behaviour. Much public money is invested in public art and memorials. The research explores critical questions of value: what the public enjoys about such artworks, if and how artworks contribute amenity to public spaces, and whether recent artworks engage effectively with social memory, identity and politics. The research situates local practice within international trends, to inform Australian designers, policymakers, art patrons and public space managers about recent innovations in technology, craft, creativity and critique, so they can create and choose public artworks and memorials which engage with the potentials of contemporary arts practice, the complexities of contemporary culture, and the diversity of social behaviour in public spaces.Read moreRead less
Understanding the lessons of Australia's Gold Coast through the late 20th century debate on criticality and instrumentality in architecture. This project will investigate the role of architecture in the western city through problems in 20th century architectural theory. It will show how the Gold Coast offers new insights into contemporary architecture and will result in two closely related books: an architectural history of the Gold Coast; and a new account of contemporary architectural theory.
AUSLearn: AUtomated Sample Learning for Object Recognition. This project aims to enable computers to learn how to effectively use training samples for object recognition. Training sample is the only source used by computers to learn recognising objects. This project creates a new research direction that will enable the first full exploration of the power of samples. The aims will be enabled by leveraging the recent advances in reinforcement learning, fast training algorithms, and by developing n ....AUSLearn: AUtomated Sample Learning for Object Recognition. This project aims to enable computers to learn how to effectively use training samples for object recognition. Training sample is the only source used by computers to learn recognising objects. This project creates a new research direction that will enable the first full exploration of the power of samples. The aims will be enabled by leveraging the recent advances in reinforcement learning, fast training algorithms, and by developing novel deep learning algorithms. The new algorithms will benefit a wide range of applications, e.g. to effectively use car crash training samples for accurately identifying potential road crashes in transport and to effectively use rare medical imaging training data for robustly diagnosing diseases in health.Read moreRead less
Complex and nonlinear pattern analysis in architectural space, form and program: developing computational tools to support social and cultural design. In a country that is experiencing increasing urban density there is an urgent need for the development of tools and models for the production of socially and culturally responsive environments. The Fellowship develops a new quantitative and qualitative understanding of the experiential and semiotic characteristics of buildings. The project, assis ....Complex and nonlinear pattern analysis in architectural space, form and program: developing computational tools to support social and cultural design. In a country that is experiencing increasing urban density there is an urgent need for the development of tools and models for the production of socially and culturally responsive environments. The Fellowship develops a new quantitative and qualitative understanding of the experiential and semiotic characteristics of buildings. The project, assisted by developments in robotics technology, produces a leading-edge computational model for analysing complex and non-linear patterns in architectural space, form and program from a social and cultural perspective. Such a model will assist design practitioners, scholars, town planners and policy writers to shape rich, responsive and inclusive architectural environments.Read moreRead less
In search of relevant things: A novel approach for image analysis. This project aims to investigate how experts’ cognitive processes may be transferred to computers for the automatic recognition of visual features. By merging computer and brain sciences, the project will characterise the way the brains of experts understand what is seen, in order to translate such a process in a new computer vision tool. This should provide significant benefits, such as automatic detection of threats or diseases ....In search of relevant things: A novel approach for image analysis. This project aims to investigate how experts’ cognitive processes may be transferred to computers for the automatic recognition of visual features. By merging computer and brain sciences, the project will characterise the way the brains of experts understand what is seen, in order to translate such a process in a new computer vision tool. This should provide significant benefits, such as automatic detection of threats or diseases in satellite and diagnostic imaging, respectively, among other applications. For the first time, the combination of how a computer analyses an image and how an expert interprets it will be used as a common language to enable machines to process visual information in a manner that mimics the way human brains do.Read moreRead less
Unraveling the role of N-acetyl-aspartate in normal brain function and disease. The purpose of this project is to define the role of the predominating brain chemical N-acetyl-aspartate for normal nerve cell function and as toxic agent causing neurological illness and severe mental health problems. Findings of this research will enhance the design of novel therapies involving pharmacological and genetic treatment.
Modelling the human nervous system with human pluripotent stem cells. The human nervous system is one of the most complex structures evolved to date. In order to understand how it functions, and dysfunctions in a diseased state, it is fundamental to decipher how it develops to generate various neuronal populations that form this elaborate network. Human stem cells provide a valuable source to study such processes. The aim of this project is to use human stem cells to study how early progenitor c ....Modelling the human nervous system with human pluripotent stem cells. The human nervous system is one of the most complex structures evolved to date. In order to understand how it functions, and dysfunctions in a diseased state, it is fundamental to decipher how it develops to generate various neuronal populations that form this elaborate network. Human stem cells provide a valuable source to study such processes. The aim of this project is to use human stem cells to study how early progenitor cell types that structure the nervous system are generated and how their neuronal derivatives form connectivity and functional synapses. The outcome of these studies is that we will establish a cellular model of human neurogenesis that can be utilised to study developmental disease processes.Read moreRead less
Novel data mining techniques for complex network analysis and control. This project will develop novel data mining theories and algorithms to analyse complex networks for safe information publishing and sharing across networks. It will enable smart information use in bioinformatics, social science and business intelligence, help protect against cybercrime and promote Australia's international research profile.
Automatic video annotation by learning from web data. This project aims to study next-generation video annotation technologies to automatically tag raw videos using a huge set of semantic concepts. The project will study new domain adaptation schemes and frameworks in order to substantially improve video annotation performance. The resulting prototype system can be directly used by ordinary users worldwide to search their personal videos using textual queries. The system is also applicable to vi ....Automatic video annotation by learning from web data. This project aims to study next-generation video annotation technologies to automatically tag raw videos using a huge set of semantic concepts. The project will study new domain adaptation schemes and frameworks in order to substantially improve video annotation performance. The resulting prototype system can be directly used by ordinary users worldwide to search their personal videos using textual queries. The system is also applicable to video surveillance applications, which can enhance Australia’s homeland security.Read moreRead less