Is architecture art? a history of categories, concepts and recent practices. The project aims to link architectural theory with broader cultural theory to provide new ways for architectural theory to engage with creative practice. There is no simple answer to the recurring question of whether architecture is an art. Nevertheless, unpacking the historical and current interests at stake in this question will lead to a better understanding of architecture in contemporary culture. Current issues ari ....Is architecture art? a history of categories, concepts and recent practices. The project aims to link architectural theory with broader cultural theory to provide new ways for architectural theory to engage with creative practice. There is no simple answer to the recurring question of whether architecture is an art. Nevertheless, unpacking the historical and current interests at stake in this question will lead to a better understanding of architecture in contemporary culture. Current issues arising from the exhibition of architecture in art galleries and architecture’s classification in new measures of the cultural economy appear to be unconnected. The project plans to show that these issues are linked in the long history of systems of the arts and recent debates about the role of medium, discipline and aesthetic autonomy in defining the arts.Read moreRead less
Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while pres ....Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while preserving the data privacy. These tools should provide significant benefits to the privacy of cloud users, as well as financial and reputation benefits to the IT industry, by significantly reducing the likelihood of massive user data privacy breaches in the event of a cyber-hacking attack on the cloud server.Read moreRead less
Bauhaus Australia: Transforming Education in Art, Architecture and Design. This project aims to examine the influence of Bauhaus-inspired émigrés on Australian cultural life. An under-examined but profound influence on Australian cultural history was the forced migration of émigré and refugee modernists from Germany and central Europe, who transformed art, architectural and design education from the 1930s to the 1970s. German and central European training, inspired by the Bauhaus, centred on sys ....Bauhaus Australia: Transforming Education in Art, Architecture and Design. This project aims to examine the influence of Bauhaus-inspired émigrés on Australian cultural life. An under-examined but profound influence on Australian cultural history was the forced migration of émigré and refugee modernists from Germany and central Europe, who transformed art, architectural and design education from the 1930s to the 1970s. German and central European training, inspired by the Bauhaus, centred on systematic approaches to pictorial method and design, colour theory and art education, all underwritten by an all-encompassing social ambition. This project aims to provide a new cross-disciplinary history of modernism in Australia that shifts focus from solo contributions to the networks of education, where modernism’s impact was most public, widespread and influential.Read moreRead less
Embedding Enterprise Systems in IoT Fog Networks through Microservices. The project will enable automated re-engineering of enterprise systems, to allow them to reused in Internet-of-Things (IoT) applications. It will support efficient ways in which the core business logic of these large scale and monolithic systems can be extended into resource control and data sensing functions managed through the IoT. The project will develop a novel, fine-grained software architecture style suitable for loca ....Embedding Enterprise Systems in IoT Fog Networks through Microservices. The project will enable automated re-engineering of enterprise systems, to allow them to reused in Internet-of-Things (IoT) applications. It will support efficient ways in which the core business logic of these large scale and monolithic systems can be extended into resource control and data sensing functions managed through the IoT. The project will develop a novel, fine-grained software architecture style suitable for localised IoT execution, through microservices executing autonomously on nodes of IoT fog networks. It will develop new techniques for automated discovery of microservices from enterprise systems and the verification of future-state system execution based on current-state behavioural and other properties such as security.Read moreRead less
Ambient nature network: new technologies to connect people to nature. This project aims to reconnect people with nature through new technology. Events in nature occur at times, places and scales that are hard to witness, leading to human disconnection from nature. This project proposes to address this issue by researching and designing new low-cost devices that combine environmental sensors with new interfaces to reveal local nature in parks and gardens in calm, engaging ways within and between ....Ambient nature network: new technologies to connect people to nature. This project aims to reconnect people with nature through new technology. Events in nature occur at times, places and scales that are hard to witness, leading to human disconnection from nature. This project proposes to address this issue by researching and designing new low-cost devices that combine environmental sensors with new interfaces to reveal local nature in parks and gardens in calm, engaging ways within and between homes in medium and high density environments. Outcomes will include new connected devices, playful interfaces and social sharing mechanisms, an evaluation with local groups, and a new theory of technology supported human-nature interaction. Benefits will include better community connection to nature, engagement in local citizen science, environmental initiatives and novel monitoring services and products.Read moreRead less
The Illustrated Literature of Papunya and Strelley, 1979-1998. Literature Production Centres at Papunya and Strelley (WA) published hundreds of illustrated books during the 1970s, 1980s and 1990s. They tell stories of the first contact, the Dreaming, bush plants, animals and life on pastoral stations, missions, government settlements and communities. This project will trace the histories of two key centres and the communities in which they were and are embedded, their authors and illustrators, t ....The Illustrated Literature of Papunya and Strelley, 1979-1998. Literature Production Centres at Papunya and Strelley (WA) published hundreds of illustrated books during the 1970s, 1980s and 1990s. They tell stories of the first contact, the Dreaming, bush plants, animals and life on pastoral stations, missions, government settlements and communities. This project will trace the histories of two key centres and the communities in which they were and are embedded, their authors and illustrators, to build a dynamic picture of Indigenous Australia that contributes another dimension to the history of art and literature in Australia. It will produce scholarly papers, a monograph and an exhibition that brings this story to the Australian public.Read moreRead less
Unlocking Mass Mobile Video Analytics with Advanced Neural Memory Networks. This project will develop neural memory architectures and dense spatial-temporal bundle adjustment to predict movement, behaviour, and perform multi-sensor fusion across large asynchronous video feeds. This capability will allow us to better interrogate and analyse mass video information recorded from the vast number of smartphones, action cameras, and surveillance cameras which exist at public events of interest. Outcom ....Unlocking Mass Mobile Video Analytics with Advanced Neural Memory Networks. This project will develop neural memory architectures and dense spatial-temporal bundle adjustment to predict movement, behaviour, and perform multi-sensor fusion across large asynchronous video feeds. This capability will allow us to better interrogate and analyse mass video information recorded from the vast number of smartphones, action cameras, and surveillance cameras which exist at public events of interest. Outcomes include the ability to ingest multiple video feeds into a dense and dynamic 3D reconstruction for knowledge representation and discovery, and analysis of events and behaviour through new spatio-temporal analytic approaches. This will offer significant benefits for video forensic analysis, policing, and emergency response.Read moreRead less
A human-centric eXplainable Automated Vehicle. The aim is to create a computational model to address the inability of Automated Vehicles (AV), powered by Artificial intelligence, to self explain their behaviours. This project applies novel multidisciplinary methodologies in a real-world self-driving setting to formalise the essence of driving explanations. It explores the when, why and how a driver is seeking an explanation and what type of automated explanation is truly human-interpretable. Exp ....A human-centric eXplainable Automated Vehicle. The aim is to create a computational model to address the inability of Automated Vehicles (AV), powered by Artificial intelligence, to self explain their behaviours. This project applies novel multidisciplinary methodologies in a real-world self-driving setting to formalise the essence of driving explanations. It explores the when, why and how a driver is seeking an explanation and what type of automated explanation is truly human-interpretable. Expected outcomes include the discovery of an acceptable, transparent and ethical explanation system that helps humans to understand the AVs decision making. This field will continue to rise in prominence and produce much-needed work to improve the widespread adoption of AVs.Read moreRead less
Re-engineering enterprise systems for microservices in the cloud. This project will enable automatic re-engineering of large enterprise applications to run in modern cloud environments as microservices. Microservices are the latest wave of service-based software, capable of exploiting the high performance and third-party integration opportunities made available through the cloud. The project will develop new techniques for analysing enterprise systems code and execution data, and making recommen ....Re-engineering enterprise systems for microservices in the cloud. This project will enable automatic re-engineering of large enterprise applications to run in modern cloud environments as microservices. Microservices are the latest wave of service-based software, capable of exploiting the high performance and third-party integration opportunities made available through the cloud. The project will develop new techniques for analysing enterprise systems code and execution data, and making recommendations for restructuring suitable parts as microservices. These microservices manage individual business objects via sets of lightweight distributed computational operations. The outcomes will support progressive evolution of an enterprise system, into distributed microservices running in public clouds, while still being integrated with "backend" systems.Read moreRead less
A Novel Automatic Neural Network Feature Extractor. This project aims to study feature extraction abilities of convolutional as well as traditional neural networks and develop a generic feature extractor which can be applied to wide variety of real-world image and non-image data. New concepts for automatic feature extraction, feature explanation, hybrid evolutionary algorithms and non-iterative ensemble learning will be introduced and evaluated. The expected outcomes are a generic feature extrac ....A Novel Automatic Neural Network Feature Extractor. This project aims to study feature extraction abilities of convolutional as well as traditional neural networks and develop a generic feature extractor which can be applied to wide variety of real-world image and non-image data. New concepts for automatic feature extraction, feature explanation, hybrid evolutionary algorithms and non-iterative ensemble learning will be introduced and evaluated. The expected outcomes are a generic feature extractor for automatically extracting features, an optimiser for finding optimal parameters and non-iterative ensemble learning technique for classification of features into classes. The impact of this project will be automatic feature extractors and classifiers for real-world applications.Read moreRead less