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
Cinematic Ethics: Exploring Ethical Experience through Film. This project develops a new interdisciplinary framework for understanding cinema’s unique power to evoke ethical experience via audiovisual means. Combining philosophy with film analysis, it moves beyond the prevalent view that cinema merely illustrates moral situations, and challenges the long-held suspicion toward film’s manipulative aesthetic power. This project proposes instead a model of cinematic ethics: an investigation of how c ....Cinematic Ethics: Exploring Ethical Experience through Film. This project develops a new interdisciplinary framework for understanding cinema’s unique power to evoke ethical experience via audiovisual means. Combining philosophy with film analysis, it moves beyond the prevalent view that cinema merely illustrates moral situations, and challenges the long-held suspicion toward film’s manipulative aesthetic power. This project proposes instead a model of cinematic ethics: an investigation of how cinema evokes ethical experience through emotional, cognitive, and aesthetic engagement. This project will advance the emerging interdisciplinary field of film-philosophy by highlighting film’s under-recognised potential to enhance ethical understanding, and thus to promote greater social awareness and intercultural communication.Read moreRead less
Deep Interaction Learning in Unlabelled Big Data and Complex Systems. This project aims to effectively model intricate interactions deeply embedded in unlabelled big data and complex systems, which are often hierarchical, heterogeneous, contextual, dynamic or even contrastive. Learning such interactions is the keystone of robust data science and for realizing the value of big data but it poses significant challenges and knowledge gaps to existing data analytics and learning systems. The expected ....Deep Interaction Learning in Unlabelled Big Data and Complex Systems. This project aims to effectively model intricate interactions deeply embedded in unlabelled big data and complex systems, which are often hierarchical, heterogeneous, contextual, dynamic or even contrastive. Learning such interactions is the keystone of robust data science and for realizing the value of big data but it poses significant challenges and knowledge gaps to existing data analytics and learning systems. The expected outcomes include new-generation theories and methods for the unsupervised learning of complex interactions in real-life big data, which are anticipated to enable the intrinsic processing of big data complexities and substantially enhance Australia’s leadership in frontier data science research and applications. Read moreRead less
The reformulation of war art as a dialogical interactive narrative. This research uses visualisation technology to explore new ways to communicate and understand the collective experience and personal memories of war. It aims to strengthen Australia's leadership in media arts, facilitating the active participation of defence personnel in the creation of a world-first interactive archive of war stories.
Migration and mobility: the question of childhood in Chinese and European cinema since 1945. This project will produce a comparative account of the migrant and mobile child in postwar film, researched in China and Europe. It will contribute deeper knowledge of how childhood has been valued in key societies since 1945, and will bring new energy to international and domestic debates on the status, image and experience of migrant children.
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
Animating the study of visual communication. This project aims to inform how dynamic colour signals broker information exchange by connecting stimulus design with perception through space and time. Biological studies of colour signalling have largely proceeded via static terms that underestimate the true fluidity of natural contexts. This project aspires to animate the field using innovative approaches such as programmable nano-drones to reveal how flashing colours are perceived under diverse vi ....Animating the study of visual communication. This project aims to inform how dynamic colour signals broker information exchange by connecting stimulus design with perception through space and time. Biological studies of colour signalling have largely proceeded via static terms that underestimate the true fluidity of natural contexts. This project aspires to animate the field using innovative approaches such as programmable nano-drones to reveal how flashing colours are perceived under diverse viewing conditions. The knowledge advances are expected to generate new intellectual paradigms and models, and have significant scope for bio-inspiration in areas such as telecommunication, information processing and the optimal design of visual displays.Read moreRead less
Visual cosmopolitanism, national identity and imperialist ambitions in garden spaces. Visual cosmopolitanism is an ideal created through the global movement of art forms. This project will contribute to current debates about the globalisation of art by tracing the concept back to artistic practices and aesthetic theories of the enlightenment through a focus on experience within the eighteenth-century garden.
Big Data Machines: Internet-Scale Machine Learning Techniques to Combat the Curse of Big Data. The advent of “big data” in business, government, science, social networks, the internet, etc. creates opportunity in business and commercial domains. Big data also raises issues of increasing volume, variety, dimensionality and categories in open domain big data applications, which this project will solve by developing novel machine learning techniques, including theoretical foundations, a big data ma ....Big Data Machines: Internet-Scale Machine Learning Techniques to Combat the Curse of Big Data. The advent of “big data” in business, government, science, social networks, the internet, etc. creates opportunity in business and commercial domains. Big data also raises issues of increasing volume, variety, dimensionality and categories in open domain big data applications, which this project will solve by developing novel machine learning techniques, including theoretical foundations, a big data machine learning framework and open source website. The outcomes of this project will provide frontier technologies for big data analysis that will have social and economic impact in such areas as social media computing, bioinformatics and business intelligence, and enhance Australia’s global position in the pattern recognition and data mining communities.Read moreRead less
Deep Weak Learning for Morphology Analysis of Micro and Nanoscale Images. This project will develop novel methods for automated discovery and quantification of image phenotypes from micro and nanoscale images. The outcome will be an advance of the state of the art in biomedical image analysis with a particular focus on generalized weakly-supervised deep learning models for morphological feature representation. The methodologies will transform the deep learning pipeline for real biomedical imagin ....Deep Weak Learning for Morphology Analysis of Micro and Nanoscale Images. This project will develop novel methods for automated discovery and quantification of image phenotypes from micro and nanoscale images. The outcome will be an advance of the state of the art in biomedical image analysis with a particular focus on generalized weakly-supervised deep learning models for morphological feature representation. The methodologies will transform the deep learning pipeline for real biomedical imaging scenarios with high heterogeneity and limited training data. The frameworks will facilitate high-throughput processing for a wide range of microscopy image modalities and biological applications, and potentially become the next generation computational platform to support fundamental research in human biology.Read moreRead less