On effectively modelling and efficiently discovering communities from large networks. Finding and maintaining close communities from very large scale, dynamically changing networks is interesting and challenging. This project aims to develop new techniques to identify such communities as fast as possible through exploiting the rich semantics and individual relationships within the communities.
Social engagement in Spiritualism. This project aims to investigate the sociological, anthropological and historical dimensions of Spiritualism in Australia, a small but highly influential religious movement. 19th century Spiritualist ideas about the afterlife have shaped many citizens’ beliefs that individual personality survives death in a family-centred spirit realm. Combining both sociological and anthropological approaches, the project will map the production and effect of belief on family, ....Social engagement in Spiritualism. This project aims to investigate the sociological, anthropological and historical dimensions of Spiritualism in Australia, a small but highly influential religious movement. 19th century Spiritualist ideas about the afterlife have shaped many citizens’ beliefs that individual personality survives death in a family-centred spirit realm. Combining both sociological and anthropological approaches, the project will map the production and effect of belief on family, civic participation and ethics. This project aims to give scholars a fuller, more accurate view of religious dynamics in Australia.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
Using data mining methods to remove uncertainties in sensor data streams. This project will develop key techniques for removing uncertainties in sensor data streams and thus improve the monitoring quality of sensor networks. The expected outcomes will benefit Australia by enabling improved, lower-cost monitoring of natural resources and management of stock raising.
How free is free?: word order in Australian Indigenous languages. This project aims to address the fundamental issue of how the grammatical structure of the language we speak shapes the way we plan and interpret sentences. The project will use innovative methodologies to investigate language production and comprehension in three Australian Indigenous languages that have unusually free word order, where the words in a sentence can be varied in multiple ways without changing the overall meaning. E ....How free is free?: word order in Australian Indigenous languages. This project aims to address the fundamental issue of how the grammatical structure of the language we speak shapes the way we plan and interpret sentences. The project will use innovative methodologies to investigate language production and comprehension in three Australian Indigenous languages that have unusually free word order, where the words in a sentence can be varied in multiple ways without changing the overall meaning. Expected outcomes include new knowledge of the relationship between language structure and human cognition, a deeper understanding of the grammatical structure of three Indigenous languages and how they differ from other languages, and important contributions to Indigenous language maintenance and education.Read moreRead less
Towards higher rank logarithmic conformal field theories. This project aims to expand our knowledge of logarithmic theories. Conformal field theory provides powerful methods for attacking problems in theoretical physics and furnishes beautiful connections between seemingly disparate branches of pure mathematics. Advancing these theories is crucial to progress in statistical mechanics, string theory and various mathematical disciplines. Expected outcomes include a detailed formalism for systemati ....Towards higher rank logarithmic conformal field theories. This project aims to expand our knowledge of logarithmic theories. Conformal field theory provides powerful methods for attacking problems in theoretical physics and furnishes beautiful connections between seemingly disparate branches of pure mathematics. Advancing these theories is crucial to progress in statistical mechanics, string theory and various mathematical disciplines. Expected outcomes include a detailed formalism for systematically and rigorously analysing a wide variety of logarithmic conformal field theories so as to facilitate applications.Read moreRead less
DeepHoney: Automatic Honey Data Generation for Active Cyber Defence . This project aims to enhance the security of networks and information systems by empowering them with intelligent deception techniques to achieve proactive attack detection and defence. In recent times, the fictitious environment – honeypot designed by human experience becomes popular to attract attackers and capture their interactions. However, rules-based construction of honeypots fails in preserving the privacy, boosting th ....DeepHoney: Automatic Honey Data Generation for Active Cyber Defence . This project aims to enhance the security of networks and information systems by empowering them with intelligent deception techniques to achieve proactive attack detection and defence. In recent times, the fictitious environment – honeypot designed by human experience becomes popular to attract attackers and capture their interactions. However, rules-based construction of honeypots fails in preserving the privacy, boosting the attractiveness and evolving the system. The project expects to advance deep learning and yield novel DeepHoney technologies with associated publications and open-source software. This should benefit science, society, and the economy by building the next generation of active cyber defence systems. Read moreRead less
Social cognition and language - the design resources of grammatical diversity. This project will (a) improve Australia's capacity to interact and communicate with other cultures (b) promote advanced training and research (including 9 doctoral students) on the languages of our region (c) carry out extensive new research on 20 languages of the Pacific region, most of which represent gravely endangered cultural traditions (d) draw on the design solutions identified in these languages to develop ....Social cognition and language - the design resources of grammatical diversity. This project will (a) improve Australia's capacity to interact and communicate with other cultures (b) promote advanced training and research (including 9 doctoral students) on the languages of our region (c) carry out extensive new research on 20 languages of the Pacific region, most of which represent gravely endangered cultural traditions (d) draw on the design solutions identified in these languages to develop models appropriate to the social cognition element of human-computer and computer-computer interfacesRead moreRead less
The relationship between firm innovation and performance and the role of the government. Productivity growth in Australia has plateaued. Although Federal and State Governments employ a range of different innovation policies designed to stimulate productivity growth, little is known about the effects these programs, and of innovation more generally, on firm performance. One reason why this relationship is unknown relates to the availability of firm-level data. This project, will take advantage of ....The relationship between firm innovation and performance and the role of the government. Productivity growth in Australia has plateaued. Although Federal and State Governments employ a range of different innovation policies designed to stimulate productivity growth, little is known about the effects these programs, and of innovation more generally, on firm performance. One reason why this relationship is unknown relates to the availability of firm-level data. This project, will take advantage of unique access to a dataset provided by the Australian Bureau of Statistics which enables us to observe the activities of every firm in Australia. Using these data and appropriate econometric techniques, the study will examine the effect of a range of government policies designed to stimulate innovation and productivity growth. Read moreRead less
Improving the specificity of affective computing via multimodal analysis. This project aims to develop multimodal affective sensing techniques that can sense very subtle expressions in human moods and emotions. Much research in affective computing has investigated ways to improve the sensitivity of affect sensing approaches, resulting in more accurate estimates of affective states such as emotions or mood. What remains unsolved so far is the issue of specificity. This project will address this i ....Improving the specificity of affective computing via multimodal analysis. This project aims to develop multimodal affective sensing techniques that can sense very subtle expressions in human moods and emotions. Much research in affective computing has investigated ways to improve the sensitivity of affect sensing approaches, resulting in more accurate estimates of affective states such as emotions or mood. What remains unsolved so far is the issue of specificity. This project will address this issue through novel analyses of very subtle cues in facial and vocal expressions of affect embedded in a multimodal deep learning framework. Current approaches can successfully assist in binary classification tasks. This project will tackle the much more difficult problem of developing advanced affective sensing technology to simultaneously handle homogeneous and heterogeneous affect classes as well as continuous range estimates of affect intensity.Read moreRead less