The systems biology of stem cells. Using new bioinformatic methods, this project aims to identify new classifiers of different stem cell populations, develop statistical models that address population heterogeneity and provide molecular predictors of the differentiation potential of stem cells. Understanding, predicting and directing the processes of differentiation are major goals in the disciplines of stem cell biology, developmental biology, tissue engineering and regenerative medicine. Molec ....The systems biology of stem cells. Using new bioinformatic methods, this project aims to identify new classifiers of different stem cell populations, develop statistical models that address population heterogeneity and provide molecular predictors of the differentiation potential of stem cells. Understanding, predicting and directing the processes of differentiation are major goals in the disciplines of stem cell biology, developmental biology, tissue engineering and regenerative medicine. Molecular atlas projects have successfully revealed rules of genome output and regulation, by mining patterns that are evident across multiple cell types and datasets. By applying this philosophy to relevant, well-curated stem cell experiments, this project aims to create new methods for the integration and interrogation of smaller individual datasets. These methods should have broad utility and enable new avenues in tissue engineering.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220101435
Funder
Australian Research Council
Funding Amount
$452,000.00
Summary
Combatting Coordinated Inauthentic Behaviour on Social Media. Online disinformation is a global problem that threatens national security and is harmful to society. However, current methods are not suited to detect coordinated disinformation operations that conceal their activity by co-opting and cultivating regular users, groups and social movements. This project develops cutting-edge methods and workflows to accurately distinguish genuine activity from coordinated inauthentic behaviour, and to ....Combatting Coordinated Inauthentic Behaviour on Social Media. Online disinformation is a global problem that threatens national security and is harmful to society. However, current methods are not suited to detect coordinated disinformation operations that conceal their activity by co-opting and cultivating regular users, groups and social movements. This project develops cutting-edge methods and workflows to accurately distinguish genuine activity from coordinated inauthentic behaviour, and to trace and evaluate the adoption of material spread by malicious actors across multiple platforms.Read moreRead less
Facilitating business process standardisation and reuse. One of the most pressing management challenges of today's organisations lies in the reuse and standardisation of best practices across different sectors, products or units. This project will develop an innovative open-source software platform and governance structure to efficiently and effectively support best practice standardisation and reuse.
Information Systems (IS)-Impact utility and intuitiveness: a rigorous approach to relevance. This study aims to evaluate the key elements of models used in design science to assess the impact of information systems. The work will examine the extent to which rigour and relevance are incorporated into these models.
Digital noticeboards for remote Aboriginal communities: bringing web 2.0 participation to non-western cultures with low English and technical literacy. Remote Aboriginal communities suffer from geographic and cultural isolation. Web 2.0 offers a solution yet is ill-suited to traditional collective cultures, those with low English and technical literacy, and the poor. This project will produce novel public web-enabled touchscreen noticeboards and table tops suited to traditional cultures.
Designing, implementing and evaluating a youth mobile help-seeking tool-kit. This project aims to design, implement and test a novel model of integrated mental health service that links a new mobile interactive tool-kit for self-directed help-seeking with existing traditional helpline services for young people. In partnership with Australia’s largest youth counselling service, Kids Helpline, the project seeks to investigate mobile technology in youth counselling and develop new understandings of ....Designing, implementing and evaluating a youth mobile help-seeking tool-kit. This project aims to design, implement and test a novel model of integrated mental health service that links a new mobile interactive tool-kit for self-directed help-seeking with existing traditional helpline services for young people. In partnership with Australia’s largest youth counselling service, Kids Helpline, the project seeks to investigate mobile technology in youth counselling and develop new understandings of blended traditional and mobile mental health interventions. It aims to design and evaluate an interactive tool-kit that provides credible health information through mobile devices, improving the quality and credibility of digital services to benefit the wellbeing of young Australians.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
Unlocking the potential for linear and discrete optimisation in knot theory and computational topology. Computational topology is a young, energetic field that uses computers to solve complex geometric problems, such as whether a loop of string is tangled. Such computations are becoming increasingly important in mathematics, and applications span biology, physics and information sciences, however many core problems in the field remain intractable for all but the simplest cases. This project unit ....Unlocking the potential for linear and discrete optimisation in knot theory and computational topology. Computational topology is a young, energetic field that uses computers to solve complex geometric problems, such as whether a loop of string is tangled. Such computations are becoming increasingly important in mathematics, and applications span biology, physics and information sciences, however many core problems in the field remain intractable for all but the simplest cases. This project unites geometric techniques with powerful methods from operations research, such as linear and discrete optimisation, to build fast, powerful tools that can for the first time systematically solve large topological problems. Theoretically, this project has significant impact on the famous open problem of detecting knottedness in fast polynomial time.Read moreRead less
Opinion Analysis on Objects in Social Networks. This project seeks to provide a new integrated interactive data mining approach to analysing opinions on social networks, enabling organisations and individuals to make informed decisions based on qualitative as well as quantitative analysis. Social networks are fast becoming an important platform for understanding social opinions about events, organisations, products or services. Through an interactive analysis of social opinion, people can make b ....Opinion Analysis on Objects in Social Networks. This project seeks to provide a new integrated interactive data mining approach to analysing opinions on social networks, enabling organisations and individuals to make informed decisions based on qualitative as well as quantitative analysis. Social networks are fast becoming an important platform for understanding social opinions about events, organisations, products or services. Through an interactive analysis of social opinion, people can make better decisions. An ‘object’ in social networks refers to anything people talk about. This project aims to design and implement new social media mining algorithms to analyse the opinions that people express about such objects in terms of who, what, when and where.Read moreRead less
Defending AI based FinTech Systems against Model Extraction Attacks. This project aims to develop new methods for defending artificial intelligence (AI) based FinTech systems from highly potent and insidious model extraction attacks whereby an adversary can steal the AI model from the system to cause intellectual property (IP) violation, business advantage disruption, and financial loss. This can be achieved by examining various attack models, creating active and utility-preserving defences, and ....Defending AI based FinTech Systems against Model Extraction Attacks. This project aims to develop new methods for defending artificial intelligence (AI) based FinTech systems from highly potent and insidious model extraction attacks whereby an adversary can steal the AI model from the system to cause intellectual property (IP) violation, business advantage disruption, and financial loss. This can be achieved by examining various attack models, creating active and utility-preserving defences, and inventing non-removable watermarks on AI models. The outcomes are new tools for securing AI-based FinTech systems before deployment and tools for IP violation forensics post-deployment. Such capabilities are beneficial by improving the security and safety of FinTech systems and other nationally critical AI systems.Read moreRead less