Towards Generalisable and Unbiased Dynamic Recommender Systems. This project aims to develop the foundations, including models, methodology, and algorithms for building generalisable and unbiased dynamic recommender systems to facilitate intelligent decision-making, prompt contextualised and personalised strategic plans, and support context-aware action recourse. To ensure that fundamental principles, such as fairness and transparency, are respected, a set of algorithms and techniques are propos ....Towards Generalisable and Unbiased Dynamic Recommender Systems. This project aims to develop the foundations, including models, methodology, and algorithms for building generalisable and unbiased dynamic recommender systems to facilitate intelligent decision-making, prompt contextualised and personalised strategic plans, and support context-aware action recourse. To ensure that fundamental principles, such as fairness and transparency, are respected, a set of algorithms and techniques are proposed to develop recommender systems in a more responsible manner. The result of this project will not only maintain Australia's leadership in this frontier research area, but also serve as an excellent vehicle for the education and training of Australia's next generation of scholars and engineers.Read moreRead less
A multi-metal ion sensor for analysis of environmental water. The aim of this research project is to develop an electrochemical sensor array on a single chip for the detection of several heavy metals in wastewater samples. Each electrode in the array will be modified with a different metal-binding peptide ligand; resulting in a characteristic response pattern for a given metal ion. Deconvolution of the sensor response into the response patterns of the individual metals will be achieved using p ....A multi-metal ion sensor for analysis of environmental water. The aim of this research project is to develop an electrochemical sensor array on a single chip for the detection of several heavy metals in wastewater samples. Each electrode in the array will be modified with a different metal-binding peptide ligand; resulting in a characteristic response pattern for a given metal ion. Deconvolution of the sensor response into the response patterns of the individual metals will be achieved using pattern recognition software employing artificial neural networks and other multivariate techniques. Successful development of the multi-analyte sensor will allow the rapid monitoring of environmentally important metal ions in the field.Read moreRead less
Development of stable, patterned Self-Assembled Monolayers on carbon for sensors and other nanotechnology applications. Nanotechnology - science at the scale of a billionth of a metre - rests on our ability to manipulate molecules and to build structures that will be part of useful devices. We shall develop new methods to put that chemistry on carbon surfaces - leading to very stable and cheap devices that will have 'real world' applications in environmental monitoring. A 'bottom up' method of f ....Development of stable, patterned Self-Assembled Monolayers on carbon for sensors and other nanotechnology applications. Nanotechnology - science at the scale of a billionth of a metre - rests on our ability to manipulate molecules and to build structures that will be part of useful devices. We shall develop new methods to put that chemistry on carbon surfaces - leading to very stable and cheap devices that will have 'real world' applications in environmental monitoring. A 'bottom up' method of fabrication exploits the ability of similar molecules to line up on a suitable surface, so-called 'self Assembly'. The project is based on sound fundamental science for an applied research outcome and therefore will enhance Australian's standing as a strong scientific country that applies its knowledge at the forefront of technological advancement.Read moreRead less
Making Silicon Even More Useful: Functionalising Silicon to Produce Stable Electronic Devices in Aqueous Environments. Silicon is the wonder material of our time, being the foundation upon which our electronics and device industries are based. Silicon however would be even more useful if it could be stabilised so the surface did not oxidise in air and water. If this oxidation could be prevented silicon could be used in a whole range of new devices related to biotechnology, molecular electronics ....Making Silicon Even More Useful: Functionalising Silicon to Produce Stable Electronic Devices in Aqueous Environments. Silicon is the wonder material of our time, being the foundation upon which our electronics and device industries are based. Silicon however would be even more useful if it could be stabilised so the surface did not oxidise in air and water. If this oxidation could be prevented silicon could be used in a whole range of new devices related to biotechnology, molecular electronics and sensing. The project will develop a viable surface chemistry strategy for achieving this stabilisation and hence will greatly expand the scope of devices which can be fabricated from silicon. This will have significant scientific and economic benefits for Australia. We will exploit this new capability for cancer detection, cell engineering and biosensing.Read moreRead less
Mitigating the Influence of Social Bots in Heterogeneous Social Networks. This project aims to mitigate the influence of social bots in dynamic and constantly changing social networks. Social bots can spread misinformation, manipulate public opinion, and compromise privacy and security. This project will use advanced algorithms to detect and neutralize the impact of social bots, improving the integrity and accuracy of information on social media. The expected outcomes include the development of ....Mitigating the Influence of Social Bots in Heterogeneous Social Networks. This project aims to mitigate the influence of social bots in dynamic and constantly changing social networks. Social bots can spread misinformation, manipulate public opinion, and compromise privacy and security. This project will use advanced algorithms to detect and neutralize the impact of social bots, improving the integrity and accuracy of information on social media. The expected outcomes include the development of a robust system for identifying and mitigating social bot influence, and the reduction of harmful content and misinformation on social media. The benefits of this project include a more trustworthy and secure social media environment, protection of individuals and organizations from malicious activities.Read moreRead less
Knowledge Graph-driven Software Vulnerability Risk Discovery and Assessment. This project aims to alleviate cyberattacks which are increasingly being crafted to attack software vulnerabilities and weaknesses by utilising advanced knowledge graphs and deep learning techniques. This project expects to construct an innovative software vulnerability knowledge graph and develop advanced graph-based algorithms and models. Expected outcomes of this project include the enhanced capacity to defend agains ....Knowledge Graph-driven Software Vulnerability Risk Discovery and Assessment. This project aims to alleviate cyberattacks which are increasingly being crafted to attack software vulnerabilities and weaknesses by utilising advanced knowledge graphs and deep learning techniques. This project expects to construct an innovative software vulnerability knowledge graph and develop advanced graph-based algorithms and models. Expected outcomes of this project include the enhanced capacity to defend against cyberattacks for both organisations and individuals in Australia and beyond, theory development in graph theory, refined graph neural network models and improved graph transfer learning algorithms.Read moreRead less
New Strategies for Monitoring DNA-Anticancer Drug Interactions. The highly successful cisplatin works by binding to DNA and partially unwinding or bending the DNA. As a consequence of the success if cisplatin, alternative anticancer drugs are being developed with reduced side effects for patients. One of the bottom necks in the development of alternative drugs is rapid screening of the efficacy on new leads. The proposed research will develop new technologies for monitoring DNA-drug binding, ....New Strategies for Monitoring DNA-Anticancer Drug Interactions. The highly successful cisplatin works by binding to DNA and partially unwinding or bending the DNA. As a consequence of the success if cisplatin, alternative anticancer drugs are being developed with reduced side effects for patients. One of the bottom necks in the development of alternative drugs is rapid screening of the efficacy on new leads. The proposed research will develop new technologies for monitoring DNA-drug binding, DNA damage and DNA repair using novel DNA biosensors. the novelty of the biosensor technology will be to use the modulation of charge transfer through DNA as a method for determining the structural changes that occur in DNA due to these events occurring.Read moreRead less
Information-theoretic secure communications via caching. This project aims to address the cybersecurity problem of securing telecommunication networks to prevent data leakage. Current widely-adopted data-encryption approaches to secure communications will be broken with large-scale quantum computers, and existing information-theoretic approaches rely on the channel quality of the network. To circumvent these risks, this project proposes a new information security approach using information cache ....Information-theoretic secure communications via caching. This project aims to address the cybersecurity problem of securing telecommunication networks to prevent data leakage. Current widely-adopted data-encryption approaches to secure communications will be broken with large-scale quantum computers, and existing information-theoretic approaches rely on the channel quality of the network. To circumvent these risks, this project proposes a new information security approach using information cached at devices to camouflage data. The project will future-proof secure communication systems against large-scale quantum computers, which threaten current encryption approaches. This should ensure that data transmitted over communication networks can never be revealed to interceptors or hackers, even in public WiFi.Read moreRead less
Trust-Oriented Data Analytics in Online Social Networks. Trust-oriented data analytics is essential in online social networks for reducing deceitful interactions and enhancing trust between users. This project aims to systematically devise innovative solutions by considering rich social contextual information as an important source of trust. The expected outcomes of this project include innovative solutions from a fundamental perspective to the challenges of context-aware trust propagation, trus ....Trust-Oriented Data Analytics in Online Social Networks. Trust-oriented data analytics is essential in online social networks for reducing deceitful interactions and enhancing trust between users. This project aims to systematically devise innovative solutions by considering rich social contextual information as an important source of trust. The expected outcomes of this project include innovative solutions from a fundamental perspective to the challenges of context-aware trust propagation, trust network searching/matching, and trustworthy/malicious user prediction in online social networks. This project is significant as it will advance the knowledge base for enabling a trustworthy social networking environment, benefiting billions of Australian and worldwide online social network users.Read moreRead less
Big temporal graph processing in the Cloud. This project aims to develop efficient and scalable algorithms to process big temporal graphs in the Cloud. In particular, we will investigate three most representative types of queries over big temporal graphs including vertex-based queries, path-based queries, and subgraph-based queries. Expected outcomes of this project include theoretical foundations and scalable algorithms to process big temporal graphs as well as a system prototype for evaluation ....Big temporal graph processing in the Cloud. This project aims to develop efficient and scalable algorithms to process big temporal graphs in the Cloud. In particular, we will investigate three most representative types of queries over big temporal graphs including vertex-based queries, path-based queries, and subgraph-based queries. Expected outcomes of this project include theoretical foundations and scalable algorithms to process big temporal graphs as well as a system prototype for evaluation and to demonstrate the practical value. Success in this project should see significant benefits for many important applications such as cybersecurity, e-commerce, health and road networks.Read moreRead less