Gaze Tracking Haptic User Interface for the Blind. It is estimated over 40 million people suffer from sever visual impairment in the modern world. Although blind people are able to use the computer with the aid of a screen reader and output devices like Braille displays, it remains difficult for the blind to use many applications with Graphical User Interfaces (GUIs) due to the need for hand-eye coordination when manipulating screen objects with the mouse. This project intends to overcome this d ....Gaze Tracking Haptic User Interface for the Blind. It is estimated over 40 million people suffer from sever visual impairment in the modern world. Although blind people are able to use the computer with the aid of a screen reader and output devices like Braille displays, it remains difficult for the blind to use many applications with Graphical User Interfaces (GUIs) due to the need for hand-eye coordination when manipulating screen objects with the mouse. This project intends to overcome this difficulty by providing a means for the blind to perceive and control the GUI of typical computer applications. This potentially could provide increased computer access, job opportunities and education for the blind.Read moreRead less
A novel platform-technology for long-term subcutaneous neurophysiology. This project aims to develop a novel miniature device for subcutaneous and tetherless brain sensing. It addresses the lack of a device solution for brain-sensing that combines ultra-long-term reliable sensing capability and small dimensions for minimally-invasive procedures. We achieve this through our novel electrode architecture that significantly enhances the quality and reliability of recorded brain signals. We introduce ....A novel platform-technology for long-term subcutaneous neurophysiology. This project aims to develop a novel miniature device for subcutaneous and tetherless brain sensing. It addresses the lack of a device solution for brain-sensing that combines ultra-long-term reliable sensing capability and small dimensions for minimally-invasive procedures. We achieve this through our novel electrode architecture that significantly enhances the quality and reliability of recorded brain signals. We introduce a platform technology designed for subscalp anatomy with future use in various brain-machine interfacing applications relying on reliable, long-term and easy-to-implant systems. This project's device manufacturing, training, and intellectual property are expected to strengthen Australia's position in bioelectronics.Read moreRead less
Novel graphene nanostructures: modelling, synthesis, fabrication and characterisation. As a key nanomaterial for future electronics, graphene is rapidly becoming one of the most promising frontier areas of nanotechnology throughout the world. This project aims to develop a new class of graphene nanostructures that hold great potential for large-scale applications in the next generation nanoelectronic devices, sensors, solar cells and light emitting devices. This project will significantly enhan ....Novel graphene nanostructures: modelling, synthesis, fabrication and characterisation. As a key nanomaterial for future electronics, graphene is rapidly becoming one of the most promising frontier areas of nanotechnology throughout the world. This project aims to develop a new class of graphene nanostructures that hold great potential for large-scale applications in the next generation nanoelectronic devices, sensors, solar cells and light emitting devices. This project will significantly enhance the international competitiveness of Australia in the areas of new materials and nanotechnology and will help place Australia at the forefront of nanotechnology. This project will produce high quality PhD students in nanotechnology.Read moreRead less
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
Diamond glass: An all-carbon technology for neural networks and biosensing. This project aims to use plasma deposition to synthesise diamond glass with the highest purity and the most diamond-like character so that it meets the strict requirements for emerging device applications. The extreme properties of diamond glass arise from the diamond-like bonding of the majority of its atoms. This amorphous, wide bandgap semiconductor is also the hardest known glass. The maximum diamond-like content pos ....Diamond glass: An all-carbon technology for neural networks and biosensing. This project aims to use plasma deposition to synthesise diamond glass with the highest purity and the most diamond-like character so that it meets the strict requirements for emerging device applications. The extreme properties of diamond glass arise from the diamond-like bonding of the majority of its atoms. This amorphous, wide bandgap semiconductor is also the hardest known glass. The maximum diamond-like content possible in diamond glass coatings is unknown, so determining its ultimate performance is difficult. Expected applications include medical diagnostics, non-volatile memories and programmable chips.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
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