Secure Management of Internet of Things Data for Critical Surveillance. This project aims to develop innovative models/algorithms to manage Internet of Things (IoT) data safely and reliably. This project expects to generate new knowledge in the area of classified information governance using innovative data collection, transmission and analysis techniques that overcome the security concerns in large-scale collaborative sensing. Expected outcomes include novel abstract interfaces for IoT, adaptiv ....Secure Management of Internet of Things Data for Critical Surveillance. This project aims to develop innovative models/algorithms to manage Internet of Things (IoT) data safely and reliably. This project expects to generate new knowledge in the area of classified information governance using innovative data collection, transmission and analysis techniques that overcome the security concerns in large-scale collaborative sensing. Expected outcomes include novel abstract interfaces for IoT, adaptive trust and integrity preserving methods, and reliable distributed data processing mechanisms to mitigate vulnerabilities in real-time IoT-enabled critical surveillance. This should provide significant benefits to Australia's economy, one of which is the enhanced consumer-centric adoption of IoT for sensitive operations.Read moreRead less
Scalable Robust Video Surveillance over Constrained Networks. Real-time monitoring of large numbers of people is becoming increasingly important for applications such as efficient service delivery and security against both common crime and terrorism. The use of human operators for such tasks is infeasible due to the large amount of data collected. Existing autonomous video surveillance systems are prone to high numbers of false alarms and often require expensive hardware. This proposal seeks ....Scalable Robust Video Surveillance over Constrained Networks. Real-time monitoring of large numbers of people is becoming increasingly important for applications such as efficient service delivery and security against both common crime and terrorism. The use of human operators for such tasks is infeasible due to the large amount of data collected. Existing autonomous video surveillance systems are prone to high numbers of false alarms and often require expensive hardware. This proposal seeks to address both difficulties by using rigorous statistical signal processing methods to optimally fuse information from a network of low-cost cameras.Read moreRead less
Better Planning for and Managing Asymmetric Threats to Australia's Security: Applying the Field Anomaly Relaxation (FAR) Systems Thinking Approach. Despite an enviable national security condition, Australia is at risk in an information-abundant world that increasingly spawns asymmetric threats such as information terrorism. What is needed are enhanced strategic and operational structures to improve the nation's security and ensure sound futures planning. This research focuses on applying the Fie ....Better Planning for and Managing Asymmetric Threats to Australia's Security: Applying the Field Anomaly Relaxation (FAR) Systems Thinking Approach. Despite an enviable national security condition, Australia is at risk in an information-abundant world that increasingly spawns asymmetric threats such as information terrorism. What is needed are enhanced strategic and operational structures to improve the nation's security and ensure sound futures planning. This research focuses on applying the Field Anomaly Relaxation (FAR) systems thinking approach to asymmetric information warfare threats to Australia. This is a new approach previously developed by ECU researchers investigating risk and innovation in the armed forces. It will now be extended to improve professional practice and the knowledge and skill base of Australia's information defence practitioners.Read moreRead less
Developing A Smart Farming Oriented Secure Data Infrastructure. Smart farming is the future of agriculture. However, recently the Federal Bureau of Investigation has issued a
warning that the lack of data privacy and cyber security mechanisms in the field runs a high risk of disaster. This
project aims to establish an innovative secure data infrastructure for smart farming including secure and automated smart farming supply-chain management. The deliverables of this project will include the cutt ....Developing A Smart Farming Oriented Secure Data Infrastructure. Smart farming is the future of agriculture. However, recently the Federal Bureau of Investigation has issued a
warning that the lack of data privacy and cyber security mechanisms in the field runs a high risk of disaster. This
project aims to establish an innovative secure data infrastructure for smart farming including secure and automated smart farming supply-chain management. The deliverables of this project will include the cutting-edge Blockchain based secure IoT data management and privacy-preserving smart contracts for smart farming supply-chain management. This data infrastructure will be the first of its kind which will lay a solid foundation for smart farming technology.Read moreRead less
Understanding and Costing Offending Trajectories: Creating an Evidence-Base for Targeting Crime Prevention. The research will provide an evidence-base for targeting diversionary and crime prevention programs and for assessing their cost-effectiveness. Many of these programs have resulted in a range of beneficial outcomes and they are receiving increased government funding. By providing a better understanding of offending pathways, the research will enable programs to be targeted towards particul ....Understanding and Costing Offending Trajectories: Creating an Evidence-Base for Targeting Crime Prevention. The research will provide an evidence-base for targeting diversionary and crime prevention programs and for assessing their cost-effectiveness. Many of these programs have resulted in a range of beneficial outcomes and they are receiving increased government funding. By providing a better understanding of offending pathways, the research will enable programs to be targeted towards particular at-risk groups at crucial developmental phases. The innovative longitudinal costing method that will be developed and applied in the Queensland context will enable an assessment of the cost-effectiveness of diversionary and crime prevention programs. This will provide a sound empirical basis for directing scarce government resources.Read moreRead less
Defect engineering in molecular beam epitaxy-grown mercury cadmium telluride. This project aims to develop high quality mercury cadmium telluride (HgCdTe) materials with lower defect density and lower background doping levels. This will enable future, high-performance, lower-cost infrared sensors with the unique features of higher yield, larger array size and higher operating temperature. The project will generate new science and technologies on defect engineering in the epitaxial growth of sem ....Defect engineering in molecular beam epitaxy-grown mercury cadmium telluride. This project aims to develop high quality mercury cadmium telluride (HgCdTe) materials with lower defect density and lower background doping levels. This will enable future, high-performance, lower-cost infrared sensors with the unique features of higher yield, larger array size and higher operating temperature. The project will generate new science and technologies on defect engineering in the epitaxial growth of semiconducting HgCdTe on cadmium zinc telluride (CdZnTe) substrates. This will contribute to the development of core Australian industry sectors such as defence, environmental monitoring, medical imaging, earth remote sensing, mining, and oil and gas.Read moreRead less
Personalised Privacy-Preserving Network Data Publishing System . Data sharing has become a driving force for many businesses in industrial sectors. This project aims to develop a privacy preserving network data publishing system that can preserve user privacy in a personalised way while maintaining maximal utility of the published data. To make accurate privacy preservation, this project will design novel learning models to derive accurate users’ correlation and their privacy intention, develop ....Personalised Privacy-Preserving Network Data Publishing System . Data sharing has become a driving force for many businesses in industrial sectors. This project aims to develop a privacy preserving network data publishing system that can preserve user privacy in a personalised way while maintaining maximal utility of the published data. To make accurate privacy preservation, this project will design novel learning models to derive accurate users’ correlation and their privacy intention, develop efficient privacy preserving algorithms to deal with static and dynamic network data sharing. The success of this project will benefit many industries and government agencies to reduce users’ privacy breaches, avoid illegal consequences of sharing data, and enhance these service providers’ service quality.Read moreRead less
Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.Read moreRead less
Crowd tracking and visual analytics for rapidly deployable imaging devices. Crowd tracking and visual analytics for rapidly deployable imaging devices. This project aims to develop visual analytics technology that adds machine intelligence to a rapidly deployable time-lapse imaging platform. Such devices can operate on solar and wind power, and be remotely programmed (via a cellular network) to take photos and send them to a server at given times. This project, which focuses on monitoring crowds ....Crowd tracking and visual analytics for rapidly deployable imaging devices. Crowd tracking and visual analytics for rapidly deployable imaging devices. This project aims to develop visual analytics technology that adds machine intelligence to a rapidly deployable time-lapse imaging platform. Such devices can operate on solar and wind power, and be remotely programmed (via a cellular network) to take photos and send them to a server at given times. This project, which focuses on monitoring crowds of objects of interest, is expected to introduce “smart” imaging platforms that could be triggered and shoot high-quality photographs when “events of interest” occur. This project could make Australia both a world leader in video analytics and secure through on-line threat detection, and improve traffic control and agriculture.Read moreRead less
Personalised Online Learning Analytics by Exploring Multilayer Graph Data . Learning analytics is becoming a significant factor in reducing the drop-out rate of students in online learning. The aim of this project is to develop a reliable, robust, real-time analysis system that automatically reveals multilayered relationships, evaluates students' learning performance, and generates a personal study plan through discovery. This project includes the design of novel algorithms for multilayer graph ....Personalised Online Learning Analytics by Exploring Multilayer Graph Data . Learning analytics is becoming a significant factor in reducing the drop-out rate of students in online learning. The aim of this project is to develop a reliable, robust, real-time analysis system that automatically reveals multilayered relationships, evaluates students' learning performance, and generates a personal study plan through discovery. This project includes the design of novel algorithms for multilayer graph processing, pattern recognition in learning activities, learning performance assessment, and personalised study plan recommendations. The success of this project will significantly enhance the success of online education both in Australia and worldwide and; hence, will save time, money and resources for end users.Read moreRead less