A Data-Centric Mobile Edge Platform for Resilient Logistics & Supply Chain. This project aims to develop a secure mobile edge computing platform for resilient logistic and supply chain management. It consists of easy-used functions that help businesses realise low latency, high reliability, low cost, and high security in their logistics and supply chain system. To cope with the vast generated application data, we invent new data replication, placement, and deduplication techniques to optimise th ....A Data-Centric Mobile Edge Platform for Resilient Logistics & Supply Chain. This project aims to develop a secure mobile edge computing platform for resilient logistic and supply chain management. It consists of easy-used functions that help businesses realise low latency, high reliability, low cost, and high security in their logistics and supply chain system. To cope with the vast generated application data, we invent new data replication, placement, and deduplication techniques to optimise the mobile edge computing platform from the computation, storage, and network aspects. The invented mobile edge computing platform will enable more intelligent business applications for various industries, e.g., IT, manufacturing, and media, to appear, thus benefiting both the economy of Australia.Read moreRead less
Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research ....Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research will include new data privacy models, new privacy-preserving data mining algorithms, and a prototype of cloud data mining software. These will help businesses cut costs for data mining and privacy protection, and provide significant benefits toward helping Australia achieve its national cyber security strategy and potentially provide economic impact from commercialisation of new software technology for the industry partner.Read moreRead less
Talking about place: tapping human knowledge to enrich national spatial data sets. Place descriptions are a common way for people to describe a location, but no current tools are smart enough to understand them. Emergency call centres are risking lives, users of navigation or web services are frustrated and addressing these problems costs billions of dollars per year. This project comes with a novel, interdisciplinary approach to automatically interpret human place descriptions and will develop ....Talking about place: tapping human knowledge to enrich national spatial data sets. Place descriptions are a common way for people to describe a location, but no current tools are smart enough to understand them. Emergency call centres are risking lives, users of navigation or web services are frustrated and addressing these problems costs billions of dollars per year. This project comes with a novel, interdisciplinary approach to automatically interpret human place descriptions and will develop novel methods to capture placenames with their meaning for smarter databases and automatic interpretation procedures. This acquired knowledge will be an important step forward for Australia's data custodians and users. Australia's location information industry will gain a significant advantage on a highly competitive global market.Read moreRead less
Onset Theory: Pushing the design envelope for textile composite structures. This study aims to exploit an innovative physics-based approach to predict the strength of textile composites. This is particularly important in areas such as aircraft design, where drastic weight savings are needed to allow designers to remain competitive in a low-carbon future. Improved theory and design tools will remove conservatism and account for a large part of these weight savings. The new approach is the first t ....Onset Theory: Pushing the design envelope for textile composite structures. This study aims to exploit an innovative physics-based approach to predict the strength of textile composites. This is particularly important in areas such as aircraft design, where drastic weight savings are needed to allow designers to remain competitive in a low-carbon future. Improved theory and design tools will remove conservatism and account for a large part of these weight savings. The new approach is the first to be consistent at all length scales — from atoms to aeroplanes — ensuring relevance for new and evolving composite material systems. A novel understanding of crack initiation in textile laminates is intended to reduce design and certification effort for new aircraft and help to design more efficient airframes at a lower cost.Read moreRead less
Practical unified framework for secure e-consent mechanism for health records. This project is driven by modern applications of cryptography and network security and their applications in securing e-health by enabling secure Personal Health Records (PHRs), which will play an important role in the future healthcare industry.
Cost efficient scheduling of big data application workflows on cloud through information correlation. Information correlation in and between big data application workflows scheduled on the cloud can help to significantly reduce overall scheduling costs by avoiding the execution of many correlated workflow activities. This project aims to systematically investigate such correlation for cost efficient scheduling. The expected outcomes are: establishing information correlation based scheduling rese ....Cost efficient scheduling of big data application workflows on cloud through information correlation. Information correlation in and between big data application workflows scheduled on the cloud can help to significantly reduce overall scheduling costs by avoiding the execution of many correlated workflow activities. This project aims to systematically investigate such correlation for cost efficient scheduling. The expected outcomes are: establishing information correlation based scheduling research and practical solutions for this important cloud and big data research area; benefiting key big data application areas on the cloud, such as hospitals, insurance companies and government information services; and helping to maintain Australia at the forefront of cloud and big data research with innovative industry applications.Read moreRead less
Virtual Environments for Improved Enterprise Software Deployment. This project aims to improve quality assurance for enterprise IT. Enterprise IT systems are highly interconnected and interdependent — a failure in one system can cause a cascade of failures across multiple systems, bringing business to a standstill. The project aims to create new technologies to automate the provisioning of virtual deployment environments to test the enterprise systems. In particular, it aims to develop new metho ....Virtual Environments for Improved Enterprise Software Deployment. This project aims to improve quality assurance for enterprise IT. Enterprise IT systems are highly interconnected and interdependent — a failure in one system can cause a cascade of failures across multiple systems, bringing business to a standstill. The project aims to create new technologies to automate the provisioning of virtual deployment environments to test the enterprise systems. In particular, it aims to develop new methods for the automatic analysis of service interaction traces and the generation of accurate executable service models, without requiring explicit knowledge of them. The automatic analysis and generation should reduce development cost for enterprise IT systems and increase system quality and reliability. The new software deployment technologies from this project aim to significantly reduce the time, effort and cost of system quality assurance activities in software development organisations, and yet produce higher-quality software leading to uninterrupted business operation in end-user organisations across all sectors.Read moreRead less
Insecure Work and the Mental Health of Workers and their Families. This project aims to explore the relationship between insecure work and mental health by applying advanced econometric methods to large survey and administrative datasets, and newly collected survey data. This project expects to provide causal policy-relevant estimates of how insecure work is affecting the wellbeing of workers and their families, and for whom the effects are most harmful. It also expects to inform on how poor men ....Insecure Work and the Mental Health of Workers and their Families. This project aims to explore the relationship between insecure work and mental health by applying advanced econometric methods to large survey and administrative datasets, and newly collected survey data. This project expects to provide causal policy-relevant estimates of how insecure work is affecting the wellbeing of workers and their families, and for whom the effects are most harmful. It also expects to inform on how poor mental health influences the types of jobs that people enter into. This should provide significant benefits, including evidence needed to improve existing workplace and employment programs, and evidence ensuring that assistance is efficiently targeted to those workers and industries with the greatest need.Read moreRead less
Low-Complexity Capacity-Scalable Multiple Antenna Wireless Communications. The project aims to develop innovative solutions for low-complexity, capacity-scalable multiple antenna wireless communications, in order to meet future data rate requirements whilst maintaining a practical system at a sustainable cost. By leveraging delay-Doppler domain channel properties and geometric reciprocity, pragmatic transceiver technologies and innovative delay-Doppler domain signal processing algorithms for cha ....Low-Complexity Capacity-Scalable Multiple Antenna Wireless Communications. The project aims to develop innovative solutions for low-complexity, capacity-scalable multiple antenna wireless communications, in order to meet future data rate requirements whilst maintaining a practical system at a sustainable cost. By leveraging delay-Doppler domain channel properties and geometric reciprocity, pragmatic transceiver technologies and innovative delay-Doppler domain signal processing algorithms for channel prediction and multi-user transmissions will be developed. The outcomes of the project are expected to significantly improve users' data rates with low system complexity and reduced signalling overhead for future wireless communications.Read moreRead less
Privacy preservation for personalised smart devices. The goal of this project is to build a privacy preservation framework for personalised smart devices with both immediate and long-term applications in a range of industries. The novel theoretical contributions include a privacy-preservation mechanism that guards against attacks by intelligent tools, a model and metrics that distinguish between object detection and object recognition, and allowing users to specify their desired level of privacy ....Privacy preservation for personalised smart devices. The goal of this project is to build a privacy preservation framework for personalised smart devices with both immediate and long-term applications in a range of industries. The novel theoretical contributions include a privacy-preservation mechanism that guards against attacks by intelligent tools, a model and metrics that distinguish between object detection and object recognition, and allowing users to specify their desired level of privacy guarantee. Practically, these solutions have clear economic and public-safety benefits. The solutions will accelerate AI device development, advance smart technologies based on individual behaviours, and guarantee personal data privacy against both human attackers and adversarial algorithms. Read moreRead less