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Please take a few minutes to provide your input. The survey closes COB Friday 29 May 2026.
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SenShaMart: A Trusted Internet of Things Marketplace for Sensor Sharing. This project aims to devise a novel Internet of Things (IoT) sensor sharing marketplace that permits IoT applications to discover, integrate, and pay for any IoT sensor data that is made available by other parties. The project will devise highly-scalable sensor classification, query processing, and transactions solutions and incorporate them in a pair of novel blockchains that work in tandem to securely manage all the infor ....SenShaMart: A Trusted Internet of Things Marketplace for Sensor Sharing. This project aims to devise a novel Internet of Things (IoT) sensor sharing marketplace that permits IoT applications to discover, integrate, and pay for any IoT sensor data that is made available by other parties. The project will devise highly-scalable sensor classification, query processing, and transactions solutions and incorporate them in a pair of novel blockchains that work in tandem to securely manage all the information and contracts needed by IoT applications to discover, integrate, pay, and use sensors provided by another parties. These IoT advancements will provide significant economic, environmental, and social benefits via making low-cost and immediate sensing available across the world.Read moreRead less
A ubiquitous system for indoor location-based services. This project aims to design a system capable of providing location-based services in WiFi-enabled indoor buildings. The project expects to address two major challenges hindering such a system, capability to identify a user's location in any indoor venue with minimum manual overhead, and effective data management techniques for indoor data. Expected outcomes of this project include new techniques for managing and utilising indoor location da ....A ubiquitous system for indoor location-based services. This project aims to design a system capable of providing location-based services in WiFi-enabled indoor buildings. The project expects to address two major challenges hindering such a system, capability to identify a user's location in any indoor venue with minimum manual overhead, and effective data management techniques for indoor data. Expected outcomes of this project include new techniques for managing and utilising indoor location data and enhanced international collaborations. The project will support and enhance a wide range of indoor applications such as emergency services, assisted healthcare systems, indoor asset tracking, event planning, indoor venue management, and consumer experience.Read moreRead less
Emerging technologies for enrichment in old age: A critical perspective. This project aims to generate knowledge about older adults' experiences with emerging technologies used for social and emotional enrichment. Technologies like virtual reality are said to offer social benefits for those in advanced old age, but we have limited knowledge about the issues that can impede older adults’ experiences with these technologies and even cause harm for vulnerable users. This project seeks to identify e ....Emerging technologies for enrichment in old age: A critical perspective. This project aims to generate knowledge about older adults' experiences with emerging technologies used for social and emotional enrichment. Technologies like virtual reality are said to offer social benefits for those in advanced old age, but we have limited knowledge about the issues that can impede older adults’ experiences with these technologies and even cause harm for vulnerable users. This project seeks to identify empirically informed strategies for good practice in the design and deployment of emerging technologies for enrichment in old age. This should inform the future ethical design and use of emerging technologies to benefit the social and emotional well-being of older Australians.Read moreRead less
Data Privacy Protection in Wireless Sensor Networks. This project aims to explore a comprehensive solution for the protection of privacy-sensitive data in wireless sensor networks (WSNs) that are vulnerable to hacking. The project expects to use an innovative approach involving multiple data servers to protect sensor data privacy from data collection to data access and analysis. Expected outcomes of this project include new security and privacy models for WSNs in the setting of multiple servers, ....Data Privacy Protection in Wireless Sensor Networks. This project aims to explore a comprehensive solution for the protection of privacy-sensitive data in wireless sensor networks (WSNs) that are vulnerable to hacking. The project expects to use an innovative approach involving multiple data servers to protect sensor data privacy from data collection to data access and analysis. Expected outcomes of this project include new security and privacy models for WSNs in the setting of multiple servers, new secure protocols, privacy-preserving access control and data analysis protocols, and a prototype of a privacy-preserving WSN system. This should provide significant benefits, such as improved security of sensitive data in the healthcare system, military, utilities and telecommunications.
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Privacy-Preserving Collaborative Analytics on Sensitive Data. This project aims to develop efficient solutions that allow multiple institutes to carry out collaborative analytics on aggregated data without revealing their sensitive data to each other. The project expects to remedy acute privacy concerns when institutes share sensitive data across boundaries for collective insights. The expected outcomes include a hybrid trust model with distributed trusts to provide malicious security guarantees ....Privacy-Preserving Collaborative Analytics on Sensitive Data. This project aims to develop efficient solutions that allow multiple institutes to carry out collaborative analytics on aggregated data without revealing their sensitive data to each other. The project expects to remedy acute privacy concerns when institutes share sensitive data across boundaries for collective insights. The expected outcomes include a hybrid trust model with distributed trusts to provide malicious security guarantees, lightweight privacy-enhancing techniques to express rich analytical functionalities, and a system platform for real-world applications. This should provide significant benefits such as facilitating industries to safeguard their customers' data and uplift their businesses in a secure and trustworthy fashion.Read moreRead less
Advanced error control coding techniques for scalable blockchains. The project aims to investigate the application of error-control coding theory in blockchains, focusing on reducing the storage, computation, and communication overheads, as well as increasing the throughput of blockchain networks. The ambition is to develop coding theory in a completely new territory: decentralised, untrusted, and peer-to-peer networks. The intended outcome is to greatly extend the current state of the art of th ....Advanced error control coding techniques for scalable blockchains. The project aims to investigate the application of error-control coding theory in blockchains, focusing on reducing the storage, computation, and communication overheads, as well as increasing the throughput of blockchain networks. The ambition is to develop coding theory in a completely new territory: decentralised, untrusted, and peer-to-peer networks. The intended outcome is to greatly extend the current state of the art of the theory of error-control codes, previously investigated only in the context of centralised architectures, where a server coordinates every task. Practically, the project should provide significant benefits in terms of cost-effectiveness of blockchains, increase in their processing speed, and security enhancement. Read moreRead less
Diagnosis and prediction of business process deviances. This project aims to develop an innovative approach based on process execution semantics, to analyse event data logged by IT systems in order to diagnose and predict business process deviance. Anticipated outcomes include novel business intelligence algorithms producing deviance diagnostics, predictions and recommendations and exposing results via interactive visual analytics. The outcomes are expected to aid process workers in steering bus ....Diagnosis and prediction of business process deviances. This project aims to develop an innovative approach based on process execution semantics, to analyse event data logged by IT systems in order to diagnose and predict business process deviance. Anticipated outcomes include novel business intelligence algorithms producing deviance diagnostics, predictions and recommendations and exposing results via interactive visual analytics. The outcomes are expected to aid process workers in steering business operations towards consistent and compliant outcomes and higher performance, and assist analysts and auditors to explain deviant operations. This should significantly benefit industries such as healthcare, insurance, retail and the government where compliance and integrity management are imperative.Read moreRead less
Wireless Cellular Connectivity for Large Scale Critical Applications. Fostered by continuous technology advances, a vision of the Industrial Internet is emerging, in which equipment, machines, and industrial robots are interconnected to each other and to the cloud, allowing remote control of industrial processes and critical infrastructure, to intelligently optimise their behaviour with minimal human intervention. Moving from the state-of-the-art small pilot projects to a global Industrial Inte ....Wireless Cellular Connectivity for Large Scale Critical Applications. Fostered by continuous technology advances, a vision of the Industrial Internet is emerging, in which equipment, machines, and industrial robots are interconnected to each other and to the cloud, allowing remote control of industrial processes and critical infrastructure, to intelligently optimise their behaviour with minimal human intervention. Moving from the state-of-the-art small pilot projects to a global Industrial Internet requires wireless systems with consistent high reliability, low latency and massive connectivity. In this project we will develop new communication-theoretic principles and technologies for wireless networks meeting the demands of critical industrial and infrastructure applications in the Industrial Internet era.Read moreRead less
Empowering Next-Generation Spatial Digital Twins with Linked Spatial Data. This project aims to design novel algorithms for aligning and querying of spatial data from heterogeneous sources. Spatial data is being generated at an unprecedented rate due to the prevalence of mobile devices and ubiquitous connectivity, which enables a novel application, spatial digital twins. However, harnessing this data in spatial digital twins is hampered by the isolation of data from different sources. The projec ....Empowering Next-Generation Spatial Digital Twins with Linked Spatial Data. This project aims to design novel algorithms for aligning and querying of spatial data from heterogeneous sources. Spatial data is being generated at an unprecedented rate due to the prevalence of mobile devices and ubiquitous connectivity, which enables a novel application, spatial digital twins. However, harnessing this data in spatial digital twins is hampered by the isolation of data from different sources. The project will investigate algorithms to align and query spatial data from heterogeneous sources for high accessibility. It will enable novel applications with advanced spatial analytical querying needs, such as emergency planning, benefiting location-based service providers, urban planners, and emergency management agencies.Read moreRead less
Next Generation Spatial Data Management for Virtual Spatial Systems. This project aims to design novel spatial data retrieval methods for efficient and accurate querying of large datasets with location information. Spatial data is being generated at an unprecedented rate due to the prevalence of mobile devices and ubiquitous connectivity. However, harnessing this data is hampered by outdated and inefficient methods. The project will investigate data retrieval methods that self-optimise for high ....Next Generation Spatial Data Management for Virtual Spatial Systems. This project aims to design novel spatial data retrieval methods for efficient and accurate querying of large datasets with location information. Spatial data is being generated at an unprecedented rate due to the prevalence of mobile devices and ubiquitous connectivity. However, harnessing this data is hampered by outdated and inefficient methods. The project will investigate data retrieval methods that self-optimise for high query efficiency and accuracy, by utilising underlying real-world data patterns. It will enable novel applications for virtual spatial systems with large-scale querying needs, such as spatial digital twins and metaverses, benefiting location-based service providers, urban planners, and emergency management agencies.Read moreRead less