Discovery Early Career Researcher Award - Grant ID: DE220100094
Funder
Australian Research Council
Funding Amount
$430,000.00
Summary
A new 3D data model to integrate underground land information in Australia. This project aims to develop a novel 3D digital approach to managing subterranean ownership spaces by referencing these spaces to the physical reality of the underground environment. This project expects to generate new knowledge in the area of underground land administration using new 3D data modelling techniques. Expected outcomes of this project include a new underground 3D data model to improve management and communi ....A new 3D data model to integrate underground land information in Australia. This project aims to develop a novel 3D digital approach to managing subterranean ownership spaces by referencing these spaces to the physical reality of the underground environment. This project expects to generate new knowledge in the area of underground land administration using new 3D data modelling techniques. Expected outcomes of this project include a new underground 3D data model to improve management and communication of physical location and ownership extent of Australia’s underground assets. This should provide significant benefits such as protecting underground assets, decreasing the risk of damaging utilities, avoiding unnecessary disruptions and delays when planning, constructing and managing underground infrastructure. Read moreRead less
Walking the city: Digital infrastructure for pedestrian mobility. Pedestrian access, flow and management are critical for urban life. However, compared to other forms of mobility pedestrian mobility is significantly more complex. Currently, various incompatible pedestrian route graphs in both outdoor and indoor environments render any analysis biased and non-transparent. This project aims to solve this problem by developing a universal and necessarily hierarchical pedestrian route graph to suppo ....Walking the city: Digital infrastructure for pedestrian mobility. Pedestrian access, flow and management are critical for urban life. However, compared to other forms of mobility pedestrian mobility is significantly more complex. Currently, various incompatible pedestrian route graphs in both outdoor and indoor environments render any analysis biased and non-transparent. This project aims to solve this problem by developing a universal and necessarily hierarchical pedestrian route graph to support critical applications such as urban walkability (health), space and asset management (guidance, flow management), and public safety (evacuation). In contrast to conventional algorithms, we will take a novel approach based on human cognition to define this universal graph and then integrate topology and geometry.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH210100048
Funder
Australian Research Council
Funding Amount
$4,980,000.00
Summary
ARC Industry Transformation Research Hub for Resilient and Intelligent Infrastructure Systems (RIIS) in Urban, Resources and Energy Sectors. RIIS will deliver transformational technologies to address Australia’s critical infrastructure needs. It will integrate advances in sensor technology, connectivity, data analytics, machine learning, robotics, smart materials, and reliable models to deliver resilient and adaptive infrastructure systems in urban, energy and resources sectors. All three sector ....ARC Industry Transformation Research Hub for Resilient and Intelligent Infrastructure Systems (RIIS) in Urban, Resources and Energy Sectors. RIIS will deliver transformational technologies to address Australia’s critical infrastructure needs. It will integrate advances in sensor technology, connectivity, data analytics, machine learning, robotics, smart materials, and reliable models to deliver resilient and adaptive infrastructure systems in urban, energy and resources sectors. All three sectors are critical to Australia's prosperity and well-being. It will engage with industry, government, and community to unlock scientific roadblock, deliver foundational skills, and translate research and development to commercial opportunities. Benefits include: improved productivity, competitiveness, resiliency, safety; growth, job creation; technological leadership, and export potential.Read moreRead less
Special Research Initiatives - Grant ID: SR200200227
Funder
Australian Research Council
Funding Amount
$277,000.00
Summary
Indigenous Engineering: interpreting engineering foundations of Budj Bim. The Budj Bim World Heritage Cultural Landscape is internationally recognised for preserving the world’s oldest aquaculture system, which provided an economic and social base for the Gunditjmara people of South-western Victoria for more than six millennia. This project aims to elucidate the engineering processes that enabled the Gunditjmara to site, plan, construct, operate and maintain this aquaculture complex, to show how ....Indigenous Engineering: interpreting engineering foundations of Budj Bim. The Budj Bim World Heritage Cultural Landscape is internationally recognised for preserving the world’s oldest aquaculture system, which provided an economic and social base for the Gunditjmara people of South-western Victoria for more than six millennia. This project aims to elucidate the engineering processes that enabled the Gunditjmara to site, plan, construct, operate and maintain this aquaculture complex, to show how it may have evolved over time, and how it responded to changing social and environmental circumstances. This project will develop geospatial methods to uncover and document the technological foundations of the aquaculture complex, and contribute to the understanding of the Gunditjmara technological knowledge and history. Read moreRead less
Examining multi-level Information Technology (IT) project alignment in government services: the case of contracted employment services. Improved Information Technology (IT) alignment is essential for the delivery of government services within a complex public-private, inter-organisational environment. This project will investigate the extent to which well-aligned IT support systems contribute positively to the efficient and effective delivery of contracted employment services.
Enhancing privacy preserving in dynamic cyberspace. This project aims to develop a novel infrastructure operational monitoring and management strategy to reduce the redundant maintenance actions and achieve a cost-effective approach for civil infrastructure asset management. The project will use multiple social networks as a platform for the project, with the potential for the results to be extended to any dynamic cyberspace. Project outcomes will include a set of new analysis theories and tools ....Enhancing privacy preserving in dynamic cyberspace. This project aims to develop a novel infrastructure operational monitoring and management strategy to reduce the redundant maintenance actions and achieve a cost-effective approach for civil infrastructure asset management. The project will use multiple social networks as a platform for the project, with the potential for the results to be extended to any dynamic cyberspace. Project outcomes will include a set of new analysis theories and tools to facilitate government, companies, individuals, and organisations to enhance their information gathering and privacy-preserving capabilities. This is expected to enhance the credibility of the government and organisations and save the possible financial loss of companies and individuals.Read moreRead less
Detecting Firmware Vulnerabilities in Smart Home Devices. 83% of Australians have smart home devices. 47% claim they have three or more. These devices are easily targeted by cyber-attacks, and searching for their vulnerabilities has become more crucial than ever. Our industry partner GPG is actively looking for ways to detect vulnerabilities in their smart home products, but have not found any existing methods that satisfy three critical requirements: 1) massive search, 2) cross platform detecti ....Detecting Firmware Vulnerabilities in Smart Home Devices. 83% of Australians have smart home devices. 47% claim they have three or more. These devices are easily targeted by cyber-attacks, and searching for their vulnerabilities has become more crucial than ever. Our industry partner GPG is actively looking for ways to detect vulnerabilities in their smart home products, but have not found any existing methods that satisfy three critical requirements: 1) massive search, 2) cross platform detection, and 3) finding unseen vulnerabilities. We therefore propose to use a series of new techniques such as efficient in-memory fuzzing, conditional formulas, and transfer learning to solve the above challenges. The project outcomes will help Australia gain cutting edge techniques in vulnerability detection. Read moreRead less
Next-generation Intelligent Explorations of Geo-located Data . This project aims to build a next-generation intelligent exploration framework over massive geo-located data, varying from points-of-interest to areas-of-interest data, in order to dramatically enhance user experiences when interacting with various forms of geo-located data over maps. Expected outcomes include novel exploration models, efficient and scalable algorithms for retrieving and visualizing the exploration results, online up ....Next-generation Intelligent Explorations of Geo-located Data . This project aims to build a next-generation intelligent exploration framework over massive geo-located data, varying from points-of-interest to areas-of-interest data, in order to dramatically enhance user experiences when interacting with various forms of geo-located data over maps. Expected outcomes include novel exploration models, efficient and scalable algorithms for retrieving and visualizing the exploration results, online updating of personal preferences during the life cycle of exploration, as well as a prototype system to evaluate and demonstrate practical value of the research. It will complement existing map services and significantly benefit many location-aware services, e.g., logistics, health services and urban planning.Read moreRead less
Developing Adversary-Aware Classifiers for Android Malware Detection. Smartphones have become increasingly ubiquitous in people’s everyday life. However, it was reported that one in every five Android applications were actually malware, considering that Android has taken 88% market share of mobile phones. As an effective technique, machine learning has been widely adopted to detect Android malware. However, recent work suggests that deliberately-crafted malware makes machine learning ineffective ....Developing Adversary-Aware Classifiers for Android Malware Detection. Smartphones have become increasingly ubiquitous in people’s everyday life. However, it was reported that one in every five Android applications were actually malware, considering that Android has taken 88% market share of mobile phones. As an effective technique, machine learning has been widely adopted to detect Android malware. However, recent work suggests that deliberately-crafted malware makes machine learning ineffective. In this project, we propose to develop a series of new techniques, such as 1) Android contextual analysis, 2) wrapper-based hill climbing algorithm, and 3) ensemble learning, to solve this problem. The outcomes will help Australia gain cutting edge technologies in adversarial machine learning and mobile security.Read moreRead less