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.
Special Research Initiatives - Grant ID: SR180100023
Funder
Australian Research Council
Funding Amount
$940,000.00
Summary
Thermal decomposition of PFAS. This project aims to investigate the thermal decomposition of per- and poly-fluroalkyl substances (PFAS). The project will focus on the catalytic destruction of PFAS reactions at elevated temperatures, which is expected to transform PFAS in a controlled and predictable way into benign products. By understanding the fate of these compounds during thermal decomposition, the project will allow the development of a new technology aimed at treating materials which have ....Thermal decomposition of PFAS. This project aims to investigate the thermal decomposition of per- and poly-fluroalkyl substances (PFAS). The project will focus on the catalytic destruction of PFAS reactions at elevated temperatures, which is expected to transform PFAS in a controlled and predictable way into benign products. By understanding the fate of these compounds during thermal decomposition, the project will allow the development of a new technology aimed at treating materials which have been contaminated with or have been used as absorbants for PFAS. The project will provide the technical underpinning of a new technology developed to treat fluorochemical-contaminated material and, in doing so, reduce the environmental impact of these contaminants.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
Discovery Early Career Researcher Award - Grant ID: DE190101118
Funder
Australian Research Council
Funding Amount
$339,000.00
Summary
High performance density-based clustering in parallel environments. This project aims to conduct a comprehensive study on density-based clustering to improve data management in parallel computing environments. Clustering, a fundamental task in data management, is to group a set of objects such that objects in the same group (called a cluster) are more similar to each other than those in other groups in order to simplify retrieval of similar information. Clustering is widely used in many fields i ....High performance density-based clustering in parallel environments. This project aims to conduct a comprehensive study on density-based clustering to improve data management in parallel computing environments. Clustering, a fundamental task in data management, is to group a set of objects such that objects in the same group (called a cluster) are more similar to each other than those in other groups in order to simplify retrieval of similar information. Clustering is widely used in many fields including machine learning, pattern recognition, information retrieval, bioinformatics and image analysis. It is expected that the developed clustering techniques will provide significant performance improvements in industry sectors where decisions are made based on clustering data analytics, such as the sectors of finance, renewable energy and artificial intelligence.Read moreRead less
Re-engineering enterprise systems for microservices in the cloud. This project will enable automatic re-engineering of large enterprise applications to run in modern cloud environments as microservices. Microservices are the latest wave of service-based software, capable of exploiting the high performance and third-party integration opportunities made available through the cloud. The project will develop new techniques for analysing enterprise systems code and execution data, and making recommen ....Re-engineering enterprise systems for microservices in the cloud. This project will enable automatic re-engineering of large enterprise applications to run in modern cloud environments as microservices. Microservices are the latest wave of service-based software, capable of exploiting the high performance and third-party integration opportunities made available through the cloud. The project will develop new techniques for analysing enterprise systems code and execution data, and making recommendations for restructuring suitable parts as microservices. These microservices manage individual business objects via sets of lightweight distributed computational operations. The outcomes will support progressive evolution of an enterprise system, into distributed microservices running in public clouds, while still being integrated with "backend" systems.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220100429
Funder
Australian Research Council
Funding Amount
$406,177.00
Summary
Bioinspired Photocatalysts for Solar-Driven Hydrogen Peroxide Production. This project aims to develop advanced photocatalysts that can efficiently produce hydrogen peroxide from just water, air, and sunlight. By mimicking the structure and function of the natural photosynthetic apparatus, the key innovations are expected in the design of reaction-oriented conjugated polymer-based photocatalysts at the atomic and molecular nanostructure levels. It expects to generate new knowledge in artificial ....Bioinspired Photocatalysts for Solar-Driven Hydrogen Peroxide Production. This project aims to develop advanced photocatalysts that can efficiently produce hydrogen peroxide from just water, air, and sunlight. By mimicking the structure and function of the natural photosynthetic apparatus, the key innovations are expected in the design of reaction-oriented conjugated polymer-based photocatalysts at the atomic and molecular nanostructure levels. It expects to generate new knowledge in artificial photosynthesis and rational design of functional materials, and sustainable technology for hydrogen peroxide production. This cross-disciplinary research will benefit Australia by the development of biomimetic catalysts for advancing solar energy conversion and enabling sustainable manufacturing of commodity chemicals. Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC200100022
Funder
Australian Research Council
Funding Amount
$4,883,406.00
Summary
ARC Training Centre for Information Resilience. The proposed centre aims at building workforce capacity in Australian organisations to create, protect and sustain agile data pipelines, capable of detecting and responding to failures and risks across the information value chain in which the data is sourced, shared, transformed, analysed and consumed. Building on strong foundations of responsible data science, the centre will bring together end-users, technology providers, and cutting-edge researc ....ARC Training Centre for Information Resilience. The proposed centre aims at building workforce capacity in Australian organisations to create, protect and sustain agile data pipelines, capable of detecting and responding to failures and risks across the information value chain in which the data is sourced, shared, transformed, analysed and consumed. Building on strong foundations of responsible data science, the centre will bring together end-users, technology providers, and cutting-edge research, to lift the socio-technical barriers to data driven transformation and develop resilient data pipelines capable of delivering game-changing productivity gains that position Australian organisations at the forefront of technology leadership and value creation from data assets. Read moreRead less
Embedding Enterprise Systems in IoT Fog Networks through Microservices. The project will enable automated re-engineering of enterprise systems, to allow them to reused in Internet-of-Things (IoT) applications. It will support efficient ways in which the core business logic of these large scale and monolithic systems can be extended into resource control and data sensing functions managed through the IoT. The project will develop a novel, fine-grained software architecture style suitable for loca ....Embedding Enterprise Systems in IoT Fog Networks through Microservices. The project will enable automated re-engineering of enterprise systems, to allow them to reused in Internet-of-Things (IoT) applications. It will support efficient ways in which the core business logic of these large scale and monolithic systems can be extended into resource control and data sensing functions managed through the IoT. The project will develop a novel, fine-grained software architecture style suitable for localised IoT execution, through microservices executing autonomously on nodes of IoT fog networks. It will develop new techniques for automated discovery of microservices from enterprise systems and the verification of future-state system execution based on current-state behavioural and other properties such as security.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC200100023
Funder
Australian Research Council
Funding Amount
$4,920,490.00
Summary
ARC Training Centre for The Global Hydrogen Economy. The centre aims to transform Australia into a hydrogen powerhouse by building enabling capacity in hydrogen innovation in a short timeframe. Australia is well-positioned to capitalise on the emerging global growth of hydrogen, however to be competitive and produce at scale, we need cost-effective hydrogen technologies and capabilities for transitioning hydrogen into industries. This innovative, five-year program will generate new technologies ....ARC Training Centre for The Global Hydrogen Economy. The centre aims to transform Australia into a hydrogen powerhouse by building enabling capacity in hydrogen innovation in a short timeframe. Australia is well-positioned to capitalise on the emerging global growth of hydrogen, however to be competitive and produce at scale, we need cost-effective hydrogen technologies and capabilities for transitioning hydrogen into industries. This innovative, five-year program will generate new technologies and equip a future workforce of industry-focused engineers with advanced skills for development and scaling-up of hydrogen generation and transport. Benefits include: export of hydrogen fuel and advanced technologies; job creation; and a lower emissions domestic energy industry.Read moreRead less