Geomechanics of multiple seam mining interactions. This project will address a highly significant and timely problem that has arisen in the coal mining industry. Through the application of scientific principles and advanced methods of engineering analysis, this research will develop practical guidelines that in turn will provide the means for rational planning of multi-seam mining operations.
An experimentally-validated thermo-hydro-mechanical theory for waste containment lining systems. Geosynthetic clay liners are engineering systems that are widely used around the world to protect groundwater from municipal, industrial and mining contaminants. The project will conduct cutting-edge experimental, theoretical and computational research leading to a major improvement in their short-term and long-term performances.
Advanced Machine Learning with Bilevel Optimization. There is an urgent need to develop a new machine learning (ML) paradigm that can overcome data-privacy and model-size constraints in real-world applications. This project aims to develop an advanced paradigm of ML with bilevel optimisation, called bilevel ML. A theoretically-guaranteed fast approximate solver and a new fuzzy bilevel learning framework will be developed to achieve the aim in complex situations; a methodology to transfer knowled ....Advanced Machine Learning with Bilevel Optimization. There is an urgent need to develop a new machine learning (ML) paradigm that can overcome data-privacy and model-size constraints in real-world applications. This project aims to develop an advanced paradigm of ML with bilevel optimisation, called bilevel ML. A theoretically-guaranteed fast approximate solver and a new fuzzy bilevel learning framework will be developed to achieve the aim in complex situations; a methodology to transfer knowledge and an approach to fast-adapt bilevel optimization solutions when required computing resources change. The anticipated outcomes should significantly improve the reliability of ML with benefits for safety learning and computing resource optimisation in ML-based data analytics.Read moreRead less
DeepHoney: Automatic Honey Data Generation for Active Cyber Defence . This project aims to enhance the security of networks and information systems by empowering them with intelligent deception techniques to achieve proactive attack detection and defence. In recent times, the fictitious environment – honeypot designed by human experience becomes popular to attract attackers and capture their interactions. However, rules-based construction of honeypots fails in preserving the privacy, boosting th ....DeepHoney: Automatic Honey Data Generation for Active Cyber Defence . This project aims to enhance the security of networks and information systems by empowering them with intelligent deception techniques to achieve proactive attack detection and defence. In recent times, the fictitious environment – honeypot designed by human experience becomes popular to attract attackers and capture their interactions. However, rules-based construction of honeypots fails in preserving the privacy, boosting the attractiveness and evolving the system. The project expects to advance deep learning and yield novel DeepHoney technologies with associated publications and open-source software. This should benefit science, society, and the economy by building the next generation of active cyber defence systems. Read moreRead less
Combating Fake News on Social Media: From Early Detection to Intervention. The project aims to detect fake news early to minimise the negative impact of false information. This project expects to devise novel solutions to address technical challenges for detection of fake news with scarce signals. Expected outcomes of this project include a suite of data mining and machine learning models for identification of fake news from the social media stream, prediction of user propagation of false infor ....Combating Fake News on Social Media: From Early Detection to Intervention. The project aims to detect fake news early to minimise the negative impact of false information. This project expects to devise novel solutions to address technical challenges for detection of fake news with scarce signals. Expected outcomes of this project include a suite of data mining and machine learning models for identification of fake news from the social media stream, prediction of user propagation of false information as well as recommendation of truthful news to counteract adversarial fake news. This project should generate technologies that enhance the integrity of the online echo system and benefit media providers and online population within Australia and across the world. Read moreRead less
The sparrows in the mining towns: a century of adaptation to contamination. Our research will characterise how contamination from the extraction of precious metals can spread through the environment and how it effects a highly urbanised bird – the house sparrow. In many cases, populations of these birds have been intimately associated with mining operations for over a century, and our recent work has provided evidence of adaptation over time. House sparrows provide a great natural system to unde ....The sparrows in the mining towns: a century of adaptation to contamination. Our research will characterise how contamination from the extraction of precious metals can spread through the environment and how it effects a highly urbanised bird – the house sparrow. In many cases, populations of these birds have been intimately associated with mining operations for over a century, and our recent work has provided evidence of adaptation over time. House sparrows provide a great natural system to understand the genetic potential of organisms to adapt to anthropomorphic change in the environment connected with the resources industry. Our work, will bring new insight into the future management of environmental contamination, and the mitigation of adverse effects arising from resource extraction.Read moreRead less
Non-differentiable Energy Minimisation For Modelling Fractured Porous Media. This project is aimed at advancing theoretical, computational and experimental bases for the fracturing of geomaterials, and providing scientists and engineers with much needed predictive tools for quantitative assessment of the responses. By incorporating previously neglected aspects such as energy minimisation, advanced constitutive modelling, and non-planar interacting fracture growth, confidence in the design and pl ....Non-differentiable Energy Minimisation For Modelling Fractured Porous Media. This project is aimed at advancing theoretical, computational and experimental bases for the fracturing of geomaterials, and providing scientists and engineers with much needed predictive tools for quantitative assessment of the responses. By incorporating previously neglected aspects such as energy minimisation, advanced constitutive modelling, and non-planar interacting fracture growth, confidence in the design and planning of engineering processes in fractured porous media will be increased to the point that costly over/under designs are avoided. Through the use of the tools developed, it will be possible to detect weaknesses in the design, assess the impact and implement effective measures to improve performance.Read moreRead less
Robustness-oriented and serviceable design of innovative modular buildings. This project aims to unlock the full potential of prefabricated modular buildings through innovative framing solutions in combination with new evaluation methods to enhance serviceability and improve safety under extreme events. Advanced 3D hybrid testing and analysis will be used to create new knowledge on the complex system-level dynamic behaviour of modular buildings. The expected outcome of this project will lead to ....Robustness-oriented and serviceable design of innovative modular buildings. This project aims to unlock the full potential of prefabricated modular buildings through innovative framing solutions in combination with new evaluation methods to enhance serviceability and improve safety under extreme events. Advanced 3D hybrid testing and analysis will be used to create new knowledge on the complex system-level dynamic behaviour of modular buildings. The expected outcome of this project will lead to safe, affordable, and environmentally sustainabe modular building construction. The project will provide significant benefits to designers, manufacturers and regulators to improve the resilience of the building stock and to support greater design and manufacturing innovations.Read moreRead less
Fundamental theoretical and experimental investigation of cartilage mechanics. Arthritis and chronic joint symptoms are one of the leading causes of disability in the community, yet a fundamental understanding of joint mechanics has yet to be realised. The aim of this project is to develop a new state-of-the-art mathematical model describing cartilage behaviour in humans. The model will explain how activities like walking maintain healthy cartilage by transferring growth factors through the tiss ....Fundamental theoretical and experimental investigation of cartilage mechanics. Arthritis and chronic joint symptoms are one of the leading causes of disability in the community, yet a fundamental understanding of joint mechanics has yet to be realised. The aim of this project is to develop a new state-of-the-art mathematical model describing cartilage behaviour in humans. The model will explain how activities like walking maintain healthy cartilage by transferring growth factors through the tissue, and quantitatively explain how wear is minimised in cartilage through weeping lubrication. This model will progress our understanding of cartilage mechanics in health and disease, and so help Australians age well and productively.Read moreRead less
Microstructure-Based Computational Homogenization of Geomaterials. This project seeks to establish a basis for virtual testing of materials. This type of non-destructive testing has numerous applications of obvious benefit to society and will contribute to the continued growth and development of a large number of industries in Australia and worldwide. The methods developed will allow for cheaper, faster, and more accurate testing of materials. The outcomes of the project can find direct applicat ....Microstructure-Based Computational Homogenization of Geomaterials. This project seeks to establish a basis for virtual testing of materials. This type of non-destructive testing has numerous applications of obvious benefit to society and will contribute to the continued growth and development of a large number of industries in Australia and worldwide. The methods developed will allow for cheaper, faster, and more accurate testing of materials. The outcomes of the project can find direct application in civil engineering as well as in environmental, mining and petroleum engineering which together make up a significant portion of the nation's industry.Read moreRead less