Industrial Transformation Training Centres - Grant ID: IC190100017
Funder
Australian Research Council
Funding Amount
$3,703,664.00
Summary
ARC Training Centre for Integrated Operations for Complex Resources. This Training Centre aims to increase value in mining through clever applications of ‘lean processing’ and train the next generation of scientists and engineers in advanced sensors and data analytics in complex resources; knowledge priorities for the mining industry. Sensor information will be linked to the resource’s in-place knowledge to enable data analytics of all embedded knowledge. Processing can then be tuned to resource ....ARC Training Centre for Integrated Operations for Complex Resources. This Training Centre aims to increase value in mining through clever applications of ‘lean processing’ and train the next generation of scientists and engineers in advanced sensors and data analytics in complex resources; knowledge priorities for the mining industry. Sensor information will be linked to the resource’s in-place knowledge to enable data analytics of all embedded knowledge. Processing can then be tuned to resource attributes, maximising value ‘on the fly’. Benefits will include increasing certainty on product quality and maximising throughput and recovery. Outcomes will include new tools to rapidly model geological and geometallurgical uncertainty with sensor inputs, to track the resource to product and enhance interpretation.Read moreRead less
Defending AI based FinTech Systems against Model Extraction Attacks. This project aims to develop new methods for defending artificial intelligence (AI) based FinTech systems from highly potent and insidious model extraction attacks whereby an adversary can steal the AI model from the system to cause intellectual property (IP) violation, business advantage disruption, and financial loss. This can be achieved by examining various attack models, creating active and utility-preserving defences, and ....Defending AI based FinTech Systems against Model Extraction Attacks. This project aims to develop new methods for defending artificial intelligence (AI) based FinTech systems from highly potent and insidious model extraction attacks whereby an adversary can steal the AI model from the system to cause intellectual property (IP) violation, business advantage disruption, and financial loss. This can be achieved by examining various attack models, creating active and utility-preserving defences, and inventing non-removable watermarks on AI models. The outcomes are new tools for securing AI-based FinTech systems before deployment and tools for IP violation forensics post-deployment. Such capabilities are beneficial by improving the security and safety of FinTech systems and other nationally critical AI systems.Read moreRead less
Goal pursuit decisions under environmental and social uncertainty. This project aims to develop an integrative computational model that explains how people prioritise the allocation of resources to different goals in the face of uncertainty. The project seeks to test a new theory through a series of experiments in which participants pursue goals by themselves in unpredictable environments, or in competition against an opponent. Expected outcomes include an integrated theory that accounts for the ....Goal pursuit decisions under environmental and social uncertainty. This project aims to develop an integrative computational model that explains how people prioritise the allocation of resources to different goals in the face of uncertainty. The project seeks to test a new theory through a series of experiments in which participants pursue goals by themselves in unpredictable environments, or in competition against an opponent. Expected outcomes include an integrated theory that accounts for the effects of both environmental and social uncertainty in the pursuit of multiple goals. Intended benefits include the development of computational models that can simulate human decision making in complex environments, analyse new concepts of operation, redesign work roles, and identify factors that reduce risk in decision-making.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100883
Funder
Australian Research Council
Funding Amount
$452,777.00
Summary
The cognitive science of farsighted deliberation. Many fundamental decisions in life require us to deliberate about sooner versus later consequences. This cognitive psychology project aims to determine how the capacities that enable people to think about the future (prospection) and reflect on their own thinking (metacognition) influence how they manage such decisions. By using innovative methods, this project is expected to advance our understanding of future-oriented cognition across the lifes ....The cognitive science of farsighted deliberation. Many fundamental decisions in life require us to deliberate about sooner versus later consequences. This cognitive psychology project aims to determine how the capacities that enable people to think about the future (prospection) and reflect on their own thinking (metacognition) influence how they manage such decisions. By using innovative methods, this project is expected to advance our understanding of future-oriented cognition across the lifespan. Expected outcomes include new knowledge about how people deliberate through important everyday decisions. This should provide significant benefits by laying the foundation for improving effective choices about the future.Read moreRead less
Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while pres ....Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while preserving the data privacy. These tools should provide significant benefits to the privacy of cloud users, as well as financial and reputation benefits to the IT industry, by significantly reducing the likelihood of massive user data privacy breaches in the event of a cyber-hacking attack on the cloud server.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160101137
Funder
Australian Research Council
Funding Amount
$373,536.00
Summary
The whole is greater than its parts: Improving rail safety through teamwork. This project seeks to develop a train driving risk model that includes human factors, to enable rail organisations to better identify and mitigate safety risks. Train driving is a cognitively demanding task in which errors can quickly lead to catastrophic consequences. Signals passed at danger (SPADs) occur when a train goes past a red light. Despite significant investment in better signalling and communications infrast ....The whole is greater than its parts: Improving rail safety through teamwork. This project seeks to develop a train driving risk model that includes human factors, to enable rail organisations to better identify and mitigate safety risks. Train driving is a cognitively demanding task in which errors can quickly lead to catastrophic consequences. Signals passed at danger (SPADs) occur when a train goes past a red light. Despite significant investment in better signalling and communications infrastructure, SPAD rates remain unacceptably high and are projected to rise. SPAD risk is currently managed with a retrospective approach that fails to consider non-technical human factors such as time pressure, workload and team communications. By including non-technical dimensions, this project seeks to develop a comprehensive model to explain and prevent SPADs.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100477
Funder
Australian Research Council
Funding Amount
$421,554.00
Summary
Advancing Human Perception: Countering Evolving Malicious Fake Visual Data. The aim of this project is to provide new effective and generalisable deepfake detection methods for automatically detecting maliciously manipulated visual data generated by misused artificial intelligence (AI) techniques. It will present innovative computer vision and image processing knowledge and techniques, enabling the developed methods to advance human perception in recognising fake data, enhance cybersecurity, and ....Advancing Human Perception: Countering Evolving Malicious Fake Visual Data. The aim of this project is to provide new effective and generalisable deepfake detection methods for automatically detecting maliciously manipulated visual data generated by misused artificial intelligence (AI) techniques. It will present innovative computer vision and image processing knowledge and techniques, enabling the developed methods to advance human perception in recognising fake data, enhance cybersecurity, and protect privacy in AI applications. The anticipated outcomes should provide significant benefits to a wide range of applications, such as providing timely alerts to the media, government organisations, and the industry about misleading fake visual data, and preventing financial crimes on synthetic identity fraud.Read moreRead less
Gaining control of the future: The cognitive development of foresight. Because humans can anticipate their limitations, they can act in the present to shape their future for the better.
This project aims to chart four key developmental processes by which children gain this control over their future
outcomes. It will use novel experimental paradigms to map children’s growing ability to compensate for their limits
with strategic planning, and to improve their future capacities by acquiring new kno ....Gaining control of the future: The cognitive development of foresight. Because humans can anticipate their limitations, they can act in the present to shape their future for the better.
This project aims to chart four key developmental processes by which children gain this control over their future
outcomes. It will use novel experimental paradigms to map children’s growing ability to compensate for their limits
with strategic planning, and to improve their future capacities by acquiring new knowledge and innovating
technical solutions. The cognitive underpinnings of these critical behaviours are still poorly understood. This
project will therefore provide the essential empirical foundation for fostering the development of wiser, more
skilled, and more innovative young people.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200101130
Funder
Australian Research Council
Funding Amount
$426,770.00
Summary
Beyond Response Time and Choice: Understanding Changes of Mind in Decisions. The project aims to provide novel experimental insight into how people change their minds during decisions, through identifying the cognitive architecture that reflects the behaviour that we observe from people. The project is significant because it provides a substantially deeper understanding of the cognitive decision process and how it changes over time, as opposed to previous research focusing on only the final resp ....Beyond Response Time and Choice: Understanding Changes of Mind in Decisions. The project aims to provide novel experimental insight into how people change their minds during decisions, through identifying the cognitive architecture that reflects the behaviour that we observe from people. The project is significant because it provides a substantially deeper understanding of the cognitive decision process and how it changes over time, as opposed to previous research focusing on only the final response that people make. The expected outcome is a comprehensive understanding of the human decision process through cognitive models that provide an accurate reflection of this mental process. The benefit is an improved understanding of decisions, which are a fundamental part of everyday human life.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