Situational Assessment as a Marker of Cognitive Skill Decay. The aim of this study is to test how differences in exposure to complex tasks change the capacity for situational assessment. Amongst drivers, pilots and electricity controllers, the capacity to assess and respond effectively to changes in the operational environment are critical in sustaining performance and ensuring the safety and security of the public. Establishing the nature of this relationship will enable, for the first time, ob ....Situational Assessment as a Marker of Cognitive Skill Decay. The aim of this study is to test how differences in exposure to complex tasks change the capacity for situational assessment. Amongst drivers, pilots and electricity controllers, the capacity to assess and respond effectively to changes in the operational environment are critical in sustaining performance and ensuring the safety and security of the public. Establishing the nature of this relationship will enable, for the first time, objective measures of cognitive skill decay. In evaluating cognitive skill decay more accurately, we will provide a cost-effective, easily administered tool, enabling practitioners to identify and address areas of development and providing data to anticipate when cognitive skill decay is most likely to occur.Read moreRead less
Predicting misdiagnoses in the transition from competence to expertise. This project aims to test whether the utilisation of cues predicts vulnerability to misdiagnosis during skill acquisition. This project uses newly developed measures of cue utilisation, together with innovative, on-line scenarios and a longitudinal design, to measure different types of misdiagnosis amongst qualified radiologists, pathologists and pilots as they acquire expertise. With potential applications in medicine, avia ....Predicting misdiagnoses in the transition from competence to expertise. This project aims to test whether the utilisation of cues predicts vulnerability to misdiagnosis during skill acquisition. This project uses newly developed measures of cue utilisation, together with innovative, on-line scenarios and a longitudinal design, to measure different types of misdiagnosis amongst qualified radiologists, pathologists and pilots as they acquire expertise. With potential applications in medicine, aviation, energy, transportation, and defence, the expected outcomes will facilitate interventions such as targeted training and the provision of technical support, that will guide the diagnostic process and thereby reduce the impact of misdiagnoses on individuals and infrastructure.Read moreRead less
Crashworthiness topology optimisation for light-weight battery compartments. This project uses computational modelling and optimisation methods to the design of battery compartments for electric vehicles. As the use of electric vehicles becomes more extensive, awareness of the consequences of catastrophic failure of high energy battery in a crash has increased. This project will develop novel design methodologies, using multi-disciplinary techniques for battery compartment structure. The methodo ....Crashworthiness topology optimisation for light-weight battery compartments. This project uses computational modelling and optimisation methods to the design of battery compartments for electric vehicles. As the use of electric vehicles becomes more extensive, awareness of the consequences of catastrophic failure of high energy battery in a crash has increased. This project will develop novel design methodologies, using multi-disciplinary techniques for battery compartment structure. The methodology will expand conventional crashworthiness design to the coupled mechanical-electrochemical-thermal problems. The proposed crashworthiness optimisation of battery compartment structure will enhance safety and reliability of electric vehicles, potentially benefiting consumers and manufacturers.Read moreRead less
Trustworthy positioning for intelligent transport systems. This project aims to develop a holistic approach for reliable positioning for Intelligent Transport Systems (ITS). This project will address the challenges of integrity monitoring in ITS when using satellite-based technology, its integration with other sensors, and when supported by the proposed Australia National Positioning Infrastructure. It will consider Australian geography, large area, and sparse population, and emphasise rural tra ....Trustworthy positioning for intelligent transport systems. This project aims to develop a holistic approach for reliable positioning for Intelligent Transport Systems (ITS). This project will address the challenges of integrity monitoring in ITS when using satellite-based technology, its integration with other sensors, and when supported by the proposed Australia National Positioning Infrastructure. It will consider Australian geography, large area, and sparse population, and emphasise rural transport. Expected primary outputs include algorithms, a detailed analysis of required systems and recommendations that will help prepare Australia for the importation of self-driving vehicles.Read moreRead less
Difficulties of monitoring for rare events. This project aims to identify cognitive and neural processes involved in sustaining attention to moving displays under monitoring conditions.People are poor at monitoring for rare events: they tend to miss infrequent targets. This is a problem in automated systems for transport, rail and air traffic control. If a computer error occurs, the operator needs to intervene quickly. This project will develop a tool for studying monitoring and determine patter ....Difficulties of monitoring for rare events. This project aims to identify cognitive and neural processes involved in sustaining attention to moving displays under monitoring conditions.People are poor at monitoring for rare events: they tend to miss infrequent targets. This is a problem in automated systems for transport, rail and air traffic control. If a computer error occurs, the operator needs to intervene quickly. This project will develop a tool for studying monitoring and determine patterns of brain activity that predict a lapse of attention. The results should contribute to theories of vigilance and improve performance in real-world monitoring situations.Read moreRead less
Understanding and improving sustained attention under vigilance conditions. This project aims to address a major global challenge caused by technological advances: human operators have to monitor computer-control (e.g., in autonomous vehicles, rail and airtraffic control) but sustaining attention is very difficult under these conditions. Developing innovative behavioural and neural methods, this internationally collaborative project bridges basic and applied science to understand lapses of atten ....Understanding and improving sustained attention under vigilance conditions. This project aims to address a major global challenge caused by technological advances: human operators have to monitor computer-control (e.g., in autonomous vehicles, rail and airtraffic control) but sustaining attention is very difficult under these conditions. Developing innovative behavioural and neural methods, this internationally collaborative project bridges basic and applied science to understand lapses of attention under monitoring conditions. It creates a novel intervention, based on brain activity patterns, to improve performance. Outcomes will increase our neural understanding of attention and lay a foundation for a novel system to detect lapses of attention in high-risk environments, preventing errors before they occur.Read moreRead less
Quantum Generative Diffusion Models for Molecular Research. This project will devise quantum generative diffusion models to equip classical counterparts with the ability to harness quantum data that naturally arise in molecular research. Theoretical foundations for analysing fast sampling methods with the help of inductive bias regarding the input data and employed circuits will validate efficient quantum generative diffusion models that have training and sampling advantages over classical count ....Quantum Generative Diffusion Models for Molecular Research. This project will devise quantum generative diffusion models to equip classical counterparts with the ability to harness quantum data that naturally arise in molecular research. Theoretical foundations for analysing fast sampling methods with the help of inductive bias regarding the input data and employed circuits will validate efficient quantum generative diffusion models that have training and sampling advantages over classical counterparts. Outcomes include applications in molecular conformation generation, compound screening, and drug design. The innovative research will significantly benefit Australia’s science, industry and health, and will maintain Australia’s global leading role in quantum machine learning and molecular research.Read moreRead less
Improving performance in high risk environments using guided distraction and iconic cues. This project tests a novel strategy to assist operators in high-risk automated environments, in order to maintain their performance in low workload situations. Using guided distraction, this project will be able to show improvements in attention to critical tasks and in overall system performance, thereby reducing the potential for error.
Australian supply chain regulation: practical operation and regulatory effectiveness. This project uses empirical research to examine the practical operation and effectiveness of three innovative Australian regulatory models designed to improve working conditions in supply chains in the clothing, long-haul transport and cash-in-transit industries. The project will result in proposals for reform and improved working conditions.
Response of Vertical Drains in Soft Subgrade under Cyclic Rail Loading. Soft formations (subgrade) can become unstable when subjected to heavy and repeated (cyclic) train loading. This project aims to investigate the cause and mechanisms of undrained instability of soft subgrade soil beneath rail embankments, and to assess the effectiveness of prefabricated vertical drains (PVDs) in stabilising such soils. The role of PVDs to enhance track performance will be quantified via rigorous mathematical ....Response of Vertical Drains in Soft Subgrade under Cyclic Rail Loading. Soft formations (subgrade) can become unstable when subjected to heavy and repeated (cyclic) train loading. This project aims to investigate the cause and mechanisms of undrained instability of soft subgrade soil beneath rail embankments, and to assess the effectiveness of prefabricated vertical drains (PVDs) in stabilising such soils. The role of PVDs to enhance track performance will be quantified via rigorous mathematical techniques complementing a computer-based numerical model, which can be validated by laboratory and field data. It will deliver tangible outcomes for accurately predicting the long-term settlements in soft foundations over prolonged train loading while extending the life span of modern railroad infrastructure.Read moreRead less