Mid-Career Industry Fellowships - Grant ID: IM230100702
Funder
Australian Research Council
Funding Amount
$859,472.00
Summary
Optimising sleep, alertness and safety in shift work industries. This project aims to address the impaired alertness, and high risk of workplace errors and accidents that are associated with sleep loss and circadian misalignment during shift work. The project will deliver an innovative industry-driven digital technology to provide automated, customised sleep management strategies to shift workers, and will develop a framework for effective wide-scale deployment of the technology within Australia ....Optimising sleep, alertness and safety in shift work industries. This project aims to address the impaired alertness, and high risk of workplace errors and accidents that are associated with sleep loss and circadian misalignment during shift work. The project will deliver an innovative industry-driven digital technology to provide automated, customised sleep management strategies to shift workers, and will develop a framework for effective wide-scale deployment of the technology within Australian shift working organisations. The project will close the gap in resources currently available to support sleep in shift workers and will reduce the significant burdens of shift work for alertness, productivity and safety.Read moreRead less
Formal modelling and analysis of software requirements for air traffic management systems for improved integrity assurance. This project will significantly reduce the time and cost of developing software for critical applications such as aviation and air traffic management. As well as improving the trustworthiness of safety-critical computer-based systems, this project will also enable system improvements to be deployed faster and more reliably.
Temporal and spatial Bayesian network modelling for improved fog forecasting. This project aims to improve the accuracy of fog forecasting by explicitly modelling the spatial and temporal uncertainties surrounding fog formation. It is expected weather forecast services will adopt our approach to improve their predictions of fog, which will in turn help transport companies save costs, cut emissions and improve safety.