From individuals to mass organisation: aggregation, synchronisation and collective movement in locusts. By combining field biology, robotics and mathematics, this project will determine how animals flock or swarm and, in particular, how locust nymphs control their collective movement over their lifetime. The mathematical models derived during the project will be directly applied to controlling outbreaks of locusts in Australia, South and North Africa.
A networked robotic telescope array for coincident detection of transient phenomena in the optical, gravitational wave, neutrino and radio spectra. An international collaboration of scientists will employ a global network of rapid response robotic telescopes and detectors to study exotic transient phenomena in the early Universe. Potential spin-offs include the application of novel image analysis techniques for identifying and tracking dangerous space junk.
Assessing the mechanisms and dynamics of myelination in the brain. This project is expected to refine our understanding of brain plasticity by revealing how myelin plasticity optimises brain function in response to experience. Using a multidisciplinary approach incorporating animal studies, mathematical modelling and computational neuroscience, the project seeks to redefine our understanding of myelin remodelling using an entirely new integrated cell-to-system approach. The expected outcome is f ....Assessing the mechanisms and dynamics of myelination in the brain. This project is expected to refine our understanding of brain plasticity by revealing how myelin plasticity optimises brain function in response to experience. Using a multidisciplinary approach incorporating animal studies, mathematical modelling and computational neuroscience, the project seeks to redefine our understanding of myelin remodelling using an entirely new integrated cell-to-system approach. The expected outcome is fundamental knowledge revealing how myelination is dynamically regulated by neural activity throughout life. This may transform current understanding of neuroplasticity that could aid in the future development of strategies to improve brain health.Read moreRead less
Modelling human perceptual-motor interaction for human-machine applications. This project aims to develop a new modelling framework for identifying the perceptual-motor processes that underlie cooperative and competitive human interaction. The project will also determine whether this modelling framework can be combined with modern machine-learning methods to develop artificial agents capable of human level performance. Expected outcomes will include a practical methodology for rapidly generating ....Modelling human perceptual-motor interaction for human-machine applications. This project aims to develop a new modelling framework for identifying the perceptual-motor processes that underlie cooperative and competitive human interaction. The project will also determine whether this modelling framework can be combined with modern machine-learning methods to develop artificial agents capable of human level performance. Expected outcomes will include a practical methodology for rapidly generating models of effective human interaction that can be easily implemented in human-machine systems. This will provide a richer understanding of the fundamental perceptual-motor processes that support robust human interaction and enhanced the effectiveness of human-machine collaboration and training technologies.Read moreRead less
Advanced materials for space propulsion: satellites and cubesats. Poorly controlled interactions between plasmas and surfaces often mean loss of process efficiency and surface degradation over time. For Hall thrusters, a type of engine used to move satellites in space, this means increased fuel consumption and shorter useful life. Through modelling and experiment, this project will show how intelligent selection of advanced materials and plasma parameters can minimise surface wear, enable in sit ....Advanced materials for space propulsion: satellites and cubesats. Poorly controlled interactions between plasmas and surfaces often mean loss of process efficiency and surface degradation over time. For Hall thrusters, a type of engine used to move satellites in space, this means increased fuel consumption and shorter useful life. Through modelling and experiment, this project will show how intelligent selection of advanced materials and plasma parameters can minimise surface wear, enable in situ material repair to extend device lifetime, and modulate plasma properties to increase thruster efficiency for a given task. These benefits enable reliable propulsion platforms for massive communication and observation satellite networks and deep space exploration.Read moreRead less