#engineering
Applying imaging methods and data analytics to explore the listening brain
This Project aims to understand brain circuits and processes supporting communication in individuals with hearing problems, including those who use devices such as hearing aids and cochlear implants. The potential benefits are that individualised strategies based on real-time brain states estimate algorithms to empower listening and support effective communication. The Project will use brain-imaging techniques‚ including those compatible with listening technologies, including electroencephalogram (EEG), to explore the listening brain. The Project will explore brain changes that arise from hearing loss, how changes in brain function – within and beyond the auditory brain – arise to support listening when hearing is impaired, and how these findings can be used as a part of devices such as cochlear implants that engage the rest of the brain to support an individual's listening.
Clinical lab automation with AI human robot interface
This Project will develop an AI-based robotic programming interface based on large-language model that allows practitioners, regardless of their technical expertise, to efficiently program and control robots. The expected outcomes are to improve efficiency in designing and deploying clinical lab automation and to expand the use of robotics within laboratories. This may lead to improvements with workflow for clinical lab automation, particularly during high-demand situations like pandemic outbreaks.
Optimizing NatHERS (Nationwide House Energy Rating Scheme)
This Project aims to improve NatHERS Whole of Home ratings by developing mathematical models for heating and cooling appliances. Expected outcomes are an assessment of various heating and cooling appliances and insights into the most appropriate heating and cooling solutions tailored to specific climate zones. The potential benefit is to enhance the overall energy efficiency and thermal comfort of residential spaces nationwide.
Improving infrastructure risks using satellite radar (InSAR) monitoring with GNSS sensor systems
The objective of this project is to develop and test new methods to integrate next generation satellite radar (InSAR) monitoring for ground motion with Global Navigation Satellite Systems (GNSS) positioning devices. This will focus on test sites where the student will investigate the optimal methods for combining multi-satellite InSAR with a network of Kurloo GNSS devices to provide robust 3D ground motion monitoring from space. The potential benefits may include the development of near-real time 3D hazard monitoring for critical infrastructure, extending to pre-collapse alerts, thus reducing the risk of catastrophic events.
Shaping human and AI collaboration in Security Operations Centres
This project investigates innovative solutions to enhance collaborative intelligence, leveraging human and artificial intelligence affordances, in security operations centres (SOC). The expected outcome is the development of socio-technical artifacts that leverage cyber threat intelligence for enhanced cyber situational awareness and sensemaking in SOCs. The potential benefit is faster and more effective responses to cyber threats in Australia.
Li-ion battery separator material recovery and utilisation
Sodium battery is a promising alternative for energy storage if precious metal prices for making LIB remain high. This Project will mainly focus on the recovery of LIB separator material and explore economic applications of the recovered separator materials, such as turning it into high-value hard carbon for making sodium battery anode material.
Optimising vegetation management and grazing in solar farms
This project aims to use high spatial, spectral and temporal resolution satellite images and artificial intelligence to derive measurements that enhance vegetation management and grazing efficiency in solar farms. The expected outcome is to develop algorithms that can be applied to near real-time satellite data to enable the spatially comprehensive measurements of vegetation growth, grazing patterns overgrazing, curing rating for decision making in monitoring and determining the effectiveness of land management strategies.