The Southern Hemisphere radar stations in Australia (Tidbinbilla, Parkes and Narrabri) provide a good platform to detect asteroids and study their trajectories and properties. Based on real measurements obtained through these stations, the project aims at providing signal processing tools to analyse planetary radar signals of near-earth objects, i.e., asteroids.
PhD Projects SEIT
Scholarships of $35,000 (AUD) are available for PhD students who have achieved Honours 1/High Distinction in their UG program and/or have completed a Masters by Research.
The Air Traffic Environment is changing, with many exciting concepts being introduced across the globe. The group developed an efficient simulation environment for this purpose. The objective of this project is to design and implement a new simulation environment with new features. Because of confidentiality, these features won’t be discussed here, but they represent challenges that need to be overcome.
Improving forecasts of space weather has been identified as a major goal for the space community. Space weather has substantial effects on space and ground operations, yet accurate forecast lead times are typically only a few hours to days at most. The goal of this PhD is to improve our understanding and forecasting capability of space weather through physics-based models and/or machine learning.
This project aims to develop effective estimation and control methods using machine learning for quantum systems. Benchmarking and controlling quantum systems have been an important task in next generation technology. However, efficient methods for the estimation and control of complex quantum systems are lacking.
Quantum mechanics was developed as a theory of atomic behaviour. It was soon applied to light, assemblies of atoms, and subatomic particles. More recently, electrical circuits and mechanical systems operating in the quantum regime have been realized. This raises the question as to what, if any, are the ultimate limits to the application of quantum mechanics to physical systems.
Broadband service providers receive many help‐desk calls because of networking issues in their customers' homes, and ever more of those are related to wireless technologies and security issues.
The project is concerned with the development of a modelling approach to the simulation of the dynamic response of thin-walled composite structural components subjected to crushing loads. The progressive damage model should be developed and implemented into a FE code using a material characterisation process that is based on the material’s experimentally recorded behaviour.
The role of robotic systems including miniature unmanned autonomous vehicles is expected to grow significantly in the near future. With rapid advancement in sensor and robotic technologies, unmanned aerial vehicles are envisaged to be assigned various tasks including disaster monitoring, product delivery and, surveillance and reconnaissance.
Wood-cement composites particleboards are made of wood chips combined with a cementitious material. Usually, they are manufactured into panels for use by the construction industry in applications such as walls, roof sheathing and tiles, floor, and sound barriers. They have been around for a very long time. However, it is only in recent years that there is a renewed interest in their use. Indeed, because of their excellent thermos-physical properties these panels are ideal candidates for use in green buildings. They are environmentally friendly because they can sequester carbon within.
Copper chrome arsenic (CCA) timber is a major waste that is currently being stockpiled around Australia. The strict environmental restrictions on their disposal means that this stockpile will increase annually. This project looks at optimising the choice of acids for leaching of CCA from the timber, an understanding of the rate processes and chemical equilibrium that determine the extraction efficiency of those elements, and the recovery of the copper, chromium and arsenic from the waste stream.