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.

Microwave and Millimetre-wave Metasurfaces

Metasurfaces are a promising new area of science and technology for the manipulation of electromagnetic waves. They have the potential to replace bulky devices such as lenses with a thin layer of patterned elements, to enable a wave to undergo focussing, steering, polarisation conversation and more general spatial/temporal filtering.

Design and Analysis of Efficient Coding Schemes for Internet of Things

The aim of this project is to research coding techniques for device to device cooperative communications in IoT. Specifically, this project will investigate techniques and methods to improve the throughput and efficiency of the cooperative communications in IoT.

Thermal bow in gas turbine components

Gas turbines bend when the are turned off, due to differential cooling. This thermal bow can damage the engines if they are restarted too early, which will reduce their fatigue life and can ultimately destroy them in flight. It is therefore crucial to the safe operation of current and future engines that we improve our abilities to predict this bow and design it out.

Distributed Artificial Intelligence Agents for Computational Red Teaming

Over the years, we have developed state-of-the-art distributed multi-agent system capable of modelling reciprocal competitive interactions between blue and red teams. Our systems can reason in real-time and explain emerging behaviours. This project will design distributed artificial intelligence algorithms for the agents within our system.

The aim of this project is to design an intelligent control system that can optimise the trajactory of an insect inspired flapping wing system. Owing to the high speed of the flapping, a high bandwidth control system is required which may be implemented on a Field Programmable Gate Array or neuromorphic hardware. Using machine learning and evolutionary techniques, the system will learn how to best control the angle of attack and flapping motion to most efficiently produce thrust.

Variations in solar radiation and solar wind result in variations in the coupled magnetosphere-ionosphere-thermosphere (MIT) system which are referred to as space weather. Changes to this system have several important effects on space and ground based technology; including effects on satellite electronics, satellite orbits, radio signal propagation, and electricity grids. The ability to forecast the effects of space weather events on the MIT system is therefore of great importance to human society.

Machine Learning based Real-time Scheduling

Integrated project planning and scheduling is a hot research topic that has provided a blueprint of project’s success that is based on uninterrupted completion of a project. However, in real production, the project environment changes dynamically because of external and internal fluctuations which create interruptions to the process, due to machine breakdowns, sudden material shortage and so on. These disturbances will mean that the optimal process plan and schedule may become less efficient or even infeasible.

Numerical and experimental Investigation of the biomechanics of nerve damage

Nerve function can be impaired by localised compression of the nerve fibres due to injury or proximal tumour growth. This project will continue our work to develop and implement numerical and experimental techniques to predict the causes and extent of this damage. In particular it will use nonlinear, multi-scale, finite element models to investigate a range of nerve dysfunctions including bitemporal hemianopia and investigate experimental in-vitro techniques to validate these simulations.

Flapping Wing Micro Aerial Robots – (II) Wing Actuation and  Flight-Control

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.

Synchronization of production scheduling and supply chain

The rise of the globalization of manufacturing industries has led to enhanced, decentralized or multi-factory supply chains, which are of considerable interest to both researchers and practitioners. Production scheduling and distribution decisions in decentralized supply chains have become more possible but is very complex—only a few research studies have addressed this problem so far.