This project involves the use of laser-based methods to investigate time-dependent population distributions in laser-induced plasmas. Such plasmas have applications in fuel ignition studies, sterilisation and chemical treatment, but their fundamental behaviour is still very poorly understood, even in simple gases such as Argon.
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 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.
Conventional authentication mechanism relies on password or possession of token. However, password and token cannot genuinely identify a person as both password and token can be presented by someone else. Biometrics such as fingerprint, face, iris etc are quite uniquely representing individual. Therefore they are good tools for identity authentication. This project investigates latest biometrics authentication technology, i.e., 3D fingerprint identification.
This project aims at addressing the lack of high-quality three-dimensional data suitable for benchmarking offshore structures and advanced marine vehicles impacting with water in a 3D regime, as well as establishing an understanding of the key elements influencing the severity of slamming loads. It also aims to evaluate the accuracy of numerical techniques by utilising Computational Fluid Dynamics (CFD) simulations to predict the magnitude of wetdeck slamming forces and pressure distributions, thus allowing designers to improve the fixed, floating and moving marine structures.
In the presence of increasingly dynamic environments, frequent uncertainties, high customer specifications, strict project deadlines, and stricter requirements on sustainability and scarcity of resources, modern project managers are challenged in their ability to schedule and control projects. Thus, in the context of sustainable project scheduling context, two important elements are to be considered as decision variables: the input elements of a scheduling (e.g.
The aim of this project is to synthesize building blocks of a Probabilistic Systems Engineering Model and its validation. The model would be based on probabilistic success in execution of systems engineering task and resulting rework.
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.
We have developed methods to free fly highly-instrumented, scaled models at hypersonic conditions in wind tunnels to determine their aerodynamic performance. This project will extend that work to fly multiple bodies, in close proximity, to examine a range of phenomena including stage separations and stores release, as well as the reentry break up of satellites and meteorites.
Cyber-Physical Systems (CPS) are becoming the backbone of our critical infrastructure. The core of CPS operation often lies in the use of wireless technologies, such as WiFi, Bluetooth, LoRa, and 5G, that use unlicensed frequency bands. This means that any third party may use these frequencies as well, introducing mutual interference.