The fifth generation of mobile communication (5G) is being designed with a trend towards using millimetre frequency bands (mmWave) with a large number of antennas at the transmitter and receiver. Due to its low scattering and reflective nature, mmWave channels are spatially sparse with communication occurring via only a few propagation paths.
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.
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.
Micro aerial robotics has been a nascent research interest due to its vast application potential. There have been a number of potential designs that have been tested including fixed wing, quadrotors, rotatory etc. as a suitable platforms. However these platforms are unsuitable at smaller scales due to a number of factors including aerodynamics inefficiency and limited maneuverability [1&2].
This project aims at identifying current state of the art human systems integration techniques and creation of framework for an overarching or generalized human system integration framework that can be substantiated for different kinds of systems. Human systems integration practices are very domain specific for example healthcare, defence, aerospace etc.
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.
The first challenge in information extraction from optical satellite images of the Earth’s surface is the collection of cloud free images, as one third of this data can be affected by cloud cover. Clouds dramatically affect the signal transmission in complex ways due to their different shapes, heights, and distributions and thus contaminate the data from land and water. Cloudy image restoration is a vital step in the remote sensing image processing chain. Correction of cloudy data can substantially increase the number of useable images and pixels available for later applications such as mapping land cover types and sea surface features. Cloud correction techniques
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.
Learning and teaching fully online is a challenging task as it requires maximum engagement with fellow students and the course convenor to create a sense of online community among distance learners.
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.