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.

Achieving appreciable thrust for both cruise and accelerating flight in scramjet engines is only half the solution for a viable engine. Equally important, is the design and validation of a vehicle structure capable of withstanding the sustained high thermal loads, and the resulting thermally induced structural stresses.

This project experimentally investigates flame holding mechanisms under supersonic flight conditions, including wall conditions. Experiments will be conducted in UNSW Canberra facilities with numerical reproduction.

Performance of axial flow hydrocyclones

Axial flow hydrocyclones have both exits in the same direction unlike the reverse flow hydrocyclones that are commonly used in industry. Early work has shown that axial flow hydrocyclones can reduce pressure drop and the challenge is to optimise the design of the vortex finder and the outlets to improve the separation efficiency so that the axial flow hydrocyclones can be used to separate a wide range of materials including coal, minerals, and waste effluent.

Leaching and recovery of elements from CCA timber

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.

Deep Learning and Neural Networks for Multi-modal Human-Swarm Data Fusion

A human-swarm interaction generates very large real-time data streams including image, voice, EEG, human physiological data, task and swarm data, and interaction data. In our paper below, we took steps towards fusing two sources of data, images and timeseries/signal sensorial data. This project will need to systematically develop deep learning and neural network models and architectures to design general deep networks for multi-modal data fusion.

Sedentary life style associated with contemporary society leads to long term health related problems including type II diabetes and cardiovascular disease. Exertion based game controller systems have proven to be effective in reducing sedentary gaming hours and transforming them into active work-outs. While short term positive health related outcomes have been reported such as elevated heart rates, such systems have inherent challenges that prevent them being adapted as everyday game controller systems, or part of an exercise regime.

Numerical simulations of surgically changed arteries

In this program, computational structure/structure dynamics and model experiments will be integrated to study the structure dynamic responses, turbulence flows and local stresses with long-term goal of exploring clinic applications. There are more than 30,000 patients receiving artery related implants in Australia, incurring substantial cost for treating and nursing these patients.

An FRP sandwich structure consists of two high strength composite skins separated by a core material. Inserting a core material between the laminates increases the stiffness of the panel without increasing its weight. FRP sandwich panels are very popular in the aerospace and automotive industries, and various core materials, such as balsa, PVC, PET, honeycomb, are available to satisfy the needs of these industries.

Intelligent Home Network Performance and Security Analysis

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.

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