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.

Investigation of Failure Propagation Mechanisms in Complex Systems

The aim of this project is to characterise failure propagation in various kinds of systems such as enterprises (human systems), software and hardware systems, mechanical systems and heterogeneous systems such as system of systems. The models are then used to characterise the fragility and robustness of these systems.

Understanding the first year experience of engineering students

The aim of this project is to investigate the transition experience of students beginning an engineering degree. Of particular interest are the minority groups in engineering: women, mature age students, and at UNSW Canberra, civilian students in an otherwise military cohort.

IoT-enabled project scheduling

Multi-project scheduling is a complex coordination of different resources (i.e. workforce, machines, materials, budgets) in real time and most of the studies are based on limited assumptions—such as each project in a multi-project scheduling is treated as a single project scheduling problem, or simplistically that resources can be transferred between projects without expense and time, or that projects can run without any uncertainties (i.e. under ideal settings).

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.

Satellites provide data and services that are essential to modern society. Our civilian, commercial, and defence capability rely on continued and assured access to space-based infrastructure. The space environment, however, is harsh and represents a significant threat to the operation of such satellites. Collision with space debris, damage to spacecraft components through electrostatic discharge, and communication disruption from atmospheric anomalies are daily threats facing satellite systems and their operators.

Quantum Acoustic Circuit Theory

Acoustics is the study of the propagation of low-frequency mechanical waves in matter. These waves may be quantized, and the study of these waves at the level of their quantum zero-point fluctuations has been termed quantum acoustics. Quantum acoustics has the potential to impact the design of quantum computers.

Quasi-normal modes of electromagnetic and acoustic systems

Many physical systems are usefully described by their modes, which are found by solving an eigenvalue problem. This is also true for nano-photonic structures such as metamaterials, nano-antennas and plasmonic particles. However, many systems have strong radiation or dissipative losses, and violate many assumptions which are valid for closed systems.

The exponential growth of space objects in near-Earth orbit is placing new demands on space traffic management systems. Instead of hundreds to thousands of objects, future space traffic management systems will be required to maintain and provide a space catalogue of thousands to tens of thousands of objects. Essential to enabling this capability is the simultaneous improvement in current force modelling techniques and a reduction in their computational cost. 

 

Artificial Intelligence to Uncover Fish Responses to Disturbed Flows

The mechanisms of aquatic animal swimming become a central issue for researchers and engineers who wish to develop underwater robotics with superior locomotion capability. Aquatic animals suspended in water are subject to the complex nature of three-dimensional flows, which have the potential to perturb the swimming motions of the animals.

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.

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