The big data revolution is ubiquitous across all industries, and in aviation, big data is also crucial. While many other industries are seeing a great deal of academic research utilising machine learning and other tools to analyse data, there have been limited applications in aviation. The goal of this research will be to look at data driven decision making and other applications of big data in a specific application to the aviation industry.
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 research network coding techniques for satellite communication systems. Specifically, this project will investigate techniques and methods to improve the performance and efficiency of satellite communication systems.
Cyber-Physical Systems (CPS) are becoming the backbone of our critical infrastructure, for example in health care, emergency services, transportation services, and energy management, as well as in many other areas just being envisioned. The core of CPS operation often lies in the use of wireless technologies such as WiFi, Zigbee, Bluetooth, LTE-U, LoRa, and some varieties of 5G.
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.
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.
The pervasive cyber threat to DoDs, public sector and industry means cyber vulnerability and penetration assessment (CVPA) and testing is no longer an option but rather about managing an acceptable risk of how much testing is enough (Christensen, 2017 & 2015).
Modularity as a system property has many benefits for different lifecycle stages of a system. This project is an investigation of a complete set of these benefits as well as a search for optimum formation of the modules for maximum benefit to all or some the identified benefits, at early design stages.
Complex systems are characterized by many future possibilities each with a tiny probability. The traditional risk analysis that considers probability versus impact might not be helpful when the number of futures is too many. This project aims at finding parallel risk management methods based on possibility theory rather than probability theory.
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.
