The field of earth observation (EO), or remote sensing, is now facing significant challenges in the processing of image data for end user purposes because of the rapidly escalating numbers of missions and sensors, and because of the range of different types of sensor being orbited.
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.
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.
Risk management is one of the most important skills that pilots are expected to acquire to ensure the safe and successful management of flight. The main aim of this project is to develop a new approach to pilots’ training which emphasizes the integration of new material derived through direct experience into pilots’ behaviour and to test the utility of this new training method for improving novice pilots’ risk-management behaviour (i.e., decision-making). Crucial to this is understanding the cognitive mechanisms that facilitates skill development.
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.
The mechanisms of insect flight become one of central issues for researchers and engineers who wish to develop aerial crafts with superior locomotion capability. One of the most fascinating yet least understood attributes of aerial animals is the uncertainties from environment flow gust as well as insect/wing geometry and kinematics.
Quantum information technology exploits quantum phenomena to create new devices in computation, communication, and metrology. Quantum state of light (or a photon) is a promising information career because of the relative easiness of creations and manipulations of photons, and direct applications to communication.
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.
This PhD work is a part of the project to develop high bandwidth control methods and advanced dynamic modelling for Rotorcraft Unmanned Aerial Vehicles (RUAVs). This will enable new roles such as the precision landing of RUAVs to the moving deck of a ship in rough seas. This and numerous other potential RUAV tasks are presently limited by the simple controllers used for such a responsive dynamic system.
Interconnected control systems are widespread in engineering, defence and communications applications. Examples of such systems include a team of unmanned aerial vehicles pursuing a set of coordinated objectives, a platoon of vehicles on the highway, an array of actuated micro-electromechanical systems (MEMS), to name a few.
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.