The Southern Hemisphere radar stations in Australia (Tidbinbilla, Parkes and Narrabri) provide a good platform to detect asteroids and study their trajectories and properties. Based on real measurements obtained through these stations, the project aims at providing signal processing tools to analyse planetary radar signals of near-earth objects, i.e., asteroids.
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 contemporary enterprises, single project settings are rare today. Hence, issues involving the simultaneous management of multiple projects (or portfolio of projects) have become more prevalent. Up to 90 % of all projects worldwide are executed in a multi-project context (i.e., portfolio of projects). This portfolio of projects (POP) is considered as the simultaneous scheduling of two or more projects which demand the same scarce resources.
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.
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.
Understanding the aerodynamic interaction between Low Earth Orbit (LEO) objects and the space environment is essential for enabling precise orbit determination and prediction capabilities necessary for future space traffic management systems. Recent research at UNSW Canberra has shown that the charged aerodynamic interaction between Low Earth Orbit (LEO) objects and the ionosphere (i.e. ionospheric aerodynamics) is neither negligible nor well understood.
With the increasing availability of remote sensing data recorded from multiple sources, comprehensive digitalization of urbanization processes becomes possible, aiming to provide quantitative information for smart city development. Most of the existing approaches for urbanization monitoring, however, are based on individual sensors with limited observation.
The aim of this project is to design an intelligent control system that can optimise the trajactory of an insect inspired flapping wing system. Owing to the high speed of the flapping, a high bandwidth control system is required which may be implemented on a Field Programmable Gate Array or neuromorphic hardware. Using machine learning and evolutionary techniques, the system will learn how to best control the angle of attack and flapping motion to most efficiently produce thrust.