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.

Network Coding for Ultra-Low Latency Communications

The aim of this project is to research network coding techniques for ultra-low latency communication systems. Specifically, this project will investigate techniques and methods to improve the latency performance and efficiency of future low-latency wireless communication systems.

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.

Real-time Distributed Lifelong Optimisation Algorithms for Swarm Intelligence

A swarm is a group of decentralized decision nodes that need to coordinate and synchronise actions to achieve an effect. One example is in computer Ad-hoc networks where the nodes need to swarm to maximise network throughput. This project aims at designing and proving optimality conditions for new optimisation algorithms.

Urbanization monitoring using multisource remote sensing imagery for the development of smart cities

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.

Design and Analysis of Efficient Coding Schemes for Internet of Things

The aim of this project is to research coding techniques for device to device cooperative communications in IoT. Specifically, this project will investigate techniques and methods to improve the throughput and efficiency of the cooperative communications in IoT.

Probabilistic Systems Engineering Model: Synthesis and Validation

The aim of this project is to synthesize building blocks of a Probabilistic Systems Engineering Model and its validation. The model would be based on probabilistic success in execution of systems engineering task and resulting rework.

Investigating Best Practices in Human-Systems Integration and Engineering Methodologies

This project aims at identifying current state of the art human systems integration techniques and creation of framework for an overarching or generalized human system integration framework that can be substantiated for different kinds of systems. Human systems integration practices are very domain specific for example healthcare, defence, aerospace etc.

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.


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.