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.
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.
Copper chrome arsenic (CCA) timber is a major waste that is currently being stockpiled around Australia. The strict environmental restrictions on their disposal means that this stockpile will increase annually. This project looks at optimising the choice of acids for leaching of CCA from the timber, an understanding of the rate processes and chemical equilibrium that determine the extraction efficiency of those elements, and the recovery of the copper, chromium and arsenic from the waste stream.
This project aims at addressing the lack of high-quality three-dimensional data suitable for benchmarking offshore structures and advanced marine vehicles impacting with water in a 3D regime, as well as establishing an understanding of the key elements influencing the severity of slamming loads. It also aims to evaluate the accuracy of numerical techniques by utilising Computational Fluid Dynamics (CFD) simulations to predict the magnitude of wetdeck slamming forces and pressure distributions, thus allowing designers to improve the fixed, floating and moving marine structures.
Cyber-Physical Systems (CPS) are becoming the backbone of our critical infrastructure. The core of CPS operation often lies in the use of wireless technologies, such as WiFi, Bluetooth, LoRa, and 5G, that use unlicensed frequency bands. This means that any third party may use these frequencies as well, introducing mutual interference.
Sedentary life style associated with contemporary society leads to long term health related problems including type II diabetes and cardiovascular disease. Exertion based game controller systems have proven to be effective in reducing sedentary gaming hours and transforming them into active work-outs. While short term positive health related outcomes have been reported such as elevated heart rates, such systems have inherent challenges that prevent them being adapted as everyday game controller systems, or part of an exercise regime.
With the spread of IoT devices, security issues are becoming more severe, in part because of the large scale and heterogeneous nature of the devices.
There are an increasing number of insecure IoT devices with a high computational power, this makes them attractive targets for botnet creators.
Compromised IoT devices can be aggregated together through command and control servers to perform a diverse set of activities including; distributed denial of service, password cracking, and crypto-currency mining.
Improving forecasts of space weather has been identified as a major goal for the space community. Space weather has substantial effects on space and ground operations, yet accurate forecast lead times are typically only a few hours to days at most. The goal of this PhD is to improve our understanding and forecasting capability of space weather through physics-based models and/or machine learning.
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.
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.