QUT offers a diverse range of student topics for Honours, Masters and PhD study. Search to find a topic that interests you or propose your own research topic to a prospective QUT supervisor. You may also ask a prospective supervisor to help you identify or refine a research topic.
Found 6 matching student topics
Displaying 1–6 of 6 results
Participatory Visualisation of Smart City Data
This PhD project will be affiliated with FrontierSI and Value Australia and contribute to its goals and objectives around smart cities, digital twins, and automated land valuations. Although consumers contribute much of the data upon which these smart city technologies operate, its systems often remain opaque black boxes closed off to public understanding, scrutiny and control. There are also serious concerns around privacy and loss of autonomy.This PhD project addresses these issues by exploring new methods for the participatory visualisation …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
-
Design Lab
5G and IoT smart ontology learning
This project aims to investigate privacy preservation protocols in a 5G integrated IoT environment through an analysis of the depth of smart-device use in common smart domains. 5G’s addition to IoT-based smart devices will be effectively deployed and utilised by a large majority of individual and organisation-based users. The knowledge-based ontology and tools developed in the project will help form the new privacy preservation mechanisms that are required for the 5G enabled environment.The development of an ontology for 5G enabled …
- Study level
- PhD, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Challenges to data sharing of electric vehicles: alleviating privacy concerns with edge computing
The Australian Government has released Australia’s first National Electric Vehicle Strategy to increase the uptake of electric vehicles (EVs) in Australia (Australian Government, 2023), which has the potential to reduce carbon emissions substantially, given that electricity is produced from renewable energy sources (Degirmenci & Breitner, 2017).Despite environmental benefits like reduced carbon emissions, EV owners become increasingly concerned about their privacy due to enhanced EV connectivity and increased personal data sharing through EV digital services. Edge computing, where data is processed …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
- Centre for Data Science
Understanding user behaviours of kinetic energy harvesting
Kinetic energy harvesters are used in devices such as wearable fitness trackers and smartwatches to capture energy from human movement to prolong battery life. They are emerging as both an energy source and a means to provide context information for recognizing human physical activities like exercising or walking (Sandhu et al, 2023).Kinetic energy harvesters provide several benefits, including cost reduction associated with battery replacement and maintenance, minimizing electronic waste, and decreasing the carbon footprint related to energy production and disposal. …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
Overcoming the challenges of sensitive data via synthetic data generation (case study)
In the 21st Century, there is an abundance of data, often containing insights that could benefit a number of stakeholders. However, despite this opportunity, it is often the case that the data is sensitive and can not be released by organisations or government agencies due to privacy concerns. One possible solution to the above dilemma is to instead carefully construct a 'twin' data set that contains similar information (and ideally, the same insights) as the original data set, but without …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Data Management and Privacy Law for Transnational Corporate Entities
Dr Lucy Cradduck is looking for PhD/MPhil candidates wishing to examine cross-jurisdictional data management and privacy concerns for transnational corporations, particularly comparing EU, South East Asian nations and Australia. Candidates with an interest in approaching the topic through empirical approaches involving interviews and stakeholder engagement are particularly encouraged. This topic is led by the QUT School of Law within the Datafication and Automation of Human Life research group.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Law
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