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 5 matching student topics
Displaying 1–5 of 5 results
Internet of Mobile Energy
The emergence of the two-way communication model and Distributed Energy Sources (DES) is transforming traditional power systems from largely centralised energy production to more decentralised and connected management systems. This is called the 'smart grid'.As the smart grid evolves, electric vehicles (EVs) are emerging as unconventional and highly-disruptive participants in the grid that can add significant benefit and flexibility. Notably, EVs are equipped with a relatively high capacity battery that stores energy to power the vehicle.EV batteries, coupled with the …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
Facilitating Towards Sustainable Electric Vehicles Trading System
The number of Electric Vehicles (EVs) on the road is expected to reach 145 million by 2030. As the number of EVs on the road increases, the demand for energy to charge these vehicles also grows. Traditional charging infrastructure may not meet the increasing energy demands, which may lead to increased waiting time in those charging stations. The EV-EV trading scheme is a promising solution that allows EV owners to access additional energy from nearby EVs. This scheme has attracted …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
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
- School
- School of Information Systems
- Research centre(s)
- Centre for Data Science
Understanding energy demand behaviours in Internet of Vehicles (IoV) systems
The internet of vehicles (IoV) plays an important role in the internet of things (IoT) value system. IoV enables vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications through enhanced connectivity and data-driven decision-making. However, given the importance of energy infrastructures in IoV systems (Shen et al., 2021), the role of energy demand behaviours is yet overlooked.In the context of electric vehicles as low-emission consumer energy resources (Degirmenci & Breitner, 2017), V2V and V2I networks improve the communication with other vehicles and charging …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Information Systems
- Research centre(s)
- Centre for Data Science
Uberizing charging station allocations for electric vehicles
Uberization refers to the use of digital services to offer direct contact between service providers and service seekers (Bootz et al., 2022), which provides new opportunities for peer-to-peer charging of electric vehicles (Hu et al., 2021).In this project, we explore the uberization of peer-to-peer charging from a sharing economy perspective and analyse opportunities for service innovation of electric vehicles.ReferencesBootz, J.-P., Michel, S., Pallud, J., & Monti, R. (2022). Possible changes of Industry 4.0 in 2030 in the face of uberization: …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Information Systems
- Research centre(s)
- Centre for Data Science
Contact us
If you have questions about the best options for you, the application process, your research topic, finding a supervisor or anything else, get in touch with us today.