Faculty/School

Faculty of Science

School of Information Systems

Topic status

We're looking for students to study this topic.

Research centre

Supervisors

Dr Kenan Degirmenci
Position
Lecturer in Information Systems
Division / Faculty
Faculty of Science

Overview

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 at the edge of the network where most data is generated (Shi et al., 2016), provides various benefits such as improved privacy and security (reducing the need to transmit sensitive information over networks by processing data locally), bandwidth and reliability, low latency and real-time communication, and mobility.

In this project, we analyse the adoption of edge computing by EV owners to alleviate privacy concerns for personal data sharing through EV digital services, and we further investigate the dynamic behaviour of energy systems changed through integrated edge computing in EVs.

References

Start date

15 November, 2024

End date

15 February, 2025

Location

QUT Gardens Point Campus, Y Block

Keywords

Contact

Contact the supervisor for more information.