PhD Projects

Current PhD Projects

Fuzz Testing

Student: Daniel Fowler
Project Summary: A fuzz testing methodology to increase automotive cyber-security resilience:- The increasing number of connected computational components in a vehicle enlarges the attack surface for malicious agents. To ensure a degree of resilience against remote attacks, manufacturers must perform cyber-security tests and audits. SAE J3061 regards fuzz testing as part of the testing regime, yet there little is available on how to apply fuzz testing to vehicles. This research addresses the application of fuzz testing to Controller Areas Networks and attached components. 


MICar

Student: Joscha Wasser
Project Summary: Coming soon


ECU Testing

Student: John Heneghan
Project Summary: The project aims to develop a method that can be employed to address potential attack scenarios on automotive Electronic Control Units (ECUs) and ECU / Sensor / Network combinations, and produce a library of security solutions that can be employed to mitigate the identified attacks.


DREAM

Student: Samson Palmer
Project Summary: ‘Driver Re-Engagement with Autonomy: Managing variable levels of delegated control’
Project is focused on looking at the delegation of authority between driver and autonomous vehicle from a human factors perspective, and using modern brain imaging techniques to assess higher cognitive functions during these situations.


Battery Ageing

Student: Richard Stocker
Project Summary: The project is looking into the ageing that occurs in Li-Ion cells with cycling. It aims to understand the reasons behind the ageing, and the key influential factors in how cells are used and designs that affect this. It is with mainly an automotive focus, and the objectives are to develop testing methodologies, simulation models and control strategies that can be used to better predict cell ageing, and also to prolong lifetime of Li-ion cells during automotive usage. 


Ride Comfort Perception

Student: Maciej Cieslak
Project Summary: Coming soon


PEARS

Student: Felix Batsch
Project Summary: The research focuses on the validation of automated vehicles through simulation. Simulation can be used from early development stages onwards and is therefore a powerful tool to ensure the safety of future automated vehicles.


PEARS

Student: James Spooner
Project Summary: The project is aiming to create pedestrian behaviour models using existing dashcam footage and pose analysis software. The pedestrian models will be implemented in Simulation software to test the functionality of ADAS & Autonomous Driving.