I graduated from the University of Bath with a BSc (Hons) in Computer Science with Business in 2018, followed by a MSc in Innovation and Technology Management in 2019. As a student, I have completed data and technology-driven modules as an undergraduate computer scientist and have undertaken a unique postgraduate course, which bridged the gap between management and engineering disciplines. I had been involved in numerous multidisciplinary project teams and gained experience in project, change and risk management as well as explored sustainability issues and proposed solutions to outstanding engineering management problems.
Outside of university, I have a decade-long professional experience in Social Care as well as a number of years of working in business administration. I am excited to work on innovative projects that will have a positive impact on the automotive sector, its customers and the environment. I am also excited by the opportunity to learn from industry experts from an early stage in my career because it will equip me with the most relevant knowledge and skills.
Broadly speaking, I intend to get involved with a project focused on developing software systems for autonomous vehicles. I have a wide range of cross-disciplinary interests, and am open to alternative project themes. I believe the MRes will allow me to identify the most appropriate topic.
This research project aims to build a high-fidelity immersive driving simulator at IAAPS to enable research on topics such as autonomous driving, vehicle driver pedestrian interactions, real-world efficiency and emissions.
The planned driving simulator will be software and hardware agnostic, with the ability to easily upgrade the hardware setup to support motion platforms and 360° projection screens. A framework for processing and fusing multi-sensor data will be created to convert map and real-world captured data into virtual validation routes and scenarios. Uniquely it will be possible to connect the driving simulator to a powertrain dynamometer to allow hardware-in-the-loop control of a physical vehicle or subsystems thereof as an alternative to full vehicle simulation.