Emran Yasser Moustafa

Phd Student

My research focuses on learning-enabled shared autonomy for assistive driving applications. I work on policy synthesis for human-in-the-loop systems in urban driving scenarios, such as city driving in Edinburgh, and I also contribute to the systems development of our autonomous vehicle platform.

Tell us about your journey before you joined the Centre for AI in Assistive Autonomy?

Before joining the Centre, I completed a Master’s in Electronic and Computer Engineering at Trinity College Dublin. During this time, I was heavily involved with our university’s Formula Student team, working primarily on the driverless stack. My experience on the team ignited my interest in AI and robotics and opened the door to a host of opportunities in these fields.

What motivates you to work in this area?

In my eyes, robotics is the most compelling challenge an engineer can take on. Building systems that interact with the real world is complex but deeply rewarding. Since starting college, autonomous driving has been at the core of my fascination. The work we do at the Centre helps make these systems more reliable and robust, as well as more accessible for the people who need them.

What do you love about Edinburgh?

Edinburgh has long been one of my favourite cities. The city’s rich culture and history — not to mention the university’s role in the history of AI — make it a truly inspiring place to study. I’ve found Edinburgh and its people to be exciting, light-hearted, and welcoming.