From Lab Curiosity to Real-World Robots: A Student-Facing Q&A with Dr. Feras Dayoub
In this interview, Dr. Feras Dayoub shares grounded advice on robotic vision, embodied AI, and how students can make their first projects meaningful. From the tension between end-to-end learning and safety, to the value of starting small and replicating results, his insights demystify what actually works in robotics today—and where students can step in.
Teaching, Neuroscience, and AI: The Winding Path of Dr Bernard Evans
Dr Bernard Evans, Computer Science lecturer in the Faculty of SET, shares how a winding path through software engineering, neuroscience, and AI teaching has shaped his focus on practical, industry-aligned education. In this Q&A, he reflects on finding real passion, choosing opportunities that matter, and why “past you” is one of your most important teammates.
