Semih Vazgecen

I’m a second-year PhD researcher at the APRIL AI Hub, University of Edinburgh. My research focuses on efficient image processing using neuromorphic computing and unconventional hardware, particularly memristors, with the aim of developing energy-efficient AI systems for edge devices. My work explores hardware–software co-optimisation, bringing algorithms and hardware together to make AI systems more efficient and better suited to resource-constrained environments.

I hold an MEng in Electrical and Electronics Engineering from the University of Edinburgh, graduating with First Class Honours in 2025. During my studies, I developed strong analytical and problem-solving skills, led group projects, and became particularly interested in embedded systems and analogue mixed-signal applications. I gained experience across both hardware and software, from embedded programming and digital systems to analogue and mixed-signal design.

I’m passionate about challenging myself and inspired by the “Think Different” mindset that encourages me to question conventional approaches.