Summary
Christos Kyrkou is a Research Lecturer at the KIOS Research & Innovation Center with a PhD in Computer Engineering and roughly a decade of experience building real-time computer vision and deep learning systems. He has authored over 50 peer‑reviewed publications, won two best paper awards, and has a strong track record in EU and national R&D projects focused on efficient neural architectures and embedded vision. His work spans hardware-aware acceleration (FPGAs, custom accelerators) to applied solutions for emergency management, autonomous vehicles and drones, reflecting both theoretical and practical strengths. He also taught advanced computer vision at the University of Cyprus and holds a Udacity Self‑Driving Car Nanodegree plus industry deep learning certificates, underscoring a commitment to translating research into deployable systems. An understated strength is his long continuity within KIOS, progressing from graduate researcher to lecturer, which gives him deep institutional and project-level experience rare in academic engineers.
9 years of coding experience
12 years of employment as a software developer
Bachelor of Science (B.Sc.), Computer Engineering, Bachelor of Science (B.Sc.), Computer Engineering at University of Cyprus
Certificate, Fundamentals of AI at the Edge, Certificate, Fundamentals of AI at the Edge at Udacity
Certificate, Deep Learning, Certificate, Deep Learning at NVIDIA Deep Learning Institute
Greek, English