Julio Diez Tomillo

Julio Diez Tomillo is a Research Fellow at the School of Computing, Engineering and Physical Sciences. His research focuses on unmanned aerial vehicles (UAVs), automated driving systems, and Industry 4.0 applications integrated with 5G technology. He specializes in computer vision techniques for UAV-based facial detection and verification, as well as edge computing solutions for optimizing vehicle operations.

• Key Research Areas: UAV operations, facial recognition algorithms, automated driving architecture validation, and cybersecurity in critical infrastructure.

His work emphasizes practical applications of AI and robotics, including low-resolution facial detection using CNNs and empirical analysis of verification algorithms. Collaborations include exploring secure 5G-enabled services for industrial infrastructure and open-source solutions for UAV deployments.

Publications span peer-reviewed journals like Expert Systems and Neural Computing and Applications, with a focus on real-world validation and empirical analysis.