Xosé Manuel Pardo López is an Associate Professor of Software and Computer Systems at the University of Santiago de Compostela (Spain). His research focuses on computer vision, robotics, and machine learning, with significant contributions to visual saliency, object and scene recognition, and robot vision systems. He collaborates extensively with research centers across Spain and internationally, particularly in the fields of computer vision and robotics applications. Dr. Pardo received his PhD in Physics from the University of Santiago de Compostela in 1998, with research focused on 3D medical image analysis. Following his doctoral studies, he completed postdoctoral research at the Computer Vision Center of Barcelona (Spain) and INRIA Sophia Antipolis (France) between 1998 and 2000. His primary research interests span biologically inspired computer vision , visual saliency modeling , object and scene recognition , human activity recognition , and machine learning applications in robotics. Dr. Pardo's work bridges theoretical computer vision with practical applications, particularly in robot vision systems, photogrammetry, and visual inspection technologies. His research has evolved from early work in medical image analysis to current projects focusing on advanced dimensional control systems and damage inspection methodologies for high-impact industrial sectors. Dr. Pardo's recent publications demonstrate a strong trend toward open-world recognition systems , incremental learning approaches , and practical applications of computer vision in robotics . His work increasingly addresses challenges in face verification systems , scene understanding for mobile robots , and 3D scene reconstruction using wireframe models. The research shows a clear trajectory from fundamental visual attention modeling toward applied solutions for industrial and robotic applications. Dr. Pardo has been actively involved in numerous research projects spanning over a decade, including: "Federated and continuous learning from heterogenous data in devices and robots" (2021-2024) "Glocal" and continuous Machine Learning for a society of intelligent devices (2018-2020) Development of new advanced dimensional control systems in manufacturing processes (2011-2014) Development of new generation techniques for damage inspection in aeronautics, railway, naval and wind power sectors (2009-2010) His collaborative research approach is evident in his extensive publication record across leading computer vision and robotics venues. Dr. Pardo has supervised numerous research projects and has been instrumental in developing practical computer vision solutions for industrial applications, particularly in the areas of dimensional metrology and visual inspection systems.
