Summary
Fernando Hernández is an associate professor at Universidad Complutense de Madrid with eight years of focused academic and research experience bridging applied mathematics, computer vision and data-driven machine learning. He holds an EU-recognized PhD in Computer Science and Electrical Engineering and has a long track record designing and coordinating university programs in AI, robotics and mobile applications. His research spans image processing, neural networks, dynamical systems and statistical learning, informed by earlier work on multimedia adaptation, video summarization and scalable video coding. An editorial board member since 2014, he combines rigorous theoretical training with practical curriculum-building and cross-institutional teaching across computer science and engineering. Notably, he moves fluidly between foundational research and applied educational innovation, shaping both PhD and professional training in Spain.
8 years of coding experience
18 years of employment as a software developer
EU-wide recognized PhD, in Computer Science and Electrical Engineering, EU-wide recognized PhD, in Computer Science and Electrical Engineering at Universidad Autónoma de Madrid
Engineer, Information Tecnologies, Engineer, Information Tecnologies at Universidad Pontificia de Salamanca