Summary
Raúl Sánchez is a tenured university professor and researcher in Computer Languages and Systems with a PhD in Computer Engineering from the University of Valladolid and over two decades of academic experience, formally counted as 12 years of reported experience. He teaches core software engineering subjects — from programming methodology and data structures to distributed and ubiquitous systems — and has supervised more than 100 final degree and master projects, often centered on Java and .NET ecosystems. His research began in refactoring and software maintenance and now focuses on applying machine learning and emerging sensing technologies (LLMs, chatbots, eye tracking, GSR, EEG) to educational data mining, learning analytics and health applications. He has played institutional roles shaping curricula (Bologna transition, ECTS, online degree implementation), program coordination and academic governance, and led the HP Technology Observatory at UBU. Active in teaching-innovation groups and multiple research collaborations (ADMIRABLE, DATAHES), he combines practical software development experience with interdisciplinary experimentation at the intersection of edtech and biomedical sensing. An understated strength is his ability to translate classroom teaching into scalable student projects and research prototypes across desktop, web and mobile platforms.
12 years of coding experience
Universidad de Burgos
PhD, Ingeniería informática, PhD, Ingeniería informática at Universidad de Valladolid
English