Summary
Javier Díaz is an assistant professor and researcher in Telematics Engineering at Universidad Politécnica de Madrid with a Ph.D. and nine years of experience bridging academia and applied engineering. He teaches courses across telecommunications networks, Big Data, databases, web programming and servers, while leading research in AI, Open Data, Data Spaces and Digital Twins within the Next Generation Internet Group. His background includes hands-on full-stack development, digital transformation projects and telecom network management for organisations like ADIF, giving him a practical edge in deploying research into production. Javier combines postdoctoral research and collaborative roles at IPTC with classroom and project leadership, enabling students to work on real-world data-driven systems. Notably, he blends deep academic training with operational telecom engineering, making him adept at translating complex digital-twin and data-space concepts into implementable solutions.
9 years of coding experience
4 years of employment as a software developer
Doctorado en Ingeniería Telemática, Doctorado en Ingeniería Telemática at Universidad Politécnica de Madrid
Spanish, Galician, English, French