Summary
Ramon Roca is a telecommunications engineer and PhD student focused on IoT over non-terrestrial networks, bringing 16 years of hands-on experience to research-driven solutions. He specializes in analyzing 5G operational data, clustering network behavior to build energy-efficient, cluster-specific predictive models and in designing pathfinding algorithms with traffic-aware QoS for tele-operated driving. His work bridges applied machine learning, optimization, and the mathematical foundations of modern communications, with practical deployments and experimentation at i2CAT and UPC. Ramon has researched differential privacy and membership inference attacks, highlighting a strong interest in security and privacy within networked systems. Based in Barcelona, he combines academic rigor with industry internships (Cellnex) to move ideas from prototype to real-world trials. He is motivated by improving the efficiency and sustainability of the technologies that connect people, often approaching problems from both theoretical and systems perspectives.
16 years of coding experience
Master of Engineering - MEng, Master of Engineering - MEng at UPC - ETSETB Telecos BCN