Summary
Javier Vales-alonso is a Catedrático de Universidad and Computer Science Ph.D. with nine years in senior academic roles and over two decades of research and teaching experience in machine learning, big data, and networking systems. He combines deep mathematical training with telecommunications engineering to lead projects on cellular, vehicular and IoT networks, applying tools from Matlab and R to distributed platforms like Spark and Hadoop. His work spans theoretical modeling—information theory, queuing and stochastic processes—and practical high-load implementations using MPI, Condor and multi-threaded C/C++. A seasoned educator and international visiting researcher, he has translated complex analytical methods into hands-on courses and scalable research prototypes. Notably, his background in jamming/detection research and optimization meta-heuristics complements his large-scale data analytics expertise, giving him a rare blend of signal-level insight and distributed computing know-how.
9 years of coding experience
18 years of employment as a software developer
M.S., Telecommunications Engineer, M.S., Telecommunications Engineer at Universidad de Vigo
M.S., Matematicas, M.S., Matematicas at Universidad Nacional de Educación a Distancia - U.N.E.D.
Ph.D., Computer Science, Ph.D., Computer Science at Universidad Politécnica de Cartagena
Spanish, English