Department: Ingeniería de Comunicaciones

Centre: Escuela de Ingeniería de Bilbao

Campus: Bizkaia

Field of knowledge: Ingenieria y Arquitectura

Area: Telematics Engineering

Research group: MATHMODE: Group on Applied Mathematical Modeling, Statistics, and Optimization - GIC 21/004

Email: javier.delser@ehu.eus

Doctor by the Universidad de Alcalá with the thesis Study and development of advanced meta-heuristic approaches for resource allocation in intelligent communication systems 2013. Supervised by Dr. Sancho Salcedo Sanz.

Doctor by the Universidad de Navarra with the thesis Iterative joint source-channel coding techniques for single and multiterminal sources in communication networks 2006. Supervised by Dr. Pedro Crespo Bofill.

He defended his doctoral thesis (Cum Laude) in Automation and Industrial Electronics from the University of Navarra in 2006, and a second doctoral thesis in Information and Communication Technologies from the University of Alcalá de Henares in 2013, through which he received the Extraordinary Doctorate Award from this University. He is currently a Research Professor in Artificial Intelligence at TECNALIA, Professor at the University of the Basque Country (UPV / EHU) and External Scientific Member of the Basque Center for Applied Mathematics (BCAM). His research activity focuses on neural computation, deep learning, heuristic optimization and reinforcement learning for solving problems related to intelligent distribution networks (Smart Grids), telecommunications, operational research, transport and mobility, among many others. In these fields, he has published to date more than 440 scientific-technical publications, edited 8 books, directed 35 TFG / TFM, supervised 15 doctoral theses, participated in 7 patents and directed several research projects. He has been the recipient, on two occasions, of the Torres Quevedo program of the Ministry of Science and Innovation (2007 and 2009). He is a senior member of the IEEE, and has been awarded the "Talent of Bizkaia" award in recognition of his experience and scientific curriculum. He combines his passion for data science with his love of sports and reading.