Summary
Alvaro Valcarce is a telecommunications research leader with nine years of professional experience, currently heading a department at Nokia Bell Labs where he applies multi-agent reinforcement learning and emergent communications to evolve RAN signaling and beyond-5G protocols. He combines deep academic training (PhD in computational electromagnetics and femtocell planning) with hands-on engineering across LTE, small cells, satellite–cellular aeronautical links and SON/RRM algorithm design. His work uniquely blends channel and propagation modelling with learning-driven protocol emergence, aiming to train intelligent radio nodes for specific radio environments. A seasoned project contributor and mentor, he has led research in EU and industry programs and supervised multiple master's projects, and is open to teaching engagements. Based in Paris, he brings both system-level optimization know-how and practical experience qualifying avionics network units.
9 years of coding experience
12 years of employment as a software developer
M.Eng. eq. Telecommunications Engineering, M.Eng. eq. Telecommunications Engineering at Universidade de Vigo
Master Thesis WiMAX channel modelling, Master Thesis WiMAX channel modelling at Hochschule für Technik und Wirtschaft des Saarlandes Saarbrücken
High School Bachillerato, High School Bachillerato at Instituto de Bachillerato Valle Inclan
Doctor of Philosophy Computational Electromagnetics femtocells Wireless Networks Planning & Optimisation, Doctor of Philosophy Computational Electromagnetics femtocells Wireless Networks Planning & Optimisation at University of Bedfordshire
High school, High school at Owen J. Roberts High School
English, German, Spanish, Galician