Jesus Fernandez Bes

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I am currently an AI Engineer at Everis Spain where we are developing cutting-edge Artificial Inteligence applications  based on  Natural Language Processing and Recommender Systems.

I was a postdoctoral researcher at Biomedical Signal Interpretation & Computational Simulation (BSICoS) group at University of Zaragoza, where I applied signal processing techniques for Cardiac Electrophysiology Modeling.

I obtained my Ph.D. at Universidad Carlos III de Madrid under the supervision of Prof. Jesús Cid Sueiro and Jerónimo Arenas García. My Ph. D. research consisted in the application of Signal Processing and Machine Learning methods to Wireless Sensor Networks. In particular my research was mainly focused on distributed estimation and intelligent energy management in wireless sensor networks.

During my doctoral studies, I spent three months at University of California, Los Angeles (UCLA) working with Prof. Ali H. Sayed and his team in Distributed Estimation in Heterogeneous Adaptive Networks.

Most of my research has been focused in the development of online learning techniques for linear and nonlinear problems and their application to topics as diverse as Cardiac Electrophysiology Modeling, Smart Grid, Neuroimaging or Topic Modeling.