Jesus Fernandez-Bes
Ph. D., Lead Machine Learning Engineer @NTTDATA Europe & LATAM.
Centro empresarial El Trovador,
Pl. de Antonio Beltrán Martínez, 1, Planta 9,
50002 Zaragoza (Spain)
Telecommunication Engineer, and Ph. D. specialist in Big Data and Signal Processing Technologies from Universidad Carlos III de Madrid (both with honors). During the Ph. D. I researched about the application of Signal Processing and Machine Learning into Internet of the things (IoT) with publications in international research journals of the field. Also, I have been lecturer at undergraduate and graduate level both in Spanish and English in different courses: Data Processing, Image Processing, Signals and Systems.
After, the Ph. D. I was as a postdoc in I3A (Instituto de Investigación en Ingeniería de Aragón) working in mathematical modeling of cardiac cells in BSICoS (Biomedical Signal Interpretation and Computational Simulation) group.
Since 2019 I am Artificial Intelligence Engineer in NTTDATA (formerly Everis) where I coordinate the technical team in charge of the Artificial Intelligence of Knowler, an innovative product of smart knowledge management.
I have professional experience in the use of machine learning and Natural Language Processing techniques and frameworks; in the design and implementation of intelligent information systems: e.g., Information extraction systems, Document Classifiers, Recommendation Systems, etc. Also I have proficiency in Python and professional Java and Big Data techniques experience.
I have Interest in all levels of Research, Development, Innovation and Competitive Intelligence.
selected publications
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Adaptive Diffusion Schemes for Heterogeneous NetworksIEEE Transactions on Signal Processing 2017
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A probabilistic least-mean-squares filterIn 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015
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Complex interaction between low-frequency APD oscillations and beat-to-beat APD variability in humans is governed by the sympathetic nervous systemFrontiers in Physiology 2020
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In Silico Characterization of Repolarization Duration and Variability in the Long QT1 Syndrome Under β-Adrenergic StimulationIn 2020 Computing in Cardiology 2020