Felipe Alonso-Atienza

Associate profesor, Dept. Erasmus+ Coordinator 
Dept. Signal Processing and Communications, Rey Juan Carlos University
felipe.alonso(at)urjc.es, @FelipeURJC, LinkedIn.
Felipe Alonso Atienza won the title of Telecommunication Engineering in 2003 (B.Sc., M.Sc.),  and Doctor of Engineering in Telecommunications in 2008 from Carlos III University of Madrid. In 2007 he joined the Department of Signal Theory and Communications, Rey Juan Carlos University, where he currently serves as Associate Professor. He has been a visiting researcher at the Institute for Cardiovascular Research, State University of New York, Syracuse, NY, USA (today the Center for Arrhythmia Research). He has co-authored more than 35 journal and conference papers. He is co-inventor of a patent, and has worked in several public and private funding projects. Currently, he is the IP of the 3-years public funding project INVERSA (TEC2013-46067-R).  His current research interests lie in the areas of statistical signal processing, machine learning, and computer simulation and modelling, applied to cardiac electrophysiology. From december 2010 to december 2012 he was the director of the Master Course in ICT for Biomedical Engineering, at Rey Juan Carlos University. He is a lecturer of the new master course in data science, at Rey Juan Carlos University (first master course in Spain teaching with Apache Spark) . 







PFC/TFG (spanish)

TEACHING (15/16)  

B.Sc. courses:
- Fields and Waves (Fall 15)
- Speech Signal Processing (Fall 15)
- Electromagnetic Fields
for Aerospace Eng.  (Spring 15)        

M.Sc. courses:
Multimedia Signal Processing (Spring 15)
-  Graphs and Social Network Analysis (Spring 15)



E. Morgado, F. Alonso-Atienza,  R. Santiago-Mozos, O. Barquero-Pérez, I. Silva, J. Ramos, and R. Mark,   Quality Estimation of the Electrocardiogram Using Cross-Correlation Among LeadsBiomedical Engineering Online, june 2015

U. Ayala, U. Irusta, J. Ruiz, T. Eftestol, J. Kramer-Johansen, F. Alonso-Atienza, E. Alonso, D. González-Otero. A Reliable Method for Rhythm Analysis During Cardiopulmonary Resuscitation. BioMed Research International
, May 2014.

F. Alonso-Atienza
, E Morgado, L. Fernández-Martínez, A. García-Alberola, JL Rojo-Álvarez, Detection of Life-threatening Arrhythmias Using Feature Selection and Support Vector Machines. IEEE Transactions on Biomedical Engineering 61(3): 832:840, Mar 2014.