Ricardo Rodriguez Jorge, PhD
Titular Professor / Researcher
Department of Industrial and Manufacturing Eng. 
Autonomous University of Ciudad Juarez

Chihuahua, Mexico

Visiting Professor,
Czech Technical University in Prague, Czech Republic
(Dec 2016 -January 2017)

Research visit,
Tohoku University, Japan (May- Jul 2011)

Contact Information:

I welcome my colleagues and fellow accademics to this web site. If you would like to discuss any of my published work, please feel free to contact me. My professional interests are mainly in Engineering and my work today has been focused on signal processing and machine learning to bridge innovative ways in these areas.

Research project:  Architecture of Neural networks for arrhythmia detection

Research papers:
Ricardo Rodriguez, Osslan O. Vergara, Vianey G. Cruz, Adriana Mexicano, “Arrhythmia disease classification using a higher-order neural unit,” Fourth  International Conference on Future Generation Communication Technologies (FGCT 2015), July 29-31, 2015 (Accepted, Indexed by IEEE Xplore).
Ricardo Rodriguez, Adriana Mexicano, Jiri Bila, N. B. Nghien, Rafael Ponce, Salvador Cervantes,“ Hilbert- Huang Transform and Neural Networks for Electrocardiogram Modeling and Prediction,” The 2014 10th International Conference on Natural Computation (ICNC 2014), August 19-21, 2014, Xiamen, China.
Ricardo Rodriguez, Adriana Mexicano, Jiri Bila, Rafael Ponce-Medellin, Salvador Cervantes, “Adaptive Threshold and Principal Component Analysis for Feature Extraction of Electrocardiogram Signals, ” International Symposium on Computer, Consumer and Control 2014, IEEE Computer Society Washington, DC, USA 2014, June 10-12, 2014 Taichung, Taiwan.
Ricardo Rodriguez, Adriana Mexicano, Salvador Cervantes, Jiri Bila, Rafael Ponce, “Extracting the QRS complexity and R beats in electrocardiogram signals using the Hilbert transform,” 2013 Interdisciplinary Symposium on Complex Systems, September, 10-13, 2013, Prague, Czech Republic.
Ricardo Rodriguez, Adriana Mexicano, Jiri Bila, Rafael Ponce, Salvador Cervantes, Alicia Martinez, “Hilbert Transform and Neural Networks for Identification and Modeling of the ECG ComplexThird International Conference on Innovative Computing Communication Technology, ISBN: 978-1-4799-0048-0, August 29-31, 2013, London, UK.
Ricardo Rodriguez, Adriana Mexicano, Jiri Bila, S. Cervantes, and Rafael Ponce, Feature Extraction of Electrocardiogram Signals by Applying Adaptive Threshold and Principal Component Analysis,” (Indexed in JCR, impact factor: 0.447).
Ricardo Rodriguez, Adriana Mexicano, Jiri Bila, Rafael Ponce, Salvador Cervantes, “Electrocardiogram Complexity Recognition and Modeling by Multilayer Perceptron,” Progress in Signals and Telecommunication Engineering, Volume 2, Issue 2, September, 2013, pp. 61-72, ISSN: 2319-4588.