Ricardo Rodríguez Jorge, PhD
Research Scientist
Department of Information and communications technologies

Ceit Research Center /“Researching Today, Creating the Future”
Donosti, Spain
Institutional website:portalcientifico.unav.edu/ investigadores/1113189/detalle
Reseach group: Data Analysis and Information Management Group
Research visit. Institution: National Technologic of Mexico / Technological Institute of Ciudad Victoria.
(July 1st – July 31th 2022)

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

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


I welcome my colleagues and fellow academics 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.
I am always looking for industrial and academic collaboration, please do not hesitate to contact me for project collaborations. For more information about my current running projects please visit Research projects.
Institute web page:  Data Analysis and Information Management Group
Call for papers: https://www.rodriguezricardo.net/rodriguezjorgericardo/
Courses: https://www.rodriguezricardo.net/rodriguezjorgericardo/
Research Interest Group: Mechatronics,  Signal Processing, Control and Artificial Neural Networks
Contact Information: E-mail: rrodriguezj@ceit.es, Telephone: +34 943 212 800 / Ext. 2940, Office: 011, Skype: rodriguezri,  Mobile phone:

Research statement

The Research Statement of Dr. Ricardo Rodriguez Jorge is updated to July 2019. The completed and signed version of my Research Statement is available upon request.
My research bridges the areas of signal processing, machine learning, and Intelligent Computing. The overarching goal of my research is to achieve effective and efficient signal processing methods on non-stationary and complex signals, especially in the presence of missing and noisy data. I am interested in exploring applications on different problem domains, and I enjoy to board problems with practical impact. I have realized that the ability to link theoretical models with practical real-world applications is essential to successful research. This involves analyzing a problem and then applying effective techniques for solving it. According to my experience, several different problems might share some common characteristics. Having the ability to understand such inherent characteristics have enabled me to approach problems with different views and to develop better solutions.
My previous joint position as full-time Ph.D. Student at the Department of Instrumentation and Control Engineering in Czech Technical University in Prague (CTU), Czech Republic, has provided me with extraordinary opportunities to work on challenges focused on biomedical disciplines. This has inspired my signal processing research with the application of machine learning techniques, integral and discrete transforms, and intelligent computing.
In addition, my experience in CTU and my research visit to Yoshizawa-Homma laboratory (in 2011) at Tohoku University in Japan have been of great experience to enhance my research; currently my joint position as Titular Professor/Researcher at Institute of Engineering and Technology in the Autonomous University of Ciudad Juarez in Mexico has provided me with excellent opportunities to continue my research in the signal processing field. I have focused on developing novel techniques for highly accurate prediction methods, noise reduction methods in real-time signals, dimension reduction methods, detecting features by adaptive thresholds, and highly accurate classification methods.
I have established several fruitful cross-disciplinary collaborations since the past 9 years with Yoshizawa-Homma laboratory (Japan), Department of Instrumentation and Control Engineering in CTU, Opole University, Technological Institute of Ciudad Victoria, Hanoi University of Industry, Autonomous University of Morelos State, University of Guadalajara, and Autonomous University of Ciudad Juarez. My largest ongoing projects are in collaboration with them. Accordingly, most of my research has been in collaboration with colleagues, and it has been greatly enhanced by their insights and support.