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Ricardo Rodríguez Jorge received his Ph.D. from the Department of Instrumentation and Control Engineering from the Czech Technical University in Prague, Faculty of Mechanical Engineering in 2012. He is a Research Scientist in the Department of Information and communications technologies, at the Technological Centre Ceit/“Researching Today, Creating the Future”. His research interests mainly focus on time series prediction, signal processing, artificial neural networks, adaptive control systems, pattern recognition, mechatronics, and artificial intelligence. He serves on several peer-reviewed international journal Editorial Boards like International Journal DYNA published by DYNA Engineering Industry (Master Journal List). He has participated as visiting professor and performed research visits at research centers from Japan, the Czech Republic, and Mexico. During his research visits, he has developed applications in Computer Vision, Intelligent prediction methods, pattern recognition, and optimization areas.
He has (co-)authored more than 50 book chapters, journal and international conference papers. Dr. Rodríguez has been keynote speaker in national and international conferences, as well as he gave many invited talks. Currently, his research papers are referenced by other research works all over the world. His research papers have earned several awards in countries like the Czech Republic, Poland, and Mexico, in Automatic Control and Computer Science fields. In 2017 Dr. Rodríguez served as General Chair of the Eight International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2017) that was held in Mexico. Dr. Rodriguez annually organizes two workshops in fields of Signal Processing, intelligent computing, measurements, and Machine Learning, which take place in different countries, and participant papers are published by Springer Nature. Currently, Dr. Rodriguez is the Editor-in-Chief and founder of the International Journal DSPAIAL published by DLINE editorial. In addition, Dr. Rodriguez’s projects have been funded by National and International agencies from countries like Mexico and the Czech Republic. He has been the corresponding researcher of the projects that have received significant funding for supporting his research projects in the area of Medical Informatics. Dr. Rodriguez has received several awards from the Ministry of Public Education in Mexico for being a higher education lecturer with a desirable profile and for being incorporated into a Consolidated Research Group.

Education

2009–2012	PhD DEGREE PhD. IN MECHANICAL ENGINEERING “CZECH TECHNICAL UNIVERSITY IN PRAGUE (CTU). Faculty of Mechanical Engineering Department of Instrumentation and Control Engineering Title and Certificate of PhD in Mechanical Engineering Field of study: Control and Systems Engineering Thesis entitled: “Lung tumor motion prediction by neural Networks”
May 28th - Jul 28th 2011	Visiting student for a research project (scientific research) TOHOKU UNIVERSITY   Research centre: Research Division on Advanced Information Technology. Cyberscience center. (Graduate School of Eng. &Graduate School of Biomedical Eng.) Host: Dr. Noriyasu Homma- Professor. Yoshizawa-Homma laboratory Project: Intelligent Prediction Method of Lung Tumor Motion for Highly Accurate Radiation Therapy. Address: Sendai, Japan.
2005- 2007	MASTER’S DEGREE MASTER OF SCIENCE IN COMPUTER SCIENCE, “NATIONAL CENTER OF RESEARCH AND TECHNOLOGICAL DEVELOPMENT(CENIDET)”  Department of Computer Sciences    Title and Certificate of Master in Computer Science Field of study: Artificial Intelligence. AVERAGE: 96.33 Thesis entitled: "Validation and Verification Automatic Module of Extracted Rules of a Neural-Symbolic Hybrid System"
2000-2004	BACHELOR’S DEGREE  IN COMPUTATIONAL   SYSTEMS ENGINEERING “TECHNOLOGICAL INSTITUTE OF LAZARO CARDENAS” Department of Computer and Systems Title and Certificate of Computational Systems Engineer  Field of study: Distributed systems and networks. AVERAGE 94.28 Internship project: "Exploitation of Resources of a CMU Camera for its Started up on a ROMIC Robot"
Jun 28th-Aug 31th 2004	Visiting student for a research project (Summer of the scientific research) Institution: National Institute of Nuclear RESEARCH (ININ) Department: Applied sciences Host: Dr. Armando Segovia - Researcher Project: “Exploitation of Resources of a CMU Camera for its Started up on a ROMIC Robot”. Address: Ocoyoacac, Mexico.

Awards

Memberships

Research ID

Research network

Languages 

English

Spanish

Czech (basics)

Teaching certifications

Certification on the pedagogic model (2016-2022)

Certification on educative approaches focused on learning (2009-2015)

Diplomaed on learning environment design for teaching based on competencies (2014-up-to-date)

Software and operating systems skills

Programming languages: C/C++, Python, Látex, Matlab, R-programming, Java, SQL, HTML, Prolog (Logic Programming)

Statistical software:  SPSS

Math software: Maple

Operating systems: GNU/Linux

Laboratory

Jiri Bila's Lab (Open it in a new tab)

Machine Intelligence Research Labs

Upcoming events

The 10th International Workshop on Signal Processing and Machine Learning  Submission deadline: July 25, 2024  Notification of Acceptance:  August 25, 2024 Camera-Ready Submission: September 10 2024 Author registration:   September 10, 2024  Workshop and main conference dates:    November 13 – 15 , 2024  The books of this series are indexed in Scopus, Web of Science. The 6th  International Workshop on Intelligent Computing and Measurements     Submission of papers: January 10,2024 (Hard deadline)    Notification of acceptance: January 20, 2024   Camera-ready papers: February 5, 2024   Registration & payment: February 5, 2024  Conference date: April 17-19, 2024    The books of this series are indexed in Scopus, Web of Science.     International Journal of Digital Signal Processing and Artificial Intelligence for Automatic Learning Fifth issue: International Journal of Digital Signal Processing and Artificial Intelligence for Automatic Learning (sipml.com.mx) ISSN: 2583-5009    Submit here Fourth Issue: Important Dates Submission of papers: Nov 15, 2023 Notification of acceptance: Dec 15, 2023  Camera-ready papers: Dect 22, 2023  We ask authors to strictly follow the instructions for paper format, otherwise the paper will be rejected !   PDF                LATEX (zip)

Upcoming Keynotes

Dr. Ricardo Rodriguez Jorge, Impact of uncertainty analysis and feature selection on data science,  The 11-th International Conference on Emerging Internet, Data & Web Technologies (EIDWT-2023), Universitas Islam Sultan Agung (UNISSULA), Semarang, Indonesia, February 23-25, 2023. Dr. Ricardo Rodriguez Jorge, Data science and machine learning perspectives, International Conference on Intelligence based transformations of technology and business (ICITTB) trends, Canadian Institute of Technology, Tirana, Albania, October 13, 2022. Dr. Ricardo Rodriguez Jorge, Machine Learning: Challenges in Data Science Applications, Symposium of advances in Artificial Intelligence and Digital Applications Development, Technological Institute of Ciudad Victoria, Mexico, November 17, 2021 (In Spanish).

Recent publications

Rotating machinery fault diagnosis using a quadratic neural unit,  2022, DOI: 10.1504/IJGUC.2022.10047657 indexed in Indexed in JCR, Impact Factor: 0.5, Q4 Elsevier. Binary Pattern Descriptors for Scene Classification. IEEE Latin America Transactions, Vol. 18, No. 1, January 2020, indexed in JCR, Impact Factor: 0.967.   Adaptive architecture for fault diagnosis of rotating machinery, R Rodríguez-Jorge, L Sánchez-Pérez, J Bíla, J Škvor, Advanced Informaton Networking and Applicatons, Vol 3. (2021), indexed in Web of Sciences, Core Rank B.  Internet of things-assisted architecture for QRS complex detection in real time, R Rodriguez-Jorge, I De Leon-Damas, J Bila, J Skvor, Journal of Internet of Things, Vol. 14 (2021), Elsevier, pp. 100395, indexed in JCR, Impact Factor: 5.711, Q1 Neural Network with L-M Algorithm for Arrhythmia Disease Classification, 2021, indexed in Web of Sciences A Modified Version of K-Means Algorithm, 2021, indexed in Web of Sciences

Upcoming publications

Adriana Mexicano, Jesús Carlos Carmona Frausto, Pascual Montes, Salvador Cervantes, José-Antonio Cervantes, Ricardo Rodríguez Jorge, Simulated Annealing and Tabu Search for Solving the Single Machine Scheduling Problem , Lecture Notes in Networks and Systems - Proceedings of the The 17th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2022, Springer Nature Switzerland AG, Tirana, Albania October 27-29, 2022 (EI, SCOPUS).

Upcoming authored book

New authored book expected to be appeared on December 2021 on the field of Innovation Engineering

Upcoming students

News: Are you interested on Social Service?, Are you interested on Professional Residence?, Are you interested on Summer of Research?, Are you interested on Bachelor's Thesis?, Are you interested on Master's Thesis?, Are you interested on PhD thesis?, please send me an email to: ricardo.rodriguezjorge.mx@ieee.org, or you can visit me at my office. Thank you for your interest. Consultations: Monday 17:00 - 18:00, Wednesday 18:00 - 19:00, Thursday 17:00 - 18:00

Upcoming lectures

Adriana Mexicano, Jesús Carlos Carmona Frausto, Pascual Montes, Salvador Cervantes, José-Antonio Cervantes, Ricardo Rodríguez Jorge, Simulated Annealing and Tabu Search for Solving the Single Machine Scheduling Problem , Lecture Notes in Networks and Systems - Proceedings of the The 17th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2022, Springer Nature Switzerland AG, Tirana, Albania, October 27,2022, 15:30-17:00 (UTC+2 )