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Ricardo Rodriguez 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 an Assistant Professor/ Researcher in the Faculty of Science, Department of Informatics, Jan Evangelista Purkyně University, Czech Republic. 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 as Associate Editor of Intelligent Automation and Soft Computing published by Taylor & Francis (Master Journal List) and also on several peer-reviewed international journal Editorial Boards like International Journal DYNA published by DYNA Engineering & Industry (Master Journal List). He has participated in nearly 45 international conferences/workshops as technical program committee, and he has also participated as a reviewer in about 52 conferences. He has (co-) authored more than 45 book chapters, journal and international conference papers. Dr. Rodriguez 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. In 2012 one of his papers earned the 2^nd place in a conference in Czech TechnicalUniversity in Prague, Czech Republic. Furthermore, he earned the 1^st place in a conference in Krakow University of Technology, Poland. In 2013, one of his coauthored papers earned the best paper award presented in the 6^thInternational Conference on Research, in the Computer Science field. In 2017 Dr. Rodriguez has been incorporated as a member of the research group: Mechatronics  that is awarded by PRODEP as (Consolidated research group). He has served as General Chair of the Eigth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2017) to be held in Autonomous University of Ciudad Juarez in Mexico.

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 8th International Workshop on Signal Processing and Machine Learning  Submission deadline: July 31, 2022 Notification of Acceptance:  August 15, 2022 Camera-Ready Submission: September 05, 2022 Author registration:   September 05, 2022 Workshop and main conference dates:    October 27-29, 2022 The books of this series are indexed in Web of Science. The 4th  International Workshop on Intelligent Computing and Measurements     Submission of papers: December 31, 2021 Notification of acceptance: January 20, 2022  Camera-ready papers: February 5, 2022  Registration & payment: February 5, 2022 Conference date: April 13-15, 2022   The books of this series are indexed in Web of Science. AINA-2022 is indexed in CORE-rank.     International Journal of Digital Signal Processing and Artificial Intelligence for Automatic Learning First issue: International Journal of Digital Signal Processing and Artificial Intelligence for Automatic Learning (sipml.com.mx) ISSN: In process   Indexing: In process Submit here Second Issue: Important Dates Submission of papers: July 15, 2022 Notification of acceptance: August 15, 2022  Camera-ready papers: September 15, 2022  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, 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 Scopus, Emerging Sources Citation Index (Clarivate Analytics) Binary Pattern Descriptors for Scene Classification. IEEE Latin America Transactions, Vol. 18, No. 1, January 2020, indexed in JCR, Impact Factor: 0.967. (Open it in a new tab)   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

Ricardo Rodriguez-Jorge, Paola Huerta-Solis, Jiri Bila and Jiri Skvor, Adaptive analysis of electrocardiogram prediction using a dynamic cubic neural unit, Advanced Information Networking and Applications- Proceedings of the 36th International Conference on Advanced Information Networking and Applications (AINA-2022), Lecture Notes in Networks and Systems, vol. 451, Springer Nature Switzerland AG, Sydney, Australia April 13 - 15, 2022,10.1007/978-3-030-99619-2_41, (Web of Sciences, Core Rank B).

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

Dr. Ricardo Rodriguez Jorge, Neural Network with L-M Algorithm for Arrhythmia Disease, 16th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, October 29, 2021, at 10:00 am, Fukuoka Institute of Technology (FIT), Fukuoka, Japan