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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

Desirable profile recognition (2017-2020): awarded as a higher education Lecturer with desirable profile by the Undersecretariat for Higher Education, General Management of University Higher Education, PRODEP-DSA from SEP (Ministry of Public Education), Mexico.

Academic body: UACJ-CA-75 Mechatronics awarded as Consolidated research group (CAC) by the Undersecretariat for Higher Education, General Management of University Higher Education, PRODEP-DSA from SEP (Ministry of Public Education), Mexico.

Desirable profile recognition (2014-2017): awarded as a higher education Lecturer with desirable profile by the Undersecretariat for Higher Education, General Management of University Higher Education PRODEP from SEP (Ministry of Public Education), Mexico.

Best paper award in the field of Computer Sciences, with the paper: “Preparation and integration of population data in the data mining process: a case of study”, in the 6th International Conference on Research, CIPITECH 2013, October 9, 10 y 11, 2013, Chihuahua, Mexico.

Extraordinary prize: Awarded with an extraordinary scholarship by the Dean of the Faculty of Mechanical Engineering, CTU, for submitting the PhD dissertation before the time limit and for the quality of the dissertation, 2012, Czech Republic.

First place in the competition of postgraduate students- Faculty of Mechanical Engineering, 2012, in Krakow, Poland, with the paper: Ricardo Rodriguez, Jiri Bila, Ivo Bukovsky, “Comparison of MLP and Quadratic Neural Unit for Lung Tumor Motion Prediction” Sesja studenckich Kół Naukowych - Wydział Mechaniczny PK - 27 IV 2012, Poland, April 27, 2012.

Second place in the competition for postgraduate students, STC 2012, with the paper: Ricardo Rodriguez, Jiri Bila, Ivo Bukovsky, “Comparison of MLP and Quadratic Neural Unit for Lung Tumor Motion Prediction” STC 2012, March 28, 2012, Prague, Czech Republic.

Extraordinary prize: for being one Ph.D student who passed the national exam with a high score at the first attempt and finished his PhD courses on time, awarded by the Dean of the Faculty of Mechanical Engineering, CTU, Czech Republic

Advisor of creative project which earned the 1st place: “Robotic Arm Controlled through Software for the Classification of Industrial Parts”, obtaining the first place in the internal creativity competition from Technological Institute of Ciudad Juárez, 2008, Mexico.

Advisor of creative project which earned the 3rd place in the XXIII National Creativity Event: “Robotic Arm Controlled through Software for the Classification of Industrial Parts”, obtaining the third place in the XXIII National Creativity Event, 2008, Parral, Chihuahua, Mexico.

Memberships

IEEE Membership

IEEE Signal Processing Society Membership

IEEE CS e-Government membership

IEEE Smart Grid Community membership

IEEE Communications Society Member

Mexican Academy of Sciences

Summer of Scientific and Technological Research of the Pacific

ACM Membership

Research ID

ResearcherID Badge: Thomson Reuters

ORCID ID:  0000-0002-4575-5082

Scopus author ID: 56794860600

 

Citation index:

Google citations: citations 289, h-index 9, i10-index 9

Research gate:  citations 237, h-index 8

Mendeley: citations 161, h-index 7

WoS: 37, h-index 4

Research network

Linkedin: Dr. Ricardo Rodriguez Jorge

Research gate:  Dr. Ricardo Rodriguez Jorge

Mendeley: Dr. Ricardo Rodriguez Jorge

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 7th International Workshop on Signal Processing and Machine Learning  Submission deadline: July 25, 2021 (Extended) Notification of Acceptance:  August 1, 2021 Camera-Ready Submission: August 15, 2021 Author registration:   August 15, 2021 Workshop and main conference dates:    October 28-30, 2021 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 ISSN: In process   Indexing: In process Submit here Submission of papers: October 1, 2021 Notification of acceptance: November 15, 2021  Camera-ready papers: December 15, 2021  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, 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,  2021, 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: 0.804. (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. Neural Network with L-M Algorithm for Arrhythmia Disease Classification (Accepted), 2021, indexed in Web of Sciences A Modified Version of K-Means Algorithm (coauthor, Accepted), 2021, indexed in Web of Sciences

Upcoming publications

Adaptive analysis of electrocardiogram prediction using a dynamic cubic neural unit

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