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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 a Researcher in the Department of Industrial and Manufacturing Engineering, Autonomous University of Ciudad Juarez, Mexico. 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), Journal of Advanced Computer Science and Information Technology published by Elvedit.Com, International Journal of Humanitarian Technology published by Interscience Publishers. He has participated in nearly 40 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 36 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). Currently, He serves 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 Field of study: Control and Systems Engineering Thesis entitled: “Lung tumor motion prediction by neural Networks”
2005- 2007	MASTER’S DEGREE MASTER OF SCIENCE IN COMPUTER SCIENCE, “NATIONAL CENTER OF RESEARCH AND TECHNOLOGICAL DEVELOPMENT(CENIDET)”     Title and Certificate of Master in Computer Science Specialty: Artificial Intelligence. AVERAGE: 96.33
2000-2004	BACHELOR’S DEGREE  IN COMPUTATIONAL   SYSTEMS ENGINEERING “TECHNOLOGICAL INSTITUTE OF LAZARO CARDENAS” [Title and Certificate of Computational Systems Engineer with distributed systems and networks specialty AVERAGE 94.28, title and professional warrant]

Awards

Desirable profile recognition: awarded as a desirable profile by PRODEP from SEP (Ministry of Public Education, Mexico.

Academic body: UACJ-CA-75 Mechatronics awarded as Consolidated research group (CAC) by PRODEP, 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.

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.

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 163, h-index 7, i10-index 5

Research gate:  citations 122, h-index 7

Mendeley: citations 78, h-index 5

Research network

Linkedin: Dr. Ricardo Rodriguez Jorge   (Open it in a new tab)

Research gate:  Dr. Ricardo Rodriguez Jorge (Open it in a new tab)

Mendeley: Dr. Ricardo Rodriguez Jorge (Open it in a new tab)

Languages 

English

Spanish

Czech (basics)

Laboratory

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

Machine Intelligence Research Labs

Upcoming events

The 5th International Workshop on Signal Processing and Machine Learning  Submission deadline: July 10, 2019 Notification of Acceptance:  August 15, 2019 Camera-Ready Submission: September 2, 2019 Author registration:   September 2, 2019 Workshop and main conference dates:    November 7-9, 2019 Special Session on INNOVATIONS IN WEB TECHNOLOGIES    Submission of papers: 6 May 2018 (STRICT!) Notification of acceptance: 24 May 2018 Camera-ready papers: 31 May 2018 Registration & payment: 31 May 2018 Conference date: 12-14 September 2018

Recent publications

Visual Analysis of Differential Evolution Algorithms (Open it in a new tab) Modeling of Complex Systems by Means of Partial Algebras   Weight Adaptation Stability of Linear and Higher-Order Neural Units for Prediction Applications (Open it in a new tab)

Upcoming students

Master studies on Applied Computing, specialty: Cognitive Computing, areas: Robotics, or Applied Informatics Master on Applied Computing (MCA). Please, check the Department's page with information about The guide for candidates and students of the Master on Applied Computing and the curricular map of the Master to know more about the process of obtaining the Master's degree on MCA in the IEC.