About
Summary
Dr. 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”. In addition, He is a collaborator professor at Tecnun-University of Navarra.
His research interests mainly focus on time series prediction, signal processing, artificial neural networks, adaptive control systems, Cybersecurity, Medical informatics, Extended Kalman filter, Algebraic Differential equations, Computational fluid dynamics, pattern recognition, mechatronics, and artificial intelligence.
Positions
Research Scientist Nov 2023 -
The realization of research and technological innovation projects for scientific and industrial applications through the development of adaptive models.
Duties: Researcher specialized in the field of Signal Processing and Machine Learning with special focus on Data Analysis and Information Management.
Education
CZECH TECHNICAL UNIVERSITY IN PRAGUE (CTU) 2009 - 2012
Field of study: Control and Systems Engineering
Degree: PhD. IN MECHANICAL ENGINEERING
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”
NATIONAL CENTER OF RESEARCH AND TECHNOLOGICAL DEVELOPMENT(CENIDET) 2005 - 2007
Field of study: Artificial Intelligence
Degree: MASTER OF SCIENCE IN COMPUTER SCIENCE,
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"
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, MacOS
Distributed storage (Big Data): Azure Data Lake, Amazon Web Service (AWS)
Processing (Big Data): Apache Spark, Hadoop
Data ingestion (Big Data): Apache Kafka, Apache NiFi
Cybersecurity: ElasticSearch, Wireshark
Machine learning libraries: PyTorch, TensorFlow, Keras, Scikit-learn
Platforms: Docker, OpenStack, OpenMano, Grafana, Prometheus
Professional interests
- Predictive modeling, Adaptive control
- Cybersecurity, Extended Kalman filters, Artificial Intelligence
- Research and publication in Cybersecurity, Virtualization, Adaptive control, Signal processing, Computational fluid dynamics, differential-algebraic models, Grey-box modeling, time series prediction, auto-scaling
- Machine learning algorithms development
- Data preprocessing techniques
CV
Please sign in to view the CV.