Raúl Mario del Toro

Experience of Raúl Mario del Toro

Raúl Mario del Toro Matamoros recibió el grado de Doctor en Ingeniería Informática y Telecomunicaciones por la Universidad Autónoma de Madrid en 2011, el grado de Máster Automática y Robótica en la Universidad Politécnica de Madrid en 2009 y el grado en Ingeniería en Automática en la Universidad de Oriente, Santiago de Cuba, en 1997. En la actualidad, es Investigador Responsable del Laboratorio de Energías Renovables e Hidrógeno (LERH) del Centro de Automática y Robótica (UPM-CSIC). Anteriormente, estuvo vinculado como investigador pre doctoral en el Instituto de Automática Industrial del CSIC y como investigador postdoctoral en la Universidad Politécnica de Madrid (UPM), donde ha participado en varios proyectos de I+D, tanto nacionales como a nivel internacional. En el año 2014 realizó una estancia postdoctoral en la Universidad Técnica de Delft de los Países Bajos, financiada por el programa de estancias de movilidad en el extranjero «José Castillejo» para jóvenes doctores. Entre mayo de 2018 y febrero de 2022 se desempeñó como investigador y Consultor Senior en la empresa Indra Soluciones TI, en la Unidad de Negocios de Energía. Sus intereses de investigación incluyen diseño y desarrollo de sistemas inteligentes, diseño basado en modelos, ingeniería de sistemas ciber-físicos, sistemas de control distribuidos, Sistema de Sistemas, sistemas autoadaptables, sistemas empotrados, Inteligencia Artificial, lógica borrosa, redes neuronales artificiales, optimización heurística, modelado, control y monitorización de sistemas de generación, almacenamiento y distribución de energía de fuentes renovables.

Resumen en inglés:

Raúl Mario del Toro Matamoros has received his Ph.D. degree in Computer Science & Telecommunication Engineering from the Autonomous University of Madrid in 2011, the M.S. degree in Automation and Robotics from the Polytechnic University of Madrid in 2009 and the B.E. degree in Automation Engineering from Universidad de Oriente, Santiago de Cuba, in 1997. Currently, he is Responsible Researcher of the Laboratory of Renewable Energies and Hydrogen (LERH) at the Centre for Automation and Robotics (UPM-CSIC). Previously, he was linked as research engineering at the Institute of Industrial Automation of the CSIC and as postdoctoral researcher at the Polytechnic University of Madrid (UPM), where he has participated in several R&D projects, both nationally and internationally. In 2014 he was awarded the postdoctoral fellowship "José Castillejo", for a research stay at the Technical University of Delft in the Netherlands. Between May 2018 and February 2022, he worked as a researcher and Senior Consultant at the company Indra Soluciones TI, at the Energy Business Area. His research interests include smart systems engineering, model-based design, cyber-physical systems engineering, distributed control systems, System of Systems, self-adaptive systems, embedded systems, Artificial Intelligence, fuzzy logic, artificial neural networks, optimization heuristics, modelling, control and monitoring of systems for the generation, storage and distribution of energy from renewable sources.

Email: raul.deltoro@car.upm-csic.es

Category: RESPONSIBLE RESEARCHER

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Year

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Citations

Macias-Escriva F.D. Haber Guerra R. del Toro R.M. Hernandez V.
Self-adaptive systems: A survey of current approaches, research challenges and applications
2013
Expert Systems with Applications
126
Gajate A. Haber Guerra R. del Toro R.M. Vega P. Bustillo A.
Tool wear monitoring using neuro-fuzzy techniques: A comparative study in a turning process
2012
Journal of Intelligent Manufacturing
66
Haber Guerra R. del Toro R.M. Gajate A.
Optimal fuzzy control system using the cross-entropy method. A case study of a drilling process
2010
Information Sciences
60
Martin D. del Toro R.M. Haber Guerra R. Dorronsoro J.
Optimal tuning of a networked linear controller using a multi-objective genetic algorithm and its application to one complex electromechanical process
2009
International Journal of Innovative Computing, Information and Control
47
Penedo F. Haber Guerra R. Gajate A. del Toro R.M.
Hybrid incremental modeling based on least squares and fuzzy K-NN for monitoring tool wear in turning processes
2012
IEEE Transactions on Industrial Informatics
38

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