Juan Albino Méndez Pérez
Control Engineering Group
University of La Laguna
jamendez@ull.edu.es
ORCID: 0000-0003-2004-5989
Research ID: I-1906-2015
Full Professor of Systems Engineering and Automation.
Dep. of Computer Science and Systems Engineering.
University of La Laguna
Tenerife, SPAIN
Supervisor of 6 Doctoral Thesis;
Papers in JCR journals: 49
Participation in 27 research projects (3 as principal researcher)
Total number of cites: 1170 (Scholar);
H index: Thomson, 17; Google Scholar, 19
.
Juan Albino Méndez is full Professor at University of La Laguna in the Department of Computer Science and Systems Engineering. Main research lines are related to control engineering: predictive control, intelligent control and control applications. He obtained the PhD degree in 1998 awarded with the award to the best PhD Thesis in the engineering field in his University. He has participated in 26 research projects (7 from the Spanish government, 10 from the Canary Islands government and 9 with private companies). He was the principal researcher in 4 of them. He was awarded with the Best Young research Award in 1999 of the Canary Islands government. He has been in research stays in prestigious universities: at Oxford University in the ETH in Zurich. Together with this, Dr. Mendez has collaborated with different European researchers from the Eindhoven University of Technology (Holanda), Universidad de Huelva, Universidad de Sevilla and Universidad de La Coruña. There are also collaborations with Dr. Antonio Visioli from Brescia University and Dr. Kristian Soltesz from Lund University.
He has been involved in applications of control engineering to different problems as Optimal Control of DC motors, Control of Overhead Cranes and Design and Control of the primary mirror in a large telescope (GRANTECAN).
Currently the two main active research applications are:
• Modelling and control of the anesthetic process
• Intelligent control of renewable energy system
In 2003, he stablished a new research line focused in the automation of anesthesia infusion in the operating room. This research line is still active in collaboration with the Hospital Universitario de Canarias. The research group has developed a system based on artificial intelligence to infuse drug to the patients that has been successfully tested in the operating room.
He is also researching in the design of monitoring, prediction and optimal control systems for energy resources. There is a collavoration with some hotel companies with the aim of improving the efficiency of the energy control systems in the hotels.
One is his main research lines is related to energy monitoring and control. He has been involved in the application of artificial intelligence methods for energy demand forecasting. He is also working in the development of intelligent energy management systems applied to hybrid energy systems. The objective is to improve the use of the energy resource while minimizing costs in the systems. Another research line is focused on the efficient use of energy in the touristic industry.
Most of the results has been published in more than 50 prestigious international journals (48 of which are included in the Journal Citation Report) and more than 70 scientific conferences.
José Manuel González Cava; Rafael Arnay del Arco; Ana León; María Martín Lorenzo; José Antonio Reboso
Morales; José Luis Calvo Rolle; Juan Albino Méndez Pérez. Machine Learning based method for the evaluation
of the Analgesia Nociception Index in the assessment of general anesthesia. Computers in Biology and Medicine.
118, Elsevier, 2020. ISSN 0010-4825. DOI: https://doi.org/10.1016/j.compbiomed.2020.103645
Germán González Rodríguez; José Manuel González Cava; Juan Albino Méndez Pérez. An intelligent decision
support system for production planning based on machine learning. Journal of Intelligent Manufacturing. Springer,
07/11/2019. ISSN 1572-8145. DOI: https://doi.org/10.1007/s10845-019-01510-y
José Luis Casteleiro; Marco Gomes; Juan Albino Méndez Pérez; Héctor Aláiz; María del Carmen Meizoso;
Benigno Rodríguez; José Luis Calvo. Electromyogram prediction during anesthesia by using a hybrid intelligent
model. Journal of Ambient Intelligence and Humanized Computing. Springer, 23/08/2019. ISSN 1868-5145
DOI: https://doi.org/10.1007/s12652-019-01426-8
José Luis Casteleiro Roca; Héctor Quintián; Jose L. Calvo Rolle; Juan Albino Méndez Pérez; Francisco J. Pérez Castelo; Emilio Corchado. Lithium iron phosphate power cell fault detection system based on hybrid intelligent system. Logic Journal of the IGPL. Oxford University Press, 05/01/2020. ISSN 1368-9894
Esteban Jove; José Luis Casteleiro Roca; Héctor Quintián; Juan Albino Méndez Pérez; Jose L. Calvo Rolle.Detección de anomalías basada en técnicas inteligentes de una planta de obtención de material bicomponente empleado en la fabricación de palas de aerogenerador. Revista Iberoamericana de Automática e Informática Industrial. 17, pp. 84 - 93. CEA, 01/2020. ISSN 1697-7920
José Luis Casteleiro Roca; José Francisco Gómez González; José Luis Calvo Rolle; Esteban Jove Pérez; Héctor Quintián; Benjamín González Díaz; Juan Albino Méndez Pérez. Short-Term Energy Demand Forecast in Hotels Using Hybrid Intelligent Modeling. Sensors. 19 - 11, pp. 2485. MDPI, 31/05/2019. ISSN 1424-8220
José Luis Casteleiro; Marco Gomes; Juan Albino Méndez Pérez; Héctor Aláiz; María del Carmen Meizoso; Benigno Rodríguez; José Luis Calvo. Electromyogram prediction during anesthesia by using a hybrid intelligent model. Journal of Ambient Intelligence and Humanized Computing. Springer, 23/08/2019. ISSN 1868-5145
DOI: https://doi.org/10.1007/s12652-019-01426-8
José Luis Casteleiro Roca; José Francisco Gómez González; José Luis Calvo Rolle; Esteban Jove Pérez; Héctor Quintián; Benjamín González Díaz; Juan Albino Méndez Pérez. Short-Term Energy Demand Forecast in Hotels Using Hybrid Intelligent Modeling. Sensors. 19 - 11, pp. 2485. MDPI, 31/05/2019. ISSN 1424-8220
DOI: 10.3390/s19112485
Esteban Jove; José Luis Casteleiro Roca; Héctor Quintián; Juan Albino Méndez Perez; José Luis Calvo. A fault detection system based on unsupervised techniques for industrial control loops. Expert Systems. Wiley, 03/2019. ISSN 1468-0394
DOI: 10.1111/exsy.12395
Esteban Jove Pérez; José Luis Casteleiro Roca; Héctor Quintián; Juan Albino Méndez Pérez; José Luis Calvo Rolle. (ACCEPTED) Anomaly detection based on one-class intelligent techniques over a control level plant. Logic Journal of the IGPL. Oxford Academic, 2019.
DOI: https://doi.org/10.1093/jigpal/jzy032
José Antonio Reboso Morales; José Manuel González Cava; Ana León; Juan Albino Méndez Pérez. Closed loop administration of propofol based on a Smith predictor: a randomized controlled trial. Minerva Anesthesiologica. EDIZIONI MINERVA MEDICA, 2019. ISSN 0375-9393
DOI: 10.23736/S0375-9393.18.13058-6
Esteban Jove; José Luis Casteleiro Roca; Héctor Quintián; Juan Albino Méndez Perez; José Luis Calvo. A fault
detection system based on unsupervised techniques for industrial control loops. Expert Systems. Wiley, 03/2019.
ISSN 1468-0394
DOI: 10.1111/exsy.12395
Esteban Jove Pérez; José Luis Casteleiro Roca; Héctor Quintián; Juan Albino Méndez Pérez; José Luis Calvo
Rolle. (ACEPTADO) Anomaly detection based on one-class intelligent techniques over a control level plant. Logic
Journal of the IGPL. Oxford Academic, 2019.
DOI: https://doi.org/10.1093/jigpal/jzy032
Esteban Jove Pérez; José Manuel González Cava; Juan Albino Méndez Pérez; José Antonio Reboso Morales; Francisco Javier Pérez Castelo; Francisco Javier de Cos Juez; José Luis Calvo Rolle. Modelling the hypnotic patient response in general anaesthesia using intelligent models. Logic Journal of the IGPL. Oxford Academic,
11/09/2018.
José M. González Cava; José Antonio Reboso Morales; José Luis Casteleiro Roca; José Luis Calvo Rolle; Juan Albino Méndez Pérez. A novel Fuzzy algorithm to introduce new variables in the drug supply decision making process in medicine. Complexity. 2018 - Article ID 9012720, Hindawi, 2018. ISSN 1076-2787
DOI: https://doi.org/10.1155/2018/9012720
José Luis Casteleiro Roca; Esteban Jove; Jose Manuel González Cava; Juan Albino Méndez Pérez; José Luis Calvo Rolle; Francisco Blanco Álvarez. Hybrid model for the ANI index prediction using remifentnail drug and EMG signal. Neural Computing and Applications. Springer, 06/07/2018. ISSN 1433-3058
Juan Albino Méndez Pérez; Ana León Fragoso; Ayoze Marrero; José M. González Cava; José A. Reboso Morales; José I. Estévez Damas; José F. Gómez González. Improving the anesthetic process by a fuzzy rule based medical decision system. Artificial Intelligence In Medicine. Elsevier, 2018. Disponible en Internet en:
DOI: 10.1016/j.artmed.2017.12.005
José Luis Casteleiro Roca; José Luis Calvo Rolle; Juan Albino Méndez Pérez; Nieves Roqueñí Gutiérrez; Francisco Javier de Cos Juez. Hybrid Intelligent System To Perform Fault Detection On Bis Sensor During Surgeries. Sensors. 17 - 1, pp. 1 - 17. MDPI, 18/01/2017
ISSN 1424-8220, DOI: 10.3390/s17010179
Ayoze Marrero; Juan Albino Méndez Pérez; José Antonio Reboso Morales; Isabel Martín Mateos; José Luis Calvo Rolle. Adaptive fuzzy modeling of the hypnotic process in anesthesia. Journal of Clinical Monitoring and Computing. Springer, 12/04/2016. ISSN 0167-9945, DOI: DOI 10.1007/s10877-016-9868-y
Title: Análisis del consumo energético y análisis técnico económico de la incorporación de energías renovables en sistemas de generación distribuida en el sector turístico
Role in the project: Principal researcher
Entidad de realización: Universidad de La Laguna
Program: Ayudas a proyectos de investigación de la Fundación Cajacanarias 2016
Dates: 2017 - 2019
Title: GRACIOSA – Renwable energy generation with storage and intelligent consumption control for the operation of distribution networks with self-supply.
Entities: ENDESA, S.A., Fundación de Investigación de la Universidad de Sevilla, Fundación para el Desarrollo de las Tecnologías de la Información en Andalucía, Universidad Pontificia Comillas, Universidad de La Laguna, Endesa Distribución Eléctrica, S.L., Instituto Tecnológico de Canarias, CDTI – Ministerio de Economía y Competitividad, WIND INERTIA TECHNOLOGIES SL. Reference: ITC-20151241.
Dates: 02/07/2015 - 21/12/2017
Title: Excelence network "Intelligent control network" (DPI2015-71320-REDT). Excellence networks, Spanish Government. Principal researcher: José Manuel Andújar (Huelva university), Begin and End Dates: 01/07/2014-01/07/2015..
Title:: Total automation of the anesthetic process. Entidad de realización: Universidad de La Laguna Tipo de entidad: Universidad. IP: Juan Albino Méndez Pérez. Funding Entity: Ministerio de Ciencia e Innovación. Fecha de inicio: 13/07/2010
Fecha de fin: 31/12/2014.
Title:: Development of an automatic drug infusion system: application to the Canary Islands health system. Entidad de realización: Universidad de La Laguna. Principal researcher: Juan Albino Méndez Pérez. Funding Entity: Gobierno de Canarias. Fecha de inicio: 06/10/2009.
Title:: Termochemical cicles for solar energy storage (CITESOL). Entidad de realización: Universidad de La Laguna Principal researcher: Ricardo Luis Guerrero Lemus. Funding entity: Instituto Tecnológico de Canarias. Fecha de inicio: 01/05/2009. Duración: 6 meses.
Title:: Advanced control techniques for the autoamtion of anesthesia based in the BIS signal. Entidad de realización: Universidad de La Laguna Tipo de entidad: Universidad. Investigador/es responsable/es: Juan Albino Méndez Pérez. Funding: Ministerio de Ciencia y Tecnología. Fecha de inicio: 01/10/2007.
Title:: Vehicle Steering in a Closed Bioclimatic Environment. Entidad de realización: Universidad de La Laguna Tipo de entidad: Universidad. Principal researcher: Leopoldo Acosta Sánchez. Funding: CICYT. Fecha de inicio: 28/12/2004.
Title:: PID based control algorithms for anestehsia control, Entity: Universidad de La Laguna, Principal researcher: Felipe González Miranda, Funding entity: Fundación Canaria de Investigación y Salud, Fecha de inicio: 01/01/2004.
Title:: A transportation system for people based on a centralized traffic station. Entity: Universidad de La Laguna. Principal researcher: Manuel Cendagorta-Galarza López. Funding: Ministerio de Ciencia y Tecnología, Begin date: 01/01/2001.