Profesores e Investigadores

Departamentos

Curriculum Vitae

José Luis Rojo Álvarez
Catedrático/a de Universidad
5
Quinquenios
2025
6
Docentia
2023-24
4
Sexenios investigación
2022
1
Sexenios transferencia
2018

Centro

E. Ingeniería de Fuenlabrada

Departamento

Teoría de la Señal y Comunicaciones y Sistemas Telemáticos y Computación

Área

Teoría de la Señal y Comunicaciones

Grupo de investigación

Grupo de investigación de alto rendimiento en Ingeniería Biomédica y Ciencia de Datos de la Universidad Rey Juan Carlos - Biomedical Engineering and Data Science Group of Universidad Rey Juan Carlos

Centro/Instituto de investigación

Centro de Investigación de Data, Complex Networks & Cybersecurity Sciences de la Universidad Rey Juan Carlos

Contacto

joseluis.rojo@urjc.es
Presentación

  • He received the Telecommunication Engineering Degree in 1996 from University of Vigo, Spain, and the PhD in Telecommunication Engineering in 2000 from the Polytechnical University of Madrid, Spain. Since 2016, he has been a Full Professor in the Department of Signal Theory and Communications, University Rey Juan Carlos, Madrid, Spain.

    He has published more than 100 papers in JCR journals and more than 160 (inter)national conference communications. He has participated in more than 55 projects (with public and private fundings), and directed more than 10 of them, including several actions in the National Plan for Research and Fundamental Science. He has been a Senior Researcher at the Prometeo program in Ecuador (Army University). Currently he is supporting a pioneer Degree Program on Biomedical Engineering, involving Hospitals and Companies in the electromedic and eHealth field.

    His main research interests include statistical learning theory, digital signal processing, and complex system modelling, with applications to digital communications and to cardiac signals and image processing. Also in the scope are Big Data analysis, Statistical Learning, Machine Learning and Health Data Processing. In 2016 he received the Price to the Talented Researcher from Rey Juan Carlos University.      He joined the Center for Computational Simulation in 2017, a joint inter-university entity for cooperation on the analysis of large amounts of data and intensive simulations.
                                                          

Docencia impartida en el curso actual
Trabajos de fin de estudios
Filtrar trabajos fin de estudios tutorizados o dirigidos
Tipo de trabajo
Relación
Histórico docente (últimos 10 cursos)
Listado de proyectos (Últimos 10 años)
Códigos de investigador
Métricas de impacto por agencia
Agencia Nº documentos Nº citas Índice H Q1 D1 IFNB IFNESI
Logo de la agencia 'Web of Science' Web of Science 303 3832 30 99 49 0,64 0,45
Logo de la agencia 'Scopus' Scopus 306 4731 34 119 80 0,53 -
Logo de la agencia 'Dialnet' Dialnet 10 - - - - - -
Publicaciones
Filtrar publicaciones y actividad investigadora
Mejor cuartil
Información adicional
  • Autores: JR Feijoo, A Guerrero, FJ Gimeno, M Castro, JL Rojo-Álvarez Cybersecurity Alert Prioritization in a Critical High Power Grid with Latent Space IEEE Access Clave: A Volumen: Páginas, inicial: 23754 final: 23770 Fecha: 2023 Impacto: 3.367 (94/273, Q2 Engineering, Electrical and Electronic) P Bernal Oñate, FM Melgarejo Meseguer, Enrique V. Carrera, JJ Sánchez Muñoz, A García Alberola, JL Rojo-Álvarez Different Ventricular Fibrillation Types in Low-dimensional Latent Spaces Ref revista/libro: Sensors Clave: A Volumen: 23(5) Páginas, inicial: 2527 final: Fecha: 2023 Impacto: 3.275 (15/64, Q1 Instruments and Instrumentation) Martinez-Mateu L; F Melgarejo-Meseguer; S Muñoz-Romero; FJ Gimeno-Blanes; A García-Alberola; S Rocher Ventura; J Saiz, JL Rojo-Álvarez Manifold analysis of the P-wave changes induced by pulmonary vein isolation during cryoballoon procedure Computers in Biology and Medicine 155: 106655final: Fecha: 2023 Impacto: 13/94 (Q1, Biology) Vadillo, A and Goya-Esteban, R and Caulier-Cisterna, R. and García- Alberola, A, JL Rojo Differential Beat Accuracy for ECG Family Classification Using Machine Learning IEEE Access Clave: A Volumen: 10 Páginas, inicial: 129362final: 81 Fecha: 2022 Impacto: 3.367 (94/273, Q2 Engineering, Electrical and Electronic) Bote L, S Ruiz-Llorente, S Muñoz, M Yagüe-Fernández, A Barquin, I Garcia-Donas, JL Rojo-Álvarez Multivariate Feature Selection and Autoencoder Embeddings of Ovarian Cancer Clinical and Genetic Data Expert Systems with Applications(ESW): 206 Páginas, inicial: 117865final: Fecha: 2022 Impacto: 8.665 (23/276, Q1 Engineering, Electrical and Electronic) Chaquet-Ulldemolins J, Gimeno-Blanes J, Moral-Rubio S, S Muñoz-Romero, JL Rojo- Álvarez On the Black-box Challenge for Fraud Detection using Machine Learning (II):Non- Linear Analysis through Interpretable Autoencoders. Applied Sciences 12(8) Páginas, inicial: 3568 final: Fecha: 2022 Impacto: 2.474 (67/148, Q2 Applied Physics) Chaquet-Ulldemolins J, Gimeno-Blanes J, Moral-Rubio S, S Muñoz-Romero, JL Rojo- Álvarez On the Black-box Challenge for Fraud Detection using Machine Learning (I): Linear Models and Informative Feature Selection Applied Sciences 12(7) Páginas, inicial: 3328 final: Fecha: 2022 Impacto: 2.474 (67/148, Q2 Applied Physics) Melgarejo-Meseguer FM, E Everss, M Gutiérrez-Fernández, S Muñoz-Romero, FJ Gimeno-Blanes, A García-Alberola, JL Rojo-Álvarez Generalization and Regularization for Inverse Cardiac Estimators IEEE Trans. Biomed. Eng 69(10) Páginas, inicial: 3029 final: 3038 Fecha: 2022 Impacto: 4.756 (37/98 Q2 Biomedical Engineering)
Méritos
Volver al Departamento

2026 © Universidad Rey Juan Carlos