Fernando Martínez Martínez
Profesor/a Visitante

Centro

Esc. Tec. Sup. de Ingeniería Informática

Departamento

Informática y Estadística

Área

Lenguajes y Sistemas Informáticos
Información general
Presentación
  • Fernando Martínez is a vissinting professor of  computer science and statistics at the Universidad Rey Juan Carlos (URJC). His research interests include machine learning, deep learning, social network analysis, data collection, biostatistics, bioinformatics, inferential statistics, operations research and experimental design.

    He received his PhD at the URJC in February 2024. His thesis focused on the development of a standardized pipeline for analysis of social networks, applying modern and traditional techniques destined to reveal all the available information in such networks, palliating the lack of replication and standardization in this field. Besides, as part of this thesis, the pipeline was aimed to be deployed in a public dashboard for social network analysis.

    Furthermore, he was part of the CS-Track project focused on Citizen Science. He is also participating in the project CoTEDI, aimed to analyse the development of Computational thinking in education aiming for divesity and inclusion.

Méritos
Docencia y asignaturas impartidas en el curso actual
  • Grado

    PLAN ASIGNATURA
    (2118) DOBLE GRADO EN INGENIERIA DEL SOFTWARE Y MATEMATICAS (MOSTOLES) IFUNDAMENTOS FISICOS DE LA INFORMATICA
    (2118) DOBLE GRADO EN INGENIERIA DEL SOFTWARE Y MATEMATICAS (MOSTOLES) IMETODOS OPERATIVOS Y ESTADISTICOS DE GESTION
    (2316) DOBLE GRADO EN INGENIERIA DEL SOFTWARE Y MATEMATICAS (MOSTOLES) IIFUNDAMENTOS FISICOS DE LA INFORMATICA
    (2316) DOBLE GRADO EN INGENIERIA DEL SOFTWARE Y MATEMATICAS (MOSTOLES) IIMETODOS OPERATIVOS Y ESTADISTICOS DE GESTION
    (2114) DOBLE GRADO EN INGENIERIA INFORMATICA E INGENIERIA DEL SOFTWARE (MOSTOLES)FUNDAMENTOS FISICOS DE LA INFORMATICA
    (2114) DOBLE GRADO EN INGENIERIA INFORMATICA E INGENIERIA DEL SOFTWARE (MOSTOLES)METODOS OPERATIVOS Y ESTADISTICOS DE GESTION
    (2026) GRADO EN BIOLOGIA (MOSTOLES) IBIOESTADISTICA
    (2317) GRADO EN BIOLOGIA (MOSTOLES) IIBIOESTADISTICA
    (2365) GRADO EN BIOLOGIA (MOSTOLES) IIIBIOESTADISTICA
    (2360) GRADO EN CIENCIA E INGENIERIA DE DATOS (FUENLABRADA)ASPECTOS LEGALES Y ETICOS
    (2360) GRADO EN CIENCIA E INGENIERIA DE DATOS (FUENLABRADA)ESTRUCTURA DE COMPUTADORES
    (2265) GRADO EN DISEÑO Y DESARROLLO DE VIDEOJUEGOS (MADRID)FISICA PARA VIDEOJUEGOS
    (2285) GRADO EN INGENIERIA DE LA CIBERSEGURIDAD (MOSTOLES)METODOS OPERATIVOS Y ESTADISTICOS DE GESTION
    (2034) GRADO EN INGENIERIA DEL SOFTWARE (MOSTOLES)FUNDAMENTOS FISICOS DE LA INFORMATICA
    (2034) GRADO EN INGENIERIA DEL SOFTWARE (MOSTOLES)METODOS OPERATIVOS Y ESTADISTICOS DE GESTION
HISTÓRICO DOCENTE (ÚLTIMOS 10 CURSOS ACADÉMICOS)
Listado de proyectos (Últimos 10 años)
Códigos de investigador
Publicaciones
  • Krukowski, S., Martínez-Martínez, F., & Hoppe, H. U. (2023, August). Differential Characteristics and Collaborative Interactions of Institutional and Personal Twitter Accounts in a Citizen Science Context. In International Conference on Collaboration Technologies (pp. 68-83). Cham: Springer Nature Switzerland.

    Martínez-Martínez, F., Roldán-Álvarez, D., Martín, E., & Hoppe, H. U. (2023). An analytics approach to health and healthcare in citizen science communications on Twitter. Digital Health9, 20552076221145349.

    De-Groot, R., Golumbic, Y. N., Martínez Martínez, F., Hoppe, H. U., & Reynolds, S. (2022). Developing a framework for investigating citizen science through a combination of web analytics and social science methods¿The CS Track perspective. Frontiers in Research Metrics and Analytics7, 988544.

    Roldán-Álvarez, D., Martínez-Martínez, F., Martín, E., & Haya, P. A. (2021). Understanding discussions of citizen Science around sustainable development goals in Twitter. IEEE Access9, 144106-144120.


    Roldán-Álvarez, D., Martínez-Martínez, F., & Martín, E. (2021, July). Citizen science and open learning: A Twitter perspective. In 2021 International Conference on Advanced Learning Technologies (ICALT) (pp. 6-8). IEEE.