Profesores e Investigadores

Departamentos

Curriculum Vitae

Lucía Serrano Luján
Profesor/a Permanente Laboral
1
Quinquenios
2022
1
Docentia
2019-20
2
Sexenios investigación
2023

Centro

Esc. Tec. Sup. de Ingeniería Informática

Departamento

Informática y Estadística

Área

Ciencia de la Comp. e Inteligencia Artificial

Grupo de investigación

Grupo de investigación de alto rendimiento en algoritmos de optmización de la Universidad Rey Juan Carlos. / Group for Research in Algorithms For Optmization (GRAFO) of Universidad Rey Juan Carlos

Grupo docente

GRUPO DE INNOVACIÓN DOCENTE Consolidado DESARROLLO DE LA COMPETENCIA DIGITAL Y OPTIMIZACIÓN DEL RENDIMIENTO Y SATISFACCIÓN DE LOS ESTUDIANTES

Contacto

lucia.serrano@urjc.es
Presentación

  • I am Associate Professor at the Department of Computer Science and Statistics, belonging to the Universidad Rey Juan Carlos, where I have worked since September 2017. As a researcher, I enjoyed two-year National grant to do research at the Universidad Politécnica de Cartagena, from February-2022 and until January-2024.

    I obtained a degree in Technical Eng. in Computer Systems (2005) at the University of Murcia, where I also graduated in Advertising and Public Relations (2008) and Journalism (2011). I obtained a grant from Spanish Education Ministery to study the official Master's Degree in Computer Science and Mathematics applied to Science and Engineering in 2009, after which I enrolled in the Ph.D. in Renewable Energies at the Polytechnic University of Cartagena. I began collaborating on research projects during my years as a student and later as a Ph.D. student, culminating with the defense of the doctoral thesis, "Computing tools applied to the analysis of performance and sustainability of photovoltaic systems" in 2013, with a Cum Laude and European doctorate.

    My research has focused on studying the performance of solar photovoltaic technologies, the environmental impact of their latest generation (thin films), and the application of Artificial Intelligence to PV-related data. With this aim, I apply Life Cycle Assessment (LCA) methodology, as defined in the ISO 14040 series, and Grammatical Evolution to find models that reflect the specific behavior of Building Integrated Photovoltaic generators. 
    I spent three weeks at Prof. Frederik Krebs's research group (DTU National Laboratory for Sustainable Energy, Denmark) to study the environmental impacts of the production of Perovskite Solar Cells. I was awarded a postdoctoral grant for Research Talent from the Seneca Foundation from October 2015 until September 2017. I joined Professor Natalie Stingelin's research group in the Department of Materials at Imperial College (London) for two years. Also, I spent 8 months at the Solar Centre of King Abdullah University in Jeddah (Saudi Arabia), collaborating with the group of researcher Aram Amassian. 
    Recently, I spent 6 weeks at North Caroline State University, i.e., Organic and Carbon Electronics Laboratories (ORaCEL), where I participated in a study applying LCA to novel perovskite substrate production with Prof. Amassian research group.
    I have participated actively in 16 research projects publicly funded in competitive calls; 3 European, 10 Spanish and 3 regional. I have recently obtained a National Grant as PI (TED2021-132368A-C22) to develop a project entitled "CONTROLANDO LA DINAMICA DE LOS IONES EN VIDRIO Y PLASTICO PARA REDUCIR LA DEGRADACION Y LOS IMPACTOS AMBIENTALES DE MODULOS FOTOVOLTAICOS: ANALISIS DE CICLO DE VIDA".
    I have published 18 research articles, 13 in SCI journals, 9 belonging to the first quartile. I have published one book and two book chapters. I have also participated in 12 national and international conferences, being invited to the E-MRS Spring meeting in 2015. I was awarded the best poster at the same congress, won the prize for the best mentor (SURK - 2018), and was part of the project that won the National Prize of the Academy of Sciences of Cuba 2019. 
    I have published three articles on teaching innovation (in internationally indexed journals) and participated in three conferences on teacher training (as an assistant, speaker, and evaluator). I have supervised 24 End-of-Degree projects. 
    I have also been a reviewer of international and indexed scientific journals and a member of scientific committees.

    I enjoy dancing, swimming and playing the piano.

    Keywords: computer learning techniques, renewable energies, photovoltaic, life cycle assessment.

Docencia y asignaturas impartidas en el curso actual

  • Grado

    PLAN ASIGNATURA
    (2321) DOBLE G. DISEÑO Y DESARR. DE VIDEOJUEGOS - ING. DE COMPUTADORES (MOSTOLES)GESTION DE DATOS EN MEDIOS DIGITALES
    (2175) GRADO EN DISEÑO Y DESARROLLO DE VIDEOJUEGOS (MOSTOLES)GESTION DE DATOS EN MEDIOS DIGITALES
    (2128) GRADO EN EDUCACION INFANTIL (INGLES) (VICALVARO)COMPUTER SCIENCE DIGITAL COMPETENCY
    (2109) GRADO EN EDUCACION PRIMARIA (INGLES) (VICALVARO)ICT IN EDUCATION
    (2170) GRADO EN EDUCACION PRIMARIA Y ED PRIMARIA MENCION (INGLES)(VICALVARO)COMPUTER SCIENCE AND DIGITAL COMPETENCY
HISTÓRICO DOCENTE (ÚLTIMOS 10 CURSOS ACADÉMICOS)

Listado de proyectos (Últimos 10 años)
Códigos de investigador
Publicaciones
Información adicional
  • Cánovas-Saura, A., Serrano-Luján, L., Beltrán, V., & Padilla, J. (2024). Neural Network-Based Digital Camera Spectrophotometer: Application to Chromogenic Technologies Characterization. ACS Applied Optical Materials. https://doi.org/10.1021/acsaom.4c00180

    Jamil, B., & Serrano-Luján, L. (2024). Hybrid Metaheuristic Algorithms for Optimization of Countrywide Primary Energy: Analysing Estimation and Year-Ahead Prediction. Energies, 17(7), Article 7. https://doi.org/10.3390/en17071697

    Toledo, C., Ramos-Escudero, A., Serrano-Luján, L., & Urbina, A. (2024). Photovoltaic technology as a tool for ecosystem recovery: A case study for the Mar Menor coastal lagoon. Applied Energy, 356, 122350. https://doi.org/10.1016/j.apenergy.2023.122350

    Borrás-Gené, O., Hijón-Neira, R., Paredes-Barragán, P., & Serrano-Luján, L. (2024). A Hybrid Escape Room to Foster Motivation and Programming Education for Pre-Service Teachers. International Journal of Game-Based Learning (IJGBL), 14(1), 1¿17. https://doi.org/10.4018/IJGBL.343525

    Wang, T., Li, R., Ardekani, H., Serrano-Luján, L., Wang, J., Ramezani, M., Wilmington, R., Chauhan, M., Epps, R. W., Darabi, K., Guo, B., Sun, D., Abolhasani, M., Gundogdu, K., & Amassian, A. (2023). Sustainable materials acceleration platform reveals stable and efficient wide-bandgap metal halide perovskite alloys. Matter. https://doi.org/10.1016/j.matt.2023.06.040

    Serrano-Luján, L., Toledo, C., Colmenar, J. M., Abad, J., & Urbina, A. (2022). Accurate thermal prediction model for building-integrated photovoltaics systems using guided artificial intelligence algorithms. Applied Energy, 315, 119015. https://doi.org/10.1016/j.apenergy.2022.119015

    Borrás-Gené, O., Serrano-Luján, L., & Díez, R. M. (2022). Professional and Academic Digital Identity Workshop for Higher Education Students. Information, 13(10), Article 10. https://doi.org/10.3390/info13100490

    Almudena Macias-Guillén, Raquel Montes Díez, Lucía Serrano-Luján, Oriol Borrás-Gené. (2021) Educational Hall Escape: Increasing Motivation and Raising Emotions in Higher Education Students. Education sciences 11(9), 527. https://doi.org/10.3390/educsci11090527

    Lucía Serrano-Lujan, Carlos Toledo Arias, Jose Manuel Colmenar, Jose Abad, Antonio Urbina. (2020)
    Artificial Intelligence Applied to the Thermal Characterization of Building Integrated Photovoltaic Technologies.     37th European Photovoltaic Solar Energy Conference and Exhibition 1748-1751. 10.4229/EUPVSEC20202020-6DO.13.2

    Toledo Arias, C., Serrano-Luján, L., Abad, J., Limpitelli, A., Urbina, A. (2019). Measurement of thermal and electrical parameters in photovoltaic systems for predictive and cross-correlated monitorization. Energies, 12(4), 668 .  https://doi.org/10.3390/en12040668

    Serrano-Luján, L., Espinosa, N., Abad, J., & Urbina, A. (2017). The greenest decision on photovoltaic system allocation. Renewable Energy, 101, 1348-1356. https://doi.org/10.1016/
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