I am Assistant Professor at the AYRNA research group at the University of Córdoba in Spain. My current research interests include a wide range of topics such as deep learning, ordinal classification, and time series classification. Specifically, I am focused on developing new methodologies that utilise deep learning models to solve ordinal classification problems. I am also interested in applying these methods to real-world industrial, biomedical and renewable energies applications. Additionally, I have been involved in numerous scientific projects primarily related to ordinal classification and applications in the area of healthcare and renewable energies. I am PhD in Artificial Intelligence by the University of Cordoba in 2023, MEng in Artificial Intelligence Research from Menendez Pelayo International University in 2019 and a BSc in Computer Engineering from the University of Cordoba in 2018.

  1. PhD in Artificial Intelligence, 2023

    University of Córdoba
  2. M. Eng. in Artificial Intelligence Research, 2019

    Menendez Pelayo International University
  3. B. Sc. Computer Engineering, 2018

    University of Córdoba

Professional experience

  1. Assistant Professor

    University of Córdoba Sept 2026 - Present Córdoba
  2. Postdoctoral Researcher (JdC grant)

    University of Alcalá Dec 2025 - Aug 2026 Madrid
  3. Substitute Lecturer

    University of Córdoba Nov 2023 - Nov 2025 Córdoba
  4. Researcher

    University of Córdoba Oct 2023 - Nov 2023 Córdoba
  5. Predoctoral Researcher (PhD grant)

    University of Córdoba Oct 2019 - Sept 2023 Córdoba
  6. Researcher

    University of Córdoba Sept 2019 - Oct 2019 Córdoba
  7. Researcher

    University of Córdoba Sept 2018 - May 2019 Córdoba

Recent journal publications

  1. TOC-UCO: a comprehensive repository of tabular ordinal classification datasets

    Rafael Ayllón-Gavilán, David Guijo-Rubio, Antonio Manuel Gómez-Orellana , Francisco Bérchez-Moreno, Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez
    Neurocomputing, vol. 684, pp. 133528. DOI URL
  2. An exhaustive ordinal ECOC framework for ordinal classification

    Francisco Bérchez-Moreno , Víctor Manuel Vargas-Yun, Alberto Suárez, Lorena Álvarez-Pérez, Pedro Antonio Gutiérrez
    International work-conference on the interplay between natural and artificial computation, pp. 486–495. DOI URL
  3. From kellgren-lawrence to calcium pyrophosphate crystal deposition: a soft-labelling framework for knee osteoarthritis assessmen

    Francisco Bérchez-Moreno, Riccardo Rosati, Maria Chiara Fiorentino, Víctor Manuel Vargas-Yun , Edoardo Cipolletta, Emilio Filippucci, Luca Romeo, Pedro Antonio Gutiérrez, César Hervás-Martínez
    arXiv preprint arXiv:2605.28176. URL
  4. A novel ordinal multi-view aggregation scheme for oak defoliation

    Francisco Bérchez-Moreno, Ricardo Enrique Hernández Lambraño, David Guijo-Rubio, Víctor Manuel Vargas-Yun , Francisco José Ruiz-Gómez, Juan Carlos Fernández, Pablo González-Moreno
    arXiv preprint arXiv:2605.28151. URL
  5. A CNN-based approach to the reverse game of life problem

    Ángel Fernández Caravaca , David Guijo-Rubio, Víctor Manuel Vargas-Yun
    Bioinspired intelligent systems: From robotics and computer vision to trustworthy applications, pp. 258–267. DOI

Recent teaching

  1. Arquitectura de Computadores (AC)

    Grado de Ingeniería Informática

    University of Córdoba (Córdoba) 6 ECTS · 2st year · 1st semester Academic year 2026/2027 72 hours of labs
  2. Configuración y Evaluación de Sistemas Informáticos (CESI)

    Grado de Ingeniería Informática

    University of Córdoba (Córdoba) 6 ECTS · 3st year · 1st semester Academic year 2026/2027 34 hours of labs
  3. Fundamentos y Estructura de Computadores (FEC)

    Grado de Ingeniería Informática

    University of Córdoba (Córdoba) 6 ECTS · 1st year · 2nd semester Academic year 2026/2027 74 hours of labs