I am Postdoc Researcher 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. To learn more about my work, please check out my main publications and teaching.

  1. PhD in Artificial Intelligence, 2023

    University of Córdoba
  2. B. Sc. Computer Engineering, 2019

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

    Menendez Pelayo International University

Professional experience

  1. Postdoctoral Researcher (JdC grant)

    University of Córdoba Dec 2025 - Present Córdoba
  2. Substitute Lecturer

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

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

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

    University of Córdoba Sept 2019 - Oct 2019 Córdoba
  6. 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. Ordinal evolutionary artificial neural networks for predicting diabetic nephropathy progression

    Antonio Manuel Gómez-Orellana, Michele Bernardini, Rafael Ayllón-Gavilán, Víctor Manuel Vargas-Yun , Pedro Antonio Gutiérrez, César Hervás-Martínez, Luca Romeo
    Applied Soft Computing, vol. 197, pp. 115153. DOI URL
  3. Soft labelling for deep ordinal classification: an experimental review

    Víctor Manuel Vargas-Yun, David Guijo-Rubio , Rafael Ayllón-Gavilán, Antonio Manuel Gómez-Orellana, Pedro Antonio Gutiérrez, César Hervás-Martínez
    IEEE Transactions on Knowledge and Data Engineering, pp. 1–20. DOI
  4. Automatic ordinal classification of olive plantations using deep learning and LiDAR data fusion

    Alejandro Morales-Martín , F.J. Mesas-Carrascosa, J. Muñoz-Lorite, S. Cantón-Martínez, F.J. Pérez-Porras, Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez
    pp. 538 - 545. DOI URL
  5. dlordinal: A Python package for deep ordinal classification

    Francisco Bérchez-Moreno, Rafael Ayllón-Gavilán, Víctor Manuel Vargas-Yun , David Guijo-Rubio, César Hervás-Martínez, Juan Carlos Fernández, Pedro Antonio Gutiérrez
    Neurocomputing, vol. 622, pp. 129305. DOI URL

Recent teaching

  1. Programación Científica (PC)

    Grado de Física

    University of Córdoba (Córdoba) 6 ECTS · 1st year · 2nd semester Academic year 2025/2026 18 hours of labs 12 hours of theory
  2. Sistemas Operativos (SO)

    Grado de Ingeniería Informática

    University of Córdoba (Córdoba) 6 ECTS · 2nd year · 1st semester Academic year 2025/2026 48 hours of labs
  3. Fundamentos de Informática (FI)

    Grado de Ingeniería Electrónica Industrial

    University of Córdoba (Córdoba) 1st year · 1st semester Academic year 2024/2025 32 hours of labs