Supervised theses (116) Theses supervised by Department members View defended theses

2026

  1. Depth Error and Noise Analysis in Multi-frequency Indirect Time-of-Flight Imaging

    Sanmartín Vich, Onofre

    Supervised by JAVIER CALPE MARAVILLA

2024

  1. A novel machine learning framework for precursor identification and extreme hurricane prediction

    Martínez Amaya, Javier

    Supervised by VERONICA NIEVES CALATRAVA y JORDI MUÑOZ MARI
  2. Combining machine learning models for improving their predictive quality and usefulness in biomedical applications

    Rodríguez Belenguer, Pablo

    Supervised by EMILIO SORIA OLIVAS y VICTOR MANGAS SANJUAN
  3. Crop yield estimation using remote sensing and Machine Learning

    Mateo Sanchis, Anna Maria

    Supervised by JORDI MUÑOZ MARI, GUSTAU CAMPS VALLS y MARIA PILES GUILLEM
  4. Design of an electrocardiographic lead reconstruction algorithm using machine learning in the context of ambulatory monitoring

    GRANDE FIDALGO, ALEJANDRO

    Supervised by JAVIER CALPE MARAVILLA y EMILIO SORIA OLIVAS
  5. Estudio de métodos estadísticos y de machine learning avanzados para la estimación de momentos de segundo orden, en problemas de regresión con énfasis en el análisis de series temporales

    Beleña Lamor, Leon

    Supervised by VALERO LAPARRA PEREZ-MUELAS
  6. Generación de maniobras suaves en el espacio 3D

    VANEGAS ZABALA, GLORIA ISABEL

    Supervised by VICENT GIRBES JUAN
  7. Machine health monitoring for welding guns: Early detection of performance issues in resistance welding

    IBAÑEZ BORDALLO, DANIEL

    Supervised by JULIO MARTOS TORRES y JESUS SORET MEDEL
  8. Study and improvement of firmware for advanced trigger algorithms, real-time data compression, and pile-up in neda (neutron detector array)

    Deltoro Berrio, Jose Manuel

    Supervised by VICENTE GONZALEZ MILLAN
  9. Study of magnetic absorber sheets for emi control in electronic devices

    Victoria Ahuir, Jorge

    Supervised by JOSE GABRIEL TORRES PAIS y ADRIAN SUAREZ ZAPATA

2023

  1. Contributions and applications around low resource deep learning modeling

    Valles Perez, Ivan

    Supervised by EMILIO SORIA OLIVAS
  2. Desarrollo y análisis de sensores inalámbricos y sistemas asociados de IoT

    SABAN, MOHAMED

    Supervised by ALFREDO ROSADO MUÑOZ
  3. Towards causal discovery for earth system sciences

    Díaz Salas-Porras, Emiliano

    Supervised by GUSTAU CAMPS VALLS, GHERARDO VARANDO y ADRIAN PEREZ SUAY
  4. Transfer learning of deep learning models for cloud masking in optical satellite images

    Mateo García, Gonzalo

    Supervised by LUIS GOMEZ CHOVA