Supervised theses (372) Theses supervised by Centre members

2024

  1. Adaptive computation of fluid flow in porous media

    Varela Rodríguez, Hiram

    Supervised by María González Taboada
  2. COVIDBENS: epidemiología de COVID-19 basada en aguas residuales de A Coruña

    Trigo Tasende, Noelia

    Supervised by Margarita Poza Domínguez, Ricardo Cao Abad y Susana Ladra González
  3. Contributions to the mathematical analysis and numerical simulation of stochastic models of general equilibrium with heterogeneous agents and fixed costs

    Ráfales, Jonatan

    Supervised by Carlos Vázquez Cendón
  4. Contributions to the pricing of financial derivatives contracts in commoditiy markets and the use of quantum computing in finance

    Manzano Herrero, Alberto Pedro

    Supervised by Carlos Vázquez Cendón
  5. Cost-sensitive learning for credit risk

    C-Rella, Jorge

    Supervised by Ricardo Cao Abad y Juan Manuel Vilar Fernández
  6. Depression Severity Estimation on the Internet: New Models and Resources

    Pérez Vila, Anxo

    Supervised by Álvaro Barreiro García y Javier Parapar López
  7. Design, analysis and optimization of biochemical and genetic regulation routes using stochastic models

    Sequeiros Ferreiro, Carlos Xosé

    Supervised by Carlos Vázquez Cendón
  8. Emerging technologies, IoT/IIoT architectures and Edge/-Fog computing mechanisms for cybersecurity, energy efficiencyand decentralized/distributed communications

    Froiz Míguez, Iván

    Supervised by Tiago Manuel Fernández Caramés y Paula Fraga Lamas
  9. Generating Commonsense Explanations with Answer Set Programming

    Muñiz Castro, Brais

    Supervised by José Pedro Cabalar Fernández y Gilberto Pérez Vega
  10. High dimensional single-index mixture cure models

    Piñeiro Lamas, Beatriz

    Supervised by Ricardo Cao Abad y Ana López Cheda
  11. High-performant and easy-to-use solutions for complex parallel problems

    Álvarez Martínez, Millán

    Supervised by Basilio Bernardo Fraguela Rodríguez
  12. Human activity recognition: new approaches based on machine learning and deep learning

    García González, Daniel

    Supervised by Enrique Fernández Blanco y Miguel Ángel Rodríguez Luaces
  13. Machine learning for anomaly detection: From surface to deep

    Novoa Paradela, David

    Supervised by Óscar Fontenla Romero y Berta María Guijarro Berdiñas
  14. New Algorithms and Methodologies for Building Information Retrieval Collections

    Otero Freijeiro, David

    Supervised by Álvaro Barreiro García y Javier Parapar López
  15. Research on Cancer Risk and Drug Treatment Efficacy Based on Database Construction and IFPTML Prediction Model

    Ren, Shumin

    Supervised by Julián Alfonso Dorado De La Calle
  16. Study of th Block Assembly Scheduling Problem in Shipbuilding using Exact Methods and Metaheuristic Algorithms

    Pernas Álvarez, Javier

    Supervised by Diego Crespo Pereira y José Antonio Becerra Permuy

2023

  1. Aplicación de algoritmos de aprendizaje automático para la detección de anomalías de tráfico en entornos IoT

    Vigoya Morales, Laura Victoria

    Supervised by Víctor Manuel Carneiro Díaz y Diego Fernández Iglesias
  2. Application of automated software development techniques in Geographic Information Systems

    Hernández Alvarado, Suilen

    Supervised by Óscar Pedreira Fernández y Miguel Ángel Rodríguez Luaces
  3. Automatic Detection and Characterization of Pathological Fluid Regions in Optical Coherence Tomography Images

    Lizancos Vidal, Plácido Francisco

    Supervised by Jorge Novo Buján y Marcos Ortega Hortas
  4. Contributions in the acoustic study of fluid-structure interaction problems with porous materials and thin structures

    Sagartzazu Sorazu, Xabier

    Supervised by Luís María Hervella Nieto y Andrés Prieto Aneiros