Master Advisor

Master’s Degree in Artificial Intelligence

  • Miguel Mejia. Computer vision, clasificar galaxias. ​Camaras de seguridad.
  • Raul Peinado. Mining detector: earthrise-media/mining-detector (github.com)
  • Roberto Saul Cova. Aprendizaje por refuerzo para acoplar de forma autónoma una nave espacial con la Estación Espacial Internaciona.
  • Javier Gaton Herrguedas. Predicción de la posición de las nubes a partir de secuencias de imágenes del cielo.

  • Diogo Rivero. Mitigating Rogue Drone Threats with Agile Autonomous Swarms
  • Javier Garcia Ripoll. Mitigating Rogue Drone Threats with Agile Autonomous Swarms
  • Jose Calvo. Mitigating Rogue Drone Threats with Agile Autonomous Swarms
  • Raquel Zarraoa. Mitigating Rogue Drone Threats with Agile Autonomous Swarms
  • Pedro Luis. Mitigating Rogue Drone Threats with Agile Autonomous Swarms

2024

  • Exploring the Frontiers of Interactive AI with Large Language Models. Etxezarraga Hernández Mikel.

  • Application of LLM models for data extraction in public writing documents. Angel Guijarro.

  • Application of reinforcement learning techniques in air navigation simulations. Francisco Javier Cuesta Arija.

  • Design of an NLP-based solution for text summarization. Daniel Monescillo.

2023

  • Detecting space anomalies with self-supervised learning. Carlos de la Fuente Torres. *

  • Tool for automated detection and classification of deforestation using satellite imagery and deep learning techniques. Nestor Campos. *

2022

  • Sequencing Cosmic Evolution in Active Nucleus Galaxies. Manuel David Moras Acosta. 7.5/10. *

  • Comparison and Implementation of a GPT-3 Chatbot for the Banking Sector. Brenda Costa Bojanich. 9.5/10.

  • Aprendizaje por refuerzo para acoplar de forma autónoma una nave espacial con la Estación Espacial Internaciona. Daniel Perez. 8.5/10. *

  • Aprendizaje por refuerzo para controlar un dron de carreras en el entorno de simulación AirSim. Jorge Armando Gonzalez. 8.3/10.

  • Monitorización de tormentas geomagnéticas aplicando técnicas de detección de anomalías mediante aprendizaje no supervisado. Damian Mateos Garcia. 6/10.

  • Integrando Ingeniería de Sistemas Basada en Modelos con Aprendizaje automático empleando datos satelitales. Manuel Romero Martinez. 5.5/10.

  • Detección de anomalía no supervisada con líneas temporales univariadas aplicadas a datos satelitales. Jorge Vergara Roa. 5.5/10.

  • Predicción de incendios mediante técnicas de Machine Learning y Deep Learning. Ignacio Martinez. 5/10.

2020 - 2021

  • Detecting Exoplanets in Gaia data using Artificial Intelligence. Asier Abreu Aramburu. Dissertation: 2020-2021. *

  • Detection of exoplanets with neural networks using the Kepler mission database. Héctor Martín Solís. 9/10. Dissertation: 2020-12-01. *

  • Updating roads and constructions of SIGPAC in the municipality of Lorca (Murcia). Javier Jimenez Ochoa. 8.4/10. Dissertation: 2020-12-01.

  • Automatically Classify Soccer Player Profiles. Juan Ignacio Hurtado Cerrón. 7/10. Dissertation: 2020-12-01.

  • Detection of Similarities between Galaxies Using Artificial Intelligence. Víctor Hugo Zamora Abarca. 7.3/10. Dissertation: 2020-07-22. *

  • Automatic tattoo detection using convolutional neural networks. Gabriel Eduardo Capparelli Cucarella. 8.5/10. Dissertation: 2020-07-22.

  • Obstacle Tower Challenge. Carmen Raposo Jimenez. 9/10. Dissertation: 2020-07-27.

  • Optimize Reputation classification. Ramón Luján Crespo. 9/10. Dissertation: 2020-07-27.

  • Hand recognition using machine learning techniques. Andrea Álvarez Rodríguez. 7.6/10. Dissertation: 2020-05-13.

Master’s Degree in Big Data and Data Science

2024

  • León Lara, Manuel : T-055 Digital Twin to support drone/space big data generation

  • García Armario, Jesús : T-056 AI for the space sector,

2020

  • Detection of exoplanets with neural networks using the TESS mission database. Irene Delgado Borrego. 9/10.

  • Stock price trend prediction based on machine learning methods. Manuel Briceno. 8/10.

  • Detecting cloud organization patterns from satellite images. Miguel Ángel Castro Ríos. 7/10.

  • Detection of similarities between galaxies using machine learning algorithms. Miguel López Marín. 8/10. *

Master’s Degree in Computer Security

  • Tool for Automated and Passive Vulnerability Assessment of IoT Devices. Prof. Dr. Cesar Guzman. 7.5/10.

  • Secure Android System Configuration Based on CCN-STIC 453E Guide. Prof. Dr. Cesar Guzman. 7.5/10.

  • Methodology for Forensic Analysis of IoT Devices. Prof. Dr. Cesar Guzman. 6.0/10.

  • Methodology for Defense against Cyber Fraud in Ecuadorian Banking Entities. Prof. Dr. Cesar Guzman.