Teacher assistant

• Probability and Random Signals (B.S in Data Engineering, 2nd course)
  • Python laboratories, practical implications of probability and random signals
• Discrete Time Signals and Systems (B.S in Telecommunication Engineering, 3rd course)
  • MATLAB programming, signal processing, and system analysis
• Advanced Signal and Data Analysis (B.S in Data Engineering, 3th course)
  • Machine learning, generative models, Python programming

Assistant professor

• Probability and Random Signals (B.S in Data Engineering, 2nd course)
  • Python laboratories, practical implications of probability and random signals
• Discrete Time Signals and Systems (B.S in Telecommunication Engineering, 3rd course)
  • MATLAB programming, signal processing, and system analysis
• Advanced Signal and Data Analysis (B.S in Data Engineering, 3th course)
  • Machine learning, generative models, Python programming
• Reinforcement Learning (M.S in Signal and Communication Theory)
  • Python programming, reinforcement learning algorithms, and applications
• Machine Learning Lab (M.S in Signal and Communication Theory)
  • Python programming, machine learning algorithms, and applications

Masters’ thesis advisor

• Analysis of Explainable methods for Graph Completion based on Rules- Ana Jiménez Bejarano (2023) - 9.0
• Analysis and exploration of the impact of Sample size on Survival Analysis - Yanis Halil (2024) - 9.5
• Design and implementation of variational autoencoders for multimodal survival analysis in medical data - Alba Garrido (2025) - 10.0
• Design and implementation of a neural network based system for ship trajectory estimation using magnetic sensor data - Borka Vilallonga Tejela (2025) - 9.3

Bachelors’ Thesis advisor

• Implementación de técnicas de inferencia causal basadas en redes neuronales para la estimación de efectos de tratamiento - Francisco Javier Gómez Fernández-Getino (2025) - 9.5