SANDRA MARIA GOMEZ CANAVAL

Sandra María Gómez Canaval is an Associate Professor at the Universidad Politécnica de Madrid, affiliated with the Department of Computer Systems. Her research focuses on:

• Artificial Intelligence and Machine Learning
• Bio-Inspired Computational Models
• Distributed and High-Performance Computing
• Generative Models and Network Security
• Data Mining and Time Series Forecasting

Her recent work explores machine learning applications for:

• Network traffic prediction
• Harmful algal bloom forecasting
• Energy-efficient deep neural networks
• Automated guided vehicle control
• Cryptomining attack detection

Her publications highlight expertise in Generative Adversarial Networks (GANs), cloud-based security, and Industry 4.0 systems. She actively contributes to:

• Data augmentation techniques
• Parallel computing architectures
• Network digital twin development