Miguel García Torres

Dr. Miguel García Torres is a full professor at the Universidad Pablo de Olavide in the Department of Sports and Informatics. With a PhD in Computer Science from Universidad de La Laguna (2007), his research focuses on advanced data science methodologies including feature selection, multivariate correlation analysis, and evolutionary computation applications.

• Key research areas: Feature Selection, Data Mining, Machine Learning
• Active in interdisciplinary applications: Health Informatics, Energy Analytics, Medical Imaging

Recent publications demonstrate expertise in:

• 2023: Inter-attribute cooperation in high-dimensional data
• 2022: Energy consumption pattern analysis in Paraguay
• 2021: Parallel evolutionary biclustering, dengue classification through CatPCA-MSU

Techniques developed include:

• Multivariate Symmetrical Uncertainty (MSU) framework
• Neuroevolutionary optimization for medical imaging
• Trust-based deep learning evaluation methodology