JOSE MARIA MATIAS FERNANDEZ

Jose Maria Matias Fernandez is a Full Professor in the Department of Statistics and Operations Research at the School of Industrial Engineering, Universidade de Vigo. His research spans machine learning, structured deformations in continuum mechanics, wind energy modeling, and mineral resource management.

• Doctorate from University of Santiago de Compostela (2003): Thesis on neural networks for regression/classification

His work focuses on global relaxation methods for hierarchical structured deformations, asymptotic analysis of thin structures, and applications of machine learning to environmental and industrial problems. Recent publications (2023-2025) emphasize multiscale geometrical modeling and energy minimization in material science.

He has contributed to interdisciplinary fields including:

• Wind power density estimation using support vector machines
• Heavy metal adsorption modeling in soils
• 3D laser scanning applications for slate/wood-pulp characterization
• Bayesian networks for risk assessment in mining and transportation

His research group GESSMin specializes in sustainable mineral resource management. Key collaborations involve electrical engineering problems (e.g., plug-in vehicles' impact on grids) and astrophysical studies of planetary nebulae.