Carlos Platero Dueñas

Carlos Platero Dueñas is a Full Professor at the Department of Electrical, Electronic and Automatic Engineering and Applied Physics at the Universidad Politécnica de Madrid (UPM), where he has served for 31 years. He leads the research group Tecnologías para Ciencias de la Salud since 2015 and contributes to interdisciplinary research at the intersection of biomedical engineering, neuroscience, and artificial intelligence.

• Department: Electrical, Electronic and Automatic Engineering and Applied Physics
• Research Group: Tecnologías para Ciencias de la Salud (Health Science Technologies)
• Teaching: 34 years of academic experience, including 128 final projects supervised

His research focuses on applying computational methods to neurodegenerative diseases, particularly Alzheimer's and Parkinson's, through neuroimaging analysis, predictive modeling, and hippocampal segmentation. Recent work includes AT(N) profiles for dementia prediction and machine learning techniques for clinical data modeling.

The 15 most recent publications reveal a strong emphasis on Alzheimer's disease progression, hippocampal segmentation, and predictive analytics using neuroimaging and clinical markers. Key methodologies involve graph cuts algorithms, longitudinal modeling, and label fusion techniques applied to MRI and CT scans.

Teaching contributions include:

• 128 final projects supervised (undergraduate and master's)
• 2 doctoral theses directed
• Active participation in university governance through the School Council and Researcher Staff Committee