Enrique Alexandre Cortizo

Enrique Alexandre Cortizo is a Full Professor at the Department of Signal Theory and Communications, Universidad de Alcalá. His research focuses on machine learning, optimization algorithms, and their applications in renewable energy systems, audio coding, and smart technologies. He leads the GHEODE research group, dedicated to modern heuristics and network design. He earned his doctorate in 2004 from Universidad de Vigo, with a thesis on audio coder information flow management, supervised by Dr. Miguel Antonio Peña Jimenez.

His work spans computational intelligence in renewable energy, signal processing for hearing aids, and metaheuristic optimization techniques. Recent studies include explainable AI for smart agriculture, hybrid learning models in education, and sensor optimization for environmental monitoring. He has contributed to over 50 publications since 1999, addressing topics like wind energy systems, wave height prediction, and acoustic signal classification in hearing aids.

• Education: Ph.D. in Signal Theory, Universidad de Vigo (2004)
• Research Group: GHEODE (Modern Heuristics and Network Design)
• Key Areas: Renewable Energy Optimization, Machine Learning Applications, Audio Signal Processing

His research emphasizes practical solutions for energy efficiency, environmental monitoring, and assistive technologies. He has pioneered methodologies for sensor placement in temperature and wind field reconstructions, as well as hybrid algorithms for feature construction in supervised learning.