Jesus Manuel Maudes Raedo

Jesus Manuel Maudes Raedo serves as an Associate Professor in the Department of Computer Engineering at the School of Engineering, Universidad de Burgos, Spain. He is actively affiliated with Consolidated Research Unit 170 and leads the BEST-AI research group (Biology, Education and Health with Advanced Computer Technologies), while previously contributing to the ADMIRABLE group (Advanced Data Mining Research and Bioinformatics Learning).

His academic foundation includes a PhD in Computer Science from Universidad de Burgos (2010), with doctoral research titled "Combination of Classifiers, Feature Construction and Diversity Increase" supervised by Dr. Juan José Rodríguez Diez and Dr. César García Osorio. This work established his expertise in pattern recognition methodologies.

Dr. Maudes Raedo's research centers on Machine Learning and Artificial Intelligence with specialized applications in Bioinformatics and Health Informatics. His technical focus involves classifier ensemble methods, feature engineering, and diversity optimization in recognition systems, extending into interdisciplinary domains like medical diagnostics and educational technology through the BEST-AI framework. This work bridges theoretical computer science with real-world biological and healthcare challenges.

His laboratory activities are anchored in the BEST-AI research group, which develops advanced computational solutions for biology, education, and health sectors, building on prior bioinformatics work with the ADMIRABLE group. Current projects emphasize cross-domain AI integration while maintaining strong ties to the university's Consolidated Research Unit 170 infrastructure.