EVA CERNADAS GARCIA

EVA CERNADAS GARCIA is an Associate Professor at the University of Santiago de Compostela, affiliated with the Department of Electronics and Computation within the Faculty of Physics. She completed her PhD in 1997 with a thesis titled *Metodología de diseño de filtros de imagén discretos tipo unsharp masking aplicación a mamografía* (Methodology for designing discrete image filters of unsharp masking type applied to mammography), supervised by Juan José Vidal Carreira and Lorenzo Gómez González. She is part of the research group *IA aplicada Intelixencia Artificial Aplicada* (Applied Artificial Intelligence).

Her research focuses on machine learning, pattern recognition, and image processing. Notable contributions include studies on classifier performance evaluation and kernel-based algorithms. She has collaborated with institutions like the *Centro de Investigación en Tecnoloxías Intelixentes (CITIUS)* (Center for Intelligent Technology Research). Her work spans applications in medical imaging, food quality analysis, and computational statistics.

Selected publications include influential studies on ensemble classification methods and kernel perceptron algorithms, published in journals like *Journal of Machine Learning Research* and *Neural Networks*. Her research emphasizes practical solutions for real-world classification challenges and efficient computational techniques.