Eva Cernadas Garcia

Eva Cernadas Garcia is a Professor at the University of Santiago de Compostela (Spain), affiliated with the Faculty of Physics and the Department of Electronics and Computing. She is part of the Center for Research in Intelligent Technologies (CITIUS). Her research focuses on Computer Science and Artificial Intelligence, with notable contributions in machine learning, pattern recognition, and image analysis.

Earning her doctorate in 1997 from the University of Santiago de Compostela, her thesis addressed methodology for designing discrete image filters applied to mammography. Her work combines computational techniques with practical applications, such as automated evaluation of food products like Iberian ham.

Her publications span topics including kernel-based classification algorithms, comparative studies of machine learning models, and multiscale image analysis. Key contributions include the Direct Kernel Perceptron and evaluations of classifier efficacy in real-world scenarios. She collaborates extensively with researchers like Manuel Fernández-Delgado and Senén Barro.