Raúl Casaña-Eslava, a former IDAL researcher who is currently carrying out his PhD at Liverpool John Moores University (LJMU), received the best paper award at the summer school on Machine Learning organized by the Institute of New Imaging Technologies (INIT) of the University Jaume I (Castellón, Spain) and co-sponsored by the Spanish Association of Pattern Recognition and Image Analysis (AERFAI). Raúl presented his recent work on Probabilistic Quantum Clustering, one of the cornerstones of his PhD. The awarded poster was co-authored by two other members of the Department of Applied Mathematics at LJMU and by the IDAL member José D. Martín-Guerrero.
