Jordi Delgado Pin

Jordi Delgado Pin is a faculty member at the Universitat Politècnica de Catalunya (UPC), affiliated with the Faculty of Computer Science (FIB) and the Department of Computer Science. He is an active researcher in the IDEAI-UPC and SOCO (Soft Computing) research groups, contributing extensively to artificial intelligence, machine learning, and complex systems.

His research interests include artificial intelligence, machine learning, computational complexity, neural networks, and data science, with applications in biological and social networks. He has made significant contributions to unsupervised learning methods, particularly in contrastive divergence and community detection in complex networks.

The analysis of his recent publications reveals a strong focus on machine learning optimization, neural network training, and theoretical foundations of computing. His work spans both theoretical and applied domains, including educational technology and bio-inspired algorithms.

Jordi Delgado Pin has participated in multiple competitive R&D+i projects, such as 'Gestió i Anàlisi de Dades Complexes' and 'Mineria en datos biológicos y sociales', demonstrating sustained research activity. He has also contributed to educational initiatives in programming and data science.

He is involved in key research laboratories including IDEAI-UPC, SOCO, and LARCA, fostering interdisciplinary collaboration in data science and AI.