PATRIZIO BELLAN

Research Interests:  Multi-Agent Systems;  Retrieval-Augmented Generation; Information Extraction in low-resource settings; Knowledge Extraction and Knowledge Graph Construction; Data Collection, Cleaning, and Dataset Creation.

Bio:  Patrizio Bellan is a researcher specializing in Artificial Intelligence, Natural Language Processing, and Generative AI. He earned his Ph.D. in Computer Science at the Free University of Bozen-Bolzano, where he focused on Process Extraction from Text, integrating corpus creation, benchmarking, and generative AI approaches. He also holds an MSc in Cognitive Science—Language and Multi-modal Interaction from the University of Trento. His work contributes to AI-based technologies, with applications in healthcare, knowledge extraction, and intelligent systems. He has published extensively in AI and NLP conferences. He has received research grants, such as the HPC CINECA Researcher Grant and the Young Researcher Grant. Beyond research, he serves as a reviewer for major conferences and journals in Artificial Intelligence, NLP, and Computer Science.