Fabrizio Angiulli

Fabrizio Angiulli is an Associate Professor at the Department of Innovative Technologies (DIMES) of the University of Calabria, Italy. His research focuses on knowledge discovery, data mining, outlier detection, and related areas such as logic programming and bioinformatics. He has contributed extensively to methods for outlier detection in data streams, parallel computing strategies, and applications in cybersecurity and environmental science.

Key research interests include distance-based outlier detection, data stream analysis, and integrating domain knowledge for anomaly detection. His work bridges theoretical foundations (e.g., logic programming for outlier characterization) with practical applications, including RFID system monitoring and genomic data analysis.

Angiulli's publications span top venues in data mining and AI, with notable contributions like the DOLPHIN algorithm for large-scale outlier detection. He teaches courses such as 'Logic Networks and Computers' and has developed systems like LP-OD for logic-based outlier detection.