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His research spans several Data Science areas, including machine/deep learning, anomaly detection and explanation, process mining, data analytics methods for geosciences and remote sensing, and data mining techniques for cybersecurity and fraud detection.
His research spans several Data Science areas, including machine/deep learning, anomaly detection and explanation, process mining, data analytics methods for geosciences and remote sensing, and data mining techniques for cybersecurity and fraud detection.
He has been involved in several research projects (serving also as scientific advisor for some of them), such as the Horizon project PERUN, the H2020 project CyberSec4Europe, PRIN 2022 iSafety, PNRR SERICS (SECCO), Italian Cyber Security District, DIVA – Data mining for IVA, FRAME (a Framework for handling complex information systems), OpenKnowTech, Discovery Farm, the (POR) projects SPIDASEC and IDesk.
He has co-authored over 100 articles published in international conference proceedings, book chapters, and journals.
