معرفی
Giuseppe Cascavilla is a Lecturer at the Jheronimus Academy of Data Science (JADS), specializing in Data Analytics and Data Governance. His roles include advancing research and education in cybersecurity and threat intelligence. He contributes to the UN Sustainable Development Goals through his work on combating cybercrime and online extremism.
Research Interests: Cascavilla focuses on cybersecurity challenges in the Dark Web, social network analysis of extremist communities, threat intelligence frameworks for law enforcement, and the application of machine learning to detect illicit content and phishing attacks. His work intersects criminal justice, data governance, and online behavior analysis, with a particular emphasis on using limited data for effective threat detection.
His recent articles (2024–2025) highlight trends in analyzing extremist discourse, cybercrime patterns, and toxic online communities. He employs innovative methods like inferential network models and Siamese neural networks to address these challenges. While no scientific awards are explicitly mentioned, his research has garnered significant attention, including over 70 downloads for his phishing detection study.
Advising & Grants: No formal advisees or grant details are listed in the provided text. His contributions include a dataset for few-shot learning in illicit content recognition, available on Zenodo.
Labs/Teams: Collaborates with interdisciplinary teams, including researchers from institutions like the University of Twente (noted in co-author affiliations) and contributes to JADS's research community through datasets and peer-reviewed outputs.
