Giuseppe Cascavilla

Prof. dr. Giuseppe Cascavilla

Assistant Professor
  • Research profile: Cybersecurity and Data Forensics
  • Research expertise: cybersecurity, data forensics, NLP, cyber threat intelligence, Open Source INTelligence, emotion detection, cybercrime, crime and safety, protection of public spaces, IoT, malware analysis, phishing, trend analysis.

Biography

Giuseppe Cascavilla is an Assistant Professor researcher at the Eindhoven University of Technology, Jheronimus Academy of Data Science, in s’Hertogenbosch, The Netherlands. Giuseppe completed his Ph.D. in Sapienza – at the University of Rome with a thesis, “Privacy Issues in Online Social Networks”. At JADS, he lectures the Data Forensics and Cybersecurity courses. The former aims to explore the hidden side of the web and find approaches to fight cybercrime. At the same time, the latter is meant to understand and practice attacks and defense techniques to contain criminal activities like malware, phishing, and man-in-the-middle attacks. His research interests lie mainly in monitoring cybercriminal activities surface-deep-dark web, cyber threat intelligence, protection of cyber-physical spaces, Natural Language Processing in the context of cybersecurity, user profiling from social media activities, and reidentifying personal emotions. Giuseppe has been an active contributor and researcher in many EU FP7 and H2020 projects, such as the ANITA project focusing on evolutionary and collaborative software technology for digital and cybercrime- fighting, PRoTECT to strengthen local authorities’ capabilities in Public Protection, VISOR project for smart event safety, CRIMSON for the protection of Rotterdam Harbor, Marit-D, and more.

Relevant academic links

Research Projects

JADS also participates in several (international) projects, which contribute to grand societal challenges like health, food security, smart transport and secure societies. Together with companies, government, NGO’s and other knowledge institutions, JADS works on solutions by using data.

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