Enrico Mariconti

Enrico Mariconti is a Lecturer in the Department of Security and Crime Science at University College London (UCL). His research bridges computer science, statistics, and criminology to develop AI-driven tools for combating cybercrime, including malware detection, social engineering scams, and online harassment. He also explores applications of computational methods in forensic anthropology and cryptocurrency security.

• Current Appointment: Lecturer in Security & Crime Science, UCL
• Email: e.mariconti@ucl.ac.uk
• ORCID: 0000-0003-3005-8214

Mariconti’s research focuses on interdisciplinary cybersecurity, with specializations in AI-based fraud detection, social media privacy frameworks, and anomaly detection in autonomous vehicle systems. His recent work also addresses illicit drug marketing on digital platforms, forensic age estimation via auricular surface analysis, and the ethical challenges of deploying machine learning in sensitive security contexts.

His publications span high-impact venues like IEEE Transactions on Intelligent Transportation Systems, Springer’s Crime Science, and ACM CCS. Key themes include federated security prediction, cryptocurrency scams, and behavioral modeling of malicious actors. He teaches Python programming to undergraduates and cybersecurity fundamentals at the postgraduate level.