معرفی
J. van den Berg is a Professor in the Faculty of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology, specializing in Cyber Security. He has authored over 100 research outputs and supervised multiple students, contributing significantly to cybersecurity science, education, and policy. His work spans technical and human aspects of cyber defense.
Research interests:
- Cybersecurity and cyber operations
- Machine learning for intrusion and phishing detection
- Risk modeling and mental models in security
- Digital trust and access control
- Cybersecurity education and ethics
His recent publications (2020–2025) focus on AI-driven detection of phishing, tax fraud, and online manipulation, using machine learning and data reduction techniques. These works appear in top venues like Springer LNCS and the Journal of Network and Computer Applications, highlighting trends in behavioral AI, anomaly detection, and lightweight security algorithms.
Scientific Awards:
- BEST PAPER AWARD, NATO IST-122 Cyber Security Science and Engineering Symposium (2015)
He has advised several researchers in cybersecurity and machine learning, and his collaborative projects include international supply chain security and cyber crisis management. He is involved in developing frameworks for cyber operations, risk evaluation, and secure data pipelines.
His work is associated with labs and teams focused on cyber operations, secure logistics, and intelligent data analysis, contributing to both theoretical and applied advancements in cybersecurity.
