Koen Teuwen

Koen Teuwen is a researcher at the Security research group (SEC) within the Department of Mathematics and Computer Science at Eindhoven University of Technology. His work focuses on automation, intrusion detection systems (IDS), and incident response, combining cybersecurity and machine learning to enhance digital resilience through practical solutions.

• Education: BSc and MSc in Computer Science & Engineering from TU/e, with courses at Radboud University
• Key Research Areas: Network security, explainable AI for security, data imbalance in threat analysis, and stakeholder-driven IDS optimization
• Projects: Active member of the 2021–2027 CATRIN project on responsible internet security

Email: k.t.w.teuwen@tue.nl

Research Trends: Recent publications show a focus on modular threat attribution frameworks, explainable alert classification, and practical IDS rule design for security operations centers. His work emphasizes the interplay between technical rigor and real-world applicability, particularly in botnet incident analysis and cyber threat intelligence generation.

Advising: Coached S. Baggen’s 2024 MSc thesis on DeepCASE explainability. Collaborates with researchers like L. Allodi and E. Zambon.