Hussein Fawaz
PhD Student Trustworthy AI for Cybersecurity
About
Hi, I'm Hussein 👋 — a Ph.D. student in Informatics at Università della Svizzera italiana (USI) and the University of Applied Sciences and Arts of Southern Switzerland (SUPSI) in Lugano, Switzerland. I am part of the Institute of Information Systems and Networking (ISIN) at SUPSI.
I am supervised by Prof. Marc Langheinrich (USI), Prof. Silvia Giordano (SUPSI), and Dr. Omran Ayoub (SUPSI).
Before starting my Ph.D., I earned my M.Sc. in Information Systems and Data Intelligence as well as a B.Sc. in Computer Science from the Lebanese University. Alongside research, I have several years of experience as a software engineer, building secure and scalable full-stack systems.
Research Interests: Trustworthy AI, Explainable AI, Continual Learning, Network Intrusion Detection, Uncertainty Quantification.
Latest News
Journal Paper Accepted (IEEE TNSM)
Journal Paper Accepted (IEEE TNSM)
📄 H. Fawaz, J. Talpini, M. Savi, S. Giordano, O. Ayoub — "Detecting Zero-Day Attacks via Reconstruction of Feature Influence and Model Uncertainty". IEEE Transactions on Network and Service Management (TNSM), 2026.
Doctoral Consortium Paper Accepted (IFIP Networking 2026)
Doctoral Consortium Paper Accepted (IFIP Networking 2026)
📄 H. Fawaz, O. Ayoub, S. Giordano — "A Unified Framework for Trustworthy Machine Learning for Intrusion Detection Systems". IFIP Networking 2026 (Doctoral Consortium), Lugano, Switzerland.
Paper Accepted (WONS 2026)
Paper Accepted (WONS 2026)
📄 H. Fawaz, O. Ayoub, D. Andreoletti, S. Giordano — "Energy Cost of Enhancing Reliability of Machine Learning Models for Edge IoT Security". IEEE WONS 2026.
Web Chair
Web Chair
🧩 Web Chair for IFIP Networking 2026 (NETWORKING 2026) and TX4Nets 2025 (2nd International Workshop on Trustworthy and eXplainable AI for Networks).
Paper Accepted (WiMob 2025)
Paper Accepted (WiMob 2025)
📄 H. Fawaz, F. Ezzeddine, S. Giordano, O. Ayoub — "Towards Better-Calibrated ML Models for Reliable Network Intrusion Detection via Calibration-Aware SHAP-Based Feature Selection". IEEE WiMob 2025, Marrakesh, Morocco.
Publications
Journal Articles
- [1]
Detecting Zero-Day Attacks via Reconstruction of Feature Influence and Model Uncertainty
Hussein Fawaz, Jacopo Talpini, Marco Savi, Silvia Giordano, Omran Ayoub
IEEE Transactions on Network and Service Management (TNSM), 2026
Conference Papers
- [2]
A Unified Framework for Trustworthy Machine Learning for Intrusion Detection Systems
Hussein Fawaz, Omran Ayoub, Silvia Giordano
IFIP Networking Conference (IFIP Networking), Doctoral Consortium, 2026
- [3]
Energy Cost of Enhancing Reliability of Machine Learning Models for Edge IoT Security
Hussein Fawaz, Omran Ayoub, Davide Andreoletti, Silvia Giordano
Wireless On-demand Network Systems and Services Conference (WONS), 2026
- [4]
Towards Better-Calibrated ML Models for Reliable Network Intrusion Detection via Calibration-Aware SHAP-Based Feature Selection
Hussein Fawaz, Fatima Ezzeddine, Silvia Giordano, Omran Ayoub
IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2025
- [5]
Reducing Complexity and Enhancing Predictive Power of ML-based Lightpath Quality of Transmission Estimation via SHAP-Assisted Feature Selection
Hussein Fawaz, Farhad Arpanaei, Davide Andreoletti, Ihab Sbeity, José A. Hernández, David Larrabeiti, Omran Ayoub
International Conference on Optical Network Design and Modeling (ONDM), 2024