Associate Professor of Cyber Security — University of Stavanger
Building Trustworthy AI for Critical Infrastructure through secure machine learning, uncertainty quantification, and quantum-enhanced methods.
IEEE Senior Member • Chair, IEEE ComSoc Norway
My research focuses on designing secure, reliable, and privacy-preserving AI systems for next-generation communication networks and critical infrastructures.
I work at the intersection of:
- 🔐 AI Security & Adversarial Machine Learning
- 📊 Uncertainty Quantification & Trustworthy AI
- ⚛️ Quantum Machine Learning
- 📡 Secure 5G/6G Communication Systems
- 🔒 Privacy-Preserving ML & Federated Learning
A Python library enabling uncertainty estimation for Qiskit and PennyLane models.
Practical examples and implementations accompanying my book Trustworthy AI.
➡️ Repository
Research code and experiments on adversarial robustness and trustworthy learning for communication systems.
➡️ Repository
- Trust calibration and robustness for AI systems
- Uncertainty-aware quantum machine learning
- Secure federated learning with privacy guarantees
- AI security for wireless communication and edge systems
- 🧠 IEEE Senior Member
- 🌍 Chair, IEEE Communications Society Norway
- 📘 Author of Trustworthy AI
- 🏆 Included in Elsevier/Stanford Top Scientist List
- 🎓 Associate Professor, University of Stavanger
I’m open to collaborations on:
- Trustworthy & Secure AI
- Quantum ML & uncertainty quantification
- AI for critical infrastructure and communication systems
Feel free to connect or reach out via email: f.ozgur.catak@uis.no
Last updated: 2026