I’m a first year Ph.D. student at Chalmers University of Technology, working at the intersection of Trustworthy AI, Explainable Machine Learning, and Communication Systems. My research focuses on developing robust, interpretable models for intelligent network management, with an emphasis on real‑world reliability and generalization.
Current focus. My current research examines uncertainty quantification as a core pillar of trustworthy autonomous networks, focusing on how systems recognise and manage uncertainty under distribution shift and how these estimates support interpretable and auditable decision processes in operational 5G/6G environments.
Background. Previously, As an AI Researcher, I worked on Edge AI at STMicroelectronics, designing quantization‑aware, memory‑efficient neural networks implemented on Intelligent Sensor Processing Units (ISPU). I hold an M.Sc. in Telecommunication Engineering (specialization in signals & data analysis) from Politecnico di Milano.
- Cardoni, M., Pau, D. P., Rezaei, K., & Mura, C. (2024). Inertial Measurement Unit Self-Calibration by Quantization-Aware and Memory-Parsimonious Neural Networks. Electronics, 13(21). https://doi.org/10.3390/electronics13214278
- Rezaei, K., Omran, A., Monti, P., & Natalino, C. (2026). Policy-driven Conformal Prediction for Trustworthy QoT Estimation. 2026 Optical Fiber Communication Conference (OFC). https://research.chalmers.se/publication/549958/file/549958_Fulltext.pdf
- Rezaei, K., Omran, A., Troia, S., Lelli, F., Monti, P., & Natalino, C. (2025). Generative Explainability for Next-Generation Networks: Llm-Augmented Xai with Mutual Feature Interactions. 2025 21th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 1–6. https://doi.org/10.1109/WiMob66857.2025.11257542
- Cardoni, M., Pau, D. P., & Rezaei, K. (2024). IMU User Transparent Tiny Neural Self-Calibration. 2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI), 619–624. https://doi.org/10.1109/RTSI61910.2024.10761916
- Rezaei, K., & Zamani, S. (2019). An Introduction to Convolutional Neural Networks and Applications. 2019 4th National Conference on Contemporary Issues in Computer and Information Sciences (CICIS), 561–569.
- Rezaei, K. (2023). Continuous IMU-MEMS Self-Calibration Process by Means of Tiny Neural Networks [Master’s thesis, Politecnico di Milano]. https://hdl.handle.net/10589/221852
Kiarash Rezaei
Ph.D. Student
Chalmers University of Technology
Communication, Antennas & Optical Networks
kiarashr@chalmers.se
Gothenburg, Sweden