I’m a doctoral researcher at Chalmers University of Technology, developing methods for uncertainty quantification, conformal prediction, and risk control for trustworthy autonomous networks.
Previously, I worked in AI research and data science at STMicroelectronics, AGap2/RINA, DataLobster, and Envision. I hold an MSc in Telecommunication Engineering from Politecnico di Milano.
Trustworthy Autonomous Networks · Uncertainty Quantification · Causal Inference · O-RAN · Conformal Prediction & Risk Control · Distribution Shift · Uncertainty Representation · Decision Theory · Explainable AI
Open to research collaborations and academic exchange.
- TRACE-CRC: Trajectory-Adaptive Conformal Risk Control for Multi-Step CSI Prediction — COPA 2026, PMLR · Code
- Policy-Driven Conformal Prediction for Trustworthy QoT Estimation — OFC 2026 · Code
- Generative Explainability for Next-Generation Networks — GenXNet, IEEE WiMob 2025
- IMU Self-Calibration with Quantization-Aware Neural Networks — Electronics 2024
- TRACE-CRC — Trajectory-aware uncertainty calibration and risk control for multi-step prediction.
- Conformal QoT — Calibrated prediction intervals for optical lightpath decisions.
- Optical Transponder Anomaly Detection — Fault detection using constellation diagrams.
- Explainable Chest X-Ray Classification — Comparative ML and deep learning with explainability.
- Vehicle Detection and Counting — Video analytics using YOLOv8 and ByteTrack.
- PhD in Electrical Engineering — Chalmers University of Technology, 2025–Present
- MSc in Telecommunication Engineering — Politecnico di Milano, 2024
- BSc in Computer Science — Kharazmi University, 2020
- Teaching Assistant and bachelor’s thesis supervisor at Chalmers
- IEEE Student Member
- Former researcher, PoliMi Data Science Association
- Executive Staff, CICIS 2019