PhD researcher in Autonomous Systems at the Telematics Lab (DEI), Politecnico di Bari, Italy, affiliated with CNIT.
I work on reliable sensing, localization and security for connected autonomous systems. My research combines Bluetooth 6.0/BLE localization with machine learning for anomaly and attack detection in IoT networks. More about my research, publications and CV is on my website.
- HGB-IoT-Attack-Detection: code for the IFIP WMNC 2025 paper on Histogram Gradient Boosting for attack detection in IoT networks (CICIoT2023)
- Bluetoothctl-MQTT-Device-Analytics: offline analysis of BLE scan data collected over MQTT (presence sessions, iBeacon identifiers, RSSI proximity and movement)
- Artificial-intelligence-and-Machine-Learning: KNN hyperparameter study for IoT intrusion detection on the TON_IoT dataset
Tools: Python, PyTorch, scikit-learn, XGBoost, LightGBM, pandas, Jupyter, MQTT, BlueZ, Linux, LaTeX