Giacomo Boracchi

Giacomo Boracchi is a researcher at the Polytechnic University of Milan, focusing on machine learning, computer vision, and signal processing. His work spans anomaly detection, change detection in data streams, 3D imaging, and biomedical applications.

• Key Collaborations: Diego Carrera, Luca Magri, Cesare Alippi
• Industries: Embedded systems, medical imaging, environmental monitoring

Recent research explores adaptive Kalman filtering for battery estimation, zero-shot anomaly detection, and explainable AI for vision-language models. Publications highlight applications in waste sorting, histological data generation, and cardiac monitoring.

His technical focus includes convolutional networks, ensemble learning, and domain adaptation. Boracchi's work bridges theoretical advancements with real-world systems in fraud detection, semiconductor manufacturing, and wearable health devices.