Andrea Bontempelli

Andrea Bontempelli is a Research Fellow at the University of Trento within the Knowdive research group. He completed his Ph.D. in Information and Communication Technologies at the University of Trento in 2024, supervised by Prof. Fausto Giunchiglia and Prof. Andrea Passerini. During his doctoral studies, he conducted a visiting Ph.D. at the IDIA Research Institute in Switzerland under the guidance of Prof. Daniel Gatica-Perez, head of the Social Computing Group.

Research Interests: Andrea specializes in interactive and incremental machine learning, with a focus on handling noisy data, knowledge drift, and context recognition from mobile sensor streams. His work bridges human-in-the-loop systems with real-world applications, emphasizing robust evaluation of machine learning models in both controlled and naturalistic environments.

Publication Trends: Andrea’s articles explore interactive alignment of prototypical networks, cross-cultural behavioral modeling, and lifelong context recognition. Key themes include data drift mitigation, model debugging, and real-time sensor data processing, reflecting his commitment to adaptive, user-centric machine learning solutions.

Affiliations:

• Knowdive group, University of Trento
• Social Computing Group, IDIAP Research Institute (visiting Ph.D.)