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Martino Chiarani earned his Master’s Degree in Information and Communications Engineering from the University of Trento, Italy, in 2025. As part of his academic journey, he conducted a research internship at Iquadrat Informatica S.L. (IQU) in Barcelona, Spain, where he worked for his thesis on the design of a scalable, eXplainable AI (XAI)-driven client selection strategy for federated learning, applied to 6G network slicing and resource allocation scenarios. During the internship, he developed and evaluated AI algorithms for optimizing network performance, managing resources, and improving connectivity, focusing on federated learning frameworks and the integration of XAI techniques to ensure transparency in decision-making processes.

Martino is currently pursuing his PhD as a Marie Curie Doctoral Candidate at Iquadrat within the 6G-TERRAIN project (DC01/IQU-1). where he investigates native AI decision automation in telecommunication networks, aiming to support real-time, conflict-free adaptation of system intents. His work includes the development and validation of conflict resolution schemes using the IQU Beyond 5G (B5G) testbed, grounded in measurement-based and real-world experimentation. Through this research, Martino contributes to advancing self-adaptive and intelligent management solutions for future 6G network infrastructures.