معرفی
Stefano Tedeschi is a Researcher (RTD-A) in Computer Science at the Department of Economic and Political Sciences, University of Valle d'Aosta. He earned his PhD in Computer Science from the University of Torino in 2021, specializing in robust multi-agent systems with a focus on exception handling mechanisms built upon responsibility concepts.
- PhD in Computer Science (2021), University of Torino
- M.Sc. in Computer Science (2017), University of Torino - 110/110 cum laude
- Advanced Training Course, Scuola di Studi Superiori "Ferdinando Rossi" (2017), University of Torino
- Erasmus+ Program at University of Helsinki (2015)
- B.Sc. in Computer Science (2015), University of Torino - 110/110 cum laude
Dr. Tedeschi's research centers on the intersection of Artificial Intelligence, Multi-Agent Systems, and ethical considerations. He has pioneered approaches that implement social concepts like accountability and responsibility into agent systems to enhance their robustness in distributed environments. His work bridges theoretical computer science with practical applications in business process management and Industry 4.0 contexts, where reliable AI systems are increasingly critical for industrial applications.
His publication record shows a clear progression from foundational theoretical work to practical implementations across multiple agent platforms, with growing emphasis on ethical dimensions of AI systems. His research demonstrates how accountability mechanisms can transform multi-agent systems from merely functional to trustworthy and socially aware.
- ETIC 2019 Award for Doctoral and M.Sc. theses on Ethics and ICT
- Best Paper Award at EMAS 2019
- Silver Medal of University of Turin for best M.Sc. thesis
- Honourable Mention at AI*IA 2018 Doctoral Consortium
- Best Artificial Intelligence Master's Thesis Award in memory of Leonardo Lesmo
Dr. Tedeschi has secured research funding through competitive grants including the "Artificial Intelligence Techniques for Industry 4.0" project (2021-2022) funded by Fondazione CRT and Fondazione Giovanni Goria. He has mentored students as Teaching Assistant for Programming courses at the University of Torino and co-advised bachelor's theses on multi-agent system implementations. His service to the academic community includes roles as Web Chair for major conferences and reviewer for prominent AI journals.
His work represents a significant contribution to the field of trustworthy AI, developing frameworks where technical implementations incorporate social and ethical considerations as core design principles rather than afterthoughts.
