Carlo Cena

Dottorando in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 39o ciclo (2023-2026)
Dipartimento di Elettronica e Telecomunicazioni (DET)


Dottorato di ricerca

Argomento di ricerca

On board Artificial Intelligence for autonomous and resilient spacecraft.


Interessi di ricerca

Big Data, Machine Learning, Neural Networks and Data Science
Mechatronics and robotics
Systems, Automation and Control


He received a Master’s Degree in Artificial Intelligence in 2022, with the thesis “Machine Learning in Automatic Tabulation for Constraint Model Reformulation”, from the University of Bologna. Currently, he's a Ph.D. student in Electrical, Electronics and Communication Engineering at Politecnico di Torino, conducting his research activity in collaboration with Argotec S.R.L., where he has previously worked as a Machine Learning Engineer in the R&D unit. His research activity focuses on the development of artificial intelligence solutions to increase the autonomy and resilience of spacecraft.


Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris

  • Cena, C.; Akgun, O.; Kiziltan, Z.; Miguel, I.; Nightingale, P.; Ulrich-Oltean, F. (2023)
    Learning When to Use Automatic Tabulation in Constraint Model Reformulation. In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, Macao (CHN), 19-25 August 2023, pp. 1902-1910. ISSN 1045-0823. ISBN: 9781956792034
    Contributo in Atti di Convegno (Proceeding)