Publications
This page summarizes all our work. We outline publications and release code of our algorithms and techniques.
Journal Papers
- G. Nunziati, C. Fiandrino, L. Foschini, P. Bellavista (June 2025) Monitoring 5G Core Networks Vulnerabilities with eBPF [PDF
] IEEE Networking Letters - P. Fernández Pérez, C. Fiandrino, E. Pérez Gómez, H. Mohammadalizadeh, M. Fiore, and J. Widmer (May 2024) AIChronoLens: AI/ML Explainability for Time Series Forecasting in Mobile Networks [PDF ] [Code
] IEEE Transactions on Mobile Computing - S. Moghadas Gholian, C. Fiandrino, N. Vallina-Rodriguez, M. Fiore, and J. Widmer (Jan 2025) DeExp: Revealing Model Vulnerabilities for Spatio-Temporal Mobile Traffic Forecasting with Explainable AI [PDF ] [Code ] IEEE Transactions on Mobile Computing
- C. Fiandrino, L. Bonati, S. D’Oro, M. Polese, T. Melodia, and J. Widmer (Dec. 2023) EXPLORA: AI/ML EXPLainability for the Open RAN [PDF] [Code
][Presentation ]Proceedings of ACM Networking, vol. 1 (CoNEXT3), 19:1-19:26 (15% acceptance rate) - C. Fiandrino, David Juarez Martinez-Villanueva, and J. Widmer (Sep. 2023) A study on 5G performance and fast conditional handover for public transit systems [PDF ] [Code ] Elsevier Computer Communications, vol. 209, pp. 499-511. DOI: https://doi.org/10.1016/j.comcom.2023.07.020
Conference Papers
- P. Fernández Pérez, I. Bravo, A. Kamath, C. Fiandrino, and J. Widmer (May 2025) ChronoProf: Profiling Time Series Forecasters and Classifiers in Mobile Networks with Explainable AI [PDF ] [Code ] IEEE WoWMoM
- A. Duttagupta, M. Jabbari, C. Fiandrino, M. Fiore, and J. Widmer (May 2025) SymbXRL: Symbolic Explainable Deep Reinforcement Learning for Mobile Networks [PDF ] [Code ] IEEE INFOCOM (Core A*)
- S. Moghadas Gholian, C. Fiandrino, and J. Widmer (May 2025) A Scalable DNN Training Framework for Traffic Forecasting in Mobile Networks [PDF ] [Code ] IEEE ICMLCN Best Student Paper Award
- A. K. Fezeu, C. Fiandrino, E. Ramadan, J. Carpenter, L. Coelho de Freitas, F. Bilal, W. Ye, J. Widmer, F. Qian and Z. Zhang (May 2024) Unveiling the 5G Mid-Band Landscape: From Network Deployment to Performance and Application QoE [PDF ] [Code ] ACM SIGCOMM (Core A*)
- C. Fiandrino, E. Pérez Gómez, P. Fernández Pérez, H. Mohammadalizadeh, M. Fiore, and J. Widmer (May 2024) AIChronoLens: Advancing Explainability for Time Series AI Forecasting in Mobile Networks [PDF ] [Code ][Presentation ] IEEE INFOCOM (Core A*) Best Paper Award
- A. K. Fezeu, C. Fiandrino, E. Ramadan, J. Carpenter, D. Chen, Y. Tan, F. Qian, J. Widmer, and Z. Zhang (May 2024) Roaming across the European Union in the 5G Era: Performance, Challenges, and Opportunities [PDF ] [Code ] IEEE INFOCOM (Core A*)
- A. Tanyi-Jong Akem, B. Butun, M. Gucciardo, and M. Fiore (May 2024) Jewel: Resource-Efficient Joint Packet and Flow Level Inference in Programmable Switches [PDF ] [Code ] IEEE INFOCOM (Core A*)
- S. Moghadas Gholian, C. Fiandrino, A. Collet, G. Attanasio, M. Fiore, and J. Widmer (May 2023) Spotting Deep Neural Network Vulnerabilities in Mobile Traffic Forecasting with an Explainable AI Lens [PDF ] [Code ] IEEE INFOCOM (Core A*)
Workshop Papers
- O. T. Basaran, D. Villa, P. Johari, M. Polese, C. Fiandrino, F. Dressler, T. Melodia (May 2025) Gen-TWIN: Generative-AI-Enabled Digital Twin for Open Radio Access Networks [PDF ] [Code ] DTwin@IEEE INFOCOM
- L. Bonati, R. Shirkhani, C. Fiandrino, S. Maxenti, S. D’Oro, M. Polese, and T. Melodia (Nov. 2024) Twinning Commercial Network Traces on Experimental Open RAN Platforms [PDF ] [Code/Dataset ] ACM WiNTECH (co-located with ACM MobiCom – Core A* conference)
- P. Fernández Pérez, C. Fiandrino, M. Fiore, and J. Widmer (May 2024) An In-Depth Analysis of Advanced Time Series Forecasting Models for the Open RAN [PDF ] [Code ] NG-OPERA@IEEE INFOCOM
- M. Gucciardo, B. Butun, A. Tanyi-Jong Akem, and M. Fiore (May 2024) Evaluating the Impact of Flow Length on the Performance of In-Switch Inference Solutions [PDF ] [Code ] CNERT@IEEE INFOCOM
- P. Fernández Pérez , C. Fiandrino, and J. Widmer (Oct. 2023) Characterizing and Modeling Mobile Networks User Traffic at Millisecond Level [PDF ] [Code/Dataset ][Presentation ] ACM WiNTECH (co-located with ACM MobiCom – Core A* conference) Best Paper Runner-Up Award
Poster, Demo Papers, and PhD Forum
- P. Fernández Pérez, I. Bravo, A. Kamath, C. Fiandrino, and J. Widmer (May 2025) Demo: Explaining Time Series Interactively with ChronoProf [PDF ] [Code ] IEEE WoWMoM
- P. Fernández Pérez (May 2025) Phd Forum: Explainable AI for Time Series Analysis in 5G/6G Operations [PDF ] IEEE WoWMoM
- A. Duttagupta, M. Jabbari, C. Fiandrino, M. Fiore, and J. Widmer (May 2025) Interactive Explanation and Steering of DRL Agents for Massive MIMO Scheduling with SymbXRL [PDF ] [Code ] IEEE INFOCOM (Core A*)
- P. Fernández Pérez, C. Fiandrino, M. Fiore, and J. Widmer (May 2024) Dissecting Advanced Time Series Forecasting Models with AIChronoLens [PDF ] [Code ] IEEE INFOCOM (Core A*)
Book Chapters
- C. Fiandrino, P. Fernández Pérez, M. Fiore, and J. Widmer (Apr. 2025) XAI for Network Management, in “Explainable AI for Communications and Networking“, Elsevier
Tutorials
- H. Chergui, C. Fiandrino, F. Rezazadeh (May. 2025) Explainable AI for Communications and Networking, in EUCNC & 6G Summit