- \n
- G. Nunziati, C. Fiandrino, L. Foschini, P. Bellavista (June 2025) <\/strong><\/strong>Monitoring 5G Core Networks Vulnerabilities with eBPF<\/a> [PDF<\/a>
![\"Download](\"https:\/\/cfiandrino.files.wordpress.com\/2017\/07\/pdf-icon3.png\" "\\"Performance")
] IEEE Networking Letters<\/li>\n- P. Fern\u00e1ndez P\u00e9rez, C. Fiandrino, E. P\u00e9rez G\u00f3mez, H. Mohammadalizadeh, M. Fiore, and J. Widmer (May 2024) <\/strong><\/strong>AIChronoLens: AI\/ML Explainability for Time Series Forecasting in Mobile Networks<\/a> [PDF<\/a>
] [Code <\/a>![\"\"](\"https:\/\/brain.networks.imdea.org\/wp-content\/uploads\/sites\/23\/2023\/05\/gitlab.png\")
] IEEE Transactions on Mobile Computing<\/li>\n- S. Moghadas Gholian, C. Fiandrino, N. Vallina-Rodriguez, M. Fiore, and J. Widmer (Jan 2025) <\/strong>DeExp: Revealing Model Vulnerabilities for Spatio-Temporal Mobile Traffic Forecasting with Explainable AI<\/a> [PDF<\/a>
] [Code<\/a> ] IEEE Transactions on Mobile Computing<\/li>\n- C. Fiandrino, L. Bonati, S. D’Oro, M. Polese, T. Melodia, and J. Widmer (Dec. 2023)<\/strong>\u00a0EXPLORA<\/em>: AI\/ML EXPL<\/em>ainability for the Open RA<\/em>N<\/a> [PDF<\/a>
] [Code<\/a> ![\"\"](\"https:\/\/brain.networks.imdea.org\/wp-content\/uploads\/sites\/23\/2023\/11\/artifacts_evaluated_reusable_dl.jpg\")
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][Presentation<\/a> ]Proceedings of ACM Networking, vol.\u00a01 (CoNEXT3),\u00a019:1-19:26<\/a> (15% acceptance rate)<\/li>\n- C. Fiandrino, David Juarez Martinez-Villanueva, and J. Widmer (Sep. 2023) <\/strong>A study on 5G performance and fast conditional handover for public transit systems<\/a> [PDF<\/a>
] [Code<\/a> ] Elsevier Computer Communications, vol. 209, pp. 499-511. DOI: https:\/\/doi.org\/10.1016\/j.comcom.2023.07.020<\/a><\/li>\n<\/ul>\nConference Papers<\/h3>\n
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- M. Jabbari, A. Duttagupta, C. Fiandrino, L. Bonati, S. D’Oro, Michele Polese, M. Fiore, and T. Melodia (May 2026) <\/strong><\/strong><\/strong>SIA: Symbolic Interpretability for Anticipatory Deep Reinforcement Learning in Network Control [PDF<\/a> ] [Code <\/a>] IEEE INFOCOM<\/a> (Core A*)<\/li>\n
- P. Fern\u00e1ndez P\u00e9rez, I. Bravo, A. Kamath, C. Fiandrino, and J. Widmer (May 2025) <\/strong>ChronoProf: Profiling Time Series Forecasters and Classifiers in Mobile Networks with Explainable AI<\/a> [PDF<\/a>
] [Code <\/a>]\u00a0IEEE WoWMoM<\/a><\/li>\n- A. Duttagupta, M. Jabbari, C. Fiandrino, M. Fiore, and J. Widmer (May 2025) <\/strong><\/strong>SymbXRL: Symbolic Explainable Deep Reinforcement Learning for Mobile Networks<\/a> [PDF<\/a>
] [Code <\/a>] IEEE INFOCOM<\/a> (Core A*)<\/li>\n- S. Moghadas Gholian, C. Fiandrino, and J. Widmer (May 2025) <\/strong>A Scalable DNN Training Framework for Traffic Forecasting in Mobile Networks<\/a> [PDF<\/a>
] [Code<\/a> ] IEEE ICMLCN<\/a> Best Student Paper Award<\/strong><\/em><\/li>\n- A. K. Fezeu, C. Fiandrino,\u00a0 E. Ramadan, J. Carpenter, L. Coelho de Freitas, F. Bilal, W. Ye,\u00a0 J. Widmer, F. Qian and Z. Zhang (May 2024) <\/strong><\/strong>Unveiling the 5G Mid-Band Landscape: From Network Deployment to Performance and Application QoE<\/a> [PDF<\/a>
] [Code<\/a> ] ACM SIGCOMM<\/a> (Core A*)<\/li>\n- C. Fiandrino, E. P\u00e9rez G\u00f3mez, P. Fern\u00e1ndez P\u00e9rez, H. Mohammadalizadeh, M. Fiore, and J. Widmer (May 2024) <\/strong><\/strong>AIChronoLens: Advancing Explainability for Time Series AI Forecasting in Mobile Networks<\/a> [PDF<\/a>
] [Code <\/a>][Presentation<\/a> ] IEEE INFOCOM<\/a> (Core A*) Best Paper Award<\/strong><\/em><\/li>\n- A. K. Fezeu, C. Fiandrino,\u00a0 E. Ramadan, J. Carpenter, D. Chen, Y. Tan, F. Qian,\u00a0 J. Widmer, and Z. Zhang (May 2024) <\/strong>Roaming across the European Union in the 5G Era: Performance, Challenges, and Opportunities<\/a> [PDF<\/a>
] [Code<\/a> ] IEEE INFOCOM<\/a> (Core A*)<\/li>\n- A. Tanyi-Jong Akem, B. Butun, M. Gucciardo, and M. Fiore (May 2024) <\/strong>Jewel: Resource-Efficient Joint Packet and Flow Level Inference in Programmable Switches<\/a> [PDF<\/a>
] [Code ]\u00a0IEEE INFOCOM<\/a> (Core A*)<\/li>\n- S. Moghadas Gholian, C. Fiandrino, A. Collet, G. Attanasio, M. Fiore, and J. Widmer (May 2023) <\/strong>Spotting Deep Neural Network Vulnerabilities in Mobile Traffic Forecasting with an Explainable AI Lens<\/a> [PDF<\/a>
] [Code<\/a> ] IEEE INFOCOM<\/a> (Core A*)<\/li>\n<\/ul>\nWorkshop Papers<\/h3>\n
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- O. T. Basaran, D. Villa, P. Johari, M. Polese, C. Fiandrino, F. Dressler, T. Melodia (May 2025) <\/strong>Gen-TWIN: Generative-AI-Enabled Digital Twin for Open Radio Access Networks<\/a> [PDF<\/a> ] [Code ] DTwin@IEEE INFOCOM<\/a><\/li>\n
- L. Bonati, R. Shirkhani, C. Fiandrino, S. Maxenti, S. D’Oro, M. Polese, and T. Melodia (Nov. 2024) <\/strong>Twinning Commercial Network Traces on Experimental Open RAN Platforms<\/a> [PDF<\/a>
] [Code\/Dataset<\/a> ] ACM WiNTECH<\/a> (co-located with ACM MobiCom – Core A* conference)<\/li>\n- P. Fern\u00e1ndez P\u00e9rez, C. Fiandrino, M. Fiore, and J. Widmer (May 2024)\u00a0<\/strong>An In-Depth Analysis of Advanced Time Series Forecasting Models for the Open RAN<\/a> [PDF<\/a>
] [Code <\/a>] NG-OPERA@IEEE INFOCOM<\/a><\/li>\n- M. Gucciardo, B. Butun, A. Tanyi-Jong Akem, and M. Fiore (May 2024) <\/strong>Evaluating the Impact of Flow Length on the Performance of In-Switch Inference Solutions<\/a>\u00a0[PDF<\/a>
] [Code ] CNERT@IEEE INFOCOM<\/a><\/li>\n- P. Fern\u00e1ndez P\u00e9rez , C. Fiandrino, and J. Widmer (Oct. 2023) <\/strong>Characterizing and Modeling Mobile Networks User Traffic at Millisecond Level<\/a> [PDF<\/a>
] [Code\/Dataset<\/a> ][Presentation <\/a>] ACM WiNTECH<\/a> (co-located with ACM MobiCom – Core A* conference) Best Paper Runner-Up Award<\/strong><\/em><\/li>\n<\/ul>\nPoster, Demo Papers, and PhD Forum<\/h3>\n
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- M. Jabbari, A. Duttagupta, C. Fiandrino, L. Bonati, S. D’Oro, Michele Polese, M. Fiore, and T. Melodia (May 2026) <\/strong><\/strong><\/strong>Poster: Interpreting Anticipatory Deep Reinforcement Learning for Proactive Mobile Network Control [PDF ] [Code <\/a>] IEEE INFOCOM (Core A*)<\/li>\n
- P. Fern\u00e1ndez P\u00e9rez, I. Bravo, A. Kamath, C. Fiandrino, and J. Widmer (May 2025) <\/strong><\/strong>Demo: Explaining Time Series Interactively with ChronoProf<\/a> [PDF<\/a>
] [Code <\/a>]\u00a0IEEE WoWMoM<\/a><\/li>\n- P. Fern\u00e1ndez P\u00e9rez (May 2025) <\/strong>Phd Forum: Explainable AI for Time Series Analysis in 5G\/6G Operations [PDF<\/a>
] IEEE WoWMoM<\/a><\/li>\n- A. Duttagupta, M. Jabbari, C. Fiandrino, M. Fiore, and J. Widmer (May 2025) <\/strong><\/strong>Interactive Explanation and Steering of DRL Agents for Massive MIMO Scheduling with SymbXRL<\/a> [PDF<\/a>
] [Code <\/a>] IEEE INFOCOM<\/a> (Core A*)<\/li>\n- P. Fern\u00e1ndez P\u00e9rez, C. Fiandrino, M. Fiore, and J. Widmer (May 2024)\u00a0<\/strong>Dissecting Advanced Time Series Forecasting Models with AIChronoLens<\/a> [PDF<\/a>
] [Code <\/a>] IEEE INFOCOM<\/a> (Core A*)<\/li>\n<\/ul>\nBook Chapters<\/h3>\n
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- C. Fiandrino, P. Fern\u00e1ndez P\u00e9rez, M. Fiore, and J. Widmer (Apr. 2025) <\/strong><\/strong>XAI for Network Management, in \u00abExplainable AI for Communications and Networking<\/a>\u00ab, Elsevier<\/li>\n<\/ul>\n
Tutorials<\/h3>\n
- P. Fern\u00e1ndez P\u00e9rez, I. Bravo, A. Kamath, C. Fiandrino, and J. Widmer (May 2025) <\/strong><\/strong>Demo: Explaining Time Series Interactively with ChronoProf<\/a> [PDF<\/a>
- L. Bonati, R. Shirkhani, C. Fiandrino, S. Maxenti, S. D’Oro, M. Polese, and T. Melodia (Nov. 2024) <\/strong>Twinning Commercial Network Traces on Experimental Open RAN Platforms<\/a> [PDF<\/a>
- P. Fern\u00e1ndez P\u00e9rez, I. Bravo, A. Kamath, C. Fiandrino, and J. Widmer (May 2025) <\/strong>ChronoProf: Profiling Time Series Forecasters and Classifiers in Mobile Networks with Explainable AI<\/a> [PDF<\/a>
- P. Fern\u00e1ndez P\u00e9rez, C. Fiandrino, E. P\u00e9rez G\u00f3mez, H. Mohammadalizadeh, M. Fiore, and J. Widmer (May 2024) <\/strong><\/strong>AIChronoLens: AI\/ML Explainability for Time Series Forecasting in Mobile Networks<\/a> [PDF<\/a>