Simon Dahdal

According to our database, Simon Dahdal authored at least 16 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Smart and Sustainable Ice Cream Making Through Edge Machine Learning.

Filippo Tabanelli, Simon Dahdal, Nicolas Belletti, Elena Bellodi, Franck Ngatcha, Roberto Lazzarini, Cesare Stefanelli, Mauro Tortonesi

IEEE Trans. Ind. Informatics, April, 2026

Collective intelligence-based service migration enabling zoom-in functionality within industry 5.0.

Riccardo Venanzi, Lorenzo Colombi, Davide Tazzioli, Simon Dahdal, Mauro Tortonesi, Luca Foschini

Internet Things, 2026

2025

Multivariate Time Series Anomaly Detection in Industry 5.0.

Lorenzo Colombi, Michela Vespa, Nicolas Belletti, Matteo Brina, Simon Dahdal, Filippo Tabanelli, Elena Bellodi, Mauro Tortonesi, Cesare Stefanelli, Massimiliano Vignoli

CoRR, March, 2025

RoamML distributed continual learning: Adaptive and flexible data-driven response for disaster recovery operations.

Simon Dahdal, Sara Cavicchi, Alessandro Gilli, Filippo Poltronieri, Mauro Tortonesi, Niranjan Suri, Cesare Stefanelli

J. Netw. Comput. Appl., 2025

FedEdge-Learn: a Semi-Supervised Federated Learning Framework for Industry 5.0.

Lorenzo Colombi, Edoardo Di Caro, Simon Dahdal, Filippo Poltronieri, Filippo Tabanelli, Mauro Tortonesi, Cesare Stefanelli, Massimiliano Vignoli

Proceedings of the IEEE Symposium on Computers and Communications, 2025

Multi-Cluster MLOps Platform for Industry 5.0.

Lorenzo Colombi, Ion Boleac, Matteo Brina, Simon Dahdal, Mauro Tortonesi, Massimiliano Vignoli, Cesare Stefanelli

Proceedings of the IEEE Symposium on Computers and Communications, 2025

Semantic Information Management Systems.

Roberto Fronteddu, Umberto Ardinghi, Lorenzo Colombi, Simon Dahdal, Alessandro Morelli, Mauro Tortonesi, Cesare Stefanelli, Niranjan Suri

Proceedings of the International Conference on Military Communication and Information Systems, 2025

Exploring Explainable and Causal AI for Feature Selection in Industry 5.0.

Lorenzo Colombi, Nicolas Belletti, Lucia Ferrari, Filippo Tabanelli, Simon Dahdal, Franck Ngatcha, Riccardo Venanzi, Mauro Tortonesi, Cesare Stefanelli

Proceedings of the 30th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2025

2024

Enabling Big Data and Machine Learning Applications in High-Stakes Environments.

Simon Dahdal, Mauro Tortonesi

Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

A Machine Learning Operations Platform for Streamlined Model Serving in Industry 5.0.

Lorenzo Colombi, Alessandro Gilli, Simon Dahdal, Ion Boleac, Mauro Tortonesi, Cesare Stefanelli, Massimiliano Vignoli

Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

Efficient Data Dissemination via Semantic Filtering at the Tactical Edge.

Lorenzo Colombi, Simon Dahdal, Edoardo Di Caro, Roberto Fronteddu, Alessandro Gilli, Alessandro Morelli, Filippo Poltronieri, Mauro Tortonesi, Niranjan Suri, Cesare Stefanelli

Proceedings of the IEEE Military Communications Conference, 2024

RoamML Platform: Enabling Distributed Continual Learning for Disaster Relief Operations.

Simon Dahdal, Alessandro Gilli, Filippo Poltronieri, Mauro Tortonesi, Cesare Stefanelli, Niranjan Suri

Proceedings of the IEEE Symposium on Computers and Communications, 2024

Optimizing Industry 5.0 Machine Learning-Based Applications via Synthetic Data Generation.

Lorenzo Colombi, Matteo Brina, Michela Vespa, Filippo Tabanelli, Simon Dahdal, Elena Bellodi, Riccardo Venanzi, Mauro Tortonesi, Massimiliano Vignoli, Cesare Stefanelli

Proceedings of the 29th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2024

2023

Enabling adaptive analytics at the edge with the Bi-Rex Big Data platform.

Riccardo Venanzi, Simon Dahdal, Michele Solimando, Lorenzo Campioni, Alberto Cavalucci, Marco Govoni, Mauro Tortonesi, Luca Foschini, Loredana Attana, Matteo Tellarini, Cesare Stefanelli

Comput. Ind., May, 2023

RoamML: Distributed Machine Learning at the Tactical Edge.

Simon Dahdal, Filippo Poltronieri, Alessandro Gilli, Mauro Tortonesi, Roberto Fronteddu, Raffaele Galliera, Niranjan Suri

Proceedings of the IEEE Military Communications Conference, 2023

A Data Mesh Approach for Enabling Data-Centric Applications at the Tactical Edge.

Simon Dahdal, Filippo Poltronieri, Mauro Tortonesi, Cesare Stefanelli, Niranjan Suri

Proceedings of the International Conference on Military Communications and Information Systems, 2023