Model Predictive Control of Energy Storage Systems for Power Regulation in Electricity Distribution Networks. - Alessandro Giuseppi; Emanuele De Santis; Alessandro Di Giorgio 001 (SMC, 2019)

Hardware-Assisted Incremental Checkpointing in Speculative Parallel Discrete Event Simulation. - Stefano Carnà; Serena Ferracci; Emanuele De Santis; Alessandro Pellegrini 001; Francesco Quaglia (WSC, 2019)

Design and Simulation of the Multi-RAT Load-balancing Algorithms for 5G-ALLSTAR Systems. - Alessandro Giuseppi; Syed Maaz Shahid; Emanuele De Santis; Seok Ho Won; Sungoh Kwon; Taesang Choi (ICTC, 2020)

Network Selection in 5G Networks Based on Markov Games and Friend-or-Foe Reinforcement Learning. - Alessandro Giuseppi; Emanuele De Santis; Francesco Delli Priscoli; Seok Ho Won; Taesang Choi; Antonio Pietrabissa (WCNC Workshops, 2020)

Operations Management of Satellite Launch Centers. - Andrea Tortorelli; Alessandro Giuseppi; Federico Lisi; Emanuele De Santis; Francesco Liberati (CoRR, 2020)

6G in the Sky: On-Demand Intelligence at the Edge of 3D Networks. - Emilio Calvanese Strinati; Sergio Barbarossa; Taesang Choi; Antonio Pietrabissa; Alessandro Giuseppi; Emanuele De Santis; Josep Vidal; Zdenek Becvar; Thomas Haustein; Nicolas Cassiau; Francesca Costanzo; Junhyeong Kim; et al. (CoRR, 2020)

Optimal Control of an Energy Storage System and Plug-in Electric Vehicles Fast Charging in a Grid-connected Service Area. - Francesco Liberati; Roberto Germanà; Emanuele De Santis; Alessandro Di Giorgio 001 (MED, 2021)

Capacity-constrained Wardrop equilibria and application to multi-connectivity in 5G networks. - Francesco Delli Priscoli; Emanuele De Santis; Alessandro Giuseppi; Antonio Pietrabissa (J. Frankl. Inst., 2021)

5G-ALLSTAR: Beyond 5G Satellite-Terrestrial Multi-Connectivity. - Nicolas Cassiau; Ilgyu Kim; Emilio Calvanese Strinati; Gosan Noh; Antonio Pietrabissa; Fabrice Arnal; Guido Casati; Taesang Choi; You-Jun Choi; Heesang Chung; Sylvain Colombero; Pierre Dal Zotto; et al. (EuCNC, 2022)

Optimal Control of a Grid-connected Service Area for Plug-in Electric Vehicles Fast Charging under uncertain Power Demand. - Emanuele De Santis; Francesco Liberati; Alessandro Di Giorgio 001 (MED, 2022)

Satellite Integration into 5G: Deep Reinforcement Learning for Network Selection. - Emanuele De Santis; Alessandro Giuseppi; Antonio Pietrabissa; Michael Capponi; Francesco Delli Priscoli (Int. J. Autom. Comput., 2022)

An Intelligent Ground Station Selection Algorithm in Satellite Optical Communications via Deep Learning. - Andrea Wrona; Emanuele De Santis; Francesco Delli Priscoli; Francesco Giacinto Lavacca (MED, 2023)

AdaLightLog: Enhancing Application Logs Anomaly Detection via Adaptive Federating Learning. - Danilo Menegatti; Emanuele De Santis; Stefano Felli; Alessandro Giuseppi (CRITIS, 2024)

A Cooperative Feature Removal Mechanism for Cell Outage Detection in Wireless Telecommunication Networks. - Andrea Wrona; Simone Gentile; Emanuele De Santis; Alessandro Giuseppi; Antonio Pietrabissa; Francesco Delli Priscoli (CRITIS, 2024)

Fully-Decentralized Consensus-Based Federated Learning for Cell Outage Detection in Cellular Networks. - Andrea Wrona; Simone Gentile; Emanuele De Santis (EuCNC/6G Summit, 2025)

A Smart Beehive Energy Management System for Supporting Automatic Varroa Detection*. - Emanuele De Santis; Mohab M. H. Atanasious; Francesco Liberati; Alessandro Di Giorgio 001 (MED, 2025)

Critical Clearing Time Computation in Power System Transient Stability Analysis: a Physics-Informed Neural Network approach. - Emanuele De Santis; Mohab M. H. Atanasious; Francesco Liberati; Alessandro Di Giorgio 001 (MED, 2025)