TeNOR: Steps towards an orchestration platform for multi-PoP NFV deployment. - Jordi Ferrer Riera; Josep Batalle; José Bonnet; Miguel Dias; Michael J. McGrath; Giuseppe Petralia; Francesco Liberati; Alessandro Giuseppi; Antonio Pietrabissa; Alberto Ceselli; Alessandro Petrini; Marco Trubian; et al. (NetSoft, 2016)

On the optimization of energy storage system placement for protecting power transmission grids against dynamic load altering attacks. - Alessandro Di Giorgio 001; Alessandro Giuseppi; Francesco Liberati; Antonio Ornatelli; Antonio Rabezzano; Lorenzo Ricciardi Celsi (MED, 2017)

Controlled electricity distribution network black start with energy storage system support. - Alessandro Di Giorgio 001; Alessandro Giuseppi; Francesco Liberati; Antonio Pietrabissa (MED, 2017)

A distributed wardrop control algorithm for load balancing in smart grids. - Vincenzo Suraci; Lorenzo Ricciardi Celsi; Alessandro Giuseppi; Alessandro Di Giorgio 001 (MED, 2017)

An approximate dynamic programming approach to resource management in multi-cloud scenarios. - Antonio Pietrabissa; Francesco Delli Priscoli; Alessandro Di Giorgio 001; Alessandro Giuseppi; Martina Panfili; Vincenzo Suraci (Int. J. Control, 2017)

Stochastic and exact methods for service mapping in virtualized network infrastructures. - Francesco Liberati; Alessandro Giuseppi; Antonio Pietrabissa; Vincenzo Suraci; Alessandro Di Giorgio 001; Marco Trubian; David Dietrich; Panagiotis Papadimitriou 001; Francesco Delli Priscoli (Int. J. Netw. Manag., 2017)

Nearly Zero Energy Building Model Predictive Control for efficient heating. - Luigi Martirano; Emanuele Habib; Alessandro Giuseppi; Alessandro Di Giorgio 001 (IAS, 2018)

Risk Adverse Virtual Power Plant Control in Unsecure Power Systems. - Alessandro Giuseppi; Roberto Germanà; Alessandro Di Giorgio 001 (MED, 2018)

A Game-Theoretical Approach to Cyber-Security of Critical Infrastructures Based on Multi-Agent Reinforcement Learning. - Martina Panfili; Alessandro Giuseppi; Andrea Fiaschetti; Homoud B. Al-Jibreen; Antonio Pietrabissa; Francesco Delli Priscoli (MED, 2018)

Distributed Wardrop Load Balancing in Multi-MTU SCADA Systems. - Vincenzo Suraci; Lorenzo Ricciardi Celsi; Alessandro Giuseppi; Gioacchino Manfredi; Alessandro Di Giorgio 001 (MED, 2018)

Integrated protection of industrial control systems from cyber-attacks: the ATENA approach. - Florian Adamsky; Matthieu Aubigny; Federica Battisti; Marco Carli; Federico Cimorelli; Tiago Cruz 001; Alessandro Di Giorgio 001; Chiara Foglietta; A. Galli; Alessandro Giuseppi; Francesco Liberati; Alessandro Neri 001; et al. (Int. J. Crit. Infrastructure Prot., 2018)

Securing Cyber-Physical Systems: An Optimization Framework based on OSSTMM and Genetic Algorithms. - Alessandro Giuseppi; Andrea Tortorelli; Roberto Germanà; Francesco Liberati; Andrea Fiaschetti (MED, 2019)

Decentralised Model Predictive Control of Electric Vehicles Charging. - Alessandro Di Giorgio 001; Alessandro Giuseppi; Roberto Germanà; Francesco Liberati (SMC, 2019)

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)

Lyapunov-Based Design of a Distributed Wardrop Load-Balancing Algorithm With Application to Software-Defined Networking. - Antonio Pietrabissa; Lorenzo Ricciardi Celsi; Federico Cimorelli; Vincenzo Suraci; Francesco Delli Priscoli; Alessandro Di Giorgio 001; Alessandro Giuseppi; Salvatore Monaco (IEEE Trans. Control. Syst. Technol., 2019)

Ensuring the Stability of Power Systems Against Dynamic Load Altering Attacks: A Robust Control Scheme Using Energy Storage Systems. - Roberto Germanà; Alessandro Giuseppi; Alessandro Di Giorgio 001 (ECC, 2020)

Traffic Steering and Network Selection in 5G Networks based on Reinforcement Learning. - Francesco Delli Priscoli; Alessandro Giuseppi; Francesco Liberati; Antonio Pietrabissa (ECC, 2020)

Management and Orchestration Architecture for Integrated Access of Satellite and Terrestrial in 5G. - Taesang Choi; Seok Ho Won; Alessandro Giuseppi; Antonio Pietrabissa; Sungoh Kwon (ICOIN, 2020)

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)

Controlled Optimal Black Start Procedures in Smart Grids for Service Restoration in Presence of Electrical Storage Systems. - Alessandro Giuseppi; Antonio Pietrabissa; Francesco Liberati; Alessandro Di Giorgio 001 (MED, 2020)

User-aware centralized resource allocation in heterogeneous networks. - Antonio Ornatelli; Alessandro Giuseppi; Vincenzo Suraci; Andrea Tortorelli (MED, 2020)

Iterative MPC for Energy Management and Load Balancing in 5G Heterogeneous Networks. - Antonio Ornatelli; Andrea Tortorelli; Alessandro Giuseppi (UEMCON, 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)

5G-ALLSTAR: An Integrated Satellite-Cellular System for 5G and Beyond. - Junhyeong Kim; Guido Casati; Antonio Pietrabissa; Alessandro Giuseppi; Emilio Calvanese Strinati; Nicolas Cassiau; Gosan Noh; Hee-Sang Chung; Ilgyu Kim; Marjorie Thary; Jean-Michel Houssin; Federico Pigni; et al. (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)

Chance-Constrained Control With Lexicographic Deep Reinforcement Learning. - Alessandro Giuseppi; Antonio Pietrabissa (IEEE Control. Syst. Lett., 2020)

A security metric for assessing the security level of critical infrastructures. - Andrea Tortorelli; Andrea Fiaschetti; Alessandro Giuseppi; Vincenzo Suraci; Roberto Germanà; Francesco Delli Priscoli (Int. J. Crit. Comput. Based Syst., 2020)

Automatic Transportation Mode Recognition on Smartphone Data Based on Deep Neural Networks. - Francesco Delli Priscoli; Alessandro Giuseppi; Federico Lisi (Sensors, 2020)

Efficient and Risk-Aware Control of Electricity Distribution Grids. - Francesco Liberati; Alessandro Di Giorgio 001; Alessandro Giuseppi; Antonio Pietrabissa; Francesco Delli Priscoli (IEEE Syst. J., 2020)

AdaFed: Performance-based Adaptive Federated Learning. - Alessandro Giuseppi; Lucrezia Della Torre; Danilo Menegatti; Antonio Pietrabissa (ICAAI, 2021)

Hierarchical RL for Load Balancing and QoS Management in Multi-Access Networks. - Antonio Ornatelli; Andrea Tortorelli; Alessandro Giuseppi; Francesco Delli Priscoli (MED, 2021)

Forest Fire Risk Prediction from Satellite Data with Convolutional Neural Networks. - Alessandro Santopaolo; Syed Saad Saif; Antonio Pietrabissa; Alessandro Giuseppi (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)

Wardrop Equilibrium in Discrete-Time Selfish Routing With Time-Varying Bounded Delays. - Alessandro Giuseppi; Antonio Pietrabissa (IEEE Trans. Autom. Control., 2021)

A Distributed Average Cost Reinforcement Learning approach for Power Control in Wireless 5G Networks. - Antonio Ornatelli; Alessandro Giuseppi; Andrea Tortorelli (AIIoT, 2022)

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 Energy Storage System Placement for Robust Stabilization of Power Systems Against Dynamic Load Altering Attacks. - Roberto Germanà; Alessandro Giuseppi; Antonio Pietrabissa; Alessandro Di Giorgio 001 (MED, 2022)

Decentralized Federated Learning for Nonintrusive Load Monitoring in Smart Energy Communities. - Alessandro Giuseppi; Sabato Manfredi; Danilo Menegatti; Antonio Pietrabissa; Cecilia Poli (MED, 2022)

Model Predictive Control for Collision-free Spacecraft Formation with Artificial Potential Functions. - Danilo Menegatti; Alessandro Giuseppi; Antonio Pietrabissa (MED, 2022)

Automated Optical Inspection for Printed Circuit Board Assembly Manufacturing with Transfer Learning and Synthetic Data Generation. - Syed Saad Saif; Kerem Aras; Alessandro Giuseppi (MED, 2022)

Decentralised Federated Learning for Hospital Networks With Application to COVID-19 Detection. - Alessandro Giuseppi; Sabato Manfredi; Danilo Menegatti; Cecilia Poli; Antonio Pietrabissa (IEEE Access, 2022)

A Weighted Average Consensus Approach for Decentralized Federated Learning. - Alessandro Giuseppi; Sabato Manfredi; Antonio Pietrabissa (Int. J. Autom. Comput., 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)

Bellman's principle of optimality and deep reinforcement learning for time-varying tasks. - Alessandro Giuseppi; Antonio Pietrabissa (Int. J. Control, 2022)

A decision support tool for optimal configuration of critical infrastructures. - Andrea Tortorelli; Andrea Fiaschetti; Roberto Germanà; Alessandro Giuseppi; Vincenzo Suraci; Andrea Andreani; Francesco Delli Priscoli (Int. J. Crit. Infrastructures, 2022)

Stability of Non-Cooperative Load Balancing with Time-Varying Latency. - Alessandro Giuseppi; Danilo Menegatti; Antonio Pietrabissa (CDC, 2023)

Behavioural Cloning for Serious Games in Support of Pediatric Neurorehabilitation. - Federico Baldisseri; Edoardo Montecchiani; Arturo Maiani; Danilo Menegatti; Alessandro Giuseppi; Antonio Pietrabissa; Vincenzo Fogliati; Francesco Delli Priscoli (MED, 2023)

Landslide Susceptibility Prediction from Satellite Data through an Intelligent System based on Deep Learning. - Alessandro Giuseppi; Leonardo Pio Lo Porto; Andrea Wrona; Danilo Menegatti (MED, 2023)

Deep Image Inpainting to Support Endoscopic Procedures. - Danilo Menegatti; Filippo Betello; Francesco Delli Priscoli; Alessandro Giuseppi (MED, 2023)

Vertically-Advised Federated Learning for Multi-Strategic Stock Predictions through Stochastic Attention-based LSTM. - Danilo Menegatti; Emanuele Ciccarelli; Michele Viscione; Alessandro Giuseppi (MED, 2023)

Load Demand Prediction for Electric Vehicles Smart Charging through Consensus-based Federated Learning. - Danilo Menegatti; Antonio Pietrabissa; Sabato Manfredi; Alessandro Giuseppi (MED, 2023)

A Discrete-Time Multi-Hop Consensus Protocol for Decentralized Federated Learning. - Danilo Menegatti; Alessandro Giuseppi; Sabato Manfredi; Antonio Pietrabissa (IEEE Access, 2023)

Stability and Wardrop Equilibria of Noncooperative Routing With Time-Varying Load. - Alessandro Giuseppi; Antonio Pietrabissa (IEEE Trans. Autom. Control., 2023)

Dynamic Topology Optimization for Efficient and Decentralised Federated Learning. - Danilo Menegatti; Alessandro Giuseppi; Cecilia Poli; Antonio Pietrabissa (IEEE Big Data, 2024)

Deep Reinforcement Learning Platooning Control of Non-Cooperative Autonomous Vehicles in a Mixed Traffic Environment. - Danilo Menegatti; Andrea Wrona; Antonio Di Paola; Simone Gentile; Alessandro Giuseppi (CASE, 2024)

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)

Dynamic Mode Decomposition for Individualized Model Predictive Control with Application to Type 1 Diabetes. - Valentina Becchetti; Mohab M. H. Atanasious; Danilo Menegatti; Federico Baldisseri; Alessandro Giuseppi (MED, 2024)

ARIES: An Intelligent System for Landslide and Wildfire Risk Management. - Alessandro Giuseppi; Antonio Di Paola; Alessandro Santopaolo; Syed Saad Saif; Federico Fiorini; Antonio Pietrabissa (MED, 2024)

Identifying chaotic dynamics in noisy time series through multimodal deep neural networks. - Alessandro Giuseppi; Danilo Menegatti; Antonio Pietrabissa (Mach. Learn. Sci. Technol., 2024)

Tractable Data-Driven Model Predictive Control Using One-Step Neural Networks Predictors. - Danilo Menegatti; Alessandro Giuseppi; Antonio Pietrabissa (IEEE Trans Autom. Sci. Eng., 2025)