Scalable Multi-objective Optimization of Reliable Latency-constrained Optical Transport Networks. - Nicola Di Cicco; Valentina Cacchiani; Carla Raffaelli (DRCN, 2021)

Explainable Artificial Intelligence in communication networks: A use case for failure identification in microwave networks. - Omran Ayoub; Nicola Di Cicco; Fatima Ezzeddine; Federica Bruschetta; Roberto Rubino; Massimo Nardecchia; Michele Milano; Francesco Musumeci 001; Claudio Passera; Massimo Tornatore (Comput. Networks, 2022)

Optimization over time of reliable 5G-RAN with network function migrations. - Nicola Di Cicco; Federico Tonini; Valentina Cacchiani; Carla Raffaelli (Comput. Networks, 2022)

Selective hybrid EDFA/Raman amplifier placement to mitigate lightpath degradation in (C + L) networks. - Giovanni Sticca; Memedhe Ibrahimi; Francesco Musumeci 001; Nicola Di Cicco; Andrea Castoldi; Rosanna Pastorelli; Massimo Tornatore (JOCN, 2022)

Uncertainty-Aware QoT Forecasting in Optical Networks with Bayesian Recurrent Neural Networks. - Nicola Di Cicco; Jacopo Talpini; Memedhe Ibrahimi; Marco Savi; Massimo Tornatore (ICC, 2023)

DRL-FORCH: A Scalable Deep Reinforcement Learning-based Fog Computing Orchestrator. - Nicola Di Cicco; Gaetano Francesco Pittalà; Gianluca Davoli; Davide Borsatti; Walter Cerroni; Carla Raffaelli; Massimo Tornatore (NetSoft, 2023)

Poster: Continual Network Learning. - Nicola Di Cicco; Amir Al Sadi; Chiara Grasselli; Andrea Melis 001; Gianni Antichi; Massimo Tornatore (SIGCOMM, 2023)

Multi-Band Measurements for Deep Learning-Based Dynamic Channel Prediction and Simulation. - Faruk Pasic; Nicola Di Cicco; Marco Skocaj; Massimo Tornatore; Stefan Schwarz; Christoph F. Mecklenbräuker; Vittorio Oegli-Esposti (IEEE Commun. Mag., 2023)

Vehicle-to-Everything (V2X) Datasets for Machine Learning-Based Predictive Quality of Service. - Marco Skocaj; Nicola Di Cicco; Tommaso Zugno; Mate Boban; Jiri Blumenstein; Ales Prokes; Tomas Mikulasek; Josef Vychodil; Konstantin Mikhaylov; Massimo Tornatore; Vittorio Degli-Esposti (IEEE Commun. Mag., 2023)

Minimizing the cost of hierarchical optical transport network traffic grooming boards in metro networks. - Aryanaz Attarpour; Memedhe Ibrahimi; Nicola Di Cicco; Francesco Musumeci 001; Andrea Castoldi; Mario Ragni; Massimo Tornatore (J. Opt. Commun. Netw., 2023)

Multi-Objective Scheduling and Resource Allocation of Kubernetes Replicas Across the Compute Continuum. - Nicola Di Cicco; Filippo Poltronieri; José Santos 001; Mattia Zaccarini; Mauro Tortonesi; Cesare Stefanelli; Filip De Turck (CNSM, 2024)

Resource-Efficient Implementation of Multiple Concurrent Tree-Based Models in P4 Switches using Feature Sharing. - Oleg Karandin; Aleix Lahoz Torres; Nicola Di Cicco; Francesco Musumeci 001; Massimo Tornatore (CNSM, 2024)

Joint QoT-Aware Optimization of OTN and WDM Layers for Low-Cost Optical Metro Networks. - Aryanaz Attarpour; Memedhe Ibrahimi; Nicola Di Cicco; Francesco Musumeci 001; Andrea Castoldi; Mario Ragni; Massimo Tornatore (ICC, 2024)

Recovering Missing Monitoring Data to Enhance Service Provisioning in the Edge-to-Cloud Continuum. - Gaetano Francesco Pittalà; Cristian Zilli; Nicola Di Cicco; Gianluca Davoli; Alessio Sacco (NetSoft, 2024)

Power Consumption-Aware 5G Edge UPF Selection using Deep Reinforcement Learning. - Arturo Bellin; Nicola Di Cicco; Daniele Munaretto; Fabrizio Granelli (NFV-SDN, 2024)

Efficient Microservice Deployment in Kubernetes Multi-Clusters through Reinforcement Learning. - José Santos 001; Mattia Zaccarini; Filippo Poltronieri; Mauro Tortonesi; Cesare Sleianelli; Nicola Di Cicco; Filip De Turck (NOMS, 2024)

Hollow-Core-Fiber Placement in Latency-Constrained Metro Networks with edgeDCs. - Giovanni Sticca; Memedhe Ibrahimi; Nicola Di Cicco; Francesco Musumeci 001; Massimo Tornatore (OFC, 2024)

Towards Generative Ray Path Sampling for Faster Point-to-Point Ray Tracing. - Jérome Eertmans; Nicola Di Cicco; Claude Oestges; Laurent Jacques; Enrico M. Vittuci; Vittorio Degli-Esposti (CoRR, 2024)

DeepLS: Local Search for Network Optimization Based on Lightweight Deep Reinforcement Learning. - Nicola Di Cicco; Memedhe Ibrahimi; Sebastian Troia; Massimo Tornatore (IEEE Trans. Netw. Serv. Manag., 2024)

ASAP Hardware Failure-Cause Identification in Microwave Networks Using Venn-Abers Predictors. - Nicola Di Cicco; Memedhe Ibrahimi; Omran Ayoub; Federica Bruschetta; Michele Milano; Claudio Passera; Francesco Musumeci 001 (IEEE Trans. Netw. Serv. Manag., 2024)

Machine Learning for Failure Management in Microwave Networks: A Data-Centric Approach. - Nicola Di Cicco; Memedhe Ibrahimi; Francesco Musumeci 001; Federica Bruschetta; Michele Milano; Claudio Passera; Massimo Tornatore (IEEE Trans. Netw. Serv. Manag., 2024)

Link Configuration for Fidelity-Constrained Entanglement Routing in Quantum Networks. - Qiaolun Zhang; Nicola Di Cicco; Memedhe Ibrahimi; Raul C. Almeida; Alberto Gatto 001; Raouf Boutaba; Massimo Tornatore (INFOCOM, 2025)

Guiding Network Function Virtualization Orchestration Through the Digital Twin Technology. - Marco Polverini; Giuseppe G. Sirico; Francesco Giacinto Lavacca; Antonio Cianfrani; Sebastian Troia; Nicola Di Cicco; Memedhe Ibrahimi (NetSoft, 2025)

Hollow Core Fiber as a Long-Term Solution for Capacity Scaling in Optical Networks. - Giovanni Simone Sticca; Memedhe Ibrahimi; Nicola Di Cicco; Francesco Musumeci 001; Massimo Tornatore (OFC, 2025)

HephaestusForge: Optimal microservice deployment across the Compute Continuum via Reinforcement Learning. - José Santos 001; Mattia Zaccarini; Filippo Poltronieri; Mauro Tortonesi; Cesare Stefanelli; Nicola Di Cicco; Filip De Turck (Future Gener. Comput. Syst., 2025)

Experimental demonstration of local AI-Agents for lifecycle management and control automation of optical networks. - Chenyu Sun; Xin Yang; Nicola Di Cicco; Reda Ayassi; Virajit Garbhapu Venkata; Photios A. Stavrou; Massimo Tornatore; Gabriel Charlet; Yvan Pointurier (J. Opt. Commun. Netw., 2025)

COST CA20120 INTERACT Framework of Artificial Intelligence-Based Channel Modeling. - Ruisi He; Nicola Di Cicco; Bo Ai 001; Mi Yang; Yang Miao; Mate Boban (IEEE Wirel. Commun., 2025)