Continuous Multi-objective Zero-touch Network Slicing via Twin Delayed DDPG and OpenAI Gym. - Farhad Rezazadeh; Hatim Chergui; Luis Alonso 001; Christos V. Verikoukis (GLOBECOM, 2020)

A Collaborative Statistical Actor-Critic Learning Approach for 6G Network Slicing Control. - Farhad Rezazadeh; Hatim Chergui; Luis Blanco; Luis Alonso 001; Christos V. Verikoukis (GLOBECOM, 2021)

Actor-Critic-Based Learning for Zero-touch Joint Resource and Energy Control in Network Slicing. - Farhad Rezazadeh; Hatim Chergui; Loizos Christofi; Christos V. Verikoukis (ICC, 2021)

Zero-touch Continuous Network Slicing Control via Scalable Actor-Critic Learning. - Farhad Rezazadeh; Hatim Chergui; Christos V. Verikoukis (CoRR, 2021)

A Federated DRL Approach for Smart Micro-Grid Energy Control with Distributed Energy Resources. - Farhad Rezazadeh; Nikolaos G. Bartzoudis (CAMAD, 2022)

Towards Quantum-Enabled 6G Slicing. - Farhad Rezazadeh; Sarang Kahvazadeh; Mohammadreza Mosahebfard (CoRR, 2022)

A Marketplace Solution for Distributed Network Management and Orchestration of Slices. - Engin Zeydan; Luis Blanco; Sergio Barrachina-Muñoz; Farhad Rezazadeh; Luca Vettori; Josep Mangues (CNSM, 2023)

Cloud Native Federated Learning for Streaming: An Experimental Demonstrator. - Sergio Barrachina-Muñoz; Engin Zeydan; Luis Blanco; Luca Vettori; Farhad Rezazadeh; Josep Mangues-Bafalluy (HPSR, 2023)

Explanation-Guided Deep Reinforcement Learning for Trustworthy 6G RAN Slicing. - Farhad Rezazadeh; Hatim Chergui; Josep Mangues-Bafalluy (ICC Workshops, 2023)

Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing. - Swastika Roy; Farhad Rezazadeh; Hatim Chergui; Christos V. Verikoukis (ICC, 2023)

A Multi-Agent Deep Reinforcement Learning Approach for RAN Resource Allocation in O-RAN. - Farhad Rezazadeh; Lanfranco Zanzi; Francesco Devoti; Sergio Barrachina-Muñoz; Engin Zeydan; Xavier Costa-Pérez; Josep Mangues-Bafalluy (INFOCOM Workshops, 2023)

X-GRL: An Empirical Assessment of Explainable GNN-DRL in B5G/6G Networks. - Farhad Rezazadeh; Sergio Barrachina-Muñoz; Engin Zeydan; Houbing Song; K. P. Subbalakshmi; Josep Mangues-Bafalluy (NFV-SDN, 2023)

Decentralized Energy Marketplace via NFTs and AI-based Agents. - Rasoul Nikbakht; Farhana Javed; Farhad Rezazadeh; Nikolaos G. Bartzoudis; Josep Mangues-Bafalluy (CoRR, 2023)

SCHE2MA: Scalable, Energy-Aware, Multidomain Orchestration for Beyond-5G URLLC Services. - Anestis Dalgkitsis; Luis A. Garrido; Farhad Rezazadeh; Hatim Chergui; Kostas Ramantas; John S. Vardakas; Christos V. Verikoukis (IEEE Trans. Intell. Transp. Syst., 2023)

On the Specialization of FDRL Agents for Scalable and Distributed 6G RAN Slicing Orchestration. - Farhad Rezazadeh; Lanfranco Zanzi; Francesco Devoti; Hatim Chergui; Xavier Costa-Pérez; Christos V. Verikoukis (IEEE Trans. Veh. Technol., 2023)

AI-Driven Framework for Scalable Management of Network Slices. - Luis Blanco; Slawomir Kuklinski; Engin Zeydan; Farhad Rezazadeh; Ashima Chawla; Lanfranco Zanzi; Francesco Devoti; Robert Kolakowski; Vasiliki Vlahodimitropoulou; Ioannis P. Chochliouros; Anne-Marie Bosneag; Sihem Cherrared; et al. (IEEE Commun. Mag., 2023)

GenOnet: Generative Open xG Network Simulation with Multi-Agent LLM and ns-3. - Farhad Rezazadeh; Amir Ashtari Gargari; Sandra Lagén; Josep Mangues-Bafalluy; Dusit Niyato; Lingjia Liu 001 (6GNet, 2024)

Empowering Beyond 5G Networks: An Experimental Assessment of Zero-Touch Management and Orchestration. - Sergio Barrachina-Muñoz; Farhad Rezazadeh; Luis Blanco; Slawomir Kuklinski; Engin Zeydan; Ashima Chawla; Lanfranco Zanzi; Francesco Devoti; Vasiliki Vlahodimitropoulou; Ioannis P. Chochliouros; Anne-Marie Bosneag; Sihem Cherrared; et al. (IEEE Access, 2024)

A Mathematical Introduction to Deep Reinforcement Learning for 5G/6G Applications. - Farhad Rezazadeh (CoRR, 2024)

Demo: Generative Open xG Network Simulation with Multi-Agent LLM and ns-3 (GenOnet). - Farhad Rezazadeh; Amir Ashtari Gargari; Sandra Lagén; Josep Mangues; Dusit Niyato; Lingjia Liu 001 (CoRR, 2024)

A Novel Approach for Scalable and Sustainable 6G Networks. - Luis Blanco; Engin Zeydan; Sergio Barrachina-Muñoz; Farhad Rezazadeh; Luca Vettori; Josep Mangues-Bafalluy (IEEE Open J. Commun. Soc., 2024)

Toward Explainable Reasoning in 6G: A Proof of Concept Study on Radio Resource Allocation. - Farhad Rezazadeh; Sergio Barrachina-Muñoz; Hatim Chergui; Josep Mangues; Mehdi Bennis; Dusit Niyato; Houbing Song; Lingjia Liu 001 (IEEE Open J. Commun. Soc., 2024)

Lifelong AI-driven zero-touch network slicing - Farhad Rezazadeh (2024)

SliceOps: Explainable MLOps for Streamlined Automation-Native 6G Networks. - Farhad Rezazadeh; Hatim Chergui; Luis Alonso 001; Christos V. Verikoukis (IEEE Wirel. Commun., 2024)

Intelligible Protocol Learning for Resource Allocation in 6G O-RAN Slicing. - Farhad Rezazadeh; Hatim Chergui; Shuaib Siddiqui; Josep Mangues; Houbing Song; Walid Saad; Mehdi Bennis (IEEE Wirel. Commun., 2024)

Towards Cloud-Native Agentic Protocol Learning for Conflict-Free 6G: A Case Study on Inter-Slice Resource Allocation. - Juan Sebastian Camargo; Farhad Rezazadeh; Hatim Chergui; Shuaib Siddiqui; Lingjia Liu 001 (EuCNC/6G Summit, 2025)

Toward Generative 6G Simulation: An Experimental Multi-Agent LLM and ns-3 Integration. - Farhad Rezazadeh; Amir Ashtari Gargari; Sandra Lagén; Houbing Song; Dusit Niyato; Lingjia Liu 001 (MeditCom, 2025)

AI-Powered Data Synthesis for Advanced Simulation in 5G/6G mmWave Integrated Access and Backhaul Networks. - Amir Ashtari Gargari; Farhad Rezazadeh; Marco Giordani; Sandra Lagén; Lingjia Liu 001; Andra Lutu; Michele Zorzi (WONS, 2025)

An Experimental Reservoir-Augmented Foundation Model: 6G O-RAN Case Study. - Farhad Rezazadeh; Raymond Zhao; Jiongyu Dai; Amir Ashtari Gargari; Hatim Chergui; Lingjia Liu 001 (CoRR, 2025)