Farhad Rezazadeh, Ph.D.

Farhad Rezazadeh, Ph.D.

Researcher (Sr. Applied AI Engineer) | CTTC

Publications

Proof of Concepts (PoCs)/Demos

  1. S. Barrachina-Muñoz, E. Zeydan, L. Blanco, L. Vettori, F. Rezazadeh, and J. Mangues-Bafalluy, “Cloud Native Federated Learning for Streaming: An Experimental Demonstrator”, IEEE HPSR, 2023. [IEEE Xplore]
  2. F. Rezazadeh, S. Barrachina-Muñoz, E. Zeydan, H. Song, K.P. Subbalakshmi, and J. Mangues-Bafalluy, “X-GRL: An Empirical Assessment of Explainable GNN-DRL in B5G/6G Networks”, IEEE NFV-SDN, 2023. [IEEE Xplore][arxiv]
  3. F. Rezazadeh, L. Zanzi, F. Devoti, S. Barrachina-Munoz, E. Zeydan, X. Costa-Pérez, and J. Mangues-Bafalluy, “A Multi-Agent Deep Reinforcement Learning Approach for RAN Resource Allocation in O-RAN”, IEEE INFOCOM, 2023. [IEEE Xplore][arxiv]

Book Chapters

  1. L. Blanco, E. Zeydan, F. Rezazadeh et al., “Towards Sustainable and Trustworthy 6G”, Towards Natively Intelligent Networks, Book Chapter, 5GPPP Architecture Working Group, 2023. [Access Link]
  2. M. Maule, O. Kohjogh, and F. Rezazadeh, “Enabling 6G Mobile Networks, Advanced Cloud-Based Network Management for 5G C-RAN “, Springer Nature, book chapter, 2021. [Access Link]

Journal and Magazine Papers

  1. L. Blanco, E. Zeydan, S. Barachina-Muñoz, F. Rezazadeh, L. Vettori, and J. Mangues-Bafaluy, “A Novel Approach for Scalable and Sustainable 6G Networks”, IEEE Open Journal of the Communications Society, 2024. [IEEE Xplore]
  2. F. Rezazadeh, H. Chergui, S. Siddiqui, J. Mangues, H. Song, W. Saad, and M. Bennis, “Intelligible Protocol Learning for Resource Allocation in 6G O-RAN Slicing”, IEEE Journal, 2023, under review. [IEEE Xplore][arxiv]
  3. F. Rezazadeh, H. Chergui, L. Alonso, and C. Verikoukis, “SliceOps: Explainable MLOps for Streamlined Automation-Native 6G Networks”, IEEE Wireless Communications Magazine, 2023. [IEEE Xplore][arxiv]
  4. S. Barrachina-Muñoz, F. Rezazadeh et al, “Empowering Beyond 5G Networks: An Experimental Assessment of Zero-Touch Management and Orchestration”, IEEE Journal, 2023, under review.
  5. L. Blanco, S. Kuklinski, E. Zeydan, F. Rezazadeh et al., “AI-driven Framework for Scalable Management of Network Slices”, IEEE Communications Magazine, 2023. [IEEE Xplore]
  6. F. Rezazadeh, L. Zanzi, F. Devoti, H. Chergui, X. Costa-Perez, and C. Verikoukis, “On the Specialization of FDRL Agents for Scalable and Distributed 6G RAN Slicing Orchestration”, IEEE Transactions on Vehicular Technology, 2022. [IEEE Xplore][arxiv]
  7. A. Dalgkitsis, L. A. Garrido, F. Rezazadeh, H. Chergui, K. Ramantas, J. S. Vardakas, and C. Verikoukis, “SCHE2MA: Scalable, Energy-Aware, Multi-Domain Orchestration for Beyond-5G URLLC Services”, IEEE Transactions on Intelligent Transportation Systems, 2022. [IEEE Xplore]
  8. F. Rezazadeh, H. Chergui, and C. Verikoukis, “Zero touch Continuous Network Slicing Control via Scalable Actor Critic Learning”, preprint, 2021. [arxiv]
  9. M. Tavana; H. Parvin, and F. Rezazadeh, “Parkinson Detection: an Image Processing Approach”, Journal of Medical Imaging and Health. Informatics, Volume 7, Number 2, April 2017, pp. 464-472(9). [Access Link]

Conference Papers

  1. R. Nikbakht, F. Javed, F. Rezazadeh et al, “Decentralized Energy Marketplace via NFTs and AI-based Agents”, IEEE ENERGYCON, 2024. [arxiv]
  2. F. Rezazadeh, H. Chergui, and J. Mangues-Bafalluy, “Explanation-Guided Deep Reinforcement Learning for Trustworthy 6G RAN Slicing”, IEEE ICC, 2023. [IEEE Xplore][arxiv]
  3. S. Roy, F. Rezazadeh, H. Chergui, and C. Verikoukis, “Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing”, IEEE ICC, 2023. [IEEE Xplore][arxiv]
  4. E. Zeydan, L. Blanco, S. Barrachina-Muñoz, F. Rezazadeh et al., “A Marketplace Solution for Distributed Network Management and Orchestration of Slices”, 3rd International Workshop on Analytics for Service and Application Management (IEEE-AnServApp 2023), 2023. [IEEE Xplore]
  5. F. Rezazadeh and N. Bartzoudis., “A Federated DRL Approach for Smart Micro-Grid Energy Control with Distributed Energy Resources, IEEE CAMAD, 2022. [IEEE Xplore][arxiv]
  6. F. Rezazadeh, S. Kahvazadeh, and M. Mosahebfard, “Towards Quantum-Enabled 6G Slicing”, 6G Summit, Abu Dhabi, 2022. [arxiv]
  7. F. Rezazadeh, F. Devotiy, L. Zanzi, H. Chergui, and X. Costa-Pérez, “A Federated Deep Reinforcement Learning Approach for Distributed Network Slicing Orchestration”, 2021 IEEE MeditCom, 2021. [Access Link]
  8. F. Rezazadeh, H. Chergui, L. Blanco, L. Alonso, and C. Verikoukis, “A Collaborative Statistical Actor-Critic Learning Approach for 6G Network Slicing Control”, 2021 IEEE GLOBECOM, 2021. [IEEE Xplore][arxiv]
  9. F. Rezazadeh, H. Chergui, L. Christofi, and C. Verikoukis, “Actor-Critic-Based Learning for Zero-touch Joint Resource and Energy Control in Network Slicing”, 2021 IEEE ICC, 2021. [IEEE Xplore][arxiv]
  10. F. Rezazadeh, H. Chergui, L. Alonso, C. Verikoukis, “Continuous Multi-objective Zero-touch Network Slicing via Twin Delayed DDPG and OpenAI Gym”, 2020 IEEE GLOBECOM, 2020. [IEEE Xplore][arxiv]
  11. F. Rezazadeh et al., “Role of SMO and SEO in e-Tourism Information Search”, 6th International Conference of Advances in Science and Technology, 2012.
  12. F. Rezazadeh et al., “A SWOT and PEST analysis of e-Government in Iran”, 5th Symposium on Advances in Science & Technology, 2011.