Team

Hatim Chergui

Research Line Manager & Senior Researcher

Contact hatim.chergui@i2cat.net
Hatim Chergui

Hatim Chergui, Dr. (IMT-Atlantique), és Investigador Sènior a la Fundació i2CAT. Va dirigir el projecte H2020 MonB5G, fou expert RAN a INWI/Huawei i té +45 publicacions, 1 llibre, 4 capítols i 1 patent. Va rebre els premis Best Paper IEEE ComSoc CSIM 2021 i IEEE ICC 2020. Editor Associat per a IEEE Networking Letters i coordinador de workshop, també va codirigir estudiants de doctorat i és membre sènior IEEE.

Publications

A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks

H. Chergui, F. Rezazadeh, M. Debbah, and C. Verikoukis, “A tutorial on cognitive biases in agentic AI-driven 6G autonomous networks,” IEEE Open Journal of the Communications Society (Accepted)

SliceOps: Explainable MLOps for Streamlined Automation-Native 6G Networks

F. Rezazadeh, H. Chergui, L. Alonso and C. Verikoukis, "SliceOps: Explainable MLOps for Streamlined Automation-Native 6G Networks," in IEEE Wireless Communications, doi: 10.1109/MWC.007.2300144 (Published), 2024

On the Specialization of FDRL Agents for Scalable and Distributed 6G RAN Slicing Orchestration

F. Rezazadeh, L. Zanzi, F. Devoti, H. Chergui, X. Costa-Pérez and C. Verikoukis, "On the Specialization of FDRL Agents for Scalable and Distributed 6G RAN Slicing Orchestration," in IEEE Transactions on Vehicular Technology, vol. 72, no. 3, pp. 3473-3487, March 2023, doi: 10.1109/TVT.2022.3218158.

Utilizing double-shadowed Rician fading over energy detector-based spectrum sensing with diversity reception

R. Maurya et al., Utilizing double-shadowed Rician fading over energy detector-based spectrum sensing with diversity reception, Elsevier International Journal of Electronics and Communications, vol 170, 2023

Toward Explainable Reasoning in 6G: A Proof of Concept Study on Radio Resource Allocation

F. Rezazadeh, S. Barrachina-Muñoz, H. Chergui, J. Mangues, M. Bennis, D. Niyato, H. Song, and L. Liu, "Toward Explainable Reasoning in 6G: A Proof of Concept Study on Radio Resource Allocation," in IEEE Open Journal of the Communication Society, 2024. , doi: 10.1109/OJCOMS.2024.3466225