activity
20232025
most citedGenerative AI on the Edge: Architecture and Performance Evaluation

6 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SP20253 cited

Agentic AI meets Neural Architecture Search: Proactive Traffic Prediction for AI-RAN

Abdelaziz Salama, Mohammed M. H. Qazzaz, Zeinab Nezami +2

Next-generation wireless networks require intelligent traffic prediction to enable autonomous resource management and handle diverse, dynamic service demands. The Open Radio Access…

cs.AI2025

Benchmarking Vector, Graph and Hybrid Retrieval Augmented Generation (RAG) Pipelines for Open Radio Access Networks (ORAN)

Sarat Ahmad, Zeinab Nezami, Maryam Hafeez +1

Generative AI (GenAI) is expected to play a pivotal role in enabling autonomous optimization in future wireless networks. Within the ORAN architecture, Large Language Models (LLMs)…

cs.DC2025

Blockchain and Edge Computing Nexus: A Large-scale Systematic Literature Review

Zeinab Nezami, Zhuolun Li, Chuhao Qin +3

Blockchain and edge computing are two instrumental paradigms of decentralized computation, driving key advancements in Smart Cities applications such as supply chain, energy and mo…

eess.SY2025

From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems

Zeinab Nezami, Syed Danial Ali Shah, Maryam Hafeez +2

This paper envisions 6G as a self-evolving telecom ecosystem, where AI-driven intelligence enables dynamic adaptation beyond static connectivity. We explore the key enablers of aut…

cs.DC20246 cited

Generative AI on the Edge: Architecture and Performance Evaluation

Zeinab Nezami, Maryam Hafeez, Karim Djemame +1

6G's AI native vision of embedding advance intelligence in the network while bringing it closer to the user requires a systematic evaluation of Generative AI (GenAI) models on edge…

cs.DC2023

SMOTEC: An Edge Computing Testbed for Adaptive Smart Mobility Experimentation

Zeinab Nezami, Evangelos Pournaras, Amir Borzouie +1

Smart mobility becomes paramount for meeting net-zero targets. However, autonomous, self-driving and electric vehicles require more than ever before an efficient, resilient and tru…