activity
20202026
most citedDecentralized Edge-to-Cloud Load-balancing: Service Placement for the Internet of Things

119 citations · 143 across the 13 of their papers we have counts for

collaborators

16 papers

cs.AI2026

OTel: Open Telco AI Datasets, Benchmarks, and Models

Farbod Tavakkoli, Gregory Diamos, Kenneth Church +19

We present Open Telco (OTel), an open telecom AI resource that releases derived telecom datasets for retrieval, reranking, instruction tuning, and safety/abstention, together with…

cs.AI2026

Offline AI Modules: Voice-First Offline Architecture, Hardware Reference Stack, Quantization and Benchmarking

Sunday Afariogun, Odunolaoluwa Jenrola, Zeinab Nezami

The Offline AI Modules workstream enables practical, low-power, and community-accessible deployment of voice-first AI systems that operate fully offline. Designed for African langu…

cs.NI2026

Decision-Theoretic Safety Assessment of Persona-Driven Multi-Agent Systems in O-RAN

Zeinab Nezami, Syed Ali Raza Zaidi, Maryam Hafeez +3

Autonomous network management in Open Radio Access Networks requires intelligent decision making across conflicting objectives, yet existing LLM based multi agent systems employ ho…

eess.SY2025

Safety and Risk Pathways in Cooperative Generative Multi-Agent Systems: A Telecom Perspective

Zeinab Nezami, Shehr Bano, Abdelaziz Salama +2

Generative multiagent systems are rapidly emerging as transformative tools for scalable automation and adaptive decisionmaking in telecommunications. Despite their promise, these s…

eess.SP2025★ 3 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…

eess.SP2025★ 1 cited

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN

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

The deployment of AI agents within legacy Radio Access Network (RAN) infrastructure poses significant safety and reliability challenges for future 6G networks. This paper presents…

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.NI2025

KP-A: A Unified Network Knowledge Plane for Catalyzing Agentic Network Intelligence

Yun Tang, Mengbang Zou, Zeinab Nezami +2

The emergence of large language models (LLMs) and agentic systems is enabling autonomous 6G networks with advanced intelligence, including self-configuration, self-optimization, an…

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.NI2025★ 8 cited

The Interplay of AI-and-RAN: Dynamic Resource Allocation for Converged 6G Platform

Syed Danial Ali Shah, Zeinab Nezami, Maryam Hafeez +1

The concept of AI-RAN as specified by the AI-RAN alliance is geared to explore a converged 6G platform that can support management, orchestration, and deployment of both AI and RAN…

cs.NI2025★ 3 cited

Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi +132

This white paper discusses the role of large-scale AI in the telecommunications industry, with a specific focus on the potential of generative AI to revolutionize network functions…

cs.DC2024★ 6 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.DC2024★ 3 cited

When Computing follows Vehicles: Decentralized Mobility-Aware Resource Allocation for Edge-to-Cloud Continuum

Zeinab Nezami, Emmanouil Chaniotakis, Evangelos Pournaras

The transformation of smart mobility is unprecedented--Autonomous, shared and electric connected vehicles, along with the urgent need to meet ambitious net-zero targets by shifting…

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…

cs.DC2020★ 119 cited

Decentralized Edge-to-Cloud Load-balancing: Service Placement for the Internet of Things

Zeinab Nezami, Kamran Zamanifar, Karim Djemame +1

The Internet of Things (IoT) requires a new processing paradigm that inherits the scalability of the cloud while minimizing network latency using resources closer to the network ed…