83 citations · 250 across the 18 of their papers we have counts for
18 papers
PhysAI-Bench: A Benchmark for LLM-Based Agentic Decision-Making in Autonomous UAV-Centric Physical AI
Mohamed Amine Ferrag, Merouane Debbah, Abderrahmane Lakas +2
Recent advances in Physical AI have accelerated the use of foundation models in autonomous systems such as unmanned aerial vehicles (UAVs), which must perceive, reason, plan, and a…
LIDSA: Cognitive Arbitration for Signal-Free Autonomous Intersection Management
Abderrahmane Lakas, Mohamed Amine Ferrag, Merouane Debbah
Large language models (LLMs) show strong potential for Intelligent Transportation Systems (ITS), particularly in tasks requiring situational reasoning and multi-agent coordination.…
6G Needs Agents: Toward Agentic AI-Native Networks for Autonomous Intelligence
Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah
Sixth-generation (6G) networks are increasingly envisioned as AI-native infrastructures integrating communication, sensing, and computing into a unified fabric. However, existing a…
How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks
Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah
Emerging 6G visions, reflected in ongoing standardization efforts within 3GPP, IETF, ETSI, ITU-T, and the O-RAN Alliance, increasingly characterize networks as AI-native systems in…
6G-Bench: An Open Benchmark for Semantic Communication and Network-Level Reasoning with Foundation Models in AI-Native 6G Networks
Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah
This paper introduces 6G-Bench, an open benchmark for evaluating semantic communication and network-level reasoning in AI-native 6G networks. 6G-Bench defines a taxonomy of 30 deci…
-SecBench: A Large-Scale Evaluation Suite of Security, Resilience, and Trust for LLM-based UAV Agents over 6G Networks
Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah
Autonomous unmanned aerial vehicle (UAV) systems are increasingly deployed in safety-critical, networked environments where they must operate reliably in the presence of malicious…
AgentDrive: An Open Benchmark Dataset for Agentic AI Reasoning with LLM-Generated Scenarios in Autonomous Systems
Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah
The rapid advancement of large language models (LLMs) has sparked growing interest in their integration into autonomous systems for reasoning-driven perception, planning, and decis…
-Bench: A Unified Benchmark of Safety, Robustness, and Efficiency for LLM-Based UAV Agents over 6G Networks
Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah
Large Language Models (LLMs) are increasingly used as high level controllers for autonomous Unmanned Aerial Vehicle (UAV) missions. However, existing evaluations rarely assess whet…
UAVBench: An Open Benchmark Dataset for Autonomous and Agentic AI UAV Systems via LLM-Generated Flight Scenarios
Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah
Autonomous aerial systems increasingly rely on large language models (LLMs) for mission planning, perception, and decision-making, yet the lack of standardized and physically groun…
GAT-RWOS: Graph Attention-Guided Random Walk Oversampling for Imbalanced Data Classification
Zahiriddin Rustamov, Abderrahmane Lakas, Nazar Zaki
Class imbalance poses a significant challenge in machine learning (ML), often leading to biased models favouring the majority class. In this paper, we propose GAT-RWOS, a novel gra…
Transformer-based Image and Video Inpainting: Current Challenges and Future Directions
Omar Elharrouss, Rafat Damseh, Abdelkader Nasreddine Belkacem +2
Image inpainting is currently a hot topic within the field of computer vision. It offers a viable solution for various applications, including photographic restoration, video editi…
Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives
Billel Essaid, Hamza Kheddar, Noureddine Batel +2
Automatic speech recognition (ASR) plays a pivotal role in our daily lives, offering utility not only for interacting with machines but also for facilitating communication for indi…
Generative Adversarial Networks-Driven Cyber Threat Intelligence Detection Framework for Securing Internet of Things
Mohamed Amine Ferrag, Djallel Hamouda, Merouane Debbah +2
While the benefits of 6G-enabled Internet of Things (IoT) are numerous, providing high-speed, low-latency communication that brings new opportunities for innovation and forms the f…
Interest Flooding Attacks in Named Data Networking: Survey of Existing Solutions, Open Issues, Requirements and Future Directions (Extended version)
Ahmed Benmoussa, Chaker Abdelaziz Kerrache, Nasreddine Lagraa +3
Named Data Networking (NDN) is a prominent realization of the vision of Information-Centric Networking. The NDN architecture adopts name-based routing and location-independent data…
Trust2Vec: Large-Scale IoT Trust Management System based on Signed Network Embeddings
Sahraoui Dhelim, Nyothiri Aung, Tahar Kechadi +3
A trust management system (TMS) is an integral component of any IoT network. A reliable trust management system must guarantee the network security, data integrity, and act as a re…
VeSoNet: Traffic-Aware Content Caching for Vehicular Social Networks based on Path Planning and Deep Reinforcement Learning
Nyothiri Aung, Sahraoui Dhelim, Liming Chen +3
Vehicular social networking is an emerging application of the promising Internet of Vehicles (IoV) which aims to achieve the seamless integration of vehicular networks and social n…
End-to-End AI-Based Point-of-Care Diagnosis System for Classifying Respiratory Illnesses and Early Detection of COVID-19
Abdelkader Nasreddine Belkacem, Sofia Ouhbi, Abderrahmane Lakas +2
Respiratory symptoms can be a caused by different underlying conditions, and are often caused by viral infections, such as Influenza-like illnesses or other emerging viruses like t…
On-Demand Routing for Urban VANETs using Cooperating UAVs
Omar Sami Oubbati, Noureddine Chaib, Abderrahmane Lakas +1
Vehicular ad hoc networks (VANETs) are characterized by frequent routing path failures due to the high mobility caused by the sudden changes of the direction of vehicles. The routi…