510 citations · 2.2k across the 62 of their papers we have counts for
64 papers
CIVIC: Cooperative Immersion Via Intelligent Credit-sharing in DRL-Powered Metaverse
Amr Aboeleneen, Mohamed Abdallah, Aiman Erbad +1
The Metaverse faces complex resource allocation challenges due to diverse Virtual Environments (VEs), Digital Twins (DTs), dynamic user demands, and strict immersion needs. This pa…
RADAR-Q: Resource-Aware Distributed Asynchronous Routing for Entanglement Distribution in Multi-Tenant Quantum Networks
Chenliang Tian, Zebo Yang, Raj Jain +6
Scalable quantum networks must support concurrent entanglement requests, yet existing routing protocols fail when users compete for shared repeater resources, wasting fragile quant…
Asynchronous Routing for Multipartite Entanglement in Quantum Networks
Chenliang Tian, Zebo Yang, Raj Jain +6
In quantum networks, one way to communicate is to distribute entanglements through swapping at intermediate nodes. Most existing work primarily aims to create efficient two-party e…
IntAgent: NWDAF-Based Intent LLM Agent Towards Advanced Next Generation Networks
Abdelrahman Soliman, Ahmed Refaey, Aiman Erbad +1
Intent-based networks (IBNs) are gaining prominence as an innovative technology that automates network operations through high-level request statements, defining what the network s…
Balancing Decentralized Trust and Physical Evidence: A Blockchain-Physical Layer Co-Design for Real-Time 3D Prioritization in Disaster Zones
Mohammad Taghi Dabiri, Mazen Hasna, Aiman Erbad +2
During disaster response, making rapid and well-informed decisions about which areas require immediate attention can save lives. However, current coordination models often struggle…
Debiasing the Influence of Demographic and Appearance Cues in Social Engineering via Role-Taking: Negative Results
Tourjana Islam Supti, Israa Abuelezz, Aya Muhanad +5
This study investigates the efficacy of role-taking and literacy-based interventions in reducing the influence of appearance cues, such as gender, age, ethnicity, and clothing styl…
A Novel Monte-Carlo Compressed Sensing and Dictionary Learning Method for the Efficient Path Planning of Remote Sensing Robots
Alghalya Al-Hajri, Ejmen Al-Ubejdij, Aiman Erbad +1
In recent years, Compressed Sensing (CS) has gained significant interest as a technique for acquiring high-resolution sensory data using fewer measurements than traditional Nyquist…
Federated Learning of Low-Rank One-Shot Image Detection Models in Edge Devices with Scalable Accuracy and Compute Complexity
Abdul Hannaan, Zubair Shah, Aiman Erbad +2
This paper introduces a novel federated learning framework termed LoRa-FL designed for training low-rank one-shot image detection models deployed on edge devices. By incorporating…
Multi-Agent DRL for Queue-Aware Task Offloading in Hierarchical MEC-Enabled Air-Ground Networks
Muhammet Hevesli, Abegaz Mohammed Seid, Aiman Erbad +1
Mobile edge computing (MEC)-enabled air-ground networks are a key component of 6G, employing aerial base stations (ABSs) such as unmanned aerial vehicles (UAVs) and high-altitude p…
A Multi-Agent DRL-Based Framework for Optimal Resource Allocation and Twin Migration in the Multi-Tier Vehicular Metaverse
Nahom Abishu Hayla, A. Mohammed Seid, Aiman Erbad +3
Although multi-tier vehicular Metaverse promises to transform vehicles into essential nodes -- within an interconnected digital ecosystem -- using efficient resource allocation and…
Layer-Wise Security Framework and Analysis for the Quantum Internet
Zebo Yang, Ali Ghubaish, Raj Jain +5
With its significant security potential, the quantum internet is poised to revolutionize technologies like cryptography and communications. Although it boasts enhanced security ove…
Learn to Slice, Slice to Learn: Unveiling Online Optimization and Reinforcement Learning for Slicing AI Services
Amr Abo-eleneen, Menna Helmy, Alaa Awad Abdellatif +3
In the face of increasing demand for zero-touch networks to automate network management and operations, two pivotal concepts have emerged: "Learn to Slice" (L2S) and "Slice to Lear…
Slicing for AI: An Online Learning Framework for Network Slicing Supporting AI Services
Menna Helmy, Alaa Awad Abdellatif, Naram Mhaisen +2
The forthcoming 6G networks will embrace a new realm of AI-driven services that requires innovative network slicing strategies, namely slicing for AI, which involves the creation o…
A Survey and Comparison of Post-quantum and Quantum Blockchains
Zebo Yang, Haneen Alfauri, Behrooz Farkiani +3
Blockchains have gained substantial attention from academia and industry for their ability to facilitate decentralized trust and communications. However, the rapid progress of quan…
A Blockchain-based Reliable Federated Meta-learning for Metaverse: A Dual Game Framework
Emna Baccour, Aiman Erbad, Amr Mohamed +2
The metaverse, envisioned as the next digital frontier for avatar-based virtual interaction, involves high-performance models. In this dynamic environment, users' tasks frequently…
Multi-UAV Multi-RIS QoS-Aware Aerial Communication Systems using DRL and PSO
Marwan Dhuheir, Aiman Erbad, Ala Al-Fuqaha +1
Recently, Unmanned Aerial Vehicles (UAVs) have attracted the attention of researchers in academia and industry for providing wireless services to ground users in diverse scenarios…
LEMDA: A Novel Feature Engineering Method for Intrusion Detection in IoT Systems
Ali Ghubaish, Zebo Yang, Aiman Erbad +1
Intrusion detection systems (IDS) for the Internet of Things (IoT) systems can use AI-based models to ensure secure communications. IoT systems tend to have many connected devices…
Energy-Aware Service Offloading for Semantic Communications in Wireless Networks
Hassan Saadat, Abdullatif Albaseer, Mohamed Abdallah +2
Today, wireless networks are becoming responsible for serving intelligent applications, such as extended reality and metaverse, holographic telepresence, autonomous transportation,…
Meta Reinforcement Learning for Strategic IoT Deployments Coverage in Disaster-Response UAV Swarms
Marwan Dhuheir, Aiman Erbad, Ala Al-Fuqaha
In the past decade, Unmanned Aerial Vehicles (UAVs) have grabbed the attention of researchers in academia and industry for their potential use in critical emergency applications, s…
Intelligent DRL-Based Adaptive Region of Interest for Delay-sensitive Telemedicine Applications
Abdulrahman Soliman, Amr Mohamed, Elias Yaacoub +2
Telemedicine applications have recently received substantial potential and interest, especially after the COVID-19 pandemic. Remote experience will help people get their complex su…
Adaptive ResNet Architecture for Distributed Inference in Resource-Constrained IoT Systems
Fazeela Mazhar Khan, Emna Baccour, Aiman Erbad +1
As deep neural networks continue to expand and become more complex, most edge devices are unable to handle their extensive processing requirements. Therefore, the concept of distri…
Zero-touch realization of Pervasive Artificial Intelligence-as-a-service in 6G networks
Emna Baccour, Mhd Saria Allahham, Aiman Erbad +3
The vision of the upcoming 6G technologies, characterized by ultra-dense network, low latency, and fast data rate is to support Pervasive AI (PAI) using zero-touch solutions enabli…
LLHR: Low Latency and High Reliability CNN Distributed Inference for Resource-Constrained UAV Swarms
Marwan Dhuheir, Aiman Erbad, Sinan Sabeeh
Recently, Unmanned Aerial Vehicles (UAVs) have shown impressive performance in many critical applications, such as surveillance, search and rescue operations, environmental monitor…
Optimal Resource Management for Hierarchical Federated Learning over HetNets with Wireless Energy Transfer
Rami Hamdi, Ahmed Ben Said, Emna Baccour +4
Remote monitoring systems analyze the environment dynamics in different smart industrial applications, such as occupational health and safety, and environmental monitoring. Specifi…