275 citations · 607 across the 15 of their papers we have counts for
16 papers
RIoT Digital Twin: Modeling, Deployment, and Optimization of Reconfigurable IoT System with Optical-Radio Wireless Integration
Alaa Awad Abdellatif, Sergio Silva, Eduardo Baltazar +7
This paper proposes an optimized Reconfigurable Internet of Things (RIoT) framework that integrates optical and radio wireless technologies with a focus on energy efficiency, scala…
Edge-Enabled UAV Swarm Deployment for Rapid Post-Disaster Search and Rescue
Alaa Awad Abdellatif, Helder Fontes, Andre Coelho +2
This paper presents an optimized Joint Radar-Communication (JRC) system utilizing multiple Unmanned Aerial Vehicles (UAVs) to simultaneously achieve sensing and communication objec…
Joint Optimization of Multi-UAV Deployment and 3D Positioning in Traffic-Aware Aerial Networks
Kamran Shafafi, Alaa Awad Abdellatif, Manuel Ricardo +1
Unmanned Aerial Vehicles (UAVs) have emerged as a key enabler for next-generation wireless networks due to their on-demand deployment, high mobility, and ability to provide Line-of…
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…
PDSR: Efficient UAV Deployment for Swift and Accurate Post-Disaster Search and Rescue
Alaa Awad Abdellatif, Ali Elmancy, Amr Mohamed +3
This paper introduces a comprehensive framework for Post-Disaster Search and Rescue (PDSR), aiming to optimize search and rescue operations leveraging Unmanned Aerial Vehicles (UAV…
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…
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous multi-RAT Networks
Mhd Saria Allahham, Alaa Awad Abdellatif, Naram Mhaisen +3
The rapid production of mobile devices along with the wireless applications boom is continuing to evolve daily. This motivates the exploitation of wireless spectrum using multiple…
Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints
Ilyes Mrad, Lutfi Samara, Alaa Awad Abdellatif +3
The usage of unmanned aerial vehicles (UAVs) in civil and military applications continues to increase due to the numerous advantages that they provide over conventional approaches.…
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey
Alaa Awad Abdellatif, Naram Mhaisen, Zina Chkirbene +3
The rapid increase in the percentage of chronic disease patients along with the recent pandemic pose immediate threats on healthcare expenditure and elevate causes of death. This c…
Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data
Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed +4
Federated learning (FL) is a distributed learning methodology that allows multiple nodes to cooperatively train a deep learning model, without the need to share their local data. I…
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
Emna Baccour, Naram Mhaisen, Alaa Awad Abdellatif +4
Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of Things (IoT) applications and services, spanning from recommendation systems to ro…
I-Health: Leveraging Edge Computing and Blockchain for Epidemic Management
Alaa Awad Abdellatif, Lutfi Samara, Amr Mohamed +5
Epidemic situations typically demand intensive data collection and management from different locations/entities within a strict time constraint. Such demand can be fulfilled by lev…
Compress or Interfere?
Alaa Awad Abdellatif, Lutfi Samara, Amr Mohamed +3
Rapid evolution of wireless medical devices and network technologies has fostered the growth of remote monitoring systems. Such new technologies enable monitoring patients' medical…
SSHealth: Toward Secure, Blockchain-Enabled Healthcare Systems
Alaa Awad Abdellatif, Abeer Z. Al-Marridi, Amr Mohamed +3
The future of healthcare systems is being shaped by incorporating emerged technological innovations to drive new models for patient care. By acquiring, integrating, analyzing, and…
Edge Computing For Smart Health: Context-aware Approaches, Opportunities, and Challenges
Alaa Awad Abdellatif, Amr Mohamed, Carla Fabiana Chiasserini +2
Improving efficiency of healthcare systems is a top national interest worldwide. However, the need of delivering scalable healthcare services to the patients while reducing costs i…
Active Learning-based Classification in Automated Connected Vehicles
Alaa Awad Abdellatif, Carla Fabiana Chiasserini, Francesco Malandrino
Machine learning has emerged as a promising paradigm for enabling connected, automated vehicles to autonomously cruise the streets and react to unexpected situations. A key challen…