275 citations · 822 across the 42 of their papers we have counts for
47 papers
Latency Decoupling in Low-Feedback Multi-User Networks via Overhearing-Driven NOMA
Mohsen Abedi, Ahmed Badawy, Amr Mohamed
Conventional wireless protocols such as Hybrid Automatic Repeat Request (HARQ) rely on frequent and timely feedback, which becomes impractical in low-feedback regimes including non…
Communication Security via Temporal Dependency
Mohsen Abedi, Ahmed Badawy, Amr Mohamed
Communication security has traditionally been built upon one of two external resources: shared secret keys or a communication advantage over the eavesdropper. However, many practic…
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Dawei Du, Longyin Wen, Pengfei Zhu +52
Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint.…
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…
An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud Environment
Emna Baccour, Fatima Haouari, Aiman Erbad +4
Crowdsourced live video streaming (livecast) services such as Facebook Live, YouNow, Douyu and Twitch are gaining more momentum recently. Allocating the limited resources in a cost…
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization
Mohammed Jouhari, Abdulla Al-Ali, Emna Baccour +4
Unmanned Aerial Vehicles (UAVs) have attracted great interest in the last few years owing to their ability to cover large areas and access difficult and hazardous target zones, whi…
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…
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data
Naram Mhaisen, Alaa Awad, Amr Mohamed +2
Distributed learning algorithms aim to leverage distributed and diverse data stored at users' devices to learn a global phenomena by performing training amongst participating devic…
Proportionally Fair approach for Tor's Circuits Scheduling
Lamiaa Basyoni, Aiman Erbad, Amr Mohamed +2
The number of users adopting Tor to protect their online privacy is increasing rapidly. With a limited number of volunteered relays in the network, the number of clients' connectio…
DistPrivacy: Privacy-Aware Distributed Deep Neural Networks in IoT surveillance systems
Emna Baccour, Aiman Erbad, Amr Mohamed +2
With the emergence of smart cities, Internet of Things (IoT) devices as well as deep learning technologies have witnessed an increasing adoption. To support the requirements of suc…
Five-Layers SDP-Based Hierarchical Security Paradigm for Multi-access Edge Computing
Jaspreet Singh, Yahuza Bello, Ahmed Refaey +1
The rise in embedded and IoT device usage comes with an increase in LTE usage as well. About 70\% of an estimated 18 billion IoT devices will be using cellular LTE networks for eff…
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…
FacebookVideoLive18: A Live Video Streaming Dataset for Streams Metadata and Online Viewers Locations
Emna Baccour, Aiman Erbad, Kashif Bilal +3
With the advancement in personal smart devices and pervasive network connectivity, users are no longer passive content consumers, but also contributors in producing new contents. T…
QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach
Fatima Haouari, Emna Baccour, Aiman Erbad +2
Driven by the tremendous technological advancement of personal devices and the prevalence of wireless mobile network accesses, the world has witnessed an explosion in crowdsourced…
Proactive Video Chunks Caching and Processing for Latency and Cost Minimization in Edge Networks
Emna Baccour, Aiman Erbad, Amr Mohamed +2
Recently, the growing demand for rich multimedia content such as Video on Demand (VoD) has made the data transmission from content delivery networks (CDN) to end-users quite challe…
Design Challenges of Multi-UAV Systems in Cyber-Physical Applications: A Comprehensive Survey, and Future Directions
Reza Shakeri, Mohammed Ali Al-Garadi, Ahmed Badawy +5
Unmanned Aerial Vehicles (UAVs) have recently rapidly grown to facilitate a wide range of innovative applications that can fundamentally change the way cyber-physical systems (CPSs…
Non-data-aided SNR Estimation for QPSK Modulation in AWGN Channel
Tara Salman, Ahmed Badawy, Tarek M. Elfouly +2
Signal-to-noise ratio (SNR) estimation is an important parameter that is required in any receiver or communication systems. It can be computed either by a pilot signal data-aided a…
Estimating the Number of Sources: An Efficient Maximization Approach
Tara Salman, Ahmed Badawy, Tarek M. Elfouly +2
Estimating the number of sources received by an antenna array have been well known and investigated since the starting of array signal processing. Accurate estimation of such param…
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security
Mohammed Ali Al-Garadi, Amr Mohamed, Abdulla Al-Ali +2
The Internet of Things (IoT) integrates billions of smart devices that can communicate with one another with minimal human intervention. It is one of the fastest developing fields…
POKs Based Secure and Energy-Efficient Access Control for Implantable Medical Devices
Chenglong Fu, Xiaojiang Du, Longfei Wu +3
Implantable medical devices (IMDs), such as pacemakers, implanted cardiac defibrillators, and neurostimulators are medical devices implanted into patients' bodies for monitoring ph…
Multimodal deep learning approach for joint EEG-EMG data compression and classification
Ahmed Ben Said, Amr Mohamed, Tarek Elfouly +2
In this paper, we present a joint compression and classification approach of EEG and EMG signals using a deep learning approach. Specifically, we build our system based on the deep…
On Realistic Target Coverage by Autonomous Drones
Ahmed Saeed, Ahmed Abdelkader, Mouhyemen Khan +3
Low-cost mini-drones with advanced sensing and maneuverability enable a new class of intelligent sensing systems. To achieve the full potential of such drones, it is necessary to d…