World's Best Scientists 2026 revealed!
Amr Mohamed

Amr Mohamed

D-Index & Metrics

Computer Science

D-Index
37
Citations
7853
World Ranking
10565
National Ranking
19

Electronics and Electrical Engineering

D-Index
36
Citations
6227
World Ranking
5302
National Ranking
9

Overview

Amr Mohamed is affiliated with Qatar University in Qatar, contributing extensively to research in computer science and engineering. Their work spans multiple subfields, focusing chiefly on computer networks and communications, artificial intelligence, computer vision and pattern recognition, electrical and electronic engineering, and information systems.

Their research topics include:

  • IoT and Edge/Fog Computing
  • Privacy-Preserving Technologies in Data
  • Blockchain Technology Applications and Security
  • Caching and Content Delivery
  • Advanced MIMO Systems Optimization
  • Anomaly Detection Techniques and Applications
  • Video Surveillance and Tracking Methods

Amr Mohamed has published in a range of venues, with frequent contributions to:

  • arXiv (Cornell University)
  • Qatar University QSpace (Qatar University)
  • IEEE Internet of Things Journal
  • IEEE Access
  • IEEE Transactions on Network Science and Engineering

Recent notable papers include:

  • "A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security," 2022, Qatar University QSpace (Qatar University)
  • "Design Challenges of Multi-UAV Systems in Cyber-Physical Applications: A Comprehensive Survey and Future Directions," 2020, Qatar University QSpace (Qatar University)
  • "MEdge-Chain: Leveraging Edge Computing and Blockchain for Efficient Medical Data Exchange," 2021, IEEE Internet of Things Journal
  • "A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security," 2020, IEEE Communications Surveys & Tutorials
  • "Pervasive AI for IoT Applications: A Survey on Resource-Efficient Distributed Artificial Intelligence," 2022, IEEE Communications Surveys & Tutorials

Frequent collaborators in research include:

  • Aiman Erbad
  • Mohsen Guizani
  • Alaa Awad Abdellatif
  • Mounir Hamdi
  • Emna Baccour

Best Publications

  • A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security

    Mohammed Ali Al-Garadi;Amr Mohamed;Abdulla Khalid Al-Ali;Xiaojiang Du

  • A robust human activity recognition system using smartphone sensors and deep learning

    Mohammed Mehedi Hassan;Md. Zia Uddin;Amr Mohamed;Ahmad Almogren

  • Edge Computing for Smart Health: Context-Aware Approaches, Opportunities, and Challenges

    Alaa Awad Abdellatif;Amr Mohamed;Carla Fabiana Chiasserini;Mounira Tlili

  • RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database

    Mohamed Fathi Al-Sa'D;Mohamed Fathi Al-Sa'D;Abdulla K. Al-Ali;Amr Mohamed;Tamer Khattab

  • Design Challenges of Multi-UAV Systems in Cyber-Physical Applications: A Comprehensive Survey and Future Directions

    Reza Shakeri;Mohammed Ali Al-Garadi;Ahmed Badawy;Amr Mohamed

  • MEdge-Chain: Leveraging Edge Computing and Blockchain for Efficient Medical Data Exchange

    Alaa Awad Abdellatif;Lutfi Samara;Amr Mohamed;Aiman Erbad

  • Spatiotemporal data mining: a survey on challenges and open problems.

    Ali Hamdi;Khaled B. Shaban;Abdelkarim Erradi;Amr Mohamed

  • A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security

    Mohammed Ali Al-Garadi;Amr Mohamed;Abdulla Al-Ali;Xiaojiang Du

  • Optimal User-Edge Assignment in Hierarchical Federated Learning based on Statistical Properties and Network Topology Constraints

    Naram Mhaisen;Alaa Awad;Amr Mohamed;Aiman Erbad

  • Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data

    Alaa Awad Abdellatif;Naram Mhaisen;Amr Mohamed;Aiman Erbad

  • ssHealth: Toward Secure, Blockchain-Enabled Healthcare Systems

    Alaa Awad Abdellatif;Abeer Z. Al-Marridi;Amr Mohamed;Aiman Erbad

  • DroneRF dataset: A dataset of drones for RF-based detection, classification and identification.

    Mhd Saria Allahham;Mohammad F. Al-Sa'd;Mohammad F. Al-Sa'd;Abdulla Al-Ali;Amr Mohamed

  • Efficient ECG Compression and QRS Detection for E-Health Applications

    Mohamed Elgendi;Amr Mohamed;Rabab Ward

  • Quality-of-service mechanisms in IP-over-WDM networks

    A. Kaheel;T. Khattab;A. Mohamed;H. Alnuweiri

  • Ensemble Classifier for Epileptic Seizure Detection for Imperfect EEG Data

    Khalid Abualsaud;Massudi Mahmuddin;Mohammad Saleh;Amr Mohamed

  • A Survey of Blockchain Enabled Cyber-Physical Systems

    Heena Rathore;Amr Mohamed;Mohsen Guizani

  • Deep Learning for RF-Based Drone Detection and Identification: A Multi-Channel 1-D Convolutional Neural Networks Approach

    Mhd Saria Allahham;Tamer Khattab;Amr Mohamed

  • TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection

    Zina Chkirbene;Aiman Erbad;Ridha Hamila;Amr Mohamed

  • Performance Evaluation of Hyperledger Fabric

    Salma Shalaby;Alaa Awad Abdellatif;Abdulla Al-Ali;Amr Mohamed

  • Survey on energy harvesting wireless communications: Challenges and opportunities for radio resource allocation

    Imran Ahmed;M. Majid Butt;Constantinos Psomas;Amr Mohamed

  • Distributed Cooperative Q-Learning for Power Allocation in Cognitive Femtocell Networks

    Hussein Saad;Amr Mohamed;Tamer ElBatt

Frequent Co-Authors

Mohsen Guizani
Mohsen Guizani Mohamed bin Zayed University of Artificial Intelligence
Aiman Erbad
Aiman Erbad Hamad bin Khalifa University
Carla-Fabiana Chiasserini
Carla-Fabiana Chiasserini Polytechnic University of Turin
Khaled A. Harras
Khaled A. Harras Carnegie Mellon University
Xiaojiang Du
Xiaojiang Du Stevens Institute of Technology
Mounir Hamdi
Mounir Hamdi Hamad bin Khalifa University
Victor C. M. Leung
Victor C. M. Leung Shenzhen University
Kashif Bilal
Kashif Bilal COMSATS University Islamabad
Rabab K. Ward
Rabab K. Ward University of British Columbia
Eduard A. Jorswieck
Eduard A. Jorswieck Technische Universität Braunschweig

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