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Bassem Mokhtar

Assistant Professor

 https://orcid.org/0000-0002-7138-4721
20082026

Research activity per year

Personal profile

Publications

    • G. Afifi and B. Mokhtar, "Vehicular-Computational Resource Geofencing: Efficient Spatiotemporal Uncertainty Estimation," in IEEE Access, vol. 13, pp. 43653-43665, 2025, doi: 10.1109/ACCESS.2025.3547358.
    • B. Mokhtar, "AI-Enabled Collaborative Distributed Computing in Networked UAVs," in IEEE Access, vol. 12, pp. 96515-96526, 2024, doi: 10.1109/ACCESS.2024.3425523.
    • Ibrahim and B. Mokhtar, "What If VEC Is Moving: Probabilistic Model of Task Execution Through Offloading in Vehicular Computing Environments," in IEEE Access, vol. 12, pp. 170889-170897, 2024, doi: 10.1109/ACCESS.2024.3476679.
    • Ibrahim, A. Elsheikh, B. Mokhtar and J. Prat, "Clustering-Driven Optimization of RRH-BBU Assignment for Green Communication Networks With Big Data Analytics," in IEEE Access, vol. 12, pp. 177080-177092, 2024, doi: 10.1109/ACCESS.2024.3506434.
    • N. Tadros, N. Shehata, and B. Mokhtar, “Unsupervised Learning-Based WSN Clustering for Efficient Environmental Pollution Monitoring,” Sensors, vol. 23, no. 12, p. 5733, Jun. 2023, doi: 10.3390/s23125733.
    • Ignatious, H.A.; El-Sayed, H.; Khan, M.A.; Mokhtar, B.M. Analyzing Factors Influencing Situation Awareness in Autonomous Vehicles—A Survey. Sensors 2023, 23, 4075. https://doi.org/10.3390/s23084075
    • Mokhtar, I. Kandas, M. Gamal, N. Omran, A. H. Hassanin, and N. Shehata, “Nano-Enriched Self-Powered Wireless Body Area Network for Sustainable Health Monitoring Services,” Sensors, vol. 23, no. 5, p. 2633, Feb. 2023, doi: 10.3390/s23052633.
    • Gad, E. Gad, K. Cengiz, Z. Fadlullah, B. Mokhtar, “Deep Learning-Based Context-Aware Video Content Analysis on IoT Devices”, MDPI Electronics 2022, 11, 1785. https://doi.org/10.3390/electronics11111785
    • Ismail, M. E. Gad and B. Mokhtar, "Integrated VLC/RF Wireless Technologies for Reliable Content Caching System in Vehicular Networks," in IEEE Access, vol. 9, pp. 51855-51864, 2021, doi: 10.1109/ACCESS.2021.3070397.
    • Tadros, B. Mokhtar, and M. Rizk, “Software Defined Network based Management for Enhanced 5G Network Services”, IEEE Access, vol. 8, pp. 53997-54008, 2020, doi: 10.1109/ACCESS.2020.2980392.
    • N. Tadros, B. Mokhtar, and M. R. M. Rizk, Software Defined Network-based Management Architecture for 5G Network, in AI/ML in Smart Communication, 5G and Beyond, Springer, 2022.
    • Chigu, A. El-Mahdy, B. Mokhtar and M. Elsabrouty, "A Low-Latency Edge-Cloud Serverless Computing Framework with a Multi-Armed Bandit Scheduler," 2024 International Wireless Communications and Mobile Computing (IWCMC), Ayia Napa, Cyprus, 2024, pp. 1655-1660, doi: 10.1109/IWCMC61514.2024.10592558.
    • E. Alashkar, B. Mokhtar and T. Ismail, "Securing Vehicular Ad-Hoc Networks: Detection and Identification Algorithm of MITM Attacks," 2024 14th International Conference on Electrical Engineering (ICEENG), Cairo, Egypt, 2024, pp. 335-339, doi: 10.1109/ICEENG58856.2024.10566449.
    • W. Nomeir and B. Mokhtar, "Towards a Comprehensive Model for the Study of Computer Networks Performance using Information Theory," 2022 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC), Alexandria, Egypt, 2022, pp. 104-108, doi: 10.1109/JAC-ECC56395.2022.10043897.
    • A. Afify, C. Tadros, K. Cengiz, B. Mokhtar, “Full Connectivity Driven K-LEACH Algorithm for Efficient Data Forwarding in IoT Networks”, 5th International Conference on Innovative Computing and Communication (ICICC) 19-20th February, 2022.
    • Barakat, N. Magdy, M. El-Shimy, B. Mokhtar, “A Probabilistic City Model Generation for Application in Internet of Vehicles Technology”, 5th IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT), Dubai,13-16 December 2021.
    • A. Afify and B. Mokhtar, “Machine Learning-Based Services Provisioning for Intelligent Internet of Vehicles”, IEEE 7th World Forum on Internet of Things, 14 June-31 July 2021 New Orleans, Louisiana, USA.
    • Tadros, M. Gad, B. Mokhtar, M. El Shimy, “Vehicular Edge of Thing Computing for Sustainable Smart IoT Services”, IEEE 7th World Forum on Internet of Things, 14 June-31 July 2021 New Orleans, Louisiana, USA.
    • G. Gad, E. Gad, B. Mokhtar, “Towards Optimized IoT-Based Context-Aware Video Content Analysis Framework” IEEE 7th World Forum on Internet of Things, 14 June-31 July 2021 New Orleans, Louisiana, USA.

Education/Academic qualification

Computer Engineering, Doctor of Philosophy, Biologically-Inspired Network. Memory System for Smarter Networking

Award Date: May 17 2014

Research interests

  • Machine Learning-based Networking Operations
  • Semantic-driven Networking Operations
  • Autonomous Network Management
  • Context-aware Networking
  • Edge of Things Computing
  • Embedded Machine Learning

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