| Federated learning for privacy preservation in smart healthcare systems: A comprehensive survey M Ali, F Naeem, M Tariq, G Kaddoum IEEE journal of biomedical and health informatics 27 (2), 778-789, 2022 | 173 | 2022 |
| Vulnerability assessment of 6G-enabled smart grid cyber–physical systems M Tariq, M Ali, F Naeem, HV Poor IEEE internet of things journal 8 (7), 5468-5475, 2020 | 109 | 2020 |
| Experts and intelligent systems for smart homes’ Transformation to Sustainable Smart Cities: A comprehensive review NU Huda, I Ahmed, M Adnan, M Ali, F Naeem Expert Systems with Applications 238, 122380, 2024 | 96 | 2024 |
| Security and privacy for reconfigurable intelligent surface in 6G: A review of prospective applications and challenges F Naeem, M Ali, G Kaddoum, C Huang, C Yuen IEEE Open Journal of the Communications Society 4, 1196-1217, 2023 | 92 | 2023 |
| Metaverse communications, networking, security, and applications: Research issues, state-of-the-art, and future directions M Ali, F Naeem, G Kaddoum, E Hossain IEEE Communications Surveys & Tutorials 26 (2), 1238-1278, 2023 | 74 | 2023 |
| SDN-enabled energy-efficient routing optimization framework for industrial Internet of Things F Naeem, M Tariq, HV Poor IEEE Transactions on Industrial Informatics 17 (8), 5660-5667, 2020 | 73 | 2020 |
| A software defined network based fuzzy normalized neural adaptive multipath congestion control for the internet of things F Naeem, G Srivastava, M Tariq IEEE transactions on network science and engineering 7 (4), 2155-2164, 2020 | 64 | 2020 |
| Managing IoT-based smart healthcare systems traffic with software defined networks F Sallabi, F Naeem, M Awad, K Shuaib 2018 international symposium on networks, computers and communications …, 2018 | 43 | 2018 |
| A generative adversarial network enabled deep distributional reinforcement learning for transmission scheduling in internet of vehicles F Naeem, S Seifollahi, Z Zhou, M Tariq IEEE Transactions on Intelligent Transportation Systems 22 (7), 4550-4559, 2020 | 42 | 2020 |
| Federated-learning-empowered semi-supervised active learning framework for intrusion detection in zsm F Naeem, M Ali, G Kaddoum IEEE Communications Magazine 61 (2), 88-94, 2023 | 36 | 2023 |
| Integration of data driven technologies in smart grids for resilient and sustainable smart cities: A comprehensive review M Ali, F Naeem, N Adam, G Kaddoum, M Adnan, M Tariq arXiv preprint arXiv:2301.08814, 2023 | 29 | 2023 |
| IRS-empowered 6G networks: deployment strategies, performance optimization, and future research directions F Naeem, G Kaddoum, S Khan, KS Khan, N Adam IEEE Access 10, 118676-118696, 2022 | 28 | 2022 |
| Towards AI-enabled traffic management in multipath TCP: A survey SJ Siddiqi, F Naeem, S Khan, KS Khan, M Tariq Computer Communications 181, 412-427, 2022 | 25 | 2022 |
| Digital twin-empowered network slicing in B5G networks: Experience-driven approach F Naeem, G Kaddoum, M Tariq 2021 IEEE Globecom workshops (GC wkshps), 1-5, 2021 | 25 | 2021 |
| Multi-agent deep reinforcement learning for packet routing in tactical mobile sensor networks AA Okine, N Adam, F Naeem, G Kaddoum IEEE Transactions on Network and Service Management 21 (2), 2155-2169, 2024 | 16 | 2024 |
| Artificial intelligence-based fault prediction framework for WBAN M Awad, F Sallabi, K Shuaib, F Naeem Journal of King Saud University-Computer and Information Sciences 34 (9 …, 2022 | 14 | 2022 |
| Toward experience-driven traffic management and orchestration in digital-twin-enabled 6G networks M Tariq, F Naeem, HV Poor arXiv preprint arXiv:2201.04259, 2022 | 13 | 2022 |
| Joint deployment design and phase shift of IRS-assisted 6G networks: An experience-driven approach F Naeem, M Qaraqe, H Celebi IEEE Internet of Things Journal 10 (20), 17647-17655, 2023 | 9 | 2023 |
| Resource allocation for IRS-assisted networks: A deep reinforcement learning approach S Ahmad, S Khan, KS Khan, F Naeem, M Tariq IEEE Communications Standards Magazine 7 (3), 48-55, 2023 | 8 | 2023 |
| Social interest-based routing in Delay tolerant networks F Naeem, SA Mahmud, MH Zafar 2015 International Conference on Emerging Technologies (ICET), 1-5, 2015 | 6 | 2015 |
Muhammad TariqProfessor National University of Computer & Emerging Sciences and Visiting Research CollaboratorVahvistettu sähköpostiosoite verkkotunnuksessa nu.edu.pk