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Faisal Naeem
Faisal Naeem
Limited Term Appointment (Instructor) University of Fraser Valley
Verified email at nu.edu.pk
Title
Cited by
Cited by
Year
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
822020
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
772022
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
572020
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
562020
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
372018
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
322020
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, 2023
292023
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
222024
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, 2023
192023
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
172022
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
162023
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
162021
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
132022
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
92022
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
82023
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
62022
Social interest-based routing in Delay tolerant networks
F Naeem, SA Mahmud, MH Zafar
2015 International Conference on Emerging Technologies (ICET), 1-5, 2015
62015
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, 2023
42023
Enhanced buffer management scheme to avoid congestion in delay tolerant social network
MR Majeed, F Naeem, A Salam, WU Khan, S Irfanullah
2018 IEEE 21st International Multi-Topic Conference (INMIC), 1-7, 2018
42018
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
22023
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