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Faisal Naeem

Faisal Naeem

Assistant Professor
Industry Partnerships Chair

School of Computing

Abbotsford campus, C2452

email Faisal

Biography

Faisal Naeem is an Assistant Professor (Tenure-Track) in the School of Computing at the University of Fraser Valley, with a focus on the integration of artificial intelligent (AI) techniques to optimize 6G networks. His expertise includes Reinforcement Learning, Generative AI, Federated Learning, Large Language Models (LLMs), and Software-Defined Networking aimed at addressing critical challenges such as resource management, network security, and performance optimization in future communication systems. His research delivers state-of-the-art solutions that contribute to the evolution of next-generation network technologies.

Faisal has substantial experience across both academic and industry settings. He spent one year as a Postdoctoral Research Fellow at École de Technologie Supérieure (ETS), supported by MITACS funding, where he collaborated with ULTRA TCS on developing AI-driven frameworks for threat detection in underwater networks and distributed AI systems to enhance 6G network performance. Subsequently, he worked as a Senior AI Research Engineer at the Resilient Machine Learning Institute (ReMI) at ETS, where he focused on developing AI-based solutions for complex wireless communication challenges. His research has been published in leading journals such as IEEE Communications Surveys and Tutorials, IEEE Transactions on Industrial Informatics, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Intelligent Transportation Systems, and IEEE Communications Magazine. He has also collaborated with top academic institutions, including ETS and the National University of Singapore, contributing to advancements in AI for 6G network systems.

Education

PhD, (Electrical Engineering), National University of Computer and Emerging Sciences, Pakistan, 2021.

MSc., (Electrical Engineering), University of Engineering and Technology, Pakistan, 2015.

BSc (Telecommunication Engineering), National University of Computer and Emerging Sciences, Pakistan, 2012.

Memberships

Member, IEEE

IEEE Transactions on Industrial Informatics.

IEEE Internet of Things.

IEEE Transactions on Intelligent Transportation systems.

IEEE Communications Magazine.

IEEE Globecom.

Research Interests

6G: Artificial Intelligence (Generative-AI, LLMs, Reinforcement Learning, Federated Learning), Intelligent Reflecting Surfaces, Digital Twin and Software-Defined Networking

Publications

Journals:

  1. Faisal Naeem, Mansoor Ali, Georges Kaddoum. "Federated Learning-Empowered Semi-Supervised Active Learning Framework for Intrusion Detection in ZSM".in IEEE Communication Magazine,2023 (Q1, Impact Factor: 11)
  2. Faisal Naeem, Mansoor Ali, Georges Kaddoum, Chau Yuen, Chongwen Huang. "Security and Privacy for Reconfigurable Intelligent Surface in 6G: A Survey on Prospective Applications and Challenges",2023. in IEEE Open Journal of the Communications Society. (Q1, Impact Factor: 6)
  3. Mansoor Ali, Faisal Naeem, Georges Kaddoum, Ekram Hossain, Metaverse    Communications, Networking, Security, and Applications: Research Issues, State-of-the-Art, and Future Directions. 2022 in IEEE Communications Surveys and Tutorials. (Q1, Impact Factor: 33.84)
  4. Faisal Naeem, Marwa Qaraqe, and Hasari Celebi. "Joint Deployment Design and Phase-Shift of IRS-assisted 6G networks: An Experience-Driven Approach". 2023 in IEEE Internet of Things. (Q1, Impact Factor: 10)
  5. Faisal Naeem, Georges Kaddoum, S.Khan, Khan, K. S. Khan and Adam Nadir. "IRS-Empowered 6G Networks: Deployment strategies, performance optimization, and future research directions". 2022 .in IEEE Access (Q1, Impact Factor: 3.47)
  6. Mansoor Ali, Faisal Naeem, Muhammad Tariq, and Georges Kaddoum, (2022). Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey. in IEEE Journal of Biomedical and Health Informatics. 2022 (Q1, Impact Factor: 5.772) arXiv preprint arXiv:2203.09702.
  7. Naeem, G. Srivastava and M. Tariq,. A Software Defined Network Based Fuzzy Normalized Neural Adaptive Multipath Congestion Control for the Internet of Things. IEEE Transactions on Network Science and Engineering, 7(4), 2020, 2155- 2164. (Q1, Impact Factor: 5.213)
  8. Naeem, M. Tariq, and H. V. Poor "SDN-enabled Energy-Efficient Routing Optimization Framework for Industrial Internet of Things", 2020, in IEEE Transactions on Industrial Informatics, (Q1,Impact Factor: 9.1)
  9. Naeem, S.Seifollahi, Z.Zhou, and M.Tariq " A Generative Adversarial Network Enabled Deep Distributional Reinforcement Learning for Transmission Scheduling in Internet of Vehicles" 2020 in IEEE Transactions on Intelligent Transportation Systems. (Q1, Impact Factor: 6.319)
  10. Siddiqi, F.Naeem, S.Khan, S. Khan, M.Tariq. "Towards AI-enabled Traffic Management in Multipath TCP: A Survey". 2021, accepted in Elsevier, Computer Networks. (Q1, Impact Factor: 4.474)
  11. Awad, F. Sallabi, K. Shuaib, F.Naeem. Artificial Intelligence-Based Fault Prediction Framework for WBAN, 2021, Journal of King Saud University-Computer and Information Sciences. (Q1, Impact Factor: 13.473)
  12. Tariq, M. Ali, F. Naeem, and H.V. Poor, "Vulnerability Assessment of 6G-enabled Cyber Physical Systems", 2020 in IEEE Internet of Things Journal. (Q1, Impact Factor: 10)

 

Conference Publications

  1. Faisal Naeem. Nadir Adam, Georges Kaddoum, Omer Waqar. " MAC Design via Cooperative Multi-agent Deep Reinforcement Learning for Heterogeneous Wireless Networks." 2024 in Flagship conference: IEEE Wireless Communication and Networking Conference.
  2. Naeem, Georges Kaddoum, and M.Tariq " Digital Twin-empowered Network Slicing in B5G Networks: Experience-driven approach", 2021. in Flagship conference: IEEE Globecom Workshop.
  3. Sallabi, F. Naeem, M. Awad and K. Shuaib, "Managing IoT-Based Smart Healthcare Systems Traffic with Software Defined Networks," 2018 International Symposium on Networks, Computers and Communications (ISNCC), Rome, 2018, pp. 1-6.

Community Engagement

Academic Collaborations:

  1. École de Technologie Supérieure (ETS), Montreal
  2. National University of Singapore

Projects: 

  1. Federated Learning for underwater networks, École de technologie supérieure, Canada.
  2. Radio Resource Management for Underwater IoT networks, École de technologie supérieure, Canada.
  3. Intelligent Public Safety Platform for Smart Cities, Hamad Bin Khalifa University, Qatar.
  4. Internet of Things Network Management for Smart Healthcare Systems using SDN approach. UAE University,

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