Dr. Muhammad Fawad Khan

fawad.khan@giki.edu.pk
Office: S-03, New Academic Block

Dr. Muhammad Fawad Khan

Assistant Professor

Qualifications: 

PhD in Computer Science and Engineering from Kyungpook National University, South Korea (2025)

 

Research Interests:

Reinforcement Learning, Wireless Communications, IoT, Physical Layer Security, Intelligent Reflecting Surfaces and Cybersecurity.

Research and Publications

Journal:

  1. Khan, Muhammad Fawad, et al. “DRL-Driven Localization With AAV in Near- Field Communications.” IEEE Internet of Things Journal (2025). [IF: 8.9]
  2. Khan, Muhammad Fawad, Limei Peng, and Pin-Han Ho. “DRL-based joint optimization for 3D-oriented multi-IRS communication systems.” Computers and Electrical Engineering 114 (2024): 109072. [IF: 4.9]
  3. Mei, Haoran, Muhammad Fawad Khan, Limei Peng, Byungchul Tak, Jiyeon Lee, and Pin-Han Ho. “Data-similarity-based IoT node selection for UAV trajectory optimization.” Computers and Electrical Engineering 112 (2023): 108994. [IF: 4.9]

  4. Khan, Muhammad Fawad, et al. “A review of big data resource management: Using smart grid systems as a case study.” Wireless Communications and Mobile Computing 2021.1 (2021): 3740476.

Conference:

  1. Khan, Muhammad Fawad, et al. “Multi-RIS deployment for high data-rate communications.” 2022 International Conference on Networking and Network Applications (NaNA). IEEE, 2022.
  2. Li, Kaixin, Ke Zhao, Muhammad Fawad Khan, Pin-Han Ho, and Limei Peng. “UAV- mounted intelligent reflecting surface (IRS) MISO communications.” In 2022 International Conference on Networking and Network Applications (NaNA), pp. 62-66. IEEE, 2022.
  3. Khan, Muhammad Fawad, and Limei Peng. “Energy-efficient UAV Trajectory Planning Based On Flexible Data Rate.” 2021 International Conference on Networking and Network Applications (NaNA). IEEE, 2021.