Dr Abdikarim Mohamed Ibrahim

Dr Abdikarim Mohamed Ibrahim

  • Post-Doctoral Research Fellow
  • School of Engineering
Faculty of Engineering and Technology
SDGs Focus

Biography

Dr Abdikarim holds a PhD in Computing from ºìÐÓÊÓƵ University, where he focused on multi-agent deep reinforcement learning applied to wireless networks. He also holds a Master’s degree in Electronics and Telecommunications Engineering from Universiti Teknologi Malaysia and a Bachelor’s degree in Communication Engineering from the Academy of Engineering Sciences in Sudan. His research interests centre on applied AI for wireless communication systems, and he is currently working on non-terrestrial networks to support the development of 6G technologies. He is the recipient of the prestigious ºìÐÓÊÓƵ University PhD Studentship awarded by the Jeffrey Cheah Foundation.

Academic & Professional Qualifications

  • Doctor of Philosophy - Computing, ºìÐÓÊÓƵ University, Malaysia (2024)
  • Master of Engineering - Electronics and Telecommunication, Universiti Teknologi Malaysia, (2019)
  • Bachelor of Engineering - Communication Engineering, Academy of Engineering Science, (2016)

Research Interests

  • Next-generation wireless communications
  • Applied Artificial Intelligence
  • Non-terrestrial networks
  • Mobile communication

Notable Publications

  1. 2021 - Ibrahim, A. M., Yau, K. L. A., Chong, Y. W., & Wu, C. (2021). Applications of multi-agent deep reinforcement learning: Models and algorithms. Applied Sciences, 11(22), 10870.
  2. 2023 - Ibrahim, A. M., Ling, M. H., & Yau, K. L. A. (2023, October). Multi-Agent Deep Reinforcement Learning for Resource Allocation in 5G and 6G Networks. In 2023 IEEE International Conference on Computing (ICOCO) (pp. 225-231). IEEE. 
  3. 2020 - Yusarelan, M. N. A., Hamid, S. Z. A., Rashid, R. A., & Ibrahim, A. K. M. (2020). IoT‑based temperature control for smart mosque.
  4. 2019 - Ibrahim, A. K. M., Rashid, R. A., Hamid, A. H. F. A., Sarijari, M. A., & Baharudin, M. A. (2019). Lightweight IoT middleware for rapid application development. 
  5. 2022 - Ibrahim, A. M., Yau, K. L. A., & Hong, L. M. (2022). Implications of centralized and distributed multi‑agent deep reinforcement learning in dynamic spectrum access.
  6. 2020 - Tajudin, M. K., Sarijari, M. A., Ibrahim, A. K. M., & Rashid, R. A. (2020). Blockchain‑based Internet of Things for smart river monitoring system.

Achievements & Accolades

Awards:

  1. Best paper award at the 2022 IEEE 6th International Symposium on Telecommunication Technologies (ISTT2022).
  2. ºìÐÓÊÓƵ University Studentship.