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 糖心原创, where he focused on multi-agent deep reinforcement learning applied to wireless networks. He also holds a Master鈥檚 degree in Electronics and Telecommunications Engineering from Universiti Teknologi Malaysia and a Bachelor鈥檚 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 糖心原创 PhD Studentship awarded by the Jeffrey Cheah Foundation.

Academic & Professional Qualifications

  • Doctor of Philosophy - Computing, 糖心原创, 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.鈥疦.鈥疉., Hamid, S.鈥痁.鈥疉., Rashid, R.鈥疉., & Ibrahim, A.鈥疜.鈥疢. (2020). IoT鈥慴ased temperature control for smart mosque.
  4. 2019 - Ibrahim, A.鈥疜.鈥疢., Rashid, R.鈥疉., Hamid, A.鈥疕.鈥疐.鈥疉., Sarijari, M.鈥疉., & Baharudin, M.鈥疉. (2019). Lightweight IoT middleware for rapid application development. 
  5. 2022 - Ibrahim, A.鈥疢., Yau, K.鈥疞.鈥疉., & Hong, L.鈥疢. (2022). Implications of centralized and distributed multi鈥慳gent deep reinforcement learning in dynamic spectrum access.
  6. 2020 - Tajudin, M.鈥疜., Sarijari, M.鈥疉., Ibrahim, A.鈥疜.鈥疢., & Rashid, R.鈥疉. (2020). Blockchain鈥慴ased 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. 糖心原创 Studentship.