Visiting Student Research Program under the supervision of Professor Tareq Al-Naffouri ,Research Intern at King Abdullah University of Science and Technology (KAUST)

Research Interests

  • Wireless communication.
  • Signal processing.
  • Biomedical signal processing.
  • Indoor localization .
  • Machine learning 

Education

Master of Engineering (MEng)
Electrical Engineering, University of British Columbia (UBC), Canada, 2023
Bachelor of Engineering (B.Eng.)
Electrical Engineering, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, 2021

Quote

I have found KAUST to be a beacon of knowledge and inspiration, a meeting point for all those who are interested in furthering our physical and mathematical understanding of the world. Machine learning is becoming more and more important with applications to a wide variety of fields.

Selected Publications

  • Zayat, A. ., Hasabelnaby, M. A., Obeed, M. ., & Chaaban, A. . (2023). Transformer Masked Autoencoders for Next-Generation Wireless Communications: Architecture and Opportunities. IEEE Communications Magazine ( Volume: 62, Issue: 7, July 2024).
  • Zayat, A. ., Obeed, M. ., & Chaaban, A. . (2022). Diversion Detection in Small-Diameter HDPE Pipes Using Guided Waves and Deep Learning. MDPI.
  • Alsharif, M. H., Ahmed, M. ., Felemban, A. ., Zayat, A. ., Muqaibel, A. H., Masood, M. ., & Al-Naffouri, T. Y. (2021). Robust 2d Indoor Positioning Algorithm in the Presence of Non-Line-of-Sight Signals. 2020 28th European Signal Processing Conference (EUSIPCO). Presented at the. Amsterdam, Netherlands: IEEE.