Current Research:
I am currently a PhD student at the ECE department of the University of Waterloo. My interests span Information Theory, Wireless Communications, Optimization, Machine Learning, Probability Theory and Mathematical Analysis.
My current research focuses on channel estimation and resource allocation problems in smart radio environment aided by Intelligent reflecting surfaces (IRS). In particular, developing robust (mathematical) optimization algorithms and adaptive deep learning methods for signal processing in B5G/6G wireless communications systems. Moreover, I focus on developing practical IRS configuration designs to reduce complexity, overhead, power consumption and delays in IRS-assisted systems.
Manuscripts:
M. S. Abouamer and P. Mitran, "Joint Uplink-Downlink Resource Allocation for Multiuser IRS-Assisted Systems," in IEEE Transactions on Wireless Communications, vol. 21, no. 12, pp. 10918-10933, Dec. 2022, doi: 10.1109/TWC.2022.3188240.
M. S. Abouamer and P. Mitran, "Flexible Resource Allocation in IRS-assisted Systems using Hypernetworks," 2023 IEEE Wireless Communications and Networking Conference (WCNC), Glasgow, United Kingdom, 2023, pp. 1-6, doi: 10.1109/WCNC55385.2023.10119052.
Undergraduate Research Experiences:
1- Bayesian statistics using a deep learning approach
2- Infrasound classification and generation: a deep learning approach
