Current (PhD) Research:
I am a PhD candidate at the ECE department of the University of Waterloo. My interests span wireless communications, information theory, optimization, and learning.
My current research focuses on channel estimation and resource allocation problems in smart radio environment aided by reconfigurable Intelligent surfaces (RIS). In particular, developing robust (mathematical) optimization algorithms and adaptive deep learning methods for signal processing in B5G/6G wireless communications systems.
Manuscripts:
[1] 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.
[2] 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.
[3] M. S. Abouamer and P. Mitran, "Practical Configuration of a Discrete RIS with Phase-dependent Amplitude Response," in IEEE Communications Letters, doi: 10.1109/LCOMM.2024.3468872.
Previous Research Experiences:
[1] Bayesian statistics using a deep learning approach
[2] Infrasound classification and generation: a deep learning approach
