Accelerated Learning-Based MIMO Detection through Weighted Neural Network Design. - Abdullahi Mohammad; Christos Masouros; Yiannis Andreopoulos (ICC, 2020)

Complexity-Scalable Neural-Network-Based MIMO Detection With Learnable Weight Scaling. - Abdullahi Mohammad; Christos Masouros; Yiannis Andreopoulos (IEEE Trans. Commun., 2020)

An Unsupervised Learning-Based Approach for Symbol-Level-Precoding. - Abdullahi Mohammad; Christos Masouros; Yiannis Andreopoulos (GLOBECOM, 2021)

Learning-Based Symbol Level Precoding: A Memory-Efficient Unsupervised Learning Approach. - Abdullahi Mohammad; Christos Masouros; Yiannis Andreopoulos (WCNC, 2022)

Maximizing Detection of Target with Multiple Direction Possibilities to Support Immersive Communications in Metaverse. - Mateen Ashraf; Anna Gaydamaka; Dmitri Moltchanov; Abdullahi Mohammad; Bo Tan 003 (ISACom@MobiSys, 2023)

Learning-Based RF Fingerprinting for Device Identification using Amplitude-Phase Spectrograms. - Abdullahi Mohammad; Mateen Ashraf; Mikko Valkama; Bo Tan 003 (VTC Fall, 2023)

An Unsupervised Deep Unfolding Framework for Robust Symbol-Level Precoding. - Abdullahi Mohammad; Christos Masouros; Yiannis Andreopoulos (IEEE Open J. Commun. Soc., 2023)

A Memory-Efficient Learning Framework for Symbol Level Precoding With Quantized NN Weights. - Abdullahi Mohammad; Christos Masouros; Yiannis Andreopoulos (IEEE Open J. Commun. Soc., 2023)

Deep SIMO Auto-Encoder and Radio Frequency Hardware Impairments Modeling for Physical Layer Security. - Abdullahi Mohammad; Mahmoud T. Kabir; Mikko Valkama; Bo Tan 003 (GLOBECOM (Workshops), 2024)