Combining Machine Learning and Classical Optimization Techniques in Vehicle to Vehicle Communication Network. - Mutasem Q. Hamdan; Khairi Hamdi (IDEAL (1), 2019)

Variational Auto-encoders application in wireless Vehicle-to-Everything communications. - Mutasem Q. Hamdan; Khairi A. Hamdi (VTC Spring, 2020)

End-to-End Deep Learning IRS-assisted Communications Systems. - Mohamad A. Alawad; Mutasem Q. Hamdan; Khairi A. Hamdi (VTC Fall, 2021)

A Decoupled Access Scheme With Reinforcement Learning Power Control for Cellular-Enabled UAVs. - Yao Shi 002; Mutasem Q. Hamdan; Emad Alsusa; Khairi A. Hamdi; Mohammed W. Baidas (IEEE Internet Things J., 2021)

A New Approach for an End-to-end Communication System Using Variational Auto-encoder (VAE). - Mohamad A. Alawad; Mutasem Q. Hamdan; Khairi A. Hamdi; Chuan Heng Foh; Atta ul Quddus (GLOBECOM, 2022)

Using Real-Time Kinematics Algorithm in Mission Critical Communication for Accurate Positioning and Time Correction over 5G and Beyond Networks. - Mutasem Q. Hamdan; Chuan Heng Foh; Atta ul Quddus; Stephen Hancock; Oliver Holland; Richard Woodling (VTC Spring, 2022)

When Federated Learning and Mobile Intelligent Reflecting Surfaces Assist V2V Communications. - Mutasem Q. Hamdan; Khairi A. Hamdi (VTC Spring, 2022)

Innovative Variational AutoEncoder for an End-to-End Communication System. - Mohamad A. Alawad; Mutasem Q. Hamdan; Khairi A. Hamdi (IEEE Access, 2023)

Recent Advances in Machine Learning for Network Automation in the O-RAN. - Mutasem Q. Hamdan; Haeyoung Lee; Dionysia Triantafyllopoulou; Rúben Borralho; Abdulkadir Kose; Esmaeil Amiri; David Mulvey; Wenjuan Yu 001; Rafik Zitouni; Riccardo Pozza; Bernie Hunt; Hamidreza Bagheri; et al. (Sensors, 2023)

Deep Reinforcement Learning for Robust VNF Reconfigurations in O-RAN. - Esmaeil Amiri; Ning Wang 001; Mohammad Shojafar; Mutasem Q. Hamdan; Chuan Heng Foh; Rahim Tafazolli (IEEE Trans. Netw. Serv. Manag., 2024)