On the Use of Graph Neural Networks for Virtual Network Embedding. - Anouar Rkhami; Pham Tran Anh Quang; Yassine Hadjadj-Aoul; Abdelkader Outtagarts; Gerardo Rubino (ISNCC, 2020)

Learn to improve: A novel deep reinforcement learning approach for beyond 5G network slicing. - Anouar Rkhami; Yassine Hadjadj-Aoul; Abdelkader Outtagarts (CCNC, 2021)

On the use of machine learning and network tomography for network slices monitoring. - Anouar Rkhami; Yassine Hadjadj-Aoul; Gerardo Rubino; Abdelkader Outtagarts (HPSR, 2021)

MonGNN: A neuroevolutionary-based solution for 5G network slices monitoring. - Anouar Rkhami; Yassine Hadjadj-Aoul; Gerardo Rubino; Abdelkader Outtagarts (LCN, 2021)

From servies placement to services monitoring in 5G and post-5G networks. (Du placement des services à la surveillance des services dans les réseaux 5G et post-5G). - Anouar Rkhami (2021)

A Robust Monte-Carlo-Based Deep Learning Strategy for Virtual Network Embedding. - Ghina Dandachi; Anouar Rkhami; Yassine Hadjadj-Aoul; Abdelkader Outtagarts (LCN, 2022)