| A survey: Distributed Machine Learning for 5G and beyond O Nassef, W Sun, H Purmehdi, M Tatipamula, T Mahmoodi Computer Networks 207, 108820, 2022 | 54 | 2022 |
| Building a lane merge coordination for connected vehicles using deep reinforcement learning O Nassef, L Sequeira, E Salam, T Mahmoodi IEEE Internet of Things Journal 8 (4), 2540-2557, 2020 | 34 | 2020 |
| Graph neural network based root cause analysis using multivariate time-series kpis for wireless networks CC Yen, W Sun, H Purmehdi, W Park, KR Deshmukh, N Thakrar, ... NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, 1-7, 2022 | 9 | 2022 |
| Deep reinforcement learning in lane merge coordination for connected vehicles O Nassef, L Sequeira, E Salam, T Mahmoodi 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile …, 2020 | 6 | 2020 |
| Optimising Performance for NB-IoT UE Devices through Data Driven Models O Nassef, T Mahmoodi, F Michelinakis, K Mahmood, A Elmokashfi Journal of Sensor and Actuator Networks 10 (1), 21, 2021 | 1 | 2021 |
| Performance Evaluation of Core-Less Mesh Mobile IAB Network Architecture for 6G xURLLC O Nassef, T Mahmoodi, S Pal, S Sarkar, S Mishra, A Goes, M Araujo, ... European Wireless 2023; 28th European Wireless Conference, 273-279, 2023 | | 2023 |
| Per-Packet Partial Reliability at the Transport Layer for Multipath Networks O Nassef, S Johnson, T Mahmoodi IEEE Communications Magazine, 2023 | | 2023 |
| Dynamic Reliability: Reliably Sending Unreliable Data O Nassef, F Chiariotti, S Johnson, T Mahmoodi 2023 IEEE International Conference on Communications Workshops (ICC …, 2023 | | 2023 |
