Deep Reinforcement Learning in Lane Merge Coordination for Connected Vehicles. - Omar Nassef; Luis Sequeira; Elias Salam; Toktam Mahmoodi (PIMRC, 2020)

Building a Lane Merge Coordination for Connected Vehicles Using Deep Reinforcement Learning. - Omar Nassef; Luis Sequeira; Elias Salam; Toktam Mahmoodi (IEEE Internet Things J., 2021)

Optimising Performance for NB-IoT UE Devices through Data Driven Models. - Omar Nassef; Toktam Mahmoodi; Foivos Michelinakis; Kashif Mahmood; Ahmed Elmokashfi (J. Sens. Actuator Networks, 2021)

Graph Neural Network based Root Cause Analysis Using Multivariate Time-series KPIs for Wireless Networks. - Chia-Cheng Yen; Wenting Sun; Hakimeh Purmehdi; Won Park; Kunal Rajan Deshmukh; Nishank Thakrar; Omar Nassef; Adam Jacobs (NOMS, 2022)

A survey: Distributed Machine Learning for 5G and beyond. - Omar Nassef; Wenting Sun; Hakimeh Purmehdi; Mallik Tatipamula; Toktam Mahmoodi (Comput. Networks, 2022)

Dynamic Reliability: Reliably Sending Unreliable Data. - Omar Nassef; Federico Chiariotti; Stephen H. Johnson; Toktam Mahmoodi (ICC Workshops, 2023)

Multipath Encrypted Traffic Classification at the Transport Layer for Dynamic Reliability. - Omar Nassef; Stephen H. Johnson; Toktam Mahmoodi (WCNC, 2024)

Per-Packet Partial Reliability at the Transport Layer for Multipath Networks. - Omar Nassef; Stephen H. Johnson; Toktam Mahmoodi (IEEE Commun. Mag., 2024)

DRel: Dynamically Assigning Per-Packet Reliability at the Transport Layer. - Omar Nassef; Toktam Mahmoodi; Federico Chiariotti; Stephen H. Johnson (IEEE Trans. Netw. Serv. Manag., 2025)