SIGHTED: A Framework for Semantic Integration of Heterogeneous Sensor Data on the Internet of Things. - Ahmad M. Nagib; Haitham S. Hamza (ANT/SEIT, 2016)

Tracking-based Cooperative Caching in VANETs for Social Networking. - Sara A. Elsayed; Sherin Abdel Hamid; Ahmad M. Nagib; Hossam S. Hassanein (LCN Workshops, 2018)

4G LTE Network Data Collection and Analysis along Public Transportation Routes. - Habiba Elsherbiny; Ahmad M. Nagib; Hatem Abou-zeid; Hazem M. Abbas; Hossam S. Hassanein; Aboelmagd Noureldin; Akram Bin Sediq; Gary Boudreau (GLOBECOM, 2020)

Deep Learning-Based Forecasting of Cellular Network Utilization at Millisecond Resolutions. - Ahmad M. Nagib; Hatem Abou-Zeid; Hossam S. Hassanein; Akram Bin Sediq; Gary Boudreau (ICC, 2021)

Transfer Learning-Based Accelerated Deep Reinforcement Learning for 5G RAN Slicing. - Ahmad M. Nagib; Hatem Abou-Zeid; Hossam S. Hassanein (LCN, 2021)

How Does Forecasting Affect the Convergence of DRL Techniques in O-RAN Slicing? - Ahmad M. Nagib; Hatem Abou-zeid; Hossam S. Hassanein (GLOBECOM, 2023)

Toward Safe and Accelerated Deep Reinforcement Learning for Next-Generation Wireless Networks. - Ahmad M. Nagib; Hatem Abou-zeid; Hossam S. Hassanein (IEEE Netw., 2023)

Accelerating Reinforcement Learning via Predictive Policy Transfer in 6G RAN Slicing. - Ahmad M. Nagib; Hatem Abou-Zeid; Hossam S. Hassanein (IEEE Trans. Netw. Serv. Manag., 2023)

Developing Trustworthy Reinforcement Learning Applications for Next-Generation Open Radio Access Networks. - Ahmad M. Nagib; Hatem Abou-zeid; Hossam S. Hassanein (CCECE, 2024)

Safe and Accelerated Deep Reinforcement Learning-Based O-RAN Slicing: A Hybrid Transfer Learning Approach. - Ahmad M. Nagib; Hatem Abou-Zeid; Hossam S. Hassanein (IEEE J. Sel. Areas Commun., 2024)

SafeSlice: Enabling SLA-Compliant O-RAN Slicing via Safe Deep Reinforcement Learning. - Ahmad M. Nagib; Hatem Abou-Zeid; Hossam S. Hassanein (CoRR, 2025)