MMRL: A Multi-Modal Reinforcement Learning Technique for Energy-efficient Medical IoT Systems. - Amr Abo-eleneen; Amr Mohamed 001 (IWCMC, 2021)

RLENS: RL-based Energy-Efficient Network Selection Framework for IoMT. - Amr Abo-eleneen; Alaa Awad Abdellatif; Amr Mohamed 001; Aiman Erbad (WTS, 2022)

Intelligent-Slicing: An AI-Assisted Network Slicing Framework for 5G-and-Beyond Networks. - Alaa Awad Abdellatif; Amr Abo-eleneen; Amr Mohamed 001; Aiman Erbad; Nikhil V. Navkar; Mohsen Guizani (IEEE Trans. Netw. Serv. Manag., 2023)

The role of Reinforcement Learning in software testing. - Amr Abo-eleneen; Ahammed Palliyali; Cagatay Catal (Inf. Softw. Technol., 2023)

DRL-APNS: A Deep Reinforcement Learning-Powered Framework for Accurate Predictive Network Slicing Allocation. - Amr Abo-eleneen; Alaa Awad Abdellatif; Aiman Erbad; Amr Mohamed 001 (CCNC, 2024)

Learn to Slice, Slice to Learn: Unveiling Online Optimization and Reinforcement Learning for Slicing AI Services. - Amr Abo-eleneen; Menna Helmy; Alaa Awad Abdellatif; Aiman Erbad; Amr Mohamed 001; Mohamed M. Abdallah 001 (CoRR, 2024)