Self-Powered IoT-Enabled Water Monitoring System. - Naram Mhaisen; Omran Abazeed; Youssef Al Hariri; Abdullah Alsalemi; Osama Halabi (ICCA, 2018)

Real-Time Scheduling for Electric Vehicles Charging/Discharging Using Reinforcement Learning. - Naram Mhaisen; Noora Fetais; Ahmed M. Massoud (ICIoT, 2020)

Data Consistency in Multi-Cloud Storage Systems With Passive Servers and Non-Communicating Clients. - Naram Mhaisen; Qutaibah M. Malluhi (IEEE Access, 2020)

Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data. - Naram Mhaisen; Alaa Awad; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (CoRR, 2020)

To chain or not to chain: A reinforcement learning approach for blockchain-enabled IoT monitoring applications. - Naram Mhaisen; Noora Fetais; Aiman Erbad; Amr Mohamed 001; Mohsen Guizani (Future Gener. Comput. Syst., 2020)

Rational Contracts: Data-driven Service Provisioning in Blockchain-powered Systems. - Naram Mhaisen; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (ICC, 2021)

Pervasive AI for IoT Applications: Resource-efficient Distributed Artificial Intelligence. - Emna Baccour; Naram Mhaisen; Alaa Awad Abdellatif; Aiman Erbad; Amr Mohamed 001; Mounir Hamdi; Mohsen Guizani (CoRR, 2021)

Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey. - Alaa Awad Abdellatif; Naram Mhaisen; Zina Chkirbene; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (CoRR, 2021)

Optimistic No-regret Algorithms for Discrete Caching. - Naram Mhaisen; Abhishek Sinha; Georgios S. Paschos; George Iosifidis (Proc. ACM Meas. Anal. Comput. Syst., 2021)

Online Caching with Optimistic Learning. - Naram Mhaisen; George Iosifidis; Douglas J. Leith (IFIP Networking, 2022)

Pervasive AI for IoT Applications: A Survey on Resource-Efficient Distributed Artificial Intelligence. - Emna Baccour; Naram Mhaisen; Alaa Awad Abdellatif; Aiman Erbad; Amr Mohamed 001; Mounir Hamdi; Mohsen Guizani (IEEE Commun. Surv. Tutorials, 2022)

Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in EdgeIoT. - Jingjing Zheng; Kai Li 002; Naram Mhaisen; Wei Ni 001; Eduardo Tovar; Mohsen Guizani (CoRR, 2022)

Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data. - Alaa Awad Abdellatif; Naram Mhaisen; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani; Zaher Dawy; Wassim Nasreddine (Future Gener. Comput. Syst., 2022)

Exploring Deep-Reinforcement-Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT. - Jingjing Zheng; Kai Li 002; Naram Mhaisen; Wei Ni 001; Eduardo Tovar; Mohsen Guizani (IEEE Internet Things J., 2022)

Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous Multi-RAT Networks. - Mhd Saria Allahham; Alaa Awad Abdellatif; Naram Mhaisen; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (IEEE Trans. Cogn. Commun. Netw., 2022)

Optimal User-Edge Assignment in Hierarchical Federated Learning Based on Statistical Properties and Network Topology Constraints. - Naram Mhaisen; Alaa Awad Abdellatif; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (IEEE Trans. Netw. Sci. Eng., 2022)

On Designing Smart Agents for Service Provisioning in Blockchain-Powered Systems. - Naram Mhaisen; Mhd Saria Allahham; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (IEEE Trans. Netw. Sci. Eng., 2022)

Federated Learning for Online Resource Allocation in Mobile Edge Computing: A Deep Reinforcement Learning Approach. - Jingjing Zheng; Kai Li 002; Naram Mhaisen; Wei Ni 001; Eduardo Tovar; Mohsen Guizani (WCNC, 2023)

Reinforcement Learning for Intelligent Healthcare Systems: A Review of Challenges, Applications, and Open Research Issues. - Alaa Awad Abdellatif; Naram Mhaisen; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (IEEE Internet Things J., 2023)

An Online Learning Framework for UAV Target Search Missions in Non-Stationary Environments. - Noor Khial; Naram Mhaisen; Mohamed Mabrok; Amr Mohamed 001 (CCECE, 2024)

Optimistic Online Non-stochastic Control via FTRL. - Naram Mhaisen; George Iosifidis (CDC, 2024)

Adaptive online non-stochastic control. - Naram Mhaisen; George Iosifidis (L4DC, 2024)

Slicing for AI: An Online Learning Framework for Network Slicing Supporting AI Services. - Menna Helmy; Alaa Awad Abdellatif; Naram Mhaisen; Amr Mohamed 001; Aiman Erbad (CoRR, 2024)

Online Caching With no Regret: Optimistic Learning via Recommendations. - Naram Mhaisen; George Iosifidis; Douglas J. Leith (IEEE Trans. Mob. Comput., 2024)

An online learning framework for UAV search mission in adversarial environments. - Noor Khial; Naram Mhaisen; Mohamed Abdalla Mabrok; Amr Mohamed 001 (Expert Syst. Appl., 2025)

Optimistic Learning for Communication Networks. - George Iosifidis; Naram Mhaisen; Douglas J. Leith (CoRR, 2025)

On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning. - Naram Mhaisen; George Iosifidis (CoRR, 2025)