Naram Mhaisen

Orcid: 0000-0003-0211-2666

According to our database1, Naram Mhaisen authored at least 30 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Partially Lazy Gradient Descent for Smoothed Online Learning.
CoRR, January, 2026

DRONE-RL: Dynamic reinforcement learning for online navigation of UAVs in evolving environments.
Knowl. Based Syst., 2026

2025
Slicing for AI: An Online Learning Framework for Network Slicing Supporting AI Services.
IEEE Trans. Netw. Serv. Manag., December, 2025

Optimistic Learning for Communication Networks.
CoRR, April, 2025

An online learning framework for UAV search mission in adversarial environments.
Expert Syst. Appl., 2025

On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Multi-Target Path Planning with Probabilistic Detection in Cluttered Environments.
Proceedings of the IEEE International Conference on Communications, 2025

2024
Online Caching With no Regret: Optimistic Learning via Recommendations.
IEEE Trans. Mob. Comput., May, 2024

Adaptive online non-stochastic control.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Optimistic Online Non-stochastic Control via FTRL.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

An Online Learning Framework for UAV Target Search Missions in Non-Stationary Environments.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2024

2023
Reinforcement Learning for Intelligent Healthcare Systems: A Review of Challenges, Applications, and Open Research Issues.
IEEE Internet Things J., 2023

Federated Learning for Online Resource Allocation in Mobile Edge Computing: A Deep Reinforcement Learning Approach.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Optimistic No-regret Algorithms for Discrete Caching.
Proceedings of the Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2023

2022
On Designing Smart Agents for Service Provisioning in Blockchain-Powered Systems.
IEEE Trans. Netw. Sci. Eng., 2022

Optimal User-Edge Assignment in Hierarchical Federated Learning Based on Statistical Properties and Network Topology Constraints.
IEEE Trans. Netw. Sci. Eng., 2022

Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous Multi-RAT Networks.
IEEE Trans. Cogn. Commun. Netw., 2022

Exploring Deep-Reinforcement-Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT.
IEEE Internet Things J., 2022

Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data.
Future Gener. Comput. Syst., 2022

Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in EdgeIoT.
CoRR, 2022

Pervasive AI for IoT Applications: A Survey on Resource-Efficient Distributed Artificial Intelligence.
IEEE Commun. Surv. Tutorials, 2022

Online Caching with Optimistic Learning.
Proceedings of the IFIP Networking Conference, 2022

2021
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey.
CoRR, 2021

Pervasive AI for IoT Applications: Resource-efficient Distributed Artificial Intelligence.
CoRR, 2021

Rational Contracts: Data-driven Service Provisioning in Blockchain-powered Systems.
Proceedings of the ICC 2021, 2021

2020
To chain or not to chain: A reinforcement learning approach for blockchain-enabled IoT monitoring applications.
Future Gener. Comput. Syst., 2020

Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data.
CoRR, 2020

Data Consistency in Multi-Cloud Storage Systems With Passive Servers and Non-Communicating Clients.
IEEE Access, 2020

Real-Time Scheduling for Electric Vehicles Charging/Discharging Using Reinforcement Learning.
Proceedings of the IEEE International Conference on Informatics, 2020

2018
Self-Powered IoT-Enabled Water Monitoring System.
Proceedings of the 2018 International Conference on Computer and Applications (ICCA), 2018


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