Multi-Hop Wireless Network: A Comparative Study for Routing Protocols using OMNET++ Simulator. - Abdullatif Albaseer; Ghashmi Bin Talib; Ahmed Bawazir (J. Ubiquitous Syst. Pervasive Networks, 2016)

Anomaly resilient node placement approach for pipelines monitoring. - Uthman Baroudi; Abdullatif Albaseer (IWCMC, 2017)

Cluster-Based Node Placement Approach for Linear Pipeline Monitoring. - Abdullatif Albaseer; Uthman Baroudi (IEEE Access, 2019)

Node placement approaches for pipelines monitoring: simulation and experimental analysis. - Abdullatif Albaseer; Uthman Baroudi (Int. J. Sens. Networks, 2019)

Performance Evaluation of Physical Attacks against E2E Autoencoder over Rayleigh Fading Channel. - Abdullatif Albaseer; Bekir Sait Ciftler; Mohamed M. Abdallah 001 (ICIoT, 2020)

Exploiting Unlabeled Data in Smart Cities using Federated Edge Learning. - Abdullatif Albaseer; Bekir Sait Ciftler; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha (IWCMC, 2020)

Federated Learning for RSS Fingerprint-based Localization: A Privacy-Preserving Crowdsourcing Method. - Bekir Sait Ciftler; Abdullatif Albaseer; Noureddine Lasla; Mohamed Abdallah 001 (IWCMC, 2020)

Federated Learning for Localization: A Privacy-Preserving Crowdsourcing Method. - Bekir Sait Ciftler; Abdullatif Albaseer; Noureddine Lasla; Mohamed M. Abdallah 001 (CoRR, 2020)

Exploiting Unlabeled Data in Smart Cities using Federated Learning. - Abdullatif Albaseer; Bekir Sait Ciftler; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha (CoRR, 2020)

AI-Based Radio Resource Allocation in Support of the Massive Heterogeneity of 6G Networks. - Abdulmalik Alwarafy; Abdullatif Albaseer; Bekir Sait Ciftler; Mohamed Abdallah 001; Ala I. Al-Fuqaha (5GWF, 2021)

Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks. - Abdullatif Albaseer; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha; Aiman Erbad (GLOBECOM, 2021)

Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge Learning. - Abdullatif Albaseer; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha; Aiman Erbad (ICC Workshops, 2021)

Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey. - Marwan Dhuheir; Abdullatif Albaseer; Emna Baccour; Aiman Erbad; Mohamed M. Abdallah 001; Mounir Hamdi (IWCMC, 2021)

FDRL Approach for Association and Resource Allocation in Multi-UAV Air-To-Ground IoMT Network. - Abegaz Mohammed Seid; Hayla Nahom Abishu; Abdullatif Albaseer; Aiman Erbad; Mohamed Abdallah 001; Mohsen Guizani (GLOBECOM, 2022)

Fine-tuned LSTM-Based Model for Efficient Honeypot-Based Network Intrusion Detection System in Smart Grid Networks. - Abdullatif Albaseer; Mohamed M. Abdallah 001 (ICCSPA, 2022)

Balanced Energy Consumption Based on Historical Participation of Resource-Constrained Devices in Federated Edge Learning. - Abdullatif Albaseer; Mohamed Abdallah 001; Ala I. Al-Fuqaha; Aiman Erbad (IWCMC, 2022)

Exploration and Exploitation in Federated Learning to Exclude Clients with Poisoned Data. - Shadha Tabatabai; Ihab Mohammed; Basheer Qolomany; Abdullatif Albaseer; Kashif Ahmad; Mohamed Abdallah 001; Ala I. Al-Fuqaha (IWCMC, 2022)

Semi-Supervised Federated Learning Over Heterogeneous Wireless IoT Edge Networks: Framework and Algorithms. - Abdullatif Albaseer; Mohamed Abdallah 001; Ala I. Al-Fuqaha; Aiman Erbad; Octavia A. Dobre (IEEE Internet Things J., 2022)

Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning. - Abdullatif Albaseer; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha; Aiman Erbad (IEEE Trans. Netw. Sci. Eng., 2022)

Privacy-Preserving Honeypot-Based Detector in Smart Grid Networks: A New Design for Quality-Assurance and Fair Incentives Federated Learning Framework. - Abdullatif Albaseer; Mohamed M. Abdallah 001 (CCNC, 2023)

DRL-based Federated Uncertainty-guided Semi-Supervised Learning for Network Traffic Selection and Threshold Determination in ZSM. - Abdullatif Albaseer; Mohamed M. Abdallah 001 (GLOBECOM, 2023)

Intelligent Model Aggregation in Hierarchical Clustered Federated Multitask Learning. - Moqbel Hamood; Abdullatif Albaseer; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha; Amr Mohamed 001 (GLOBECOM, 2023)

Exploiting the Divergence Between Output of ML Models to Detect Adversarial Attacks in Streaming IoT Applications. - Abdullatif Albaseer; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha (ICC, 2023)

OpenPLC and lib61850 Smart Grid Testbed: Performance Evaluation and Analysis of GOOSE Communication. - Ahmed Elmasry; Abdullatif Albaseer; Mohamed Abdallah 001 (ISNCC, 2023)

Mitigating IEC-60870-5-104 Vulnerabilities: Anomaly Detection in Smart Grid based on LSTM Autoencoder. - Sajath Sathar; Saif Al-Kuwari; Abdullatif Albaseer; Marwa K. Qaraqe; Mohamed Abdallah 001 (ISNCC, 2023)

Multiagent Federated Reinforcement Learning for Resource Allocation in UAV-Enabled Internet of Medical Things Networks. - Abegaz Mohammed Seid; Aiman Erbad; Hayla Nahom Abishu; Abdullatif Albaseer; Mohamed Abdallah 001; Mohsen Guizani (IEEE Internet Things J., 2023)

Federated Learning Resource Optimization and Client Selection for Total Energy Minimization Under Outage, Latency, and Bandwidth Constraints With Partial or No CSI. - Mohamed Hany Mahmoud; Abdullatif Albaseer; Mohamed M. Abdallah 001; Naofal Al-Dhahir (IEEE Open J. Commun. Soc., 2023)

Clustered and Multi-Tasked Federated Distillation for Heterogeneous and Resource Constrained Industrial IoT Applications. - Moqbel Hamood; Abdullatif Albaseer; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha (IEEE Internet Things Mag., 2023)

Fair Selection of Edge Nodes to Participate in Clustered Federated Multitask Learning. - Abdullatif Albaseer; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha; Abegaz Mohammed Seid; Aiman Erbad; Octavia A. Dobre (IEEE Trans. Netw. Serv. Manag., 2023)

Blockchain-Empowered Resource Allocation in Multi-UAV-Enabled 5G-RAN: A Multi-Agent Deep Reinforcement Learning Approach. - Abegaz Mohammed Seid; Aiman Erbad; Hayla Nahom Abishu; Abdullatif Albaseer; Mohamed M. Abdallah 001; Mohsen Guizani (IEEE Trans. Cogn. Commun. Netw., 2023)

Data-Driven Participant Selection and Bandwidth Allocation for Heterogeneous Federated Edge Learning. - Abdullatif Albaseer; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha; Aiman Erbad (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Tailoring Semantic Communication at Network Edge: A Novel Approach Using Dynamic Knowledge Distillation. - Abdullatif Albaseer; Mohamed Abdallah 001 (ICC, 2024)

Energy-Aware Service Offloading for Semantic Communications in Wireless Networks. - Hassan Saadat; Abdullatif Albaseer; Mohamed Abdallah 001; Amr Mohamed 001; Aiman Erbad (ICC, 2024)

Adaptive Honeypot Defense Deployment: A Stackelberg Game Approach with Decentralized DRL for AMI Protection. - Abdullatif Albaseer; Moqbel Hamood; Mohamed M. Abdallah 001 (ICNC, 2024)

Charging Ahead: A Hierarchical Adversarial Framework for Counteracting Advanced Cyber Threats in EV Charging Stations. - Mohammed Al-Mehdhar; Abdullatif Albaseer; Mohamed Abdallah 001; Ala I. Al-Fuqaha (VTC Spring, 2024)

Empowering HWNs with Efficient Data Labeling: A Clustered Federated Semi-Supervised Learning Approach. - Moqbel Hamood; Abdullatif Albaseer; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha (WCNC, 2024)

NetOrchLLM: Mastering Wireless Network Orchestration with Large Language Models. - Asmaa Abdallah; Abdullatif Albaseer; Abdulkadir Celik; Mohamed M. Abdallah 001; Ahmed M. Eltawil (CoRR, 2024)

DRL-Based IRS-Assisted Secure Hybrid Visible Light and mmWave Communications. - Danya A. Saifaldeen; Abdullatif Albaseer; Bekir Sait Ciftler; Mohamed M. Abdallah 001; Khalid A. Qaraqe (IEEE Open J. Commun. Soc., 2024)

The Role of Deep Learning in Advancing Proactive Cybersecurity Measures for Smart Grid Networks: A Survey. - Nima Abdi; Abdullatif Albaseer; Mohamed M. Abdallah 001 (IEEE Internet Things J., 2024)

Novel Approach for Curbing Unfair Energy Consumption and Biased Model in Federated Edge Learning. - Abdullatif Albaseer; Abegaz Mohammed Seid; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha; Aiman Erbad (IEEE Trans. Green Commun. Netw., 2024)

FedPot: A Quality-Aware Collaborative and Incentivized Honeypot-Based Detector for Smart Grid Networks. - Abdullatif Albaseer; Nima Abdi; Mohamed M. Abdallah 001; Marwa K. Qaraqe; Saif Al-Kuwari (IEEE Trans. Netw. Serv. Manag., 2024)

Optimized Federated Multitask Learning in Mobile Edge Networks: A Hybrid Client Selection and Model Aggregation Approach. - Moqbel Hamood; Abdullatif Albaseer; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha; Amr Mohamed 001 (IEEE Trans. Veh. Technol., 2024)

A Lightweight Committee-Based Approach for Privacy-Preserving Federated Learning. - Elmahdi Bentafat; Noureddine Lasla; Abdullatif Albaseer; Mohamed M. Abdallah 001 (CCNC, 2025)

Anomaly Detection on Smart Grids With Optimized Convolutional Long Short-Term Memory Model. - Ahmad N. Alkuwari; Saif Al-Kuwari; Abdullatif Albaseer; Marwa K. Qaraqe (IEEE Access, 2025)

Survey of Multimodal Federated Learning: Exploring Data Integration, Challenges, and Future Directions. - Mumin Adam; Abdullatif Albaseer; Uthman Baroudi; Mohamed Abdallah 001 (IEEE Open J. Commun. Soc., 2025)

Distributed Traffic Control in Complex Dynamic Roadblocks: A Multi-Agent Deep RL Approach. - Noor Aboueleneen; Yahuza Bello; Abdullatif Albaseer; Ahmed Refaey Hussein; Mohamed M. Abdallah 001; Ekram Hossain 001 (CoRR, 2025)

Leveraging Digital Twin and Machine Learning Techniques for Anomaly Detection in Power Electronics Dominated Grid. - Ildar Idrisov; Divine Okeke; Abdullatif Albaseer; Mohamed M. Abdallah 001; Federico Martin Ibanez (CoRR, 2025)

Efficient Data Labeling and Optimal Device Scheduling in HWNs Using Clustered Federated Semi-Supervised Learning. - Moqbel Hamood; Abdullatif Albaseer; Mohamed Abdallah 001; Ala I. Al-Fuqaha (IEEE Trans. Commun., 2025)