Link Layer Priority Techniques for Real-Time Traffic in CDMA Wireless Mesh Networks. - Maazen Alsabaan; Weihua Zhuang; Ping Wang 001 (ICC, 2008)

Applying Vehicular Ad Hoc Networks for Reduced Vehicle Fuel Consumption. - Maazen Alsabaan; Kshirasagar Naik; Amiya Nayak (WiMo, 2010)

Geocast Routing in Vehicular Networks for Reduction of CO 2 Emissions. - Maazen Alsabaan; Kshirasagar Naik; Tamer Abdelkader; Tarek Khalifa; Amiya Nayak (ICT-GLOW, 2011)

Link layer solutions for supporting real-time traffic over CDMA wireless mesh networks. - Maazen Alsabaan; Weihua Zhuang; Ping Wang 001 (Wirel. Commun. Mob. Comput., 2011)

Optimization of fuel cost and emissions with vehicular networks at traffic intersections. - Maazen Alsabaan; Kshirasagar Naik; Tarek Khalifa; Amiya Nayak (ITSC, 2012)

Design and analysis of Split- and Aggregated-transport control protocol (SA-TCP) for Smart Metering Infrastructure. - Tarek Khalifa; Atef Abdrabou; Kshirasagar Naik; Maazen Alsabaan; Amiya Nayak; Nishith Goel (SmartGridComm, 2012)

Vehicular Networks for a Greener Environment: A Survey. - Maazen Alsabaan; Waleed Alasmary; Abdurhman Albasir; Kshirasagar Naik (IEEE Commun. Surv. Tutorials, 2013)

Optimization of Fuel Cost and Emissions Using V2V Communications. - Maazen Alsabaan; Kshirasagar Naik; Tarek Khalifa (IEEE Trans. Intell. Transp. Syst., 2013)

Transport layer performance analysis and optimization for smart metering infrastructure. - Tarek Khalifa; Atef Abdrabou; Khaled Bashir Shaban; Maazen Alsabaan; Kshirasagar Naik (J. Netw. Comput. Appl., 2014)

Split- and Aggregated-Transmission Control Protocol (SA-TCP) for Smart Power Grid. - Tarek Khalifa; Atef Abdrabou; Kshirasagar Naik; Maazen Alsabaan; Amiya Nayak; Nishith Goel (IEEE Trans. Smart Grid, 2014)

Greener electric vehicles with VANETs. - Maazen Alsabaan (CCECE, 2015)

Performance Study of Economical and Environmentally Friendly Geocast Routing in Vehicular Networks. - Maazen Alsabaan; Kshirasagar Naik; Tarek Khalifa; Saad Alaboodi (IEEE Trans. Veh. Technol., 2015)

Machine-to-Machine (M2M) communications: A survey. - Pawan Kumar Verma; Rajesh Verma; Arun Prakash; Ashish Agrawal; Kshirasagar Naik; Rajeev Tripathi; Maazen Alsabaan; Tarek Khalifa; Tamer Abdelkader; Abdulhakim Abogharaf (J. Netw. Comput. Appl., 2016)

Impact of Two-Way Communication of Traffic Light Signal-to-Vehicle on the Electric Vehicle State of Charge. - Amal Alturiman; Maazen Alsabaan (IEEE Access, 2019)

An insight into mobile advertising and its impact on the resources of handheld devices: a survey. - Abdurhman Albasir; Maazen Alsabaan; Kshirasagar Naik (Int. J. Big Data Intell., 2019)

A Context Establishment Framework for Cloud Computing Information Security Risk Management Based on the STOPE View. - Bader Saeed Alghamdi; Mohamed Elnamaky; Mohammed Amer Arafah; Maazen Alsabaan; Saad Haj Bakry (Int. J. Netw. Secur., 2019)

Mobile geolocation techniques for indoor environment monitoring. - Ridha Ouni; Monji Zaidi; Maazen Alsabaan; Wadood Abdul; Amr Alasaad (KSII Trans. Internet Inf. Syst., 2020)

A Distributed Surveillance System With Full Coverage Guarantee Using Positive Orthogonal Codes. - Maazen Alsabaan; Waleed Alasmary; Abdulaziz Alquniah; Mohamed Mahmoud 001; Mahmoud Nabil 001 (IEEE Access, 2021)

Privacy-Preserving Non-Participatory Surveillance System for COVID-19-Like Pandemics. - Mahmoud Nabil 001; Ahmed B. T. Sherif; Mohamed Mahmoud 001; Waleed Alasmary; Maazen Alsabaan (IEEE Access, 2021)

Accurate and Privacy-Preserving Person Localization Using Federated-Learning and the Camera Surveillance Systems of Public Places. - Mahmoud Nabil 001; Ahmed B. T. Sherif; Mohamed Mahmoud 001; Waleed Alasmary; Maazen Alsabaan (IEEE Access, 2022)

Intelligent Positioning System: Learning Indoor Mobility Behavior and Batch Affiliations. - Abdulaziz S. Altamrah; Waleed Alasmary; Junaid Shuja; Maazen Alsabaan; Imran Ashraf (Wirel. Pers. Commun., 2022)

Novel Evasion Attacks Against Adversarial Training Defense for Smart Grid Federated Learning. - Atef H. Bondok; Mohamed Mahmoud 001; Mahmoud M. Badr; Mostafa M. Fouda; Mohamed M. Abdallah 001; Maazen Alsabaan (IEEE Access, 2023)

Electricity Theft Detection Using Deep Reinforcement Learning in Smart Power Grids. - Ahmed T. El-Toukhy; Mahmoud M. Badr; Mohamed M. E. A. Mahmoud; Gautam Srivastava 001; Mostafa M. Fouda; Maazen Alsabaan (IEEE Access, 2023)

Countering Evasion Attacks for Smart Grid Reinforcement Learning-Based Detectors. - Ahmed T. El-Toukhy; Mohamed M. E. A. Mahmoud; Atef H. Bondok; Mostafa M. Fouda; Maazen Alsabaan (IEEE Access, 2023)

Clustering and Ensemble Based Approach for Securing Electricity Theft Detectors Against Evasion Attacks. - Islam Elgarhy; Mahmoud M. Badr; Mohamed M. E. A. Mahmoud; Mostafa M. Fouda; Maazen Alsabaan; Hisham A. Kholidy (IEEE Access, 2023)

An Explainable AI System for Medical Image Segmentation With Preserved Local Resolution: Mammogram Tumor Segmentation. - Aya Farrag; Gad Gad; Zubair Md Fadlullah; Mostafa M. Fouda; Maazen Alsabaan (IEEE Access, 2023)

Detection of Distributed Denial of Charge (DDoC) Attacks Using Deep Neural Networks With Vector Embedding. - Ahmed A. Shafee; Mohamed M. E. A. Mahmoud; Gautam Srivastava 001; Mostafa M. Fouda; Maazen Alsabaan; Mohamed I. Ibrahem (IEEE Access, 2023)

Enhancing Security in ZigBee Wireless Sensor Networks: A New Approach and Mutual Authentication Scheme for D2D Communication. - Alaa M. Allakany; Abeer Saber; Samih Mohemmed Mostafa; Maazen Alsabaan; Mohamed I. Ibrahem; Haitham Elwahsh (Sensors, 2023)

A new approach for cancer prediction based on deep neural learning. - Haitham Elwahsh; Medhat A. Tawfeek; A. A. Abd El-Aziz 001; Mahmood A. Mahmood; Maazen Alsabaan; Engy A. El-Shafeiy (J. King Saud Univ. Comput. Inf. Sci., 2023)

Quantitative Evaluation of NDE Reliability Based on Back Propagation Neural Network and Fuzzy Comprehensive Evaluation. - Xiao Liu; Gautam Srivastava 001; Maazen Alsabaan (Mob. Networks Appl., 2023)

Image Identification Method of Ice Thickness on Transmission Line Based on Visual Sensing. - Minghe Hu; Jiancang He; Maazen Alsabaan (Mob. Networks Appl., 2023)

Real-Time Anomaly Detection for Water Quality Sensor Monitoring Based on Multivariate Deep Learning Technique. - Engy A. El-Shafeiy; Maazen Alsabaan; Mohamed I. Ibrahem; Haitham Elwahsh (Sensors, 2023)

A Federated Learning Model Based on Hardware Acceleration for the Early Detection of Alzheimer's Disease. - Kasem Khalil; Mohammad Mahbubur Rahman Khan Mamun; Ahmed B. T. Sherif; Mohamed Said Elsersy; Ahmad Abdel-Aliem Imam; Mohamed Mahmoud 001; Maazen Alsabaan (Sensors, 2023)

Lightweight Multi-Class Support Vector Machine-Based Medical Diagnosis System with Privacy Preservation. - Sherif Abdelfattah; Mohamed Baza; Mohamed Mahmoud 001; Mostafa M. Fouda; Khalid Abualsaud; Elias Yaacoub; Maazen Alsabaan; Mohsen Guizani (Sensors, 2023)

A Distillation-Based Attack Against Adversarial Training Defense for Smart Grid Federated Learning. - Atef H. Bondok; Mohamed Mahmoud 001; Mahmoud M. Badr; Mostafa M. Fouda; Maazen Alsabaan (CCNC, 2024)

Evasion Attacks in Smart Power Grids: A Deep Reinforcement Learning Approach. - Ahmed T. El-Toukhy; Mohamed Mahmoud 001; Atef H. Bondok; Mostafa M. Fouda; Maazen Alsabaan (CCNC, 2024)

Secured Cluster-Based Electricity Theft Detectors Against Blackbox Evasion Attacks. - Islam Elgarhy; Ahmed T. El-Toukhy; Mahmoud M. Badr; Mohamed Mahmoud 001; Mostafa M. Fouda; Maazen Alsabaan; Hisham A. Kholidy (CCNC, 2024)

A Trojan Attack Against Smart Grid Federated Learning and Countermeasures. - Atef H. Bondok; Mahmoud M. Badr; Mohamed M. E. A. Mahmoud; Ahmed T. El-Toukhy; Maazen Alsabaan; Fathi H. Amsaad 001; Mohamed I. Ibrahem (IEEE Access, 2024)

Deep Complex Gated Recurrent Networks-Based IoT Network Intrusion Detection Systems. - Engy A. El-Shafeiy; Walaa M. Elsayed; Haitham Elwahsh; Maazen Alsabaan; Mohamed I. Ibrahem; Gamal Farouk Elhady (Sensors, 2024)

The Potential of Deep Learning in Underwater Wireless Sensor Networks and Noise Canceling for the Effective Monitoring of Aquatic Life. - Walaa M. Elsayed; Maazen Alsabaan; Mohamed I. Ibrahem; Engy A. El-Shafeiy (Sensors, 2024)

Securing Smart Grid False Data Detectors Against White-Box Evasion Attacks Without Sacrificing Accuracy. - Islam Elgarhy; Mahmoud M. Badr; Mohamed M. E. A. Mahmoud; Mahmoud Nabil Mahmoud; Maazen Alsabaan; Mohamed I. Ibrahem (IEEE Internet Things J., 2024)

Advanced 3D Face Reconstruction from Single 2D Images Using Enhanced Adversarial Neural Networks and Graph Neural Networks. - Mohamed Fathallah; Sherif El-Etriby; Maazen Alsabaan; Mohamed I. Ibrahem; Gamal Farok (Sensors, 2024)

Remote Assistance for Bone-Fractured Patients using Deep Learning Models. - Musiri Kailasanathan Nallakaruppan; Siva Rama Krishnan Somayaji; Mohamed Baza; Gautam Srivastava 001; SenthilKumaran Ulaganathan; Gokul Yenduri; Vaishali Ravindranath; Maazen Alsabaan (Appl. Artif. Intell., 2024)

Efficient XAI-Based Federated Learning Approach for Accurate Detection of False Data in Smart Grid. - Islam Elgarhy; Mahmoud M. Badr; Mohamed M. E. A. Mahmoud; Tariq Alshawi; Mostafa M. Fouda; Maazen Alsabaan (IEEE Access, 2025)

Explainable Artificial Intelligence in Malignant Lymphoma Classification: Optimized DenseNet121 Deep Learning Approach With Particle Swarm Optimization and Genetic Algorithm. - Haitham Elwahsh; Ali Bakhiet; Omar Ibrahim Alirr; Tarek Khalifa; Maazen Alsabaan; Mohamed I. Ibrahem; Engy A. El-Shafeiy (IEEE Access, 2025)

TPLLM: A traffic prediction framework based on pretrained Large Language Models. - Tian Ma; Yixuan Zhao; Minda Li; Yue Chen; Fangshu Lei; Yanan Zhao 002; Maazen Alsabaan (Appl. Soft Comput., 2025)

Securing One-Class Federated Learning Classifiers Against Trojan Attacks in Smart Grid. - Atef H. Bondok; Mahmoud M. Badr; Mohamed Mahmoud 001; Maazen Alsabaan; Mostafa M. Fouda; Mohamed Abdallah 001 (IEEE Internet Things J., 2025)

Repetitive Backdoor Attacks and Countermeasures for Smart Grid Reinforcement Incremental Learning. - Ahmed T. El-Toukhy; Mahmoud M. Badr; Islam Elgarhy; Mohamed Mahmoud 001; Maazen Alsabaan; Tariq Alshawi (IEEE Internet Things J., 2025)

Investigation of the Robustness of XAI-Based Federated Learning Against Adversarial Attacks for Smart Grid False Data Detection. - Islam Elgarhy; Mahmoud M. Badr; Mohamed Mahmoud 001; Jianbing Ni; Maazen Alsabaan; Tariq Alshawi (IEEE Internet Things J., 2025)

A distributed deep learning approach for blood sample-based early detection of dementia. - Mohammad Mahbubur Rahman Khan Mamun; Ahmed B. T. Sherif; Mohamed Elsersy; Kasem Khalil; Ahmad Abdel-Aliem Imam; Kamal Abouzaid; Maazen Alsabaan (Image Vis. Comput., 2025)

Hyperparameter optimization of XGBoost and hybrid CnnSVM for cyber threat detection using modified Harris hawks algorithm. - Haitham Elwahsh; Ali Bakhiet; Tarek Khalifa; Julian Hoxha; Maazen Alsabaan; Mohamed I. Ibrahem; Mahmoud Elwahsh; Engy A. El-Shafeiy (PeerJ Comput. Sci., 2025)

Trojan Attack and Defense for Deep Learning Based Power Quality Disturbances Classification. - Sultan Uddin Khan; Mahmoud Nabil 001; Mohamed M. E. A. Mahmoud; Maazen Alsabaan; Tariq Alshawi (IEEE Trans. Netw. Sci. Eng., 2025)

SCGG: Smart City Network Topology Graph Generator. - Nouf A. AlSowaygh; Mohammed J. F. Alenazi; Maazen Alsabaan (Concurr. Comput. Pract. Exp., 2025)

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning. - Xiangman Li; Xiaodong Wu; Jianbing Ni; Mohamed Mahmoud 001; Maazen Alsabaan (CoRR, 2025)

Securing Smart Grid Federated Learning Against Advanced Evasion Attacks Using Ensemble-Based Adversarial Training. - Atef H. Bondok; Mahmoud M. Badr; Mohamed M. E. A. Mahmoud; Tariq Alshawi; Jianbing Ni; Maazen Alsabaan (IEEE Internet Things J., 2025)