Research Publications

Peer-reviewed work in AI, digital twins, IoT, and smart manufacturing.

40+ peer-reviewed publications with 600+ Google Scholar citations (h-index 14). Research spans AI, Digital Twins, IoT healthcare systems, edge computing, and applied digitalization — published in IEEE Access, Diagnostics, Sustainability, ACM Transactions, and Springer Nature venues.

Prof. Ebada has served as Associate Editor and peer reviewer for IEEE, Elsevier, and Springer Nature, with 200+ verified reviews across 21 international journals.

Representative Research Output

IoT-Based Healthcare Monitoring Systems: A Comprehensive Survey and Future Directions

IEEE Access 2021

Machine Learning Approaches for Anomaly Detection in Industrial IoT Environments

Sustainability (MDPI) 2022

Digital Twin Framework for Smart Manufacturing: Architecture and Implementation

Diagnostics (MDPI) 2023

Adaptive Information Retrieval Using Deep Learning for Multi-Source Data Integration

Journal of Supercomputing (Springer) 2020

Edge Computing and Wearable Biosensors for Real-Time Health Analytics

Informatics in Medicine Unlocked (Elsevier) 2021

Knowledge Discovery and Computational Intelligence in Distributed Environments

Egyptian Informatics Journal 2019

Applied AI for Cybersecurity in IoT Networks: Threat Detection and Mitigation Strategies

Electronics (MDPI) 2022

View on Google Scholar  ·  Research overview