RESEARCH
Advancing Science. Shaping Industry.
600+ Google Scholar citations · h-index 14 · 40+ peer-reviewed publications
Prof. Dr. Ebada's research spans AI, Digital Twins, IoT healthcare systems, and smart manufacturing — published in IEEE Access, Diagnostics, Sustainability, ACM Transactions, and Springer. He has completed 200+ verified peer reviews across 21 international journals.
His research vision centers on bridging intelligent systems with real-world impact — developing methods that make information more accessible, decisions more informed, and digital infrastructure more resilient. From adaptive retrieval algorithms to applied AI in healthcare and manufacturing, his work pursues solutions that scale across distributed environments.
He is particularly interested in how machine learning, knowledge discovery, and multi-source data integration can support entrepreneurship, industrial innovation, and societal benefit — always with an emphasis on reproducible science and practical applicability.
Research Interests
- Artificial Intelligence & Machine Learning
- Information Retrieval & Adaptive Information Access
- Entrepreneurship & Technology Innovation
- Distributed Computing Environments
- Healthcare Informatics & IoT Biosensors
- Knowledge Discovery & Data Mining
- Multi-Source Data Integration
- Applied AI for Cybersecurity & Smart Systems
- Digital Twins & Smart Manufacturing
Active peer reviewer for IEEE, Elsevier, and Springer Nature — 200+ verified reviews across 21 international journals (Publons / Web of Science).
View verified reviews on Publons
View All PublicationsSCHOLARLY SERVICE
Reviewer & Scholarly Service
Since 2019, Prof. Dr. Ebada has served as an international peer reviewer across artificial intelligence, machine learning, IoT, cybersecurity, healthcare informatics, and distributed systems. His reviews contribute to maintaining the quality and integrity of scholarly publishing in fast-evolving technology fields.
He has evaluated manuscripts for leading publishers and societies including IEEE, Elsevier, Springer Nature, MDPI, and Taylor & Francis — covering journals in electronics, sensors, sustainability, supercomputing, medical informatics, and computer science.
