Mona Bakri Hassan
Papers
1
Total Citations
20
H-Index
1
About
Dr. Mona Bakri Hassan is a leading researcher at the intersection of artificial intelligence and the Internet of Things, with a core focus on advancing Industrial IoT (IIoT) systems. Her most-cited work, "Machine Learning for Industrial IoT Systems" (2021, 20 citations), provides a foundational framework for integrating AI algorithms into IIoT platforms to manage and analyze massive, heterogeneous data streams. Dr. Hassan’s major contribution lies in demonstrating how machine learning can uniquely solve critical challenges in data identification, classification, and real-time decision-making within complex industrial environments. Her research has been instrumental in enabling smarter, more autonomous factories and infrastructure, directly impacting the efficiency and scalability of modern Industry 4.0 applications. By bridging the gap between theoretical AI models and practical IoT deployment, Dr. Hassan’s work continues to shape how industries leverage big data for predictive maintenance, anomaly detection, and operational optimization. Her growing citation record reflects the increasing relevance of her insights as the world moves toward more intelligent, connected systems.
Research Focus
Key Achievements
Top Papers
- 1Machine Learning for Industrial IoT Systems20 citations · 2021