Mohamed Mahmoud
Papers
1
Total Citations
32
H-Index
1
About
Dr. Mohamed Mahmoud is a leading researcher at the intersection of artificial intelligence, the Internet of Things (IoT), and cloud-edge computing, with a primary focus on intelligent industrial monitoring and anomaly detection. His most cited work, “Cloud-Based Monitoring of Thermal Anomalies in Industrial Environments Using AI and the Internet of Robotic Things” (2020, 32 citations), introduces a novel edge-fog-cloud architecture that overcomes the challenges of detecting thermal irregularities in harsh industrial settings. By integrating AI with the Internet of Robotic Things, Dr. Mahmoud’s framework enables real-time, autonomous surveillance, significantly improving safety and operational efficiency. This contribution is pivotal for advancing smart manufacturing and predictive maintenance, demonstrating how distributed computing and machine learning can transform industrial environments. His research has garnered attention for its practical applicability in reducing downtime and preventing equipment failures. Dr. Mahmoud’s work continues to shape the future of autonomous industrial systems, making him a key figure in the evolving landscape of intelligent monitoring technologies.
Research Focus
Key Achievements
Top Papers
- 1