Heba G. Mohamed
Papers
1
Total Citations
15
H-Index
1
About
Dr. Heba G. Mohamed is a leading researcher in intelligent manufacturing and automation, with a core focus on integrating digital twin technology, machine learning, and evolutionary optimization for advanced robotic systems. Her most-cited work, "A Digital Twin‐Based Visual Servoing with Extreme Learning Machine and Differential Evolution" (2023, 15 citations), introduces a groundbreaking framework that combines digital twins with extreme learning machines and differential evolution to enhance visual servoing—a critical technology for precision assembly and dispensing in smart manufacturing. This contribution directly addresses the need for robust, real-time control in flexible production environments. Dr. Mohamed’s research demonstrates how digital twins can drive adaptive, data-driven automation, improving both efficiency and accuracy. Her work is pivotal for students and engineers exploring the intersection of cyber-physical systems and artificial intelligence, offering a practical pathway toward more resilient and intelligent industrial robotics. With a growing citation impact, Dr. Mohamed is establishing herself as a key innovator in the future of smart manufacturing.
Research Focus
Key Achievements
Top Papers
- 1