Farah Ezzeldin

German University in Cairo

Papers

1

Total Citations

5

H-Index

1

About

Farah Ezzeldin is an emerging researcher in biomedical robotics and soft actuator systems, with a focused expertise in sensor integration for humanoid robots. Her work centers on developing innovative measurement techniques for artificial soft muscles, a critical area for advancing lifelike robotic movement and assistive technologies. Her most-cited paper, "Flow rate measurement system for humanoid robot artificial soft muscles using rotameter-LVDT sensor integration" (2025), introduces a novel hybrid sensing approach that combines rotameter and linear variable differential transformer (LVDT) technologies to precisely monitor fluid flow in soft actuators. This contribution addresses a key challenge in soft robotics—accurate real-time control of muscle-like movements—and has already garnered 5 citations shortly after publication, signaling its relevance to the field. Ezzeldin’s work bridges mechanical engineering and biomedical applications, offering practical solutions for prosthetics and human-robot interaction. As a rising voice in this interdisciplinary domain, her research promises to enhance the dexterity and safety of next-generation robotic systems, making her a researcher to watch in the evolving landscape of soft robotics and sensor technology.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Flow rate measurement system for humanoid robot artificial soft muscles using rotameter-LVDT sensor integration
5 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: German University in Cairo

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago