Mohamed A. Ramadan

Khalifa University of Science and Technology

Papers

5

Total Citations

56

H-Index

4

About

Mohamed A. Ramadan is a pioneering researcher at the intersection of robotics, automation, and intelligent manufacturing, with a core focus on developing advanced robotic systems for industrial inspection and human assistance. His most significant contributions lie in two key areas: high-speed neuromorphic vision for manufacturing quality control and novel assistive robotic limbs for medical rehabilitation. Ramadan’s work on neuromorphic vision-based countersink inspection (21 citations) has revolutionized automated assembly lines in aerospace and automotive sectors by overcoming the limitations of traditional laser scanners and monocular cameras. He has also made groundbreaking advances in medical robotics through his development of a novel Supernumerary Robotic Limb (SRL) based on Variable Stiffness Actuators (11 citations), designed specifically to restore lost degrees of freedom in post-stroke hemiplegic patients. Additionally, his creation of the irisVSA—an infinite-rotation, infinite-stiffness Variable Stiffness Actuator (11 citations)—represents a major leap forward in physical human-robot interaction safety and performance. Ramadan’s vision-guided robotic system for aero-engine inspection and dynamic balancing (11 citations) further demonstrates his commitment to automating critical, traditionally manual aerospace procedures. His work is characterized by a unique ability to bridge cutting-edge sensor technology with practical, real-world applications in both industrial and medical domains.

Research Focus

Key Achievements

4
H-Index
5
Papers
56
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
High speed neuromorphic vision-based inspection of countersinks in automated manufacturing processes
21 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Khalifa University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago