Bassuny M. El-Souhily

Alexandria University

Papers

1

Total Citations

13

H-Index

1

About

Bassuny M. El-Souhily is a researcher whose work lies at the intersection of robotics and biomedical engineering, with a particular focus on micro-robotics for surgical applications. His most-cited paper, "Dynamic analysis algorithm for a micro-robot for surgical applications" (2011), has garnered 13 citations, reflecting its foundational role in advancing the precision and control of miniature robotic systems used in minimally invasive procedures. This contribution underscores his expertise in dynamic modeling and algorithm development, which are critical for ensuring the stability and accuracy of micro-robots in delicate surgical environments. El-Souhily’s research addresses key challenges in medical robotics, such as real-time motion planning and force feedback, aiming to enhance patient outcomes and surgical efficiency. His work has been recognized within the robotics community for its practical implications, bridging theoretical dynamics with clinical needs. By focusing on the intersection of mechanical design and control algorithms, El-Souhily continues to contribute to the evolution of surgical robotics, offering insights that inspire further innovation in autonomous and semi-autonomous medical devices.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic analysis algorithm for a micro-robot for surgical applications
13 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Alexandria University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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