Papers

6

Total Citations

53

H-Index

5

About

Ehsan Azimi is a leading researcher at the intersection of surgical robotics, human-robot interaction, and mixed reality. His work focuses on overcoming the physical and cognitive barriers that limit surgeons’ mobility and awareness during complex procedures. Azimi’s major contributions include developing a body-mounted robotic system for MRI-guided shoulder arthrography in pediatric patients, which combines high accuracy with a lightweight design suitable for operation inside an MRI bore (17 citations). He has also pioneered mixed reality-based teleoperation systems that replace bulky, fixed consoles with wearable interfaces, enabling surgeons to move freely while maintaining precise control over surgical robots. His research on mobile teleoperation using wireless wearable sensing (5 citations) and vision-based calibration for intraocular robotic snakes (5 citations) further demonstrates his commitment to enhancing dexterity and procedural efficiency. With over 50 total citations across his most influential works, Azimi is recognized for advancing the usability and accessibility of surgical robotics, making him a notable figure in the field of medical cyber-physical systems.

Research Focus

Key Achievements

5
H-Index
6
Papers
53
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Robotic system for MRI-guided shoulder arthrography: Accuracy evaluation
17 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Johns Hopkins University, Isfahan University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago