About

Reza Monfaredi is a biomedical robotics researcher whose work sits at the intersection of medical imaging, surgical robotics, and human-machine interaction. His research primarily focuses on MRI-compatible robotic systems, robot-assisted ultrasound imaging, and force sensing in minimally invasive surgery — areas where his contributions have meaningfully advanced clinical capabilities. Monfaredi has been instrumental in developing body-mounted and image-guided robotic platforms for needle-based interventions, including pioneering work on MRI-compatible robots for shoulder arthrography and prostate procedures. His widely cited 2018 review of MRI robots for needle interventions (91 citations) serves as a foundational reference in the field, while his parallel work on robotic telesonography systems (81 citations) has helped bridge the gap between advanced robotics and accessible ultrasound diagnostics — with particular relevance to remote and hazardous environments. His research also tackles the critical challenge of force feedback in robotic surgery, demonstrated through implementations on the da Vinci Research Kit (61 citations), and extends into emerging areas such as soft robotics for medical applications. With over 400 cumulative citations across his most recognized works, Monfaredi's research continues to shape the future of safer, more precise, and image-guided robotic surgical systems.

Research Focus

Key Achievements

16
H-Index
44
Papers
789
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
MRI Robots for Needle-Based Interventions: Systems and Technology
91 citations · 2018
📈 Most Prolific Year: 2018 (6 Papers)
🤝 Key Collaborators: 110
🏛 Institutions: Children's National, Islamic Azad University South Tehran Branch, Islamic Azad University, Tehran, Amirkabir University of Technology, Johns Hopkins University, University of Maryland, College Park

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago