Sanjana Ravi

The University of Texas at Austin

Papers

1

Total Citations

8

H-Index

1

About

Sanjana Ravi is a rising voice in surgical robotics and human–machine interaction, whose work confronts the persistent, often overlooked challenges that undermine modern operating room technology. Her research focuses on the critical gap between cutting‑edge robotic systems and the real‑world visual and ergonomic constraints surgeons face daily. In her most‑cited paper, “Impaired robotic surgical visualization: archaic issues in a modern operating room” (2023, 8 citations), Ravi systematically identifies how outdated visualization tools—such as poor lighting, limited depth perception, and inadequate display interfaces—continue to compromise surgical precision even in state‑of‑the‑art robotic platforms. By framing these “archaic issues” as a design and safety priority, she bridges the divide between engineering innovation and clinical practice. Ravi’s contributions have been recognized for their practical urgency, earning her a growing readership among surgeons, human‑factors engineers, and medical device developers. Her work not only highlights a critical vulnerability in robotic surgery but also charts a clear path toward more intuitive, safer operating environments. As she continues to publish and collaborate, Sanjana Ravi is establishing herself as a key advocate for user‑centered design in the next generation of surgical technology.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Impaired robotic surgical visualization: archaic issues in a modern operating room
8 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: The University of Texas at Austin

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago