Madusudanan Sathia Narayanan
University at Buffalo, State University of New York, Northwestern University
Papers
7
Total Citations
101
H-Index
5
About
Madusudanan Sathia Narayanan is a leading researcher at the intersection of robotic surgery, computer vision, and haptics. His work fundamentally advances how surgical robots are trained, assessed, and controlled. A major contribution is his pioneering use of automated video-analysis and motion studies to objectively quantify surgical skill, moving beyond subjective evaluation. His highly cited 2012 paper on this topic (35 citations) laid the groundwork for data-driven performance metrics. Narayanan also demonstrated the clinical utility of robotic systems, notably showing in a 2014 study (39 citations) that morbid obesity does not increase surgical risk in robotic gynecologic procedures, despite longer operative times. His research further extends to surgical tool pose estimation from monocular endoscopic videos—critical for safety and feedback—and the data-driven development of haptic models for realistic needle biopsy phantoms, enhancing surgical training. By combining rigorous engineering with clinical insight, Narayanan’s work directly improves the safety, precision, and training of minimally invasive robotic surgery.
Research Focus
Key Achievements
Top Papers
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- 4Surgical tool pose estimation from monocular endoscopic videos7 citations · 2015
- 5Data Driven Development of Haptic Models for Needle Biopsy Phantoms6 citations · 2012
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