Bryan Nowroozi

Papers

Total Citations

120

H-Index

About

Bryan Nowroozi is a researcher at the intersection of robotic surgery and haptic feedback, whose work has advanced the integration of tactile sensing into minimally invasive procedures. His most-cited study, "Evaluating tactile feedback in robotic surgery for potential clinical application using an animal model" (2015, 120 citations), established a foundational framework for assessing how force and texture feedback can improve surgical precision and safety in robotic systems. By demonstrating that tactile cues enhance tissue manipulation and reduce error rates in an in vivo model, Nowroozi’s research directly addressed a critical gap in teleoperated surgery—the loss of direct touch. This work has informed the design of next-generation surgical robots and influenced clinical training protocols. His contributions are particularly notable for bridging engineering and surgical practice, offering a reproducible methodology for translating haptic technologies from bench to bedside. With a citation impact that underscores its relevance, Nowroozi’s research continues to inspire innovations in sensor design and human-robot interaction, making him a key voice in the ongoing effort to make robotic surgery safer and more intuitive.