Papers
3
Total Citations
106
H-Index
3
About
Nazim Haouchine is a leading researcher at the intersection of computer vision, robotics, and biomechanics, with a primary focus on advancing minimally invasive surgery. His work is centered on creating intelligent, image-guided systems that enhance a surgeon’s perception and control, particularly in complex soft-tissue environments. A major contribution is his pioneering method for vision-based force feedback estimation in robot-assisted surgery, which enables haptic sensation without additional sensors by analyzing tissue deformation from endoscopic video—a critical step toward safer robotic procedures. This work, published in 2018, has garnered 76 citations. He has also made significant strides in augmented reality for surgery, developing techniques to accurately track and overlay internal liver structures (such as tumors and vascular networks) onto laparoscopic views, even under large deformations. His more recent research incorporates uncertainty into path planning for robotic neurosurgery, aiming to make autonomous tool navigation safer for accessing deep brain lesions. With a publication record demonstrating high impact and a clear trajectory from perception to autonomous action, Haouchine’s work is instrumental in building the next generation of context-aware, semi-autonomous surgical robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3