Syed J. Askari

Papers

Total Citations

248

H-Index

About

Syed J. Askari is a leading researcher in the field of robotic surgery, specializing in haptic feedback systems and human-machine interaction. His work addresses a critical challenge in minimally invasive robotic procedures: the loss of tactile sensation, which can lead to excessive tissue damage and surgical errors. Askari’s most impactful contribution is his 2019 study on "Multi-Modal Haptic Feedback for Grip Force Reduction," which has garnered 122 citations and demonstrates how combining visual, auditory, and tactile cues can significantly lower grasping forces, thereby reducing the risk of tissue trauma. He further advanced surgical safety with an "Artificial Palpation" system (53 citations) that restores the sense of touch for tissue stiffness assessment, and a "Suture Breakage Warning System" (39 citations) that prevents intraoperative suture failure. His earlier work on "Visual–perceptual mismatch" (34 citations) explored the cognitive dissonance surgeons experience when visual cues conflict with haptic feedback. Askari’s research has been instrumental in making robotic surgery safer and more intuitive, directly impacting patient outcomes and surgical training.