Naveed D. Riaziat

Papers

Total Citations

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About

Naveed D. Riaziat is a pioneering researcher at the intersection of robotic surgery, haptic feedback, and autonomous medical systems. His work focuses on three key areas: enhancing surgical training through multi-modality haptic systems, advancing teleoperation control for millirobots, and developing autonomous electrosurgical platforms. Riaziat's most impactful contribution is his 2022 paper on a ROS-based modular haptic feedback system for robotic minimally invasive surgery (RMIS), which addresses the critical limitation that current commercial RMIS platforms lack any haptic feedback—forcing surgeons to rely solely on visual cues. This work, with 9 citations, provides a framework for integrating tactile sensing into surgical training assessments. His 2024 investigation into haptic feedback for vision-deficient millirobot telemanipulation (5 citations) tackles the unique challenges of controlling magnetically actuated robots under suboptimal imaging, a growing concern in micro-scale surgery. Most recently, his 2025 paper on autonomous closed-loop control for robotic soft tissue electrosurgery using RGB-D image guidance demonstrates a novel approach to achieving more precise tumor excision margins in oral cancer treatment. Riaziat's research is notable for bridging the gap between haptic technology and autonomous surgical systems, offering practical solutions that could transform both training and clinical outcomes in minimally invasive procedures.