Shaheena Noor

Sir Syed University of Engineering and Technology

Papers

Total Citations

H-Index

About

Shaheena Noor is a leading researcher at the intersection of computer vision, robotics, and applied artificial intelligence, with a focus on creating intelligent systems for real-world automation. Her work is distinguished by its practical impact, particularly in the fields of medical robotics and environmental sustainability. Her most influential paper, "Object Recognition for Dental Instruments Using SSD-MobileNet" (2019, 22 citations), pioneered the application of deep learning for robot-assisted dental surgery, addressing a critical gap in making advanced surgical tools accessible to dental practitioners. More recently, Noor has advanced the field of autonomous waste management with her work on "Enhancing Efficiency and Safety with YOLOv5-Powered Robotic Arms for Waste Classification" (2024). This research demonstrates how state-of-the-art object detection can enable robotic arms to autonomously sort waste, significantly improving recycling efficiency and reducing human exposure to hazardous materials. By bridging the gap between cutting-edge AI models and tangible robotic applications, Noor’s contributions are shaping a future where intelligent machines enhance precision in surgery and promote environmental sustainability.