Sanam Narejo

Mehran University of Engineering and Technology

Papers

Total Citations

145

H-Index

About

Dr. Sanam Narejo is a leading researcher in artificial intelligence and computer vision, with a primary focus on deep learning applications for public safety and intelligent surveillance systems. Her most impactful contribution is the development of a real-time weapon detection framework using YOLO V3, published in 2021 and cited over 145 times. This work addresses the critical global issue of gun-related violence by creating a fully automated system capable of identifying handguns and rifles from surveillance footage, leveraging transfer learning to achieve high accuracy in real-time scenarios. Dr. Narejo’s research bridges the gap between advanced deep learning architectures and practical, deployable security solutions, making her work highly influential in both academic and applied contexts. Her contributions have been widely recognized for their potential to enhance automated threat detection, reduce human error, and improve response times in smart city infrastructures. Through her innovative use of convolutional neural networks and object detection algorithms, Dr. Narejo continues to shape the future of intelligent monitoring systems, inspiring further research in AI-driven public safety technologies.