Misbah Ahmad
Papers
1
Total Citations
27
H-Index
1
About
Dr. Misbah Ahmad is a leading researcher at the intersection of artificial intelligence, the Internet of Things (IoT), and remote sensing. Her work focuses on developing intelligent frameworks that leverage deep learning for real-world object detection and environmental monitoring. Her most-cited paper, "IoT Enabled Deep Learning Based Framework for Multiple Object Detection in Remote Sensing Images" (2022, 27 citations), exemplifies her core contribution: integrating IoT connectivity with advanced neural networks to enhance the accuracy and efficiency of detecting multiple objects in complex aerial and satellite imagery. This research is pivotal for applications in smart cities, disaster management, and autonomous navigation. Dr. Ahmad’s contributions are shaping the future of intelligent services, particularly in collaborative communication technologies and aerial access networks. Her work not only advances theoretical understanding but also provides practical, scalable solutions for next-generation wireless systems. With a growing citation impact, Dr. Ahmad is recognized for bridging the gap between IoT infrastructure and deep learning, making her a key figure in the development of smarter, more responsive remote sensing technologies.
Research Focus
Key Achievements
Top Papers
- 1