Laiba Zahoor
Papers
1
Total Citations
36
H-Index
1
About
Dr. Laiba Zahoor is a rising researcher at the forefront of computer vision and autonomous systems, with a specialized focus on human behavior analysis from aerial platforms. Her most-cited work, "Unmanned aerial vehicle based multi-person detection via deep neural network models" (2025, 36 citations), tackles the formidable challenge of understanding human actions in complex, real-world environments captured by drones. This research directly addresses critical limitations in surveillance, robotics, and autonomous navigation, where motion blur and dynamic backgrounds often degrade performance. By developing robust deep neural network models, Dr. Zahoor has advanced the capability to detect and analyze multiple individuals from UAV footage, a key step toward safer and more intelligent autonomous systems. Her contributions are particularly notable for bridging the gap between high-altitude sensing and granular human activity recognition. As her work continues to gain traction, Dr. Zahoor is establishing herself as a key innovator in the intersection of aerial robotics and deep learning, with clear implications for public safety, smart cities, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1