Abdulmonem Alshahrani
Papers
1
Total Citations
36
H-Index
1
About
Dr. Abdulmonem Alshahrani is a leading researcher at the intersection of computer vision, deep learning, and autonomous systems, with a particular focus on human-centric analysis from aerial platforms. His most cited work, "Unmanned aerial vehicle based multi-person detection via deep neural network models" (2025, 36 citations), tackles the formidable challenge of identifying and understanding human actions in complex, real-world environments captured by UAVs. By addressing critical issues like motion blur and dynamic backgrounds, Dr. Alshahrani’s contributions are pivotal for advancing surveillance, robotics, and autonomous navigation. His research not only pushes the boundaries of deep neural network architectures but also provides practical solutions for deploying AI in uncontrolled settings. With a growing citation impact, Dr. Alshahrani is establishing himself as a key voice in making autonomous systems more perceptive and reliable, bridging the gap between theoretical models and real-world deployment in safety-critical applications.
Research Focus
Key Achievements
Top Papers
- 1