Amanullah Yasin
University of Engineering and Technology Taxila, Air University
Papers
3
Total Citations
11
H-Index
2
About
Amanullah Yasin is an emerging researcher specializing in computer vision, deep learning, and human-computer interaction, with a particular focus on developing intelligent systems for real-world security, surveillance, and extended reality applications. His most recognized contribution, "BirdView Retina-Net" (2021, 7 citations), advances small-scale object detection for Unmanned Aerial Vehicles, addressing one of the most technically demanding challenges in autonomous robotics — accurately identifying diminutive targets from aerial perspectives. This work reflects his broader commitment to bridging cutting-edge deep learning techniques with practical autonomous systems. More recently, Yasin has expanded his research into human–object interaction (HOI) recognition and user identification, exploring both 3D hand pose data and egocentric wearable camera technologies. His 2024 publications demonstrate a forward-looking interest in Extended Reality (XR) systems and cybersecurity applications, recognizing that precise gesture and action recognition will be foundational to next-generation immersive technologies. Though early in his career, Yasin's growing body of work signals a coherent research vision: creating robust, intelligent perception systems that enhance how machines understand and interact with human behavior across diverse, real-world environments.
Research Focus
Key Achievements
Top Papers
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