Yasser Mohammad Al-Sharo
Papers
2
Total Citations
22
H-Index
2
About
Yasser Mohammad Al-Sharo is a researcher whose work bridges the critical domains of computer vision, robotics, and specialized computing systems. His most impactful contribution, the 2021 paper "Some Features of Classifiers Implementation for Object Recognition in Specialized Computer systems," has garnered 17 citations by providing a generalized formalization of recognition algorithms. This work systematically describes the structural features of image recognition methods essential for developing effective classifiers in specialized computer systems, offering a foundational framework for engineers and researchers. In 2023, Al-Sharo extended his focus to robotics with a paper on collision-free trajectory determination for robotic arms, addressing the vital role of robotic manipulators in modernizing production and improving human life. This work presents a generalized procedure for safe and efficient path planning, a key challenge in industrial automation. With a total of 22 citations from these two highly relevant papers, Al-Sharo demonstrates a clear trajectory of impact in applied computer science. His research is particularly valuable for students and practitioners working on the intersection of hardware-constrained systems, real-time image processing, and autonomous robotic control, offering practical algorithms that directly address real-world implementation challenges.
Research Focus
Key Achievements
Top Papers
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- 2