Mohammed M. Siddeq
Papers
1
Total Citations
2
H-Index
1
About
Mohammed M. Siddeq is a researcher specializing in 3D data compression and geometry optimization. His work focuses on developing novel algorithms to efficiently compress polygonal meshes and point cloud data—representations critical to industries ranging from manufacturing and medical imaging to robotics and entertainment. Siddeq’s major contribution is a geometry minimization algorithm that reduces file sizes while preserving structural integrity, directly addressing the growing need for efficient storage and transmission of complex 3D models. His most-cited paper, "3D Point Cloud Data and Triangle Face Compression by a Novel Geometry Minimization Algorithm and Comparison with other 3D Formats" (2016), has garnered 2 citations and stands as a foundational effort in comparative analysis of 3D formats. This work demonstrates his commitment to advancing practical solutions for real-world applications, where large-scale 3D data must be handled without sacrificing quality. Siddeq’s research is particularly relevant for students and engineers seeking efficient compression techniques in fields like GIS, robotics, and virtual reality. His contributions continue to influence the development of more compact and accurate 3D representations.
Research Focus
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Top Papers
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