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About

Mohamed Rahayem is a researcher specializing in 3D metrology, geometric reverse engineering (GRE), and laser-based measurement systems, with a particular focus on integrating laser profile scanners with industrial robots. His work has made significant contributions to automating the process of creating accurate CAD models from physical objects — a challenge at the heart of modern manufacturing and inspection workflows. Rahayem's most cited work, "Best ellipse and cylinder parameters estimation from laser profile scan sections" (2012, 29 citations), demonstrates his expertise in extracting precise geometric primitives from point cloud data. Complementing this, his research on quadric and planar segmentation (2010, 23 citations; 2009, 20 citations) advanced robust methods for processing raw scan data into meaningful geometric structures. His earlier foundational studies explored the accuracy and practical viability of robot-mounted laser systems, acknowledging the trade-off between industrial robots' relatively low positional accuracy and their speed, flexibility, and cost-effectiveness. Collectively, his publications address the full GRE pipeline — from data acquisition and accuracy analysis to segmentation and geometric fitting — making him a notable contributor to applied 3D measurement research. His work is particularly valuable for researchers and engineers developing automated inspection and reverse engineering solutions in industrial environments.