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About

Mohammad Nahangi is a leading researcher in construction automation, with a focus on the intersection of 3D imaging, building information modeling (BIM), and robotics for structural assembly. His work centers on developing automated methods to detect, analyze, and correct dimensional discrepancies in complex construction assemblies, particularly for modular and industrial projects. In his highly cited 2017 paper (59 citations), Nahangi introduced an automated model-based approach for finding 3D objects in cluttered point cloud data, a critical step for real-time quality control on chaotic job sites. He further advanced the field by integrating forward kinematics—a concept borrowed from robotics—to provide automated feedback on assembly errors (40 citations), and by using kinematic chains to analyze dimensional variations in BIM-integrated point clouds (38 citations). A notable achievement is his work on parallel systems, such as pipe racks and structural frames, where he developed realignment planning and actuation strategies to replace heuristic methods with precise, automated control. With over 155 citations across his key publications, Nahangi’s research is shaping the future of smart construction, enabling safer, faster, and more accurate project delivery.