Jeffrey West

University of Waterloo, Marshall Space Flight Center

Papers

5

Total Citations

166

H-Index

5

About

Jeffrey West’s research sits at the intersection of construction automation, 3D sensing, and aerospace engineering, where he develops computational methods to solve complex spatial and assembly challenges. His most influential work focuses on automated object detection and dimensional analysis in construction, using point cloud models and building information models to improve assembly accuracy. His 2017 paper on automated model-based finding of 3D objects in cluttered construction point clouds (59 citations) and his 2015 work on assembly discrepancy feedback using 3D imaging and forward kinematics (40 citations) have become foundational references in the field. West also made significant contributions to structural realignment, proposing actuation strategies for parallel systems like pipe modules in industrial construction. Notably, his work extends beyond terrestrial applications: he developed a gas-granular simulation framework to model spacecraft landing plume-surface interactions and debris transport on extraterrestrial surfaces. This multi-phase flow solver addresses critical risks in unprepared landing sites, demonstrating his versatility in applying computational modeling across domains. With over 166 citations across his top papers, West’s research continues to influence both construction robotics and space exploration technology.

Research Focus

Key Achievements

5
H-Index
5
Papers
166
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Automated Model‐Based Finding of 3D Objects in Cluttered Construction Point Cloud Models
59 citations · 2017
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of Waterloo, Marshall Space Flight Center

Top Papers

  1. 1
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  5. 5

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago