Bernd Hamann
Papers
2
Total Citations
44
H-Index
2
About
Bernd Hamann’s research bridges computer graphics, scientific visualization, and geometric modeling, with a strong focus on feature-driven analysis and inspection. His most cited work, “Feature-Driven Viewpoint Placement for Model-Based Surface Inspection” (2020, 29 citations), introduces a computational framework that optimizes camera viewpoints to detect surface defects automatically—a critical advance for robotic visual inspection in manufacturing and quality control. This work demonstrates his ability to combine geometric reasoning with practical engineering applications. Hamann also contributed to large-scale experimental infrastructure, co-authoring “The NEES geotechnical centrifuge at UC Davis” (2004, 15 citations), which describes a 9.1-meter radius centrifuge with a servo-hydraulic shaking table used for earthquake engineering research since 1994. This facility, part of the NSF-funded Network for Earthquake Engineering Simulation (NEES), has been instrumental in advancing geotechnical modeling. Hamann’s impact lies in his dual expertise: developing algorithmic solutions for automated visual inspection and enabling physical simulation infrastructure. His work is widely cited by researchers in visualization, robotics, and geotechnical engineering, reflecting its interdisciplinary reach and practical significance.
Research Focus
Key Achievements
Top Papers
- 1Feature-Driven Viewpoint Placement for Model-Based Surface Inspection29 citations · 2020
- 2The NEES geotechnical centrifuge at UC Davis15 citations · 2004