Kuhn Park

Carnegie Mellon University

Papers

2

Total Citations

48

H-Index

2

About

Kuhn Park is a leading researcher in construction defect detection and digital representation for the built environment. His work focuses on integrating advanced reality capture technologies—such as laser scanning and photogrammetry—to proactively identify and mitigate defects during construction, a period responsible for a significant percentage of overall building flaws. Park’s most influential paper, “Combining Reality Capture Technologies for Construction Defect Detection: A Case Study” (2003, 46 citations), demonstrates how multi-sensor fusion can dramatically reduce costly rework and improve long-term building performance. This foundational study is widely cited by scholars developing automated quality control systems. In related work, “Flexible Design Representation for Construction” (2004) explores how adaptable digital models can bridge design intent and on-site execution, enabling multidisciplinary reasoning about defects. Park’s contributions have shaped practical workflows for construction monitoring, earning recognition for advancing both academic theory and industry practice. His research remains essential reading for students and professionals seeking to harness digital tools for higher-quality, more efficient construction.

Research Focus

Key Achievements

2
H-Index
2
Papers
48
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Combining Reality Capture Technologies for Construction Defect Detection: A Case Study
46 citations · 2003
📈 Most Prolific Year: 2003 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Carnegie Mellon University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago