About

Jochen Teizer is a leading researcher in construction automation, safety, and resource tracking, whose work has fundamentally advanced how technology is applied to improve efficiency and safety on construction sites. His major contributions center on developing and evaluating real-time location sensing systems, particularly ultra-wideband (UWB) technology, for tracking workforce, equipment, and materials in harsh construction environments. His seminal 2011 paper on UWB performance evaluation has garnered 251 citations, while his foundational 2008 work on automated 3D location sensing for construction resource management has been cited 130 times. Teizer has also pioneered data-fusion approaches for construction engineering, combining multiple sensing modalities to enhance measurement reliability and reduce ambiguity. His research extends to vision-based tracking methods for interacting workforce members, time-of-flight range imaging for object identification and manipulation, and most recently, automating construction safety inspections using robots and unsupervised deep domain adaptation. He has been instrumental in shaping the field through his leadership in the International Symposium on Automation and Robotics in Construction (ISARC), and his recent work on learning factories for construction addresses the growing need for future engineering skills beyond technical education.

Research Focus

Key Achievements

6
H-Index
10
Papers
537
Total Citations
54
Avg Citations/Paper
🏆 Most Cited Paper
Performance evaluation of ultra wideband technology for construction resource location tracking in harsh environments
251 citations · 2011
📈 Most Prolific Year: 2010 (3 Papers)
🤝 Key Collaborators: 121
🏛 Institutions: Georgia Institute of Technology, China Railway Construction Corporation (China), Aarhus University, Technical University of Denmark

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago