Papers
5
Total Citations
151
H-Index
5
About
Burcu Akinci is a pioneering researcher in construction engineering, whose work fundamentally reshapes how we monitor, assess, and ensure quality in the built environment. Her primary research areas center on data fusion, reality capture technologies, and automated defect detection for infrastructure. Akinci’s most significant contributions lie in developing systematic frameworks that integrate diverse sensing data—from LADAR and embedded sensors to laser scanners—to enable proactive, rather than reactive, construction quality control. Her seminal 2010 paper on data-fusion approaches for construction engineering (56 citations) established a foundational methodology for combining disparate data streams to enhance measurement confidence and reduce ambiguity. Her highly cited 2003 case study on combining reality capture technologies for defect detection (46 citations) demonstrated the practical, cost-saving potential of these advanced sensing techniques. Further, her work on using LADAR and embedded sensing for quality control (32 citations) advanced the field from static snapshot evaluations to dynamic, continuous monitoring. Through these contributions, Akinci has profoundly impacted the industry’s ability to detect defects early, improve infrastructure reliability, and extend the lifespan of aging bridges and buildings.
Research Focus
Key Achievements
Top Papers
- 1Data-Fusion Approaches and Applications for Construction Engineering56 citations · 2010
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- 4Challenges in Generation of As-Is Bridge Information Model: A Case Study11 citations · 2015
- 5Visualizing Laser Scanner Data for Bridge Inspection6 citations · 2010