Ardian Gjinofci

Papers

2

Total Citations

7

H-Index

2

About

Ardian Gjinofci is a researcher at the forefront of non-destructive evaluation (NDE) for civil infrastructure, specializing in the robotic inspection of concrete structures. His work centers on automating traditional impact-sounding (IS) and impact-echo (IE) methods—techniques that detect subsurface defects by analyzing acoustic responses—to overcome the labor-intensive process of manual data collection over large areas. Gjinofci’s key contribution lies in integrating robotic platforms with these NDE techniques, enabling efficient, high-resolution characterization of flaws such as delaminations and voids in concrete. His most-cited paper, “Robotic Inspection and Characterization of Subsurface Defects on Concrete Structures Using Impact Sounding” (2022), has garnered 4 citations, demonstrating early recognition in the field. This work addresses a critical need for sustainable infrastructure maintenance by reducing human effort and improving inspection accuracy. Gjinofci’s research bridges robotics and civil engineering, offering a scalable solution for aging structures. His achievements highlight a promising trajectory in automated structural health monitoring, with potential to transform how engineers assess concrete safety worldwide.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
ROBOTIC INSPECTION AND CHARACTERIZATION OF SUBSURFACE DEFECTS ON CONCRETE STRUCTURES USING IMPACT SOUNDING
4 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago