Farzaneh Kaji
Papers
5
Total Citations
125
H-Index
4
About
Farzaneh Kaji is a leading researcher in advanced manufacturing, specializing in robotic laser directed energy deposition (LDED) and additive manufacturing of complex geometries. Her major contributions center on developing adaptive process planning and in-situ quality control methodologies for large-scale metal additive manufacturing. Kaji’s work addresses critical challenges in building overhang structures, where she pioneered a novel trajectory planning approach that enables the fabrication of variable overhang angles up to 35°—a significant advancement for producing dome and tubular components without support structures. Her deep-learning-based surface anomaly detection system, cited 49 times, represents a breakthrough in real-time defect identification during powder-fed LDED processes. With over 125 total citations across her most-cited papers, Kaji’s research has substantially impacted the field by improving geometric accuracy and reducing material waste in robotic additive manufacturing. Her adaptive trajectory planning for geometric defect correction further demonstrates her commitment to scalable, defect-free production. Kaji’s work is essential reading for researchers and engineers seeking to advance large-scale, robotic additive manufacturing for industrial applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5