Nazanin Afsar Kazerooni
Papers
1
Total Citations
5
H-Index
1
About
Nazanin Afsar Kazerooni is a rising researcher at the intersection of advanced manufacturing, robotics, and computer vision. Her work focuses on developing autonomous systems for precise material processing, with a particular emphasis on laser-based fabrication techniques. Her most-cited paper, "An autonomous laser kirigami method with low-cost real-time vision-based surface deformation feedback system" (2021, 5 citations), exemplifies her innovative approach to integrating real-time sensing with manufacturing control. This work introduces a method that uses affordable vision systems to monitor and adjust laser cutting in real time, enabling the creation of complex kirigami structures with high accuracy—a significant step toward scalable, intelligent manufacturing. While her citation count is still growing, her contributions are notable for their practical, low-cost solutions that bridge the gap between academic research and industrial application. Afsar Kazerooni’s research is particularly relevant for students and engineers interested in smart manufacturing, robotics, and the use of computer vision for process automation. Her work promises to advance the field of autonomous fabrication, making it more accessible and efficient.
Research Focus
Key Achievements
Top Papers
- 1