Parisa Yousefi
Papers
1
Total Citations
5
H-Index
1
About
Parisa Yousefi is a researcher at the forefront of intelligent robotics and sustainable automation, with a focus on integrating deep learning and computer vision into real-world waste management systems. Her most-cited work, "Practical Implementation of Real-Time Waste Detection and Recycling based on Deep Learning for Delta Parallel Robot" (2023), introduces two innovative methods for waste detection and precise pick-and-place operations using neural networks. This research directly addresses the growing need for high-speed, accurate recycling solutions, demonstrating how intelligent robots can transform environmental sustainability. With 5 citations already, this paper highlights her ability to bridge theoretical advances in artificial intelligence with practical robotic applications. Yousefi’s contributions are particularly notable for their emphasis on real-time performance and deployability, making her work relevant to both academic researchers and industry practitioners in automation and waste management. Her achievements underscore a commitment to leveraging cutting-edge technology for ecological benefit, positioning her as an emerging voice in the intersection of robotics, computer vision, and green engineering.
Research Focus
Key Achievements
Top Papers
- 1