Shusheng Qian
Papers
2
Total Citations
31
H-Index
2
About
Dr. Shusheng Qian is a leading researcher at the intersection of computer vision and sustainable design, whose work bridges intelligent perception with environmental engineering. His most impactful contributions include a pioneering visual recognition and location algorithm that optimizes the YOLOv3 detector with RGB-depth camera integration, achieving 19 citations for its advances in real-time object detection and spatial awareness. Complementing this, Dr. Qian's innovative approach to low-carbon design integrates the Design Structure Matrix with carbon footprint analysis, earning 12 citations for providing engineers with a systematic method to minimize environmental impact during product development. His research demonstrates a rare ability to translate complex computational models into practical tools for both robotics and green manufacturing. By fusing deep learning with sustainability metrics, Dr. Qian has established himself as a versatile scholar whose work not only pushes the boundaries of machine perception but also addresses critical global challenges in resource efficiency. His dual focus on algorithmic optimization and eco-conscious design positions him as a forward-thinking contributor to both artificial intelligence and sustainable engineering fields.
Research Focus
Key Achievements
Top Papers
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