Linhong He
Papers
1
Total Citations
36
H-Index
1
About
Linhong He is a leading researcher in environmental monitoring and artificial intelligence, whose work focuses on the intersection of computer vision and marine conservation. He is best known for developing real-time detection systems for ocean pollution, most notably through his landmark 2025 paper, "Toward smart ocean monitoring: Real-time detection of marine litter using YOLOv12 in support of pollution mitigation," which has already garnered 36 citations. This work introduces a cutting-edge application of the YOLOv12 deep learning architecture to identify and classify marine debris in real-time, enabling rapid response to pollution events. He’s contributions are pivotal in advancing smart ocean technologies, offering scalable solutions for environmental agencies and researchers tackling the global plastic crisis. By bridging AI and ecology, He has demonstrated how machine learning can transform passive observation into active pollution management. His research not only provides a practical tool for mitigating marine litter but also sets a precedent for integrating state-of-the-art object detection models into environmental monitoring systems. With his innovative approach, Linhong He is shaping the future of sustainable ocean stewardship.
Research Focus
Key Achievements
Top Papers
- 1