Deok Han
Papers
1
Total Citations
13
H-Index
1
About
Dr. Deok Han is a researcher whose work sits at the intersection of computer vision and marine biology, with a primary focus on developing intelligent systems for fish species recognition and detection. His most impactful contribution, the 2023 paper "Semi-supervised learning for fish species recognition," has garnered 13 citations and addresses a critical need in fishery industries: accurate, robust classification and detection of fish to monitor activities, identify species distribution, and protect endangered populations. By leveraging semi-supervised learning techniques, Dr. Han’s work reduces the reliance on large labeled datasets, making automated fish monitoring more practical and scalable. This research is vital for ecological conservation and sustainable fisheries management. Dr. Han’s contributions demonstrate a clear commitment to applying cutting-edge machine learning methods to solve real-world environmental challenges, establishing him as a promising voice in the field of applied computer vision for marine science.
Research Focus
Key Achievements
Top Papers
- 1Semi-supervised learning for fish species recognition13 citations · 2023