Papers
3
Total Citations
131
H-Index
2
About
Dr. Meiwei Kong is a leading researcher at the forefront of underwater optical technologies, specializing in underwater object detection, real-time video surveillance, and underwater wireless optical communication (UWOC). Her work directly addresses the critical challenges of poor image quality and blur in complex underwater environments, which are essential for advancing marine environmental monitoring, resource development, and ecological protection. Dr. Kong’s most impactful contribution is her 2024 paper on real-time underwater object detection using deep learning, which has garnered 72 citations for its novel approach to overcoming the limitations of degraded optical images. She further demonstrated her expertise by developing a UWOC-based 2K real-time digital video surveillance system for high visual-fidelity underwater monitoring (57 citations), a pioneering achievement that integrates autonomous underwater vehicle and video fusion technologies. Her ongoing work includes refining detection algorithms, such as an improved YOLOv5-based method for blurry images, underscoring her commitment to enhancing the precision and reliability of underwater vision systems. Dr. Kong’s research is instrumental in advancing autonomous marine operations and has significant applications in marine biology, fisheries monitoring, and ocean exploration.
Research Focus
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Top Papers
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