Shuting Huang

Shandong University of Science and Technology

Papers

Total Citations

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About

Dr. Shuting Huang is a leading researcher in underwater computer vision and marine robotics, with a primary focus on advancing object detection algorithms for autonomous underwater vehicles. Her most influential work, "Underwater Object Detection Algorithm Based on Adding Channel and Spatial Fusion Attention Mechanism" (2023, 20 citations), addresses a critical challenge in marine exploration: the poor detection precision caused by the complex, low-visibility underwater environment. Dr. Huang’s key contribution lies in developing a novel attention mechanism that fuses channel and spatial information, significantly improving the accuracy and robustness of underwater target detection. This innovation directly supports the autonomous operation of underwater vehicles, enabling more reliable navigation and object recognition in real-world marine settings. By tackling the fundamental limitations of traditional detection methods in turbid and light-attenuated waters, her work has practical implications for oceanographic research, underwater infrastructure inspection, and environmental monitoring. Dr. Huang’s research continues to push the boundaries of intelligent perception systems for challenging underwater domains, making her a rising authority in the intersection of deep learning and marine technology.