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About

Mengkun She is a researcher specializing in underwater robotics, computer vision, and marine exploration technologies. Her work addresses one of the most challenging frontiers in autonomous systems: enabling robots to perceive, navigate, and map the deep sea with accuracy and reliability. She has made notable contributions to underwater image restoration, developing physically-grounded methods for jointly estimating light and medium properties to recover true colors in camera-light systems — a breakthrough reflected in her most-cited work (2021, 17 citations). She has also conducted comprehensive investigations into the unique difficulties facing monocular visual SLAM underwater, where murky conditions, lack of natural light, and dynamic environments confound standard algorithms (2023, 10 citations). Her research further extends to visual seafloor mapping, where she has pioneered semihierarchical reconstruction approaches and weak-area revisiting strategies for autonomous underwater vehicles (AUVs), improving the robustness of large-scale marine surveys (2024, 5 citations). Collectively, her work advances the capability of AUVs to explore and document the vast, poorly understood deep-sea environment, offering tools with significant implications for oceanography, environmental monitoring, and underwater infrastructure inspection.