Papers
2
Total Citations
39
H-Index
2
About
Shan Ye is a rising researcher in the fields of bio-inspired materials and intelligent optimization algorithms, whose work bridges soft robotics and computational problem-solving. Ye’s most notable contribution is the development of a novel nature-inspired anisotropic hydrogel capable of programmable shape deformations, published in 2022 and already cited 27 times—a strong impact for a recent study. This work advances the design of smart materials that can change shape in response to external stimuli, with potential applications in soft robotics and biomedical devices. In parallel, Ye has made significant strides in computational optimization, authoring an enhanced dung beetle optimizer that addresses critical limitations of the original algorithm, including low population diversity, weak global exploration, and premature convergence. The 2025 paper, which has garnered 12 citations shortly after publication, introduces multiple strategies to improve robot path planning, demonstrating Ye’s versatility in applying nature-inspired algorithms to real-world engineering challenges. By combining expertise in materials science and metaheuristic optimization, Shan Ye is establishing a distinctive research profile that promises further innovations in adaptive systems and autonomous navigation.
Research Focus
Key Achievements
Top Papers
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