Shijie Dai

Hebei University of Technology, Chinese Academy of Sciences

Papers

Total Citations

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About

Shijie Dai is an emerging researcher whose work spans two distinctly innovative fields: structural reliability analysis and bioinspired underwater robotics. In the domain of engineering safety, Dai has made notable strides in evidence-theory-based structural reliability analysis, developing novel probabilistic transformation techniques that address uncertainty quantification in complex structural systems. This work, which has garnered 18 citations since its 2025 publication, represents a meaningful advancement in how engineers assess and model structural risk under epistemic uncertainty. Equally compelling is Dai's foray into bioinspired robotics, particularly his exploration of remora fish locomotion as a blueprint for multi-robot underwater systems. His research on hitch-hiking motion in bionic robotic remoras investigates how multiple robots can coordinate enhanced multimodal locomotion by mimicking the adhesion and transport strategies of these remarkable marine animals — work that has already attracted attention with 7 citations shortly after publication in 2024. Taken together, Dai's contributions reflect a researcher comfortable working across disciplinary boundaries, translating biological phenomena into engineering solutions while simultaneously refining mathematical frameworks for safety analysis. His growing citation record signals a research trajectory well worth following for students interested in robotics, uncertainty modeling, or structural engineering.