Eun Joo Shin
Papers
3
Total Citations
67
H-Index
3
About
Eun Joo Shin is a rising leader in advanced manufacturing, specializing in 3D and 4D printing of smart, flexible materials for wearable robotics and soft sensors. Her research centers on developing conductive polymer composites—such as carbon nanotubes (CNT) and graphene in thermoplastic polyurethane (TPU)—to create highly elastic, durable strain and pressure sensors. In her most cited work (35 citations), Shin designed and evaluated 3D-printed auxetic lattice structures coated with graphene-reinforced waterborne polyurethane, achieving negative Poisson’s ratio behavior ideal for human motion monitoring. She further optimized CNT/TPU sensors by systematically varying infill density and pattern (24 citations), demonstrating how print parameters directly tune sensitivity and mechanical response. Her innovative approach to 4D printing is evident in a study on TPU/PLA blend filaments (8 citations), enabling reversible shape-morphing structures for actuators and soft robots. By bridging materials science with additive manufacturing, Shin’s work provides a scalable pathway to next-generation wearable electronics and intelligent mechanisms. Her growing citation record reflects the field’s demand for robust, printable, and responsive materials—positioning her as a key contributor to the future of smart, adaptive structures.
Research Focus
Key Achievements
Top Papers
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