Elham Davoodi
Papers
1
Total Citations
20
H-Index
1
About
Elham Davoodi is a rising researcher in advanced manufacturing and sensor technology, whose work bridges materials science, mechanical engineering, and additive manufacturing. Her primary research focuses on the design, characterization, and optimization of flexible sensors—particularly vibration strain sensors—for applications in structural health monitoring, wearable electronics, and soft robotics. Davoodi’s most notable contribution is her pioneering investigation into 3D-printed sensors incorporating triply periodic minimal surfaces (TPMS), a novel geometric architecture that enhances mechanical flexibility and sensitivity. Her 2022 paper on this topic has already garnered 20 citations, signaling its growing influence in the field of smart materials and 4D printing. By systematically characterizing and optimizing these TPMS-based sensors, she has demonstrated how lattice geometries can be tailored to improve strain detection under dynamic loading conditions. This work not only advances the fundamental understanding of structure–property relationships in additively manufactured sensors but also provides a scalable pathway for producing low-cost, customizable sensing devices. Davoodi’s research is particularly impactful for students and engineers seeking to integrate functional materials into 3D-printed structures, offering a clear example of how computational design and experimental validation can converge to solve real-world sensing challenges.
Research Focus
Key Achievements
Top Papers
- 1