Azadeh Sheidaei

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About

Dr. Azadeh Sheidaei is a leading researcher in the mechanics of multifunctional materials, with a focus on liquid metal embedded elastomers (LMEEs) and their application in soft electronics and sensors. Her work bridges computational mechanics and data-driven design, most notably through her highly cited 2019 study on the numerical modeling of conductive LMEEs, which has garnered over 20 citations and established foundational understanding of how liquid metal droplets deform and percolate within elastic matrices. In a pioneering 2022 study, Sheidaei integrated machine learning with microstructure analysis to predict and optimize LMEE properties, achieving a novel framework that accelerates material discovery—a contribution that has already attracted 9 citations for its innovative approach. Her research is distinguished by its fusion of physics-based simulation and artificial intelligence, enabling the rational design of stretchable conductors with tailored electrical and mechanical performance. Sheidaei’s work is instrumental in advancing next-generation wearable devices, soft robotics, and flexible electronics, positioning her as a key figure in the emerging field of data-driven materials science.