Khadijeh Sangtarash

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About

Khadijeh Sangtarash is a pioneering researcher at the intersection of additive manufacturing and artificial intelligence, with a primary focus on 4D printing—a transformative technology that enables 3D-printed objects to change shape or function over time in response to external stimuli. Her most influential work, "4D printing modeling via machine learning" (2022), has garnered 6 citations and represents a critical step forward in predictive modeling for smart materials. By integrating machine learning algorithms with material behavior simulations, Sangtarash has developed frameworks that allow researchers to anticipate and control the dynamic responses of printed structures, reducing trial-and-error in experimental design. This contribution is particularly impactful for applications in soft robotics, biomedical devices, and adaptive aerospace components. Her research bridges computational modeling and experimental validation, offering a systematic approach to designing self-morphing materials. Sangtarash’s work has been recognized for its novelty in combining data-driven techniques with physical principles, positioning her as a rising voice in the field of intelligent manufacturing. For students and researchers, her studies provide a roadmap for leveraging AI to accelerate innovation in responsive material systems.