S. E. Ghasemi

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Total Citations

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About

S. E. Ghasemi is a rising researcher at the forefront of integrating advanced computational methods with additive manufacturing. Their primary research areas include 4D printing, machine learning, and predictive modeling for smart materials. Ghasemi’s most notable contribution is the pioneering work "4D printing modeling via machine learning" (2022), which has already garnered 6 citations—a strong early impact for a recent publication. This study bridges the gap between data-driven algorithms and the dynamic behavior of shape-morphing structures, offering a novel framework for designing materials that respond to environmental stimuli over time. By applying machine learning to model the complex, time-dependent transformations inherent in 4D printing, Ghasemi has opened new pathways for creating adaptive devices, from biomedical implants to soft robotics. Their work stands out for its interdisciplinary approach, combining materials science, mechanical engineering, and artificial intelligence. As a young investigator, Ghasemi’s growing citation record signals a promising trajectory, with potential to influence both theoretical modeling and practical applications in next-generation manufacturing.