Sustainable Development Goals
Research interests
• Metallurgy
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Mechanical properties
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Alloys
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Machine Learning
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Fracture
Profile
Dr. Miriam Aguilar Sánchez is a Professor-Researcher at the Universidad Autónoma Metropolitana, Azcapotzalco Campus, where she has been affiliated since 2005. Her academic background includes a degree in Metallurgical Engineering, a Master’s, and a Doctorate in Materials Science and Engineering, with a broad research focus that encompasses the development of materials through casting and electrochemical processes, as well as the study of their mechanical properties via microstructural modification.
Throughout her career at UAM, she has had the opportunity to contribute in various areas, from the selection of projects in PRODEP to participation in University Councils and administrative leadership as Head of the Department of Materials. In terms of developing new professionals, she has mentored 10 undergraduate students and 2 master’s students, guiding them in projects that explore the fundamentals and advanced applications of materials science.
Her experience also includes collaborations with industry; recently, she developed a project for the company Flexitech, evaluating the performance and durability of a deposited Zn-Ni film optimized to enhance its resilience in industrial applications. Additionally, in recent years, she has expanded her research to the study of welded material properties and has recently joined an interdisciplinary working group that evaluates the mechanical properties of metals using Artificial Intelligence algorithms. This effort has borne its first fruit with the publication of the article titled "A new machine learning-based evaluation of ductile fracture" in *Engineering Fracture Mechanics*. This innovative line of research addresses the need for modern tools in materials evaluation, integrating advanced technology to improve the understanding and prediction of their behavior in various applications.
Information provided by the academic staff