Bio

Dr. Renteria earned her Bachelor of Science in Industrial and Systems Engineering from the Monterrey Institute of Technology and Higher Education, Juarez, Mexico. In addition, Dr. Renteria holds a Master of Science in Industrial Engineering and a Doctor of Philosophy in Mechanical Engineering from the University of Texas at El Paso. She is an active member of the American Society of Mechanical Engineers (ASME). Her research interest lies in Multi-Material Additive Manufacturing (MMAM) with a focus on process and design optimization for the fabrication of complex and functional devices using ceramics, polymers, and metals for sensing, and energy applications. In addition, Dr. Renteria employs experimental and computational data for material property prediction, physics-of-failure analysis, and design optimization using machine learning approaches. Her research has result in 15 peer-review journals since 2018.

• Ph D in Mechanical Engineering, The University of Texas at El Paso (2021)
• MS in Industrial Engineering, University of Texas at El Paso (2017)
• BS in Industrial and Systems Engineering, Monterrey Institute of Technology (2014)

Publications

• Uncertainty Quantification of Additively Manufactured Architected Cellular Materials for Energy Absorption Applications AMSE Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering (2024), Anabel Renteria Marquez.
• Direct Ink-Write Printing of Ceramic Clay with an Embedded Wireless Temperature and Relative Humidity Sensor Sensors (2023), Yirong Lin, Anabel Renteria Marquez.
• Optimal sensor placement for permanent magnet synchronous motor condition monitoring using digital twin-assisted fault diagnosis approach Reliability Engineering & System Safety 242 (2023), Anabel Renteria Marquez.
• Data-driven design of High Electron Mobility Transistor Devices Using Physics-Informed Gaussian Process Modeling International Design Engineering Technical Conferences and Computers and Information in Engineering 87318 (2023), Anabel Renteria Marquez.
• Sensor Network Design for Permanent Magnet Synchronous Motor Fault Diagnosis International Design Engineering Technical Conferences and Computers and Information in Engineering 87301 (2023), Anabel Renteria Marquez.

Presentations

• A generalized framework for resilient optimal sensor placement and fault diagnosis within energy systems (2024), Anabel Renteria Marquez.

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