Academic Credentials
  • Ph.D., Civil and Environmental Engineering, Massachusetts Institute of Technology (MIT), 2021
  • S.M., Mechanical Engineering, Massachusetts Institute of Technology (MIT), 2016
  • S.B., Mechanical Engineering, Massachusetts Institute of Technology (MIT), 2013
Licenses & Certifications
  • Applied Data Science with Python Specialization
Additional Education & Training
  • Graduate Teaching Assistant, 1.057: Heritage Science & Technology, MIT, Cambridge, MA, Fall 2019, Fall 2016.
  • Graduate Teaching Assistant, ONE-MA3: Materials in Art, Archaeology, and Architecture, MIT, Various cities, Italy, Summer 2019, Summer 2018, Summer 2016.
  • Graduate Teaching Assistant, 1.102: Civil and Environmental Engineering Design II, MIT, Cambridge, MA, Spring 2019.
  • Undergraduate Teaching Assistant, 8.02: Electricity & Magnetism, MIT, Cambridge, MA, Spring 2011, Fall 2010.
Languages
  • German

Dr. Maragh has experience solving complex, interdisciplinary problems in a variety of industries, including consumer electronics, batteries, and utilities. Her broad consulting experience includes failure analysis, root cause analysis, human factors testing, intellectual property disputes, and product recalls.  

In the utility space, Dr. Maragh has assisted clients in the performance of engineering critical assessment to meet regulations set forth by the Pipeline and Hazardous Materials Safety Administration (PHMSA). She has developed expertise in the collection, analysis, and interpretation of nondestructive field and destructive lab testing chemical composition data for low carbon steels in the context of integrity management, and she additionally assists utility clients with issues related to corrosion evaluation and tracking.

Her extensive laboratory experience includes scanning electron microscopy (SEM), quantitative energy dispersive X-ray spectroscopy (EDS), confocal Raman microscopy (CRM), computed tomography (CT), Fourier transform infrared spectroscopy (FTIR), optical microscopy (OM), microindentation testing, and nanoindentation testing.

Dr. Maragh has used her computational experience to develop tools and techniques to help her clients solve materials science problems using image processing, machine vision, and statistical techniques. During her PhD at the Massachusetts Institute of Technology, she used data science to interpret large sets of chemical characterization data to determine the materials from which poorly understood composites, such as Roman concrete, were made, and she used computational techniques to use rich chemical and mechanical characterization datasets to build highly representative finite element models (FEM). These techniques were ultimately used to better understand the mechanical behavior of ancient Roman concrete and the chemical processes that likely contributed to its durability.

Dr. Maragh's chemomechanical characterization doctoral work has also included studies of a range of complex composites, including the Dead Sea Scrolls, pigments, kidney stones, and Portland cement-based composites. In addition, she has developed numerical models and used 3D-printed scale model experiments to analyze the stability of free-standing unreinforced masonry structures, such as the columns of Pompeii. During her Master's research in the MIT Marine Robotics Group, Dr. Maragh developed methods to improve the cooperative localization and navigation of unmanned surface and underwater vehicles.