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Maryam Shakiba is joining the Ann and H.J. Smead Department of Aerospace Engineering Sciences in August 2022 as an assistant professor.

Before joining CU ÐßÐßÊÓƵ, she was an assistant professor at Virginia Tech. While at Virginia Tech, she was recognized with an AFOSR Young Investigator Program (YIP) award, and three NSF awards, including the NSF CAREER award.

Her research focuses on computational modeling of high-performance materials under coupled effects of mechanical loading and extreme conditions.

Her research goal is twofold. First, developing theoretical frameworks to understand advanced material responses under extreme multi-physics conditions. Second, integrating the theoretical framework with machine learning approaches as physics-based machine learning is key to creating true digital twins.

This combination will enable the design of high-performance, smart and multi-functional materials. Moreover, such improved physics, chemistry, mechanic, and data-based models allow the address of challenges such as manufacturing innovative designs for extreme conditions and creating digital twins for efficient autonomy.

She has been working in collaboration with Mechanical Engineers, Materials Scientists, and Chemists to design high-temperature resistant and additively manufactured composites, create fatigue-resistant superelastic composites for infrastructure applications, retrofit structures under a highly corrosive environment, and tackle plastic degradation and pollution in the ocean and atmosphere.

Shakiba earned a Bachelor and Master’s of Science in Civil Engineering from The University of Amirkabir and earned her Doctor of Philosophy in Structural Engineering from Texas A&M University in December 2013. Then, she was a post-doctoral research associate at the University of Illinois at Urbana-Champaign, working on a project in collaboration with the Air Force Research Lab (AFRL) and funded by the AFOSR.