Mohsen Taheri Andani

Mohsen Taheri Andani is an Assistant Professor in the Department of Mechanical Engineering at Texas A&M University. He holds a Ph.D. in Mechanical Engineering from the University of Michigan (2022), an M.Sc. in Materials Science and Engineering from the University of Michigan (2018), an M.Sc. in Mechanical Engineering from the University of Toledo (2015), and a B.Sc. in Mechanical Engineering from Isfahan University of Technology (2012). His research focuses on the processing-structure-properties relationships of advanced materials, additive manufacturing, physical/ mechanical metallurgy, and mechanical behavior of materials, with a particular emphasis on grain boundary engineering and crystallographic texture control in metals processed via additive manufacturing methods.

Dr. Andani has received prestigious awards including the 2022 Robert M. Caddell Memorial Award for Research, the 2021 Richard and Eleanor Towner Prize for Outstanding Ph.D. Research, and the 2020 Ivor K. McIvor Award, all from the University of Michigan. His work bridges fundamental materials science with advanced manufacturing technologies, aiming to optimize material performance through multiscale control of microstructures.

His research group, the Multiscale Manufacturing and Mechanics of Materials (M4) Lab, explores the interface between additive manufacturing and materials mechanics. Current projects include the Center for Scientific Machine Learning for Material Sciences (AFSOR), reducing qualification time in additive manufacturing (America Makes), and structural evaluation via non-contact sensors (DARPA). He actively seeks motivated Ph.D. students for Fall 2025 and welcomes undergraduate/master’s students to join his team.

Dr. Andani’s publications emphasize experimental and computational studies of microstructural evolution in additively manufactured metals, including grain boundary effects on dislocation dynamics, crystallographic texture control in NiTi alloys, and thermomechanical property optimization of materials like 316L stainless steel and Cu-Cr-Zr alloys. His work integrates in situ characterization techniques with advanced modeling to predict and enhance material performance.