The Circular Materials and Advanced Manufacturing (CMAM) Laboratory at the University of Michigan–Dearborn conducts interdisciplinary research at the intersection of mechanics of materials, advanced manufacturing, and artificial intelligence. Our research focuses on understanding and predicting how engineering materials deform, degrade, and fail under mechanical and environmental conditions. By integrating experimental characterization, physics-based computational modeling, and data-driven approaches, we develop predictive frameworks that bridge fundamental material behavior with engineering design and manufacturing applications.

Understanding and predicting material deformation, fatigue, damage, and failure through experiments and physically based constitutive modeling. 

Developing computational models, AI-enabled surrogates, and digital twins to improve manufacturing process design, simulation, and optimization. 

Investigating the degradation, mechanical response, and failure of polymers and elastomers to improve durability and lifetime prediction. 

Advancing material recycling, reuse, and manufacturing technologies to support more efficient and sustainable material systems.