Georges Ayoub

Georges Ayoub serves as Associate Professor and Director of the Human-Centered Engineering Design program within the Industrial and Manufacturing Systems Engineering department at the University of Michigan-Dearborn's College of Engineering and Computer Science. His research bridges fundamental materials science with industrial applications across automotive, aerospace, defense, and biomedical sectors.

Dr. Ayoub's educational background includes:

• Ph.D. in Mechanics of Materials from University of Lille
• M.S. in Mechanical Engineering from University of Lille
• B.S. in Material Science for Mechanical Engineering from University of Rennes

His research centers on predictive material modeling for manufacturing and in-service performance, with core expertise in fracture/fatigue of polymers/composites, welding, metal forming, and additive manufacturing. Current work integrates experimental characterization with multi-scale computational models to address challenges in extreme environments, cyclic loading, and microstructural evolution. Key applications target automotive lightweighting, energy systems durability, and biomedical material performance.

Recent publications (2024) reveal three emerging trends: (1) Industry 5.0 digital twins for sheet metal processes, (2) dislocation-grain boundary interactions in advanced steels, and (3) strain hardening in ultrafine-grained metals. Earlier work (2010-2017) established foundational models for polymer visco-hyperelasticity, rubber fatigue, and dissimilar material welding - consistently emphasizing physically-based constitutive frameworks applicable to industrial design.

Dr. Ayoub actively mentors 17 graduate students across PhD and Master's programs while securing significant funding from Qatar National Research Fund (QNRF), French Ministry of Higher Education, and Ford Motor Company. Current projects include fatigue life prediction of elastomers, thermoplastic cyclic behavior modeling, magnesium alloy superplasticity, and lithium-ion battery separator aging.

He directs the Circular Materials and Advanced Manufacturing (CMAM) Lab, which pursues four integrated research thrusts: multi-scale material modeling, AI-driven manufacturing optimization, polymer/elastomer fatigue prediction, and plastic recyclability for circular economy. The lab maintains active collaborations with defense, energy, automotive, and biomedical industries.