Alireza Tabarrae

Alireza Tabarraei is a Professor in the Department of Mechanical Engineering and Engineering Science at the University of North Carolina at Charlotte and an Affiliate Faculty member in the School of Data Science. His research lies at the intersection of artificial intelligence, computational mechanics, uncertainty quantification, and scientific computing.

His work focuses on developing physics-informed and data-driven methods for structural analysis, topology optimization, multiscale modeling, and reliability assessment under uncertainty. He is particularly interested in integrating machine learning, graph neural networks, generative AI, and quantum computing techniques with computational engineering methods to advance next-generation intelligent simulation and design frameworks.

Dr. Tabarraei’s research spans applications in advanced manufacturing, energy systems, material modeling, and structural design. His recent work includes AI-driven topology optimization, uncertainty-aware engineering models, quantum-enhanced computational methods, and hybrid machine learning frameworks for complex physical systems.

He has authored several publications in computational mechanics and engineering AI and actively collaborates on interdisciplinary research connecting artificial intelligence with engineering science and high-performance computational modeling.