Nikolaos Napoleon Vlassis

Computational solid mechanics leveraging machine learning to address challenges in multiscale material modeling and design. Interpretable machine learning, geometric deep learning, and generative AI techniques are utilized for constitutive modeling and microstructure characterization with non-Euclidean descriptors while respecting physics constraints. Current projects focus on predicting mechanical behavior and designing materials across scales with the help of AI, aiming to surpass human modeling capacity while grounded in fundamental mechanics principles.

• Ph.D., Civil Engineering & Engineering Mechanics, Columbia University, 2021 
• M.S., Civil Engineering, National Technical University of Athens, 2017 
• B.S., Civil Engineering, National Technical University of Athens, 2017