Mahsa Tajdari

Hierarchical Deep Learning Neural Network (HiDeNN): An artificial intelligence (AI) framework for computational science and engineering

Sourav Saha, Zhengtao Gan, Cheng Lin et al. · Computer Methods in Applied Mechanics and Engineering · 2020 · 177 citations

Artificial Intelligence, Ai Architecture, Computational Science +7

Clustering discretization methods for generation of material performance databases in machine learning and design optimization

Hengyang Li, Orion L. Kafka, Jiaying Gao et al. · Computational Mechanics · 2019 · 110 citations

Model Optimization, Discretization Methods, Data-driven Optimization +10

Image-based modelling for Adolescent Idiopathic Scoliosis: Mechanistic machine learning analysis and prediction

Mahsa Tajdari, Aishwarya Pawar, Hengyang Li et al. · Computer Methods in Applied Mechanics and Engineering · 2020 · 64 citations · Full text

Next-generation prognosis framework for pediatric spinal deformities using bio-informed deep learning networks

Mahsa Tajdari, Farzam Tajdari, Pouyan Shirzadian et al. · Engineering With Computers · 2022 · 24 citations

Engineering, Machine Learning, Medical Image Computing +8

Numerical study of smoothed particle hydrodynamics method in orthogonal cutting simulations – Effects of damage criteria and particle density

Behrouz Takabi, Mahsa Tajdari, Bruce L. Tai · Journal of Manufacturing Processes · 2017 · 23 citations

Near-field Hydrodynamics, Engineering, Damage Criteria +10