Mahsa Tajdari

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

Sourav Saha, Zhengtao Gan, Jiaying Gao et al. · Computer Methods in Applied Mechanics and Engineering · 2020 · 182 citations

Computing, Computational Engineering, Computer Science +12

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 · 112 citations

Natural Sciences, Materials Engineering, Materials Science +17

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

Medicine, Orthopaedic Surgery, Orthopedic Surgery +17

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

Medicine, Biomedical Engineering, Pediatrics +13

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

Engineering, Computational Engineering, Mechanical Engineering +16