| Hierarchical deep learning neural network (HiDeNN): An artificial intelligence (AI) framework for computational science and engineering S Saha, Z Gan, L Cheng, J Gao, OL Kafka, X Xie, H Li, M Tajdari, HA Kim, ... Computer Methods in Applied Mechanics and Engineering 373, 113452, 2021 | 124 | 2021 |
| Clustering discretization methods for generation of material performance databases in machine learning and design optimization H Li, OL Kafka, J Gao, C Yu, Y Nie, L Zhang, M Tajdari, S Tang, X Guo, ... Computational Mechanics 64, 281-305, 2019 | 99 | 2019 |
| Image-based modelling for adolescent idiopathic scoliosis: mechanistic machine learning analysis and prediction M Tajdari, A Pawar, H Li, F Tajdari, A Maqsood, E Cleary, S Saha, ... Computer methods in applied mechanics and engineering 374, 113590, 2021 | 63 | 2021 |
| Numerical study of smoothed particle hydrodynamics method in orthogonal cutting simulations–Effects of damage criteria and particle density B Takabi, M Tajdari, BL Tai Journal of Manufacturing Processes 30, 523-531, 2017 | 25 | 2017 |
| Discrete time delay feedback control of stewart platform with intelligent optimizer weight tuner F Tajdari, M Tajdari, A Rezaei 2021 IEEE International Conference on Robotics and Automation (ICRA), 12701 …, 2021 | 24 | 2021 |
| Regularizing biomechanical maps for partially known material properties Y Mei, M Tajderi, S Goenezen International Journal of Applied Mechanics 9 (02), 1750020, 2017 | 22 | 2017 |
| Next-generation prognosis framework for pediatric spinal deformities using bio-informed deep learning networks M Tajdari, F Tajdari, P Shirzadian, A Pawar, M Wardak, S Saha, C Park, ... Engineering with Computers 38 (5), 4061-4084, 2022 | 17 | 2022 |
| Modeling of brittle and ductile materials drilling using smoothed-particle hydrodynamics M Tajdari, BL Tai International Manufacturing Science and Engineering Conference 49903 …, 2016 | 9 | 2016 |
| 2d to 3d volumetric reconstruction of human spine for diagnosis and prognosis of spinal deformities M Tajdari, F Tajdari, A Pawar, J Zhang, WK Liu Conference: 16th US national congress on computational mechanics, 2021 | 8 | 2021 |
| Artificial intelligence data-driven 3D model for AIS M Tajdari, A Maqsood, H Li, S Saha, JF Sarwark, WK Liu Research into Spinal Deformities 9, 141-145, 2021 | 3 | 2021 |
| Modeling of Brittle and Ductile Material Drilling Using Smoothed-Particle Hydrodynamics M Tajdari | 2 | 2016 |
| Bio-Informed Image-Based Deep Learning Frameworks for Prognosis of Pediatric Spinal Deformities M Tajdari Northwestern University, 2022 | | 2022 |
| Research objective H LI, M TAJDARI Strain 2800, 3100, 2019 | | 2019 |
| Introduction to mechanistic data-driven methods for engineering, mechanical science and mechanics of materials: difficulties in purely data-driven approaches for machine … H Li, M Tajdari, S Mojumder, S Saha, P Cheng, OL Kafka, J Gao, C Yu, ... | | 2019 |
