| Porosity prediction: Supervised-learning of thermal history for direct laser deposition M Khanzadeh, S Chowdhury, M Marufuzzaman, MA Tschopp, L Bian Journal of manufacturing systems 47, 69-82, 2018 | 276 | 2018 |
| In-situ monitoring of melt pool images for porosity prediction in directed energy deposition processes M Khanzadeh, S Chowdhury, MA Tschopp, HR Doude, M Marufuzzaman, ... IISE Transactions 51 (5), 437-455, 2019 | 245 | 2019 |
| Botnet detection using graph-based feature clustering S Chowdhury, M Khanzadeh, R Akula, F Zhang, S Zhang, H Medal, ... Journal of Big Data 4, 1-23, 2017 | 166 | 2017 |
| Quantifying geometric accuracy with unsupervised machine learning: Using self-organizing map on fused filament fabrication additive manufacturing parts M Khanzadeh, P Rao, R Jafari-Marandi, BK Smith, MA Tschopp, L Bian Journal of Manufacturing Science and Engineering 140 (3), 031011, 2018 | 153 | 2018 |
| Dual process monitoring of metal-based additive manufacturing using tensor decomposition of thermal image streams M Khanzadeh, W Tian, A Yadollahi, HR Doude, MA Tschopp, L Bian Additive Manufacturing 23, 443-456, 2018 | 131 | 2018 |
| From in-situ monitoring toward high-throughput process control: cost-driven decision-making framework for laser-based additive manufacturing R Jafari-Marandi, M Khanzadeh, W Tian, B Smith, L Bian Journal of Manufacturing Systems 51, 29-41, 2019 | 98 | 2019 |
| Porosity detection of laser based additive manufacturing using melt pool morphology clustering M Khanzadeh, L Bian, N Shamsaei, SM Thompson Annual International Solid Freeform Fabrication Symposium (SFF), 8-10, 2016 | 38 | 2016 |
| A methodology for predicting porosity from thermal imaging of melt pools in additive manufacturing thin wall sections M Khanzadeh, S Chowdhury, L Bian, MA Tschopp International Manufacturing Science and Engineering Conference 50732 …, 2017 | 34 | 2017 |
| Self-organizing and error driven (SOED) artificial neural network for smarter classifications R Jafari-Marandi, M Khanzadeh, BK Smith, L Bian Journal of Computational Design and Engineering 4 (4), 282-304, 2017 | 25 | 2017 |
| Automated anomaly detection of laser-based additive manufacturing using melt pool sparse representation and unsupervised learning X Zhao, A Imandoust, M Khanzadeh, F Imani, L Bian University of Texas at Austin, 2021 | 15 | 2021 |
| Brain-inspired computing for in-process melt pool characterization in additive manufacturing R Chen, M Sodhi, M Imani, M Khanzadeh, A Yadollahi, F Imani CIRP Journal of Manufacturing Science and Technology 41, 380-390, 2023 | 11 | 2023 |
| Profiling and optimizing the geometric accuracy of additively manufactured components via self-organizing map M Khanzadeh, R Jafari Marandi, MS Tootooni, L Bian, B Smith, P Rao University of Texas at Austin, 2016 | 8 | 2016 |
| Heterogeneous quality characterization and modeling of thin wall structure in additive manufacturing R Chen, EW Reutzel, M Khanzadeh, F Imani Additive Manufacturing Letters 3, 100042, 2022 | 6 | 2022 |
| Fast prediction of thermal data stream for direct laser deposition processes using network-based tensor regression M Khanzadeh, M Dantin, W Tian, MW Priddy, H Doude, L Bian Journal of Manufacturing Science and Engineering 144 (4), 041004, 2022 | 6 | 2022 |
| Image-guided multi-response modeling and characterization of design defects in metal additive manufacturing F Imani, M Khanzadeh ASME International Mechanical Engineering Congress and Exposition 85567 …, 2021 | 6 | 2021 |
| Anomaly Detection of Laser-Based Metal Additive Manufacturing Using Neural-Variational Auto-Encoder S Rescsanski, A Yadollahi, M Khanzadeh, F Imani International Manufacturing Science and Engineering Conference 87233 …, 2023 | | 2023 |
| Fast Prediction of Thermal History for Direct Laser Deposition Processes Using Network-based Tensor Regression M Khanzadeh, W Tian, L Bian IIE Annual Conference. Proceedings, 1012-1017, 2019 | | 2019 |
| Advanced data analytic methodology for quality improvement in additive manufacturing M Khanzadehdaghalian Mississippi State University, 2019 | | 2019 |
| Data-driven calibration for infrared camera in additive manufacturing J Francis, M Khanzadeh, H Doude, V Hammond, L Bian International Journal of Rapid Manufacturing 8 (4), 302-325, 2019 | | 2019 |
| Reviewer’s Recognition J Agapiou, R Ahmad, A Ajri, R Ak, H Akbarzadeh, M Akermo, FA Niaki, ... Journal of Manufacturing Science and Engineering 140, 010201-1, 2018 | | 2018 |
Linkan BianThomas B. & Terri L. Nusz Professor, Mississippi State UniversityVerified email at ise.msstate.edu
