| Vibration‐based structural condition assessment using convolution neural networks H Khodabandehlou, G Pekcan, MS Fadali Structural Control and Health Monitoring 26 (2), e2308, 2019 | 42 | 2019 |
| Active neural predictive control of seismically isolated structures H Khodabandehlou, G Pekcan, MS Fadali, MMA Salem Structural Control and Health Monitoring 25 (1), e2061, 2018 | 14 | 2018 |
| A quotient gradient method to train artificial neural networks H Khodabandehlou, MS Fadali 2017 International Joint Conference on Neural Networks (IJCNN), 2576-2581, 2017 | 14* | 2017 |
| Echo state versus wavelet neural networks: Comparison and application to nonlinear system identification H Khodabandehlou, MS Fadali IFAC-PapersOnLine 50 (1), 2800-2805, 2017 | 10 | 2017 |
| Application of distributed compressive sensing to power system state estimation RJ Hamidi, H Khodabandehlou, H Livani, MS Fadali 2015 North American Power Symposium (NAPS), 1-6, 2015 | 10 | 2015 |
| Networked control of unmanned vehicle using wavelet-based generalized predictive controller H Khodabandehlou, MS Fadali 2016 International Joint Conference on Neural Networks (IJCNN), 5226-5233, 2016 | 7 | 2016 |
| Automatic real‐time calibration, assessment, and maintenance of generic Raman models for online monitoring of cell culture processes A Tulsyan, T Wang, G Schorner, H Khodabandehlou, M Coufal, C Undey Biotechnology and Bioengineering 117 (2), 406-416, 2020 | 6 | 2020 |
| Event Classification in Distribution Networks Using a Quotient Gradient System H Khodabandehlou, I Niazazari, H Livani, MS Fadali 2019 North American Power Symposium (NAPS), 1-6, 2019 | 6* | 2019 |
| A machine‐learning approach to calibrate generic Raman models for real‐time monitoring of cell culture processes A Tulsyan, G Schorner, H Khodabandehlou, T Wang, M Coufal, C Undey Biotechnology and bioengineering 116 (10), 2575-2586, 2019 | 6 | 2019 |
| Hybrid state estimation using distributed Compressive Sensing RJ Hamidi, H Khodabandelou, H Livani, M Sami-Fadali 2016 IEEE Power and Energy Society General Meeting (PESGM), 1-5, 2016 | 5 | 2016 |
| Nonlinear System Identification using Neural Networks and Trajectory-Based Optimization H Khodabandehlou, MS Fadali 16th International Conference on Informatics in Control, Automation and …, 2019 | 2 | 2019 |
| Networked Model Predictive Control Using a Wavelet Neural Network H Khodabandehlou, MS Fadali Advanced Control for Applications 2 (4), 2020 | 1 | 2020 |
| Adaptive Matching Pursuit based Online Identification and Control Scheme for Nonlinear Systems H Khodabandehlou arXiv preprint arXiv:1803.01897, 2018 | 1 | 2018 |
| Training recurrent neural networks via dynamical trajectory-based optimization H Khodabandehlou, MS Fadali Neurocomputing 368, 1-10, 2019 | | 2019 |
| Spectroscopic model calibration in biomanufacturing using just-in-time learning A Tulsyana, H Khodabandehloub, T Wangb, G Schornerc, M Coufala, ... | | 2019 |
| Neural Networks: Training and Application to Nonlinear System Identification and Control H Khodabandehlou | | 2018 |
