| Vibration‐based structural condition assessment using convolution neural networks H Khodabandehlou, G Pekcan, MS Fadali Structural Control and Health Monitoring 26 (2), e2308, 2019 | 204 | 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 | 50 | 2019 |
| 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 | 46 | 2020 |
| 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 | 35 | 2018 |
| Spectroscopic models for real‐time monitoring of cell culture processes using spatiotemporal just‐in‐time Gaussian processes A Tulsyan, H Khodabandehlou, T Wang, G Schorner, M Coufal, C Undey AIChE Journal 67 (5), e17210, 2021 | 19 | 2021 |
| 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 | 16 | 2015 |
| 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 | 15 | 2016 |
| 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 |
| Nonlinear System Identification using Neural Networks and Trajectory-Based Optimization H Khodabandehlou, MS Fadali 16th International Conference on Informatics in Control, Automation and …, 2019 | 11 | 2019 |
| Echo state versus wavelet neural networks: comparison and application to nonlinear system identification H Khodabandehlou, MS Fadali IFAC-PapersOnLine 50 (1), 2800-2805, 2017 | 11 | 2017 |
| 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 | 10 | 2016 |
| Model predictive controller design for bioprocesses based on machine learning algorithms M Rashedi, H Khodabandehlou, M Demers, T Wang, C Garvin IFAC-PapersOnLine 55 (7), 45-50, 2022 | 9 | 2022 |
| 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 | 9* | 2019 |
| Training recurrent neural networks via dynamical trajectory-based optimization H Khodabandehlou, MS Fadali Neurocomputing 368, 1-10, 2019 | 4 | 2019 |
| Networked Model Predictive Control Using a Wavelet Neural Network H Khodabandehlou, MS Fadali Advanced Control for Applications 2 (4), 2020 | 3 | 2020 |
| Machine learning‐based model predictive controller design for cell culture processes M Rashedi, M Rafiei, M Demers, H Khodabandehlou, T Wang, A Tulsyan, ... Biotechnology and Bioengineering 120 (8), 2144-2159, 2023 | 2 | 2023 |
| Adaptive Matching Pursuit based Online Identification and Control Scheme for Nonlinear Systems H Khodabandehlou arXiv preprint arXiv:1803.01897, 2018 | 1 | 2018 |
| Just-In-Time Learning With Variational Autoencoder For Cell Culture Process Monitoring And/Or Control M Rashedi, H Khodabandehlou, TY Wang, A Tulsyan US Patent App. 18/367,580, 2024 | | 2024 |
| Cell culture product quality attribute prediction using convolutional neural networks and Raman spectroscopy H Khodabandehlou, M Rashedi, T Wang, A Tulsyan, G Schorner, ... Biotechnology and Bioengineering, 2024 | | 2024 |
| Hybrid Predictive Modeling for Control of Cell Culture M Rashedi, H Khodabandehlou, S Rafieishishavan, MN Demers, ... US Patent App. 18/113,967, 2023 | | 2023 |
