| Multi-objective CFD optimizations of water spray injection in gas-turbine combustors E Amani, MR Akbari, S Shahpouri Fuel 227, 267-278, 2018 | 38 | 2018 |
| Deep learning based model predictive control for compression ignition engines A Norouzi, S Shahpouri, D Gordon, A Winkler, E Nuss, D Abel, J Andert, ... Control Engineering Practice 127, 105299, 2022 | 28 | 2022 |
| Nitrogen oxides reduction and performance enhancement of combustor with direct water injection and humidification of inlet air S Shahpouri, E Houshfar Clean Technologies and Environmental Policy 21, 667-683, 2019 | 26 | 2019 |
| Soot emission modeling of a compression ignition engine using machine learning S Shahpouri, A Norouzi, C Hayduk, R Rezaei, M Shahbakhti, CR Koch IFAC-PapersOnLine 54 (20), 826-833, 2021 | 19 | 2021 |
| Hybrid machine learning approaches and a systematic model selection process for predicting soot emissions in compression ignition engines S Shahpouri, A Norouzi, C Hayduk, R Rezaei, M Shahbakhti, CR Koch Energies 14 (23), 7865, 2021 | 16 | 2021 |
| Laminar flame speed modeling for low carbon fuels using methods of machine learning S Shahpouri, A Norouzi, C Hayduk, A Fandakov, R Rezaei, CR Koch, ... Fuel 333, 126187, 2023 | 13 | 2023 |
| Hybrid physical and machine learning-oriented modeling approach to predict emissions in a diesel compression ignition engine A Mohammad, R Rezaei, C Hayduk, TO Delebinski, S Shahpouri, ... SAE Technical Paper, 2021 | 13 | 2021 |
| Physical-oriented and machine learning-based emission modeling in a diesel compression ignition engine: Dimensionality reduction and regression A Mohammad, R Rezaei, C Hayduk, T Delebinski, S Shahpouri, ... International Journal of Engine Research 24 (3), 904-918, 2023 | 10 | 2023 |
| Machine learning integrated with model predictive control for imitative optimal control of compression ignition engines A Norouzi, S Shahpouri, D Gordon, A Winkler, E Nuss, D Abel, J Andert, ... IFAC-PapersOnLine 55 (24), 19-26, 2022 | 10 | 2022 |
| Safe deep reinforcement learning in diesel engine emission control A Norouzi, S Shahpouri, D Gordon, M Shahbakhti, CR Koch Proceedings of the Institution of Mechanical Engineers, Part I: Journal of …, 2023 | 8 | 2023 |
| Hybrid emission and combustion modeling of hydrogen fueled engines S Shahpouri, D Gordon, C Hayduk, R Rezaei, CR Koch, M Shahbakhti International Journal of Hydrogen Energy 48 (62), 24037-24053, 2023 | 5 | 2023 |
| Integration of Deep Learning and Nonlinear Model Predictive Control in Emission reduction of Compression Ignition Combustion Engines: A Simulative Study A Norouzi, S Shahpouri, D Gordon, A Winkler, E Nuss, J Andert, ... arXiv Preprint, 2022 | 2 | 2022 |
| Machine Learning for Emission Modeling of Fossil-fueled and Hydrogen-fueled Internal Combustion Engines S Shahpouri | | 2023 |
| Tailpipe NOx Emission Dataset S Shahpouri, L Jiang, CR Koch, M Shahbakhti | | 2023 |
| Deep Reinforcement Learning for Emission Control in Diesel Engines D Gordon, A Norouzi, S Shahpouri, M Shahbakhti, CR Koch | | 2022 |
| Deep Learning and Nonlinear Model Predictive Control Integration for Compression Ignition Engine Emission Reduction A Norouzi, S Shahpouri, D Gordon, A Winkler, E Nuss, J Andert, ... | | 2022 |
| Machine Learning Modeling of Soot Emissions in a Medium Duty Diesel Engine S Shahpouri, A Norouzi, C Hayduk, R Rezaei, M Shahbakhti, CR Koch | | 2022 |
| Laminar Flame Speed Modeling of Hydrogen, Methanol and Ammonia Using Machine Learning of Machine Learning S Shahpouri, A Norouzi, C Hayduk, A Fandakov, R Rezaei, CR Koch, ... | | 2022 |
Mahdi ShahbakhtiAssociate Professor of Mech Eng, University of AlbertaVerified email at ualberta.ca
