| Deep learning for magnetic field estimation A Khan, V Ghorbanian, D Lowther IEEE Transactions on Magnetics 55 (6), 1-4, 2019 | 109 | 2019 |
| Efficiency map prediction of motor drives using deep learning A Khan, MH Mohammadi, V Ghorbanian, D Lowther IEEE Transactions on Magnetics 56 (3), 1-4, 2020 | 51 | 2020 |
| Physics informed neural networks for electromagnetic analysis A Khan, DA Lowther IEEE Transactions on Magnetics 58 (9), 1-4, 2022 | 34 | 2022 |
| Machine learning applied to the design and analysis of low frequency electromagnetic devices A Khan, DA Lowther 2020 21st International Symposium on Electrical Apparatus & Technologies …, 2020 | 10 | 2020 |
| Reinforcement learning for topology optimization of a synchronous reluctance motor A Khan, C Midha, D Lowther IEEE Transactions on Magnetics 58 (9), 1-4, 2022 | 9 | 2022 |
| Sequence-based environment for topology optimization A Khan, C Midha, DA Lowther IEEE Transactions on Magnetics 56 (3), 1-4, 2020 | 9 | 2020 |
| Generalizable DNN based multi-material Hysteresis Modelling S Cesay, P Teng, R Wang, H Yue, A Khan, D Lowther 2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation …, 2022 | 3 | 2022 |
| Transfer learning for efficiency map prediction A Khan, MH Mohammadi, V Ghorbanian, D Lowther 2020 IEEE 19th Biennial Conference on Electromagnetic Field Computation …, 2020 | 3 | 2020 |
| Evaluating magnetic fields using deep learning MM Rahman, A Khan, D Lowther, D Giannacopoulos COMPEL-The international journal for computation and mathematics in …, 2023 | 1 | 2023 |
| Generalizable deep neural network based multi-material hysteresis modeling A Khan, S Ceesay, YP Teng, R Wang, H Yue, D Lowther 2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation-Long …, 2022 | 1 | 2022 |
| Statistical methods for design and analysis of electrical machines A Khan McGill University (Canada), 2021 | | 2021 |
Vahid GhorbanianSr. E-Motor Designer - Dana TM4Verified email at mail.mcgill.ca
