| Optimization of Electromagnetic Metasurface Parameters Satisfying Far-Field Criteria S Pearson, SV Hum IEEE Transactions on Antennas and Propagation 70 (5), 3477-3488, 2021 | 30 | 2021 |
| A combined machine-learning/optimization-based approach for inverse design of nonuniform bianisotropic metasurfaces P Naseri, S Pearson, Z Wang, SV Hum IEEE Transactions on Antennas and Propagation 70 (7), 5105-5119, 2021 | 23 | 2021 |
| Optimization of scalar and bianisotropic electromagnetic metasurface parameters satisfying far-field criteria S Pearson, SV Hum arXiv preprint arXiv:2011.09016, 2020 | 11 | 2020 |
| Using Augmented Lagrangian Methods to Design Electromagnetic Surfaces with Far Field Constraints S Pearson, SV Hum 2020 IEEE International Symposium on Antennas and Propagation and North …, 2020 | 7 | 2020 |
| A Beam-Splitting Bianisotropic Metasurface Designed by Optimization and Machine Learning S Pearson, P Naseri, SV Hum IEEE Open Journal of Antennas and Propagation 3, 798-811, 2022 | 3 | 2022 |
| Electromagnetic Metasurface Beam Shaping Using Far Field Masks S Pearson, SV Hum 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI …, 2022 | 2 | 2022 |
| Applying GSTCs in Electromagnetic Surface Inverse Design Using Optimization and Machine Learning S Pearson, P Naseri, Z Wang, SV Hum 2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI …, 2021 | 1 | 2021 |
| A Beam-Splitting Metasurface Designed by Optimization & Machine-Learning P Naseri, S Pearson, SV Hum 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI …, 2022 | | 2022 |
| Inverse Design and Experimental Verification of a Bianisotropic Metasurface Using Optimization and Machine Learning S Pearson, P Naseri, SV Hum arXiv preprint arXiv:2204.00433, 2022 | | 2022 |
