| Analysis of Generative Adversarial Networks for Data-Driven Inverse Airfoil Design P Gupta, P Tyagi, RK Singh Proceedings of International Conference on Information Technology and …, 2022 | 3 | 2022 |
| A natural evolution based numerical optimisation framework to develop and enhance airfoil-slat arrangement S Kumar, P Gupta, RK Singh ASME international mechanical engineering congress and exposition 59445 …, 2019 | 3 | 2019 |
| Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder P Gupta, PJ Schmid, D Sipp, T Sayadi, G Rigas arXiv preprint arXiv:2310.10745, 2023 | 1 | 2023 |
| Metaheuristic Optimization Framework for Drag Reduction Using Bioinspired Surface Riblets A Ghosh, P Gupta, RK Singh arXiv preprint arXiv:2109.09650, 2021 | 1 | 2021 |
| A Quantitative Analysis of Machine Learning Based Regressors for Pressure Reconstruction in Particle Image Velocimetry Applications M Basu, S Kumar, P Gupta, R Kumar Singh Fluids Engineering Division Summer Meeting 83716, V001T02A016, 2020 | 1 | 2020 |
| Metaheuristic Optimization of Dual-Element Vertical Axis Wind Turbine Using Genetic Algorithm S Kumar, P Gupta, RK Singh Gas Turbine India Conference 83532, V002T06A011, 2019 | 1 | 2019 |
| Inverse Airfoil Design Using Generative Adversarial Network P Gupta, P Tyagi, RK Singh APS Division of Fluid Dynamics Meeting Abstracts, S02. 027, 2020 | | 2020 |
| Enhancement of Slat Airfoil Configuration using Invasive Weed Optimization Framework coupled with Artificial Neural Networks S Kumar, P Gupta, R Kumar Singh APS Division of Fluid Dynamics Meeting Abstracts, A12. 006, 2019 | | 2019 |
Sushrut KumarJohns Hopkins UniversityVerified email at jhu.edu
