| An efficient PDE-constrained stochastic inverse algorithm for probabilistic geotechnical site characterization using geophysical measurements SS Parida, K Sett, P Singla Soil Dynamics and Earthquake Engineering 109, 132-149, 2018 | 15 | 2018 |
| Model-data fusion for spatial and statistical characterization of soil parameters from geophysical measurements SS Parida, K Sett, P Singla Soil Dynamics and Earthquake Engineering 124, 35-57, 2019 | 11 | 2019 |
| A data-driven physics-informed stochastic framework for hurricane-induced risk estimation of transmission tower-line systems under a changing climate R Snaiki, SS Parida Engineering Structures 280, 115673, 2023 | 8 | 2023 |
| Model‐data fusion for seismic performance evaluation of an instrumented highway bridge SS Parida, A Nikellis, K Sett, P Singla Earthquake Engineering & Structural Dynamics 49 (14), 1559-1578, 2020 | 8 | 2020 |
| SVD enabled data augmentation for machine learning based surrogate modeling of non-linear structures SS Parida, S Bose, M Butcher, G Apostolakis, P Shekhar Engineering Structures 280, 115600, 2023 | 5 | 2023 |
| Climate change effects on loss assessment and mitigation of residential buildings due to hurricane wind R Snaiki, SS Parida Journal of Building Engineering 69, 106256, 2023 | 3 | 2023 |
| Earthquake data augmentation using wavelet transform for training deep learning based surrogate models of nonlinear structures SS Parida, S Bose, G Apostolakis Structures 55, 638-649, 2023 | 2 | 2023 |
| Model-data fusion for probabilistic analysis of civil infrastructures SS Parida State University of New York at Buffalo, 2019 | 2 | 2019 |
| Machine Learning Based Surrogate Model to Predict Engineering Demand Parameters SS Parida, M Butcher, S Bose, G Apostolakis, P Shekhar 12th national conference on earthquake engineering. Salt Lake City, Utah, USA, 2022 | 1 | 2022 |
| Stochastic waveform inversion for probabilistic geotechnical site characterization SS Parida, K Sett, P Singla 5th International Conference on Geotechnical and Geophysical Site …, 2016 | 1 | 2016 |
| Solving Inverse Problems Using Finite-Element Physics Informed Neural Networks in Presence of Noise AL Starleaf, SS Parida | | 2024 |
| Solving Inverse Problems Using Finite-Element Physics Informed Neural Networks in Presence of Noise A Lore Starleaf, SS Parida | | 2024 |
| Predicting Atmospheric Water-Soluble Organic Mass Reversibly Partitioned to Aerosol Liquid Water in the Eastern United States MMH El-Sayed, SS Parida, P Shekhar, A Sullivan, CJ Hennigan Environmental Science & Technology 57 (46), 18151-18161, 2023 | | 2023 |
| Ray-based SAFT for imaging concrete structures from ultrasonic data K Dinh, K Tran, J Brown, CC Ferraro, S Parida Nondestructive Characterization and Monitoring of Advanced Materials …, 2023 | | 2023 |
| Machine learning based surrogate modeling with SVD enabled training for nonlinear civil structures subject to dynamic loading SS Parida, S Bose, M Butcher, G Apostolakis, P Shekhar arXiv preprint arXiv:2206.05720, 2022 | | 2022 |
| Using Machine Learning in Estimating Changing Bed Shear over a Flume Test Box GS Ellithy, SS Parida Geo-Congress 2022, 395-405, 2022 | | 2022 |
| Probabilistic Geotechnical Site Characterization from Geophysical Measurements Using Model-Data Fusion SS Parida, K Sett, P Singla Geotechnical Earthquake Engineering and Soil Dynamics V, 489-498, 2018 | | 2018 |
| Probabilistic geotechnical site characterization through stochastic inverse analysis of geophysical test measurements SS Parida State University of New York at Buffalo, 2017 | | 2017 |
| Towards Optimal Information Gain for Judicious Positioning of Sensors in Geophysical Tests SS Parida, K Sett, P Singla Geo-Risk 2017, 497-506, 2017 | | 2017 |
Puneet SinglaAerospace Engineering, The Pennsylvania State UniversityVerified email at psu.edu
