| The efficacy of conservation practices in reducing floods and improving water quality S Srivastava, A Basche, E Traylor, T Roy Frontiers in Environmental Science 11, 1136989, 2023 | 1 | 2023 |
| A Machine Learning-Based Probabilistic Approach for Irrigation Scheduling S Srivastava, N Kumar, A Malakar, S Das Choudhury, C Ray, T Roy Water Resources Management, 1-15, 2024 | | 2024 |
| Causal Discovery Methods to Investigate Rain-on-Snow Flooding N Kumar, KK Kar, S Srivastava, SR Koya, S Pokharel, M Likins, T Roy AGU23, 2023 | | 2023 |
| Application of Reinforcement Learning to Represent Human-Flood Interactions S Srivastava, B Zhang, MJ Hayes, T Tadesse, T Roy AGU23, 2023 | | 2023 |
| An autoencoder-based snow drought index S Rasiya Koya, KK Kar, S Srivastava, T Tadesse, M Svoboda, T Roy Scientific Reports 13 (1), 20664, 2023 | | 2023 |
| Integrated flood risk assessment of properties and associated population at county scale for Nebraska, USA S Srivastava, T Roy Scientific Reports 13 (1), 19702, 2023 | | 2023 |
| An Autoencoder-based Snow Drought Index SR Koya, KK Kar, S Srivastava, T Tadesse, M Svoboda, T Roy arXiv preprint arXiv:2305.13646, 2023 | | 2023 |
| An ML-based Probabilistic Approach for Irrigation Scheduling S Srivastava, N Kumar, A Malakar, S Das Choudhury, C Ray, T Roy EGU General Assembly Conference Abstracts, EGU-8388, 2023 | | 2023 |
| SnoDRI: A Machine Learning Based Index to Measure Snow Droughts SR Koya, KK Kar, S Srivastava, T Roy EGU23, 2023 | | 2023 |
| Development of a Flood Risk Framework in Context to Public Health Across Nebraska, United States. S Srivastava, T Roy AGU Fall Meeting Abstracts 2022, GH52A-07, 2022 | | 2022 |
| Development of a Flood Risk Framework in Context to Public Health Across the United States S Srivastava, T Roy Frontiers in Hydrology 2022, 205-06, 2022 | | 2022 |
NISHANT KUMARPh.D. Student, University of Nebraska-LincolnVerified email at huskers.unl.edu
