Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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The Fate of Minnesota Lakes in the Next Century
Ebtehaj, A. (PI), Hondzo, M. (CoI) & Kumar, V. (CoI)
LEGISLATIVE-CITIZEN COMMISSION ON MN RES
7/1/24 → 7/31/27
Project: Research project
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III: Medium: Advancing Deep Learning for Inverse Modeling
Kumar, V. (PI) & Steinbach, M. (CoI)
THE NATIONAL SCIENCE FOUNDATION
8/1/23 → 7/31/26
Project: Research project
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AI-CLIMATE (Artificial Intelligence Institute for Climate-Land Interactions, Mitigations, Adaption, Trade-Offsand Economy)
Shekhar, S. (PI), Babcock, C. R. (Other Role), Chiang, Y.-Y. (Other Role), Gini, M. L. (Other Role), Griffis, T. J. (Other Role), Hong, M. (Other Role), Jin, Z. (Other Role), Johnson, J. A. (Other Role), Jordan, N. R. (Other Role), Kumar, V. (Other Role), Mulla, D. J. (Other Role), Papanikolopoulos, N. P. (Other Role), Pardey, P. G. (Other Role), Roop, H. A. (Other Role), Runck, B. C. (Other Role), Steinbach, M. (Other Role), Sun, J. (Other Role), Wilgenbusch, J. (Other Role) & Zobel, J. M. (Other Role)
USDA Nat'l Inst. of Food & Agriculture
6/1/23 → 5/31/26
Project: Research project
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STC: Learning the Earth with Artificial Intelligence and Physics (LEAP)
Kumar, V. (PI)
COLUMBIA UNIVERSITY, THE NATIONAL SCIENCE FOUNDATION
10/1/21 → 9/30/25
Project: Research project
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An Autoencoder Architecture for L-Band Passive Microwave Retrieval of Landscape Freeze-Thaw Cycle
Kumawat, D., Ebtehaj, A., Xu, X., Colliander, A. & Kumar, V., 2025, In: IEEE Transactions on Geoscience and Remote Sensing. 63, 4403115.Research output: Contribution to journal › Article › peer-review
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Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach
Ravirathinam, P., Ghosh, R., Khandelwal, A., Jia, X., Mulla, D. & Kumar, V., 2024, Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024. Shekhar, S., Papalexakis, V., Gao, J., Jiang, Z. & Riondato, M. (eds.). Society for Industrial and Applied Mathematics Publications, p. 445-453 9 p. (Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM Architecture
Rahimi, R., Ravirathinam, P., Ebtehaj, A., Behrangi, A., Tan, J. & Kumar, V., Jun 2024, In: Journal of Hydrometeorology. 25, 6, p. 947-963 17 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems
Liu, L., Zhou, W., Guan, K., Peng, B., Xu, S., Tang, J., Zhu, Q., Till, J., Jia, X., Jiang, C., Wang, S., Qin, Z., Kong, H., Grant, R., Mezbahuddin, S., Kumar, V. & Jin, Z., Dec 2024, In: Nature communications. 15, 1, 357.Research output: Contribution to journal › Article › peer-review
Open Access30 Scopus citations -
Machine learning applications in vadose zone hydrology: A review
Li, X., Nieber, J. L. & Kumar, V., Jul 1 2024, In: Vadose Zone Journal. 23, 4, e20361.Research output: Contribution to journal › Review article › peer-review
Open Access1 Scopus citations
Datasets
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Code Release: Daily surface temperatures for 185,549 lakes in the conterminous United States estimated using deep learning (1980-2020)
Willard, J. D., Read, J. S., Topp, S., Hansen, G. J. A. & Kumar, V., ZENODO, 2022
DOI: 10.5281/zenodo.6210917, https://zenodo.org/record/6210917
Dataset