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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SDG 1 No Poverty
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SDG 2 Zero Hunger
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SDG 3 Good Health and Well-being
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SDG 4 Quality Education
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SDG 6 Clean Water and Sanitation
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SDG 7 Affordable and Clean Energy
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SDG 8 Decent Work and Economic Growth
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 10 Reduced Inequalities
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SDG 11 Sustainable Cities and Communities
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SDG 12 Responsible Consumption and Production
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SDG 13 Climate Action
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SDG 14 Life Below Water
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SDG 15 Life on Land
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SDG 17 Partnerships for the Goals
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Collaborations and top research areas from the last five years
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Enabling Farmer Discovery and Managing Critical Tradeoffs with the Emergence of National Scale Carbon Markets
Kumar, V. (PI)
THE OHIO STATE UNIVERSITY, USDA Nat'l Inst. of Food & Agriculture
2/1/25 → 1/31/30
Project: Research project
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The Fate of Minnesota Lakes in the Next Century
Ebtehaj, A. (PI), Kumar, V. (PI) & Hondzo, M. (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
Deshwal, A. (PI), Kumar, V. (PI), Nieber, J. L. (PI), Ramadan, E. (PI), Steinbach, M. (CoI), Chatterjee, A. (Prior Principal Investigator) & Jin, Z. (Prior Principal Investigator)
THE NATIONAL SCIENCE FOUNDATION
8/1/23 → 7/31/27
Project: Research project
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Minnesota Partnership for Biotechnology and Medical Genomics
Bartolomucci, A. (PI), Bischof, J. C. (PI), Blazar, B. R. (PI), Conelea, C. A. (PI), Crawford, P. (PI), Kang, P. B. (PI), Kumar, V. (PI), Lim, K. O. (PI), Marquard, J. L. (PI), McGovern, R. A. (PI), Melton-Meaux, G. B. (PI), Nahas, Z. (PI), Netoff, T. I. (PI), Opitz, A. (PI), Simon, G. J. (PI), Williams, J. W. (PI), van Berlo, J. (PI), Betts, B. (Co-Principal Investigator) & Hippen, K. L. (Co-Principal Investigator)
7/1/22 → 3/31/28
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 → 9/30/26
Project: Research project
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Knowledge-guided graph machine learning for spatially distributed prediction of daily discharge and nitrogen export dynamics
Yang, J., Peng, B., Wang, Y., Ma, Z., Zhao, Q., Liu, L., Jia, X., Kumar, V., Pan, M., Jia, M., Li, X., Nieber, J., Jin, Z. & Guan, K., Jun 1 2026, In: Water Research. 297, 125613.Research output: Contribution to journal › Article › peer-review
3 Link opens in a new tab Scopus citations -
Knowledge-Guided Machine Learning: A Paradigm Shift in AI for Science
Karpatne, A., Jia, X. & Kumar, V., 2026, Proceedings of the AAAI Conference on Artificial Intelligence. Koenig, S., Jenkins, C. & Taylor, M. E. (eds.). 46 ed. Association for the Advancement of Artificial Intelligence, p. 39715-39717 3 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 40, no. 46).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Knowledge-Guided Machine Learning for Global Change Ecology Research
Jin, Z., Liu, L., Yang, Q., Jia, X., Tao, S., Guo, Y., Ghosh, R., Wang, S., Zhu, Q., Jung, M., Guan, K., Kumar, V., Reichstein, M., Fang, J. & Luo, Y., Feb 2026, In: Global change biology. 32, 2, e70742.Research output: Contribution to journal › Review article › peer-review
Open Access6 Link opens in a new tab Scopus citations -
Retraction notice to “Knowledge-guided machine learning captures key mechanistic pathways for better predicting spatio-temporal patterns of growing season N2O emissions in the U.S. Midwest” [Agricultural and Forest Meteorology 373 (2025) 110750] (Agricultural and Forest Meteorology (2025) 373, (S0168192325003697), (10.1016/j.agrformet.2025.110750))
Ye, L., Liu, L., Yang, Y., Li, Z., Zhou, W., Peng, B., Xu, S., Kumar, V., Yang, W. H., Tang, J., Jin, Z. & Guan, K., Mar 1 2026, In: Agricultural and Forest Meteorology. 378, 110998.Research output: Contribution to journal › Comment/debate › peer-review
Open Access -
Structural Similarity Assessment of Precipitation and Temperature in NEX-GDDP-CMIP6 Simulations over the Contiguous United States
Dahal, S., Ebtehaj, A., Hondzo, M., Azharuddin, M. & Kumar, V., Apr 2026, In: Journal of Hydrometeorology. 27, 4, p. 493-512 20 p.Research output: Contribution to journal › Article › peer-review
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