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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III: Medium: Advancing Deep Learning for Inverse Modeling
THE NATIONAL SCIENCE FOUNDATION
8/1/23 → 7/31/26
Project: Research project
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III: Medium: Advancing Deep Learning for Inverse Modeling
Kumar, V., Nieber, J. L., Chatterjee, S. B., Steinbach, M. & Jin, Z.
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., Babcock, C. R., Chiang, Y., Gini, M. L., Griffis, T. J., Hong, M., Jin, Z., Johnson, J. A., Jordan, N. R., Kumar, V., Mulla, D. J., Papanikolopoulos, N. P., Pardey, P. G., Roop, H. A., Runck, B. C., Steinbach, M., Sun, J., Wilgenbusch, J. & Zobel, J. M.
USDA Nat'l Inst. of Food & Agriculture
6/1/23 → 5/31/26
Project: Research project
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BIGDATA: F: Advancing Deep Learning to Monitor Global Change
Kumar, V., Pardey, P. G., Senay, S. D., Steinbach, M. & Wilgenbusch, J.
THE NATIONAL SCIENCE FOUNDATION
11/1/18 → 10/31/24
Project: Research project
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Process guided machine learning for water temperature prediction
Peterson, J. M., Kumar, V. & Steinbach, M.
9/8/20 → 9/2/22
Project: Research project
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Causal Structure Learning from Imperfect Longitudinal Data in Healthcare
Yang, H., Tourani, R., Li, J., Caraballo, P., Steinbach, M., Kumar, V. & Simon, G. J., 2023, Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023. Institute of Electrical and Electronics Engineers Inc., p. 1-11 11 p. (Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
Willard, J., Jia, X., Xu, S., Steinbach, M. & Kumar, V., Nov 21 2022, In: ACM Computing Surveys. 55, 4, 66.Research output: Contribution to journal › Article › peer-review
Open Access101 Scopus citations -
Regionalization in a Global Hydrologic Deep Learning Model: From Physical Descriptors to Random Vectors
Li, X., Khandelwal, A., Jia, X., Cutler, K., Ghosh, R., Renganathan, A., Xu, S., Tayal, K., Nieber, J., Duffy, C., Steinbach, M. & Kumar, V., Aug 2022, In: Water Resources Research. 58, 8, e2021WR031794.Research output: Contribution to journal › Article › peer-review
Open Access6 Scopus citations -
Strategies for building robust prediction models using data unavailable at prediction time
Yang, H., Tourani, R., Zhu, Y., Kumar, V., Melton, G. B., Steinbach, M. & Simon, G., Jan 1 2022, In: Journal of the American Medical Informatics Association. 29, 1, p. 72-79 8 p.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
A Computational Method for Learning Disease Trajectories from Partially Observable EHR Data
Oh, W., Steinbach, M. S., Castro, M. R., Peterson, K. A., Kumar, V., Caraballo, P. J. & Simon, G. J., Jul 2021, In: IEEE Journal of Biomedical and Health Informatics. 25, 7, p. 2476-2486 11 p., 9456038.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations