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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Flood and Drought Prediction for Minnesota
Nieber, J. L. (PI) & Steinbach, M. (Co-Principal Investigator)
LEGISLATIVE-CITIZEN COMMISSION ON MN RES
7/1/24 → 6/30/26
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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BIGDATA: F: Advancing Deep Learning to Monitor Global Change
Kumar, V. (PI), Pardey, P. G. (CoI), Senay, S. D. (CoI), Steinbach, M. (CoI) & Wilgenbusch, J. (CoI)
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. (PI), Kumar, V. (CoI) & Steinbach, M. (CoI)
9/8/20 → 9/2/22
Project: Research project
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Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management
Chatterjee, S. S., Lindsay, K., Chatterjee, N., Patil, R., De Callafon, I. A., Steinbach, M., Giron, D., Nguyen, M. H. & 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. 589-597 9 p. (Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology
Ghosh, R., Renganathan, A., McAliley, W., Steinbach, M., Duffy, C. & 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. 334-342 9 p. (Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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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., 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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Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications
Xu, S., Khandelwal, A., Li, X., Jia, X., Liu, L., Willard, J. D., Ghosh, R., Lindsay, K., Steinbach, M., Duffy, C., Nieber, J. & Kumar, V., 2023, 2023 SIAM International Conference on Data Mining, SDM 2023. Society for Industrial and Applied Mathematics Publications, p. 649-657 9 p. (2023 SIAM International Conference on Data Mining, SDM 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Scopus citations -
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 Access162 Scopus citations