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 3 Good Health and Well-being -
SDG 6 Clean Water and Sanitation -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 15 Life on Land
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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. (PI)
LEGISLATIVE-CITIZEN COMMISSION ON MN RES
7/1/24 → 6/30/27
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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AI-CLIMATE (Artificial Intelligence Institute for Climate-Land Interactions, Mitigations, Adaption, Trade-Offsand Economy)
Babcock, C. R. (PI), Chiang, Y.-Y. (PI), Gini, M. L. (PI), Hong, M. (PI), Jin, Z. (PI), Johnson, J. A. (PI), Jordan, N. R. (PI), Mulla, D. J. (PI), Papanikolopoulos, N. P. (PI), Pardey, P. G. (PI), Shekhar, S. (PI), Sun, J. (PI), Wilgenbusch, J. (PI), Griffis, T. J. (Other Role), Kumar, V. (Other Role), Roop, H. A. (Other Role), Runck, B. C. (Other Role), Steinbach, M. (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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Process guided machine learning for water temperature prediction
Kumar, V. (PI), Peterson, J. M. (PI) & Steinbach, M. (CoI)
9/8/20 → 9/2/22
Project: Research project
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Knowledge Guided Machine Learning: A Framework for Accelerating Scientific Discovery
Kumar, V. (PI), Nieber, J. L. (PI) & Steinbach, M. (CoI)
THE NATIONAL SCIENCE FOUNDATION
9/1/19 → 8/31/23
Project: Research project
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Combining self-supervision and privileged information for representation learning from tabular data
Yang, H., Steinbach, M., Melton, G., Kumar, V. & Simon, G., Aug 2025, In: Knowledge and Information Systems. 67, 8, p. 6907-6935 29 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Scopus citations -
Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems: An application on Hydrological Systems
Ghosh, R., Renganthan, A., McEachran, Z., Lindsay, K., Steinbach, M., Nieber, J., Duffy, C. & Kumar, V., 2025, Proceedings - 25th IEEE International Conference on Data Mining, ICDM 2025. Ding, W., Vreeken, J., Lu, C.-T., Gunopulos, D. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1224-1233 10 p. (Proceedings - IEEE International Conference on Data Mining, ICDM).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Link opens in a new tab Scopus citations -
Knowledge-Guided Machine Learning for Operational Flood Forecasting
McEachran, Z., Ghosh, R., Renganathan, A., Sharma, S., Lindsay, K., Steinbach, M., Nieber, J., Duffy, C. & Kumar, V., Nov 2025, In: Water Resources Research. 61, 11, e2024WR039064.Research output: Contribution to journal › Article › peer-review
Open Access3 Link opens in a new tab Scopus citations -
SEASONAL ICE PHENOLOGY OF HIGH-LATITUDE LAKES THROUGH SPACEBORNE L-BAND RADIOMETRY
Kumawat, D., Zuber, M. D., Ebtehaj, A., Kumar, V. & Steinbach, M., 2025, In: International Geoscience and Remote Sensing Symposium (IGARSS). p. 737-742 6 p.Research output: Contribution to journal › Conference article › peer-review
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Combining Self-Supervision and Privileged Information for Representation Learning from Tabular Data
Yang, H., Steinbach, M., Melton, G., Kumar, V. & Simon, G., 2024, Proceedings - 24th IEEE International Conference on Data Mining, ICDM 2024. Baralis, E., Zhang, K., Damiani, E., Debbah, M., Kalnis, P. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 550-559 10 p. (Proceedings - IEEE International Conference on Data Mining, ICDM).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution