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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A highly efficient deep-learning-based parameter estimation and uncertainty reduction framework for ecosystem dynamics models
Shen, C. (PI)
Biological and Environmental Research
8/15/21 → 8/14/24
Project: Research project
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MRI: Acquisition of a Purpose-Built Deep Learning Compute System to Advance Fundamental Research and Education at Penn State
Cowen, N. F. (PI), Van Duin, N. C. (CoPI), Shen, C. (CoPI), Wauthier, C. (CoPI) & Gervais, M. (CoPI)
8/15/20 → 7/31/23
Project: Research project
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Collaborative Research: Predictive Risk Investigation SysteM (PRISM) for Multi-layer Dynamic Interconnection Analysis
Shen, C. (PI)
10/1/19 → 9/30/22
Project: Research project
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A Framework for Improving Analysis and Modeling of Earth System and Intersectoral Dynamics at Regional Scales
Ullrich, P. A. (PI), Grotjahn, R. (CoPI), Gutowski, W. J. (CoPI), Gassman, P. W. (CoPI), Hall, A. A. (CoPI), Berg, N. N. (CoPI), Mearns, L. (CoPI), Bukovsky, M. (CoPI), Mccrary, R. R. (CoPI), Mcginnis, S. S. (CoPI), Yates, D. D. (CoPI), Pryor, S. S. (CoPI), Barthelmie, R. R. (CoPI), Reed, K. R. (CoPI), Shen, C. (CoPI), Zarzycki, C. (CoPI), Wang, S.-Y. S.S.-Y. (CoPI), Jones, A. A. (CoPI), Rhoades, A. M. (CoPI), LEUNG, L. R. (CoPI), Feng, Z. (CoPI), Qian, Y. (CoPI) & Sakaguchi, K. (CoPI)
Biological and Environmental Research
9/1/19 → 8/31/22
Project: Research project
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Does grouping watersheds by hydrographic regions offer any advantages in fine-tuning transfer learning model for temporal and spatial streamflow predictions?
Khoshkalam, Y., Rousseau, A. N., Rahmani, F., Shen, C. & Abbasnezhadi, K., Apr 2025, In: Journal of Hydrology. 650, 132540.Research output: Contribution to journal › Article › peer-review
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High-Resolution National-Scale Water Modeling Is Enhanced by Multiscale Differentiable Physics-Informed Machine Learning
Song, Y., Bindas, T., Shen, C., Ji, H., Knoben, W. J. M., Lonzarich, L., Clark, M. P., Liu, J., van Werkhoven, K., Lamont, S., Denno, M., Pan, M., Yang, Y., Rapp, J., Kumar, M., Rahmani, F., Thébault, C., Adkins, R., Halgren, J. & Patel, T. & 3 others, , Apr 2025, In: Water Resources Research. 61, 4, e2024WR038928.Research output: Contribution to journal › Article › peer-review
Open Access -
Widespread Advances in Corn and Soybean Phenology in Response to Future Climate Change Across the United States
Yang, Y., Tao, B., Ruane, A. C., Shen, C., Matteson, D. S., Cousin, R. & Ren, W., Apr 2025, In: Journal of Geophysical Research: Biogeosciences. 130, 4, e2024JG008266.Research output: Contribution to journal › Article › peer-review
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Bathymetry Inversion Using a Deep-Learning-Based Surrogate for Shallow Water Equations Solvers
Liu, X., Song, Y. & Shen, C., Mar 2024, In: Water Resources Research. 60, 3, e2023WR035890.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Closure to "applying Knowledge-Guided Machine Learning to Slope Stability Prediction"
Pei, T., Qiu, T. & Shen, C., Sep 1 2024, In: Journal of Geotechnical and Geoenvironmental Engineering. 150, 9, 07024013.Research output: Contribution to journal › Comment/debate › peer-review