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):
-
SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 6 Clean Water and Sanitation -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 13 Climate Action -
SDG 14 Life Below Water -
SDG 15 Life on Land
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
-
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
-
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
-
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. 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
-
A multi-objective physics-informed machine learning framework for landslide susceptibility mapping
Cui, H., Pei, T., Devineni, N., Tian, Y., Shen, C. & Ji, J., 2026, (Accepted/In press) In: Georisk.Research output: Contribution to journal › Article › peer-review
-
Analyzing the deep learning approach-based modeling framework to understand the critical environmental factors of predicting daily nitrate concentrations
Saha, G. K., Rahmani, F., Jacob, A., Shen, C., Duncan, J. & Cibin, R., Apr 15 2026, In: Journal of Environmental Management. 404, 129539.Research output: Contribution to journal › Article › peer-review
-
A novel hybrid fine-tuning method for supercharging deep learning model development for hydrological prediction
Jahangir, M. S., Quilty, J., Shen, C., Scott, A., Steinschneider, S. & Adamowski, J., Jun 2026, In: Environmental Modelling and Software. 201, 106978.Research output: Contribution to journal › Article › peer-review
Open Access -
Comment on Williams (2025): “Friends don't let friends use NSE or KGE for hydrologic model accuracy evaluation: A rant with data and suggestions for better practice”
Clark, M. P., Knoben, W. J. M., Spieler, D., Gründemann, G. J., Thébault, C., Vásquez, N. A., Wood, A. W., Song, Y., Shen, C., Carney, S. & van Werkhoven, K., Feb 2026, In: Environmental Modelling and Software. 197, 106869.Research output: Contribution to journal › Letter › peer-review
-
DMFS: differentiable modeling for frozen soil thermodynamic characteristics
Ren, Y., Gou, L., Xiao, M., Liu, Z. & Shen, C., 2026, In: Canadian Geotechnical Journal. 63Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Scopus citations