Scholar
Chaopeng Shen
Google Scholar ID: wGOOJi8AAAAJ
Professor in Water Resources Engineering, Pennsylvania State University
Citations & Impact
Citations
8,122
H-index
38
i10-index
76
Publications
20
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- Recent paper 'Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations' accepted into the main session of International Conference of Learning Representations; Serves as Editor for Journal of Geophysical Research - Machine Learning & Computation, Associate Editor for Water Resources Research, and Chief Editor for Frontiers in Water: Water & AI.
Research Experience
- Currently a Professor at the Department of Civil and Environmental Engineering, Pennsylvania State University; Research areas include using deep learning and physics-based hydrologic models to improve understanding of the hydrological cycle; Developed differentiable modeling which combines process-based equations with neural networks trained together in one stage; Also used Process-based Adaptive Watershed Simulator (PAWS) for large-scale simulations.
Education
- Educational background details are not provided in the given HTML content.
Background
- Research Interests: Focusing on advancing the fundamental understanding of the interactions between hydrology and other subsystems (e.g., ecosystems, energy and carbon cycles, solid earth and channels). Aiming to provide sound physical science, produced by data, data-driven, and process-based models, to support decision-making from catchment to global scales.
Miscellany
- Provides quick access links to various projects like the deepLDB project site, PRISM project site, etc.; Twitter handle @ChaopengShen, sharing about hydrology and deep learning.
