Chaopeng Shen

AI-Related Expertise Topics

• AI applications: Deep-learning-based water resources prediction, flood/ soil moisture forecast, water temperature modeling, plant/ecosystem modeling, water quality prediction
• AI Foundations: Physics-informed machine learning, Differentiable hydrology, scientific machine learning

Externally-funded AI Projects

• Agency: Google.org (via Tides Foundation)
  Role: PI
  Project Title: Landslide database and modeling via deep learning
  Period: 2019-2022
• Agency: National Science Foundation
  Role: co-PI
  Project Title: MRI: Acquisition of a Purpose-Built Deep Learning Compute System to Advance Fundamental Research and Education at Penn State
  Period: 2020-2023
• Agency: National Science Foundation
  Role: co-PI
  Project Title: NNA Track 2: Collaborative Research: Planning for Infrastructure Resiliency and Adaptation amid Increasing Mass-Movement Risks across the Cryosphere
  Period: 2021 - 2022
• Agency: Bill and Melinda Gates Foundation [MP]
  Role: co-PI
  Project Title: Low cost pest and climate change stress prediction using Artificial Intelligence Period: 2020-2022
• Agency: National Science Foundation
  Role: sole PI
  Project Title: Hydro-ML: Symposium on Big Data Machine Learning in Hydrology and Water Resources
  Period: 2020-2022
• Agency: National Science Foundation
  Role: sole PI
  Project Title: Examining groundwater-flood and soil moisture-flood relationships across scales using national-scale data mining, deep learning and knowledge distillation
  Period 2018 - 2021
• Agency: Swiss Federal Institute of Aquatic Science and Technology
  Role: sole PI
  Project Title: Visiting Scientist arrangement for C. Shen
  Period: 2021
• Agency: National Science Foundation
  Role: PI
  Project Title: Collaborative Research: Predictive Risk Investigation SysteM (PRISM) for Multi-layer Dynamic Interconnection Analysis
  Period: 2019-2021
• Agency: U.S. Geological Survey
  Role: Co-PI, Core Faculty
  Project Title: Machine Learning Prediction of Water Temp – Internship
  Period: 2019 - 2021
• Agency: Department of Energy
  Role: co-PI
  Project Title: An integrated evaluation of the simulated hydroclimate system of the continental US
  Period: 2017-2021

AI-Related Courses

• CE 597: AI for Geoscientists and Civil Engineers

Web Page

• http://water.engr.psu.edu/shen
• https://www.deepldb.org
• youtube.com/watch?v=BIBBlM0BWaU (featured on American Geophysical Union TV program)

Publication Profile

scholar.google.com/citations?user=wGOOJi8AAAAJ&hl=en

AI Publications

1. Feng, DP.*, K. Lawson and CP. Shen, Mitigating prediction error of deep learning streamflow models in large data-sparse regions with ensemble modeling and soft data, Geophysical Research Letters (2021, Accepted)
2. Ouyang WY.*, K. Lawson*, DP. Feng*, L. Ye, Chi Zhang, CP. Shen, Continental-scale streamflow modeling of basins with reservoirs: towards a coherent deep-learning-based strategy, Journal of Hydrology (2021)

*student author