Chaopeng Shen

Associate Professor, Penn State University 

Postdoc. Lawrence Berkeley National Lab (2011-2012)

Ph.D. Michigan State University (2009)

Hydrologic  deep learning,  Differentiable hydrology,  Computational hydrology, Floodplain dynamics, Water-carbon interactions, Water Quality.

Google Scholar

Go to Multiscale Hydrology, Processes and Intelligence group website for more about papers, research, etc

Yalan Song

Ph.D.  The Pennsylvania State University 

M.S. Shanghai Jiaotong University

B.S. Tianjin University.

Research focus: Deep learning neural networks, differentiable modeling, snow forecast, and snowmelt flooding. 

Google Scholar

Farshid Rahmani

Ph.D. student, Water Resources Engineering, Penn State,  from 2020 - present.

M.Sc. , Water Engineering, Amirkabir University of Technology

B.S., Civil and Environmental Engineering, University of Tehran

Research Focus:  Improve the predictive capability of hydrological variables including stream temperature. Currently working on investigating and learning the processes of stream temperature at large scale.

Google Scholar

Jiangtao Liu

Ph.D. study 2021-present. Penn State

M.S. Beijing Normal University

B.S. China Agricultural University.

Research focus: Multiscale model (Using Deep Learning to combine satellite observation and in-situ measurements.); Landslides (Using Deep Learning to detect and predict landslide), and Global soil moisture.

Google Scholar

Tadd Bindas

Ph.D. candidate, Water Resources Engineering, Penn State, from 2020 - present. 

B.S., Mathematics and Computer Science, Marist College (2019)

Research Focus: Differentiable river routing models to both learn large-scale parameters and improve forecasts. 

Google Scholar

Medium Blog 

Doaa Aboelyazeed

Ph.D. student, Water Resources Engineering, Penn State University (2022 - present)

M.S. Cairo University (2018 - 2021)

B.S. Water Engineering and Environment, Cairo University (2018)

Aboelyazeed, Doaa*, Chonggang Xu, Forrest M. Hoffman, Alex W. Jones, Chris Rackauckas and Chaopeng Shen, A differentiable, physics-informed ecosystem modeling and learning framework for large-scale inverse problems: Demonstration with photosynthesis simulations, Biogeosciences (2023). doi: 10.5194/bg-20-2671-2023   

Kamlesh Sawadekar

Ph.D. student, Water Resources Engineering, Penn State University (2022 - present)

B. Tech, Civil Engineering, Indian Institute of Technology Gandhinagar (2022)

LinkedIn 

Haoyu Ji

Ph.D. student, 2023-present. Penn State

M.S. Beijing Normal University

B.S. Hohai University.

Kathryn Lawson

M.S. Environmental Engineering, Penn State (2020)

M.S. Food, Agricultural, and Biological Engineering, The Ohio State University (2017)

B.S. Environmental Engineering, Clarkson University (2015)

ORCID, Google Scholar

Leo Lonzarich

Research assistant; Intended Ph.D. student, Water Resources Engineering, Penn State University (2024-) 

B.A. Physics & Mathematics, Grinnell College (2022)

Research focus: Evaluating the predictive potential and bias mitigation afforded by multimodel ensembles.

ORCID, LinkedIn

Yegane Khoshkalam

Ph.D. Student, Water Science, Institute national de la recherche scientifique (INRS-ETE), Canada.

Visiting @ Penn State 2023.

M.S. Petroleum Engineering, University of Tehran.

B.S. Petroleum Engineering, Petroleum University of Technology.

Research interests: 

Research focus: Enhancing the precision of streamflow predictions for regions with data scarcity. Currently, I'm engaged in research involving Transfer Learning and the development of streamflow ensemble forecasting systems. 

Google Scholar

Suyeon Choi

Ph.D. Candidate, Hydrology & EcoClimate Lab, Department of Civil and Environmental Engineering, Yonsei University, South Korea.

Visiting @ Penn State 2023-2024.

B.S. Civil and Environmental Engineering, Yonsei University.

Research focus: Deep learning for hydrological modeling; Reservoir module in hydrological model using deep learning

Dapeng Feng

Current: Postdoctoral scholar, Stanford University

Ph.D. Penn State (2023)

M.S. Peking University

B.S. Wuhan University.

Research focus: Large scale hydrologic modeling with integrating deep learning and process based models; Differentiable hydrology; Multi-source data integration; Streamflow forecasting

Google Scholar

Piyaphat (Park) Chaemchuen

Current: 

M.S. Penn State (2022)

B.S. Chulalongkorn University, Thailand (2018)

Research focus: Effects of anthropogenic modifications, hydrological changes, and water quality upon riverscape. (The ongoing project: Suspended Sediment Concentration prediction using Deep Learning)

LinkedIn

Wen-Ping Tsai

Current: Assistant Professor, Department of Hydraulics and Ocean Engineering, National Cheng Kung University

Ph.D. National Taiwan University (2014)

Postdoctoral Scholar, Penn State Univ (Departure: 2022)

Google Scholar

Ashutosh Sharma

Current: Assistant Professor, Indian Institute of Technology, Roorkee

Postdoctoral Scholar, Penn State Univ (2019-2020)

https://www.iitr.ac.in/~HY/Ashutosh_Sharma

Kuai Fang

Current: Postdoctoral Scholar, Stanford University (2020-now)

Postdoctoral scholar. Penn State Univ (2019). 

Ph.D. Penn State Univ. (2013-2018)

B.S. Beijing Normal University

Research focus: geospatial big data analysis; hydrologic functioning; deep learning in water.

https://earth.stanford.edu/people/kuai-fang#gs.lkz7w9

https://scholar.google.com/citations?user=OshwlYcAAAAJ&hl=en&oi=ao

Dr. Kuai Fang has published 14 papers with MHPI, 8 as the lead author. His widely-cited 2017 GRL paper was the first bibliographed paper to introduce LSTM to the hydrologic community.

Xinye Ji

Current: Shenzhen High-Tech Industrial Center

Ph.D. Penn State (2018)

B.S. Peking University (2015)

Research focus: Integrated surface-subsurface processes model to understand soil moisture scaling and floodplain dynamics in the Amazon. 

Products:
Ji, XY*, L. Lesack, JM. Melack, S. Wang*, WJ. Riley, CP. Shen, Seasonal and inter-annual patterns and controls of hydrological fluxes in an Amazon floodplain lake with a surface-subsurface processes model, Water Resources Research, 55(4), 3056-3075, doi: 10.1029/2018WR023897 (2019)

Ji, XY.* and Shen, CP., The introspective may achieve more: enhancing existing Geoscientific models with native-language emulated structural reflection, Computers and Geosciences, doi: 10.1016/j.cageo.2017.09.014 (2018)

Ji, XY*, CP. Shen and WJ. Riley, Temporal evolution of soil moisture statistical fractal and controls by soil texture and regional groundwater flow. Advances in Water Resources, 86, 155–169. doi:10.1016/j.advwatres.2015.09.027 (2015)

Nuan Sun

Current: AMT Engineering

M.S. Penn State (2017) 

Product: 

Sun, N*, K. Fang*, CP. Shen, Toward a Priori Evaluation of Relative Worth of Head and Conductivity Data as Functions of Data Densities in Inverse Groundwater Modeling, Water (2019), 11(6), doi: 10.3390/w11061202

Kurt Smithgall

Current: Alden Lab

M.S. Penn State (2016)

Jonah Gluck

Intern 2021

Kai Ma

Visiting Student @Penn State 2020

Current: Yunnan University

Ph.D. Sichuan University (2021)

Ma K.**, DP. Feng*, K. Lawson*, W-P Tsai*, C. Liang, XR. Huang, A. Sharma*, and CP. Shen, Transferring hydrologic data across continents -- leveraging data-rich regions to improve hydrologic prediction in data-sparse regions, Water Resources Research, doi: 10.1029/2020WR028600 (2021) pre-review preprint

Wenyu Ouyang

Visiting Student @Penn State 2020

Ph.D. Dalian University of Technology

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, doi: 10.1016/j.jhydrol.2021.126455 (2021), preprint link

Fluffy

Resident Creature