Chaopeng Shen

Professor, Pennsylvania State University (2012 - present)

Postdoc. Lawrence Berkeley National Laboratory (2011-2012)

Ph.D. Michigan State University (2009)

Hydrologic  Deep Learning,  Differentiable Hydrology,  Computational Hydrology, Floodplain Dynamics, Water-Carbon Interactions, Water Quality.

ORCID, Google Scholar

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

Yalan Song

Ph.D. Pennsylvania State University (2017 - 2022)

M.S. Shanghai Jiaotong University (2014 - 2017)

B.S. Tianjin University (2010 - 2014)

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

ORCID, Google Scholar

Kathryn Lawson

Research Associate, Pennsylvania State University (2020 - present)

M.S. Environmental Engineering, Pennsylvania State University (2017 - 2020)

M.S. Food, Agricultural, and Biological Engineering, The Ohio State University (2015 - 2017)

B.S. Environmental Engineering, Clarkson University (2011 - 2015)

ORCID, Google Scholar, LinkedIn

Jiangtao Liu

Ph.D. student, Pennsylvania State University (2021 - 2025)

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.

ORCID, Google Scholar

Doaa Aboelyazeed

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

M.S. Cairo University (2018 - 2021)

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

ORCID, Google Scholar

Kamlesh Sawadekar

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

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

ORCID, Google Scholar, LinkedIn 

Haoyu Ji

Ph.D. student, Pennsylvania State University (2023 - present)

M.S. Beijing Normal University

B.S. Hohai University

ORCID, Google Scholar

Leo Lonzarich

Ph.D. student, Water Resources Engineering, Pennsylvania State University (2024 - present) 

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

Research focus: NOAA-OWP NextGen, evaluating multimodel ensembles.

ORCID, Google Scholar, LinkedIn

Nicholas Kraabel

Ph.D. student, Water Resources Engineering, Pennsylvania State University (2024 - present) 

B.S. Computer Science, Washington State University (2020 - 2024)

B.S. Quantitative Economics, Washington State University (2020 - 2024)

ORCID, Linkedin

Farshid Rahmani

Current: Incoming Assistant Professor at Louisville University

Ph.D. student, Water Resources Engineering, Pennsylvania State University (2020 - 2025)

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.

ORCID, Google Scholar

Tadd Bindas

Current: Technical Lead, Earth Resources Technology (ERT) 

• Working on the Next Generation Water Prediction Capability (NextGen) under Raytheon in support of NOAA

• Lead for the Enterprise Data and Flood Inundation Mapping (FIM) services team (EDFS)

Ph.D. Water Resources Engineering, Pennsylvania State University (2020 - 2025)

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

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

ORCID, Google Scholar

Medium Blog 

Dapeng Feng

Current: Postdoctoral scholar, Stanford University

Ph.D. Pennsylvania State University (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

ORCID, Google Scholar

Yegane Khoshkalam

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

Visiting student, Pennsylvania State University (2023)

M.S. Petroleum Engineering, University of Tehran.

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

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. 

ORCID, Google Scholar

Suyeon Choi

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

Visiting student, Pennsylvania State University (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

Piyaphat (Park) Chaemchuen

M.S. Pennsylvania State University (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)

Google Scholar, 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, Pennsylvania State University (Departure: 2022)

ORCID, Google Scholar

Ashutosh Sharma

Current: Assistant Professor, Indian Institute of Technology, Roorkee

Postdoctoral Scholar, Pennsylvania State University (2019 - 2020)

ORCID, Google Scholar

Jonah Gluck

Intern, Pennsylvania State University (2021)

Kai Ma

Current: Yunnan University

Ph.D. Sichuan University (2021)

Visiting Student, Pennsylvania State University (2020)

ORCID, Google Scholar

Wenyu Ouyang

Current: Dalian University of Technology

Visiting student, Pennsylvania State University (2020)

Ph.D. Dalian University of Technology

ORCID

Kuai Fang

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

Postdoctoral scholar, Pennsylvania State University (2019). 

Ph.D. Pennsylvania State University (2013-2018)

B.S. Beijing Normal University

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

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.

ORCID, Google Scholar

Xinye Ji

Current: Shenzhen High-Tech Industrial Center

Ph.D. Pennsylvania State University (2018)

B.S. Peking University (2015)

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

ORCID

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: KCI Technologies, Inc.

M.S. Pennsylvania State University (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: U.S. Bureau of Reclamation

M.S. Pennsylvania State University (2016)

Google Scholar

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