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.
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)
Jianna Martinez
Research Associate, Pennsylvania State University (2025 - present)
B.A. Mathematics-Statistics and Environmental Science, Columbia University (2024)
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.
Peijun Li
Postdoctoral Scholar, Pennsylvania State University (2024 - present)
M.Sc. & Ph.D., Wuhan University (2018 - 2023)
Visiting Student, Helmholtz Centre for Environmental Research – UFZ (2022 - 2023)
BSc., China University of Geosciences (2014 - 2018)
Wencong Yang
Postdoctoral Scholar, Pennsylvania State University (2025 - present)
Ph.D. Water Resources and Hydrology, Tsinghua University (2017 - 2022)
B.S. Hydraulic Engineering, Tsinghua University (2013 - 2017)
Research Focus: Data assimilation for differentiable hydrologic models. Differentiable river routing models.
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)
Kamlesh Sawadekar
Ph.D. student, Water Resources Engineering, Pennsylvania State University (2022 - present)
B. Tech. Civil Engineering, Indian Institute of Technology Gandhinagar (2022)
Haoyu Ji
Ph.D. student, Pennsylvania State University (2023 - present)
M.S. Beijing Normal University
B.S. Hohai University
Abdol Mehdi Behroozi
Ph.D. student, Pennsylvania State University (2023 - present)
M.S. Water and Hydraulic Structures, Persian Gulf University (2018 - 2022)
M.S. Construction Management, Persian Gulf University (2005 - 2008)
B.S. Civil Engineering, Persian Gulf University (1998 - 2002)
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.
Xueting Pu
Ph.D. student, Water Resources Engineering, Pennsylvania State University (2024 - present)
M.S. Civil and Environmental Engineering, Carnegie Mellon University (2022)
B.S. Environmental Engineering, Sichuan University (2021)
Hichem Hadjeres
Ph.D. student, Water Resources Engineering, Pennsylvania State University (2024 - present)
M.S. Hydrology , University of Rhode Island (2019)
B.A. Earth and Environmental Science, Wesleyan University (2015)
Huong Le
Visitor, Pennsylvania State University (2025 - present)
Ph.D. student, University of Delaware
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.
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.
Amirmoez Jamaat
M.S., Pennsylvania State University (2023 - 2025)
B.S. Civil Engineering, Sharif University of Technology (2016 - 2020)
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
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.
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)
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)
Ashutosh Sharma
Current: Assistant Professor, Indian Institute of Technology, Roorkee
Postdoctoral Scholar, Pennsylvania State University (2019 - 2020)
Jonah Gluck
Intern, Pennsylvania State University (2021)
Kai Ma
Current: Yunnan University
Ph.D. Sichuan University (2021)
Visiting Student, Pennsylvania State University (2020)
Wenyu Ouyang
Current: Dalian University of Technology
Visiting student, Pennsylvania State University (2020)
Ph.D. Dalian University of Technology
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.
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.
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)
Lower (left to right, except Shen): Kathryn Lawson, Xueting Pu, Yalan Song, Doaa Aboelyzeed, Jiangtao Liu
Middle: Nicholas Kraabel, Kamlesh Sawadekar, Haoyu Ji, Leo Lonzarich
Upper: Farshid Rahmani, Tadd Bindas, Peijun Li, Amirmoez Jamaat, Abdolmehdi Behroozi
Lower (left to right): Abdolmehdi Behroozi, Tadd Bindas, Jiangtao Liu, Chaopeng Shen, Kamlesh Sawadekar, Suyeon Choi (visiting student from Yonsei Univ), Farshid Rahmani
Upper (left to right): Yegane Khoshkalam (visiting student from INRS-ETE), Amirmoez Jamaat, Haoyu Ji, Doaa Aboelyzeed, Kathryn Lawson, Yalan Song
Lower (left to right): Doaa Aboelyazeed, Wen-Ping Tsai, Chaopeng Shen, Kathryn Lawson
Upper (left to right): Tadd Bindas, Jiangtao Liu, Farshid Rahmani, Piyaphat (Park) Chaemchuen, Dapeng Feng.
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