معرفی
Dr. Pin Shuai is an Assistant Professor in the Department of Civil and Environmental Engineering at Utah State University, affiliated with the Utah Water Research Laboratory (UWRL) within the College of Engineering. He leads the Shuai Computational and Integrated Hydrology (SCI-Hy) research group, focusing on advancing the understanding of complex hydrological systems through computational modeling and data integration.
Dr. Shuai holds a PhD in Geology (Hydrogeology) from Texas A&M University (2017), an MS in Water Resources Engineering from Wuhan University (2013), and a BS in the same field from Wuhan University (2011). His academic journey was followed by a postdoctoral and staff scientist position at the Pacific Northwest National Laboratory from 2017 to 2022.
His research interests are centered on groundwater-surface water interactions, nutrient and contaminant transport, watershed biogeochemistry, and integrated hydrologic modeling. He employs a model-data integrative approach combining field observations, laboratory data, remote sensing, and numerical models powered by high-performance computing. His group emphasizes open-source and reproducible science, addressing critical environmental challenges such as human-water interactions and the impacts of disturbances like drought and land use change on watershed processes.
The recent publications of Dr. Shuai reflect a strong trend toward computational hydrology, with a focus on high-resolution watershed modeling, the role of streambed representation, the impact of meteorological forcing resolution, and the application of machine learning and deep neural networks for model calibration and permeability estimation. His work bridges traditional hydrological modeling with modern data science techniques, aiming to improve predictive capabilities in complex hydrological systems.
Dr. Shuai has mentored several graduate students, including Collins Stephenson, Ehsan Ebrahimi, Pamela Claure, and Jihad Othman, guiding them through thesis research in civil and environmental engineering. While no scientific awards are listed in the provided text, his active research program, consistent publication record in high-impact journals, and leadership of a growing research group indicate a strong trajectory in the field. He teaches courses such as Groundwater Engineering, Hydrologic Modeling, and GIS for Civil Engineers, contributing to both graduate and undergraduate education.
The SCI-Hy group, under Dr. Shuai’s leadership, is actively engaged in projects that integrate advanced modeling tools like the Advanced Terrestrial Simulator (ATS) and Watershed Workflow to parameterize and simulate watershed processes. The group welcomes passionate students and recently advertised for a postdoctoral position focused on ML/AI applications in hydrology, highlighting its forward-looking research direction.
