Zeda Yin

Assistant Professor

Zeda Yin joined the City University of New York, College of Staten Island (CUNY CSI) in Fall 2025 as an Assistant Professor in the Department of Engineering & Environmental Science. He earned his bachelor’s degree from Nanjing Institute of Technology, a master’s degree from Marshall University, and a Ph.D. from Florida International University. 

Dr. Yin’s research interests span hydraulics, thermal and fluid sciences, computational fluid dynamics (CFD), artificial intelligence applications, and engineering optimization. His work integrates advanced modeling and simulation techniques to address complex problems in mechanical and environmental systems. He has extensive experience working on National Science Foundation (NSF)-funded research projects as well as a variety of industry collaborations.

Degrees

PhD, Florida International University

MS, Marshall University

BS, Nanjing Institute of Technology

Scholarship and Publications
  1. Yin, Z., Bian, L., Hu, B., Shi, J., & Leon, A. S. Physic-Informed Neural Network Approach Coupled with Boundary Conditions for Solving 1D Steady Shallow Water Equations for Riverine System. In World Environmental and Water Resources Congress 2023 (pp. 280288).
  2. Yin, Z., Saadati, Y., Leon, A. S., Amini, M. H., Bian, L., & Hu, B. (2023). Forecasting and Optimization for Minimizing Combined Sewer Overflows using Machine Learning Frameworks and Its Inversion Techniques. Journal of Hydrology, 130515.
  3. Yin, Z., Saadati, Y., Hu, B., Leon, A. S., Amini, M. H., & McDaniel, D. (2024). Fast high-fidelity flood inundation map generation by super-resolution techniques. Journal of Hydroinformatics, 26(1), 319-336.
  4. Yin, Z., & Leon, A. S. (2024). Riverine flood hazard map prediction by neural networks. HydroResearch.
  5. Yin, Z., & Esmaeilpour, M. (2021). The hydrodynamic performance of a turbine in shallow free surface flow. Journal of Hydrodynamics, 33(4), 804-820.
  6. Yin, Z., Shi, J., Bian, L., Campbell, W. H., Zanje, S. R., Hu, B., & Leon, A. S. (2025). Physics-informed neural network approach for solving the one-dimensional unsteady shallow-water equations in riverine systems. Journal of Hydraulic Engineering, 151(1), 04024060.
  7. Hu, B., Yin, Z., Hamrani, A., Leon, A., & McDaniel, D. (2023). Super-resolution-assisted rapid high-fidelity CFD modeling of data centers. Building and Environment, 111036.
  8. Leon, A. S., Yin, Z., & Sharifi, A. (2024). A finite volume model for maintaining stationarity and reducing spurious oscillations in simulations of sewer system filling and emptying. Journal of Hydraulic Research, 62(3), 267-282.
  9. Shi, J., Yin, Z., Myana, R. S., Ishtiaq, K. S., John, A., Obeysekera, J., ... & Narasimhan, G. (2025). Deep learning models for water stage predictions in south florida. Journal of Water Resources Planning and Management, 151(10), 05025013.

 

  • Hydraulics;
  • Fluid Dynamics;
  • Machine Learning;
  • Neural Networks;
  • Hydrology;
  • Modeling and Simulation.
photo of Dr. Zeda Yin

Contact Information

Office: Building 1N Room 231
Email Zeda Yin
Office Hours

Monday: 2:20pm -3:50 pm

Wednesday: 1:20pm-2:50 pm