Cheng Zhang, Ph.D.

Cheng Zhang, Ph.D.

Cheng Zhang, Ph.D.
Assistant Professor

Cheng Zhang, Ph.D.
Civil and Environmental Engineering

Contact Info
856-256-5325
Rowan Hall 234

Biography

Google Scholar

Website: https://chzhangudel.github.io/czgroup/

Education:
Postdoctoral Research Associate, Princeton University
Ph.D., University of Delaware
M.Sc., South China University of Technology
B.Eng., South China University of Technology

Impactful Research Areas:
Health
    Environment
Sustainability
    Green Construction
Connectivity
    Digital Engineering
    Infrastructure & Transportation

Research Expertise:
Coastal Hazards; Coastal Processes; Numerical Modeling; Machine Learning/Data-driven Methods; Climate Change

Dr. Zhang's research is centered on coastal hazards and oceanography, with a primary focus on developing cutting-edge, AI-enhanced deterministic and probabilistic tools to assess and mitigate risks from nature hazards in coastal communities. In recent years, Dr. Zhang is particularly interested in investigating how climate change affects coastal communities during extreme events, such as storm surges, tsunamis, and extreme precipitation.

Professional Memberships:
American Geophysical Union (AGU)
American Meteorological Society (AMS)

Recent Publications:
Perezhogin, P., Zhang, C., Adcroft, A., Fernandez-Granda, C. and Zanna, L., Implementation of a data-driven equation-discovery mesoscale closure into an ocean model (accepted by Journal of Advances in Modeling Earth Systems).

Zhang, C., Perezhogin, P., Gultekin, C., Adcroft, A., Fernandez-Granda, C. and Zanna, L., Implementation and evaluation of a machine learned mesoscale eddy parameterization into a numerical ocean circulation model. Journal of Advances in Modeling Earth Systems, 15, e2023MS003697, 2023.

Luo, Y., Zhang, C., Liu, J., Xing, H., Zhou, F, Wang, D., Long, X., Wang, S., Li, M. and Shi F., Identifying ship-wakes in a shallow estuary using machine learning. Ocean Engineering, 246, 110456, 2022.

Grilli, S.T., Zhang, C., Kirby, J.T., Grilli, A.R., Tappin, D.R., Watt, S.F.L., Hunt, J.E., Novellino, A., Engwell, S., Nurshal, M.E.M., Abdurrachman, M., Cassidy, M., Madden-Nadeau, A.L. and Day, S., Modeling of the Dec. 22nd 2018 Anak Krakatau volcano lateral collapse and tsunami based on recent field surveys: comparison with observed tsunami impact. Marine Geology, 106566, 2021.

Zhang, C., Kirby, J. T., Shi, F., Ma, G. and Grilli, S. T., A two-layer non-hydrostatic landslide model for tsunami generation on irregular bathymetry. 1. Theoretical basis. Ocean modelling, 101749, 2021.