Machine Learning in Ocean Engineering

I am interested in the application of data science methods to ocean engineering problems. My current research focuses on extreme events in fluid mechanics with an emphasis on rogue waves in the ocean, including data-driven predictions on extreme waves and extreme structural loading, considering leading-order physics such as nonlinear wave dynamics and instabilities, breaking waves, and long-short wave interaction.

Figure 1: Schematic diagram for the probabilistic decomposition method for space-time wave statistics predictions (T. Tang 2022, T. Tang 2022).

Figure 2: The machine learning model for space-time statistics. (a) General architecture, (b) prediction accu-
racy compared to previous empirical and analytical models, (c) parameters importance ranking. (T. Tang 2021)