First-author research on unsupervised learning for buffet detection using DMD and model reduction. Early detection of aerodynamic buffet using a sliding-window DMD framework.
First-author publication; DMD-based analysis of oceanographic data for tidal flow characterization.
First-author study on airfoil buffet boundary detection with unsupervised ML and real-time predictive modeling.
Conference paper; sliding-window DMD applied to transonic buffet detection and tracking across different angles of attack.
Conference talk: Predicting aerodynamic buffet onset using DMD and Koopman analysis on RANS simulations. Presented at APS DFD 2020.
APS DFD talk: DMD-based identification of hidden oceanographic features in 3D simulations of the Strait of Gibraltar.
Conference proceedings on DMD-based prediction of buffeting onset in 2D airfoils; presented at Dynamics Days 2020 and MCCNNY 2020.
DMD analysis of 3D tidal flows through the Strait of Gibraltar, presented at Dynamics Days 2020.