 Information-theoretic machine learning for time-varying mode decomposition of separated aerodynamic flowsAIAA Journal (AIAA J.), 2025 |
 Low-Order Flow Reconstruction and Uncertainty Quantification in Disturbed Aerodynamics Using Sparse Pressure MeasurementsJournal of Fluid Mechanics (JFM), 2025 |
 Dynamical system prediction from sparse observations using deep neural
networks with Voronoi tessellation and physics constraintComputer Methods in Applied Mechanics and Engineering (CMAME), 2024 |
 Super-Resolution Analysis via Machine Learning: A Survey for Fluid FlowsTheoretical and Computational Fluid Dynamics (TCFD), 2023 |
