Area of research
Computational Mechanics · Statistical and Nonlinear Physics
Research interest
Research interests include Fluid Dynamics and Turbulent Flows, Fluid Dynamics and Vibration Analysis, Model Reduction and Neural Networks, and Computational Fluid Dynamics and Aerodynamics.
Observable-augmented manifold learning for multi-source turbulent flow data
Machine learning in fluid dynamics: A critical assessment
Single-snapshot machine learning for super-resolution of turbulence
A cyclic perspective on transient gust encounters through the lens of persistent homology
Data-driven nonlinear turbulent flow scaling with Buckingham Pi variables
An invitation to resolvent analysis
Data-driven transient lift attenuation for extreme vortex gust–airfoil interactions
Aerodynamics-guided machine learning for design optimization of electric vehicles
Phase autoencoder for limit-cycle oscillators.
Data-Driven Modeling, Sensing, and Control of Extreme Vortex-Airfoil Interactions
Aerodynamics-guided machine learning for design optimization of electric vehicles.
Super-resolution analysis via machine learning: a survey for fluid flows
Grasping extreme aerodynamics on a low-dimensional manifold
A Database for Reduced-Complexity Modeling of Fluid Flows
Sparse sensor reconstruction of vortex-impinged airfoil wake with machine learning
Laminar post-stall wakes of tapered swept wings
Grasping extreme aerodynamics on a low-dimensional manifold.
Transition, intermittency and phase interference effects in airfoil secondary tones and acoustic feedback loop
Laminar vortex dynamics around forward-swept wings
Supersonic Cavity Flow Control Using a Spanwise Array of Leading-Edge Tabs
Experimental Attenuation of a Trailing Vortex Inspired by Stability Analysis
Assessment of supervised machine learning methods for fluid flows
On the formation of three-dimensional separated flows over wings under tip effects
Special issue on machine learning and data-driven methods in fluid dynamics
Laminar separated flows over finite-aspect-ratio swept wings
Extraction of DMD modes from Pulse-Burst PIV Data of Flow over an Open Cavity
Super-resolution reconstruction of turbulent flows with machine learning
Modal Analysis of Fluid Flows: Applications and Outlook
Resolvent-analysis-based design of airfoil separation control
Cluster-based feedback control of turbulent post-stall separated flows