Contributions in this session:

• Keynote Applying Machine Learning to Study Fluid Mechanics
  S. Brunton*
• From resolvent to Gramians: forcing and response modes for control
  B. Herrmann*, P. Baddoo, S. Dawson, R. Semaan, S. Brunton, B. McKeon
• Data-driven Spectral Submanifold Reduction for the Dynamics of Fluids, Solids and their Interaction
  M. Cenedese*, G. Haller
• Student Understanding Bursting Dynamics in Two-dimensional Turbulence Using Deep Convolutional Autoencoders
  J. Holey*, J. Page, M. Brenner, R. Kerswell
• Student Reduced-Order Models of Magnetoconvection in 2D
  A. Roy*, S. Tobias, C. Jones, P. Livermore, W. Arter, S. Pamela