Research

Engineering structures naturally vibrate, and these oscillations can be either beneficial or harmful. To uncover new phenomena and enable innovative designs, understanding and harnessing nonlinear effects are becoming increasingly important.

Research in nonlinear vibrations focuses on:

• Nonlinear modal analysis
• Reduced order modeling
• System identification

Typical application areas include:

• Aerospace structures
• Microsystems
• Structural dynamics

Our research leverages advanced machine learning techniques to enhance the understanding of complex dynamical systems. In turn, we incorporate insights from dynamical systems theory to develop innovative, data-driven methods.

Key research areas include:

• Scale separation
• Operator learning
• Uncertainty quantification

We apply these methods across various domains, including:

• Geophysics
• Health systems
• Engineering