This Mini-Symposium aims to create a cutting-edge multidisciplinary forum focused on recent advances and emerging frontiers in nonlinear analysis, nonlinear control, and data-driven modeling of dynamical systems across scales—from macro to micro and MEMS devices. The scope encompasses the interplay between complex nonlinear dynamics and modern data-driven strategies, such as Machine Learning, Artificial Intelligence, and Physics-Informed Neural Networks (PINNs), which are transforming the way nonlinear systems are modeled, simulated, controlled, and optimized. The Mini-Symposium will also serve as a platform to discuss theoretical, computational, and experimental advances in nonlinear system identification, model reduction, sensitivity analysis, control strategies, and the integration of novel materials and structural concepts, including metamaterials and energy harvesters. Particular emphasis will be placed on AI/ML-enhanced methods, including hybrid modeling approaches that combine physics-based models and data-driven techniques to tackle long-standing challenges in nonlinear vibrations and structural dynamics.Key Topics Include (but are not limited to):

Dynamic stability, chaos, and random post-critical behavior of nonlinear systems;
Nonlinear vibrations of solids and structures under complex loading, including moving and time-dependent loads;
AI and ML algorithms for nonlinear system identification, control, and predictive modeling;
Physics-informed neural networks (PINNs) and hybrid modeling frameworks in nonlinear dynamics;
Nonlinear phenomena in macro-, micro-, and nano-scale systems, including MEMS and NEMS;
Vibration-based energy harvesting in nonlinear systems;
Nonlinear dynamics and control of mechanical metamaterials and smart structures;
Time-frequency methods and wavelet analysis in nonlinear dynamics;
Nonlinear system diagnostics, health monitoring, and prognostics;
Emerging applications of AI/ML in experimental nonlinear dynamics and control;
Data-driven strategies for rare event prediction, uncertainty quantification, and sensitivity analysis.

This Mini-Symposium provides a dynamic environment for researchers, engineers, and practitioners to share breakthroughs, discuss open problems, and forge collaborations at the intersection of nonlinear dynamics, control, and artificial intelligence.