Nonlinear dynamics and chaos theory explore systems where small changes in initial conditions can lead to complex and unpredictable behaviors. This session emphasizes the study of dynamic systems, bifurcation theory, chaos, and emergent phenomena in physics, engineering, and natural sciences.
Speakers are expected to present research on novel nonlinear models, experimental observations of chaotic behavior, and applications in engineering, meteorology, and biological systems. Emphasis will be placed on both analytical and computational approaches to predict and control complex systems.
Participants will benefit from understanding how nonlinear analysis can explain seemingly random phenomena, enhance system design, and improve modeling accuracy. This session encourages engagement through case studies and practical applications that highlight the power of nonlinear methods in tackling real-world problems.