Call for papers:
The inaugural "Special Session on Security" (3S) held on May 9th, 2025 will focus on work that
harnesses the properties of PUFs, chaotic, nonlinear and complex circuits and systems, as
well as memristor circuits for security purposes.
Authors are invited to submit original and unpublished work initially in the form of a one-page
extended abstract and, upon acceptance, the full paper up to 12 pages using the
Springer Lecture Notes in Computer Science (LNCS) conference-format template and
according to the submission instructions on the conference website. All accepted papers
will be published in the Spinger-Nature Proceedings in Complexity series and indexed
accordingly.
Call for papers:
Dynamical systems are characterized as systems undergoing evolution and are typically elucidated by either differential equations or maps. In recent years, the field of dynamical systems has experienced significant development, giving rise to novel research areas and posing additional questions yet to be addressed.
This symposium provides a platform for researchers to discuss and exchange ideas in theory and applications of nonlinear dynamics in nature. Manuscripts are solicited in the following topics but not limited to:
Bifurcation theory. Chaos indicators in multidimensional spaces. Classical deterministic chaos. •
Continuous and discrete chaotic systems. Dynamical systems with hidden attractors. Hamiltonian and quantum chaos. Fractals and time-series analysis. Fractional-order system dynamics. Mathematical and Numerical Methods. Mathematical Modeling. Multi-body dynamics. Multi-stability in chaotic and non-chaotic systems. Nonlinear system identification. Systems with time and/or space delays. Fluid dynamics and turbulence.
Network dynamics and synchronization.
Neurodynamics and brain dynamics.
The symposium proceedings (full papers) will be published by Springer in the Springer Proceedings in Complexity series (https://www.springer.com/series/11637).
Complexity theory along with complexity that disentangles complex, dynamic, complicated, nonlinear, adaptive, evolutionary, emergent, chaotic systems, among others, serves as a bridge crossing over the quantitative and qualitative facets of real life, which enables the comprehensive contemplation of diverse systems from cells to neurons, from humans to ecosystems. When patterns in complex systems are at stake, systems with multicomponents exhibit a spontaneous form of organization into macroscopic structures with simple rules leading to unpredictable behaviors and patterns. Thus, complexity science seeks to unravel the underlying principles and theoretical aspects with an orientation to use them through applications for understanding different medical, biological, physical and social worlds at the pedestal of emergence of chaos and order as the hallmarks of natural systems as well as designed systems. Among these factors, mathematical modeling points toward a process in which real-world situations and relations are embodied in the form of equations, allowing for the understanding of the original problems and discovering new structural features related to the problem’s essence. Artificial Intelligence (AI) as characterized by mathematical models entails a deeply holistic understanding of the mechanisms of intelligence, and related technologies enable the development of the means ensuring the carrying out of the complex and time-consuming tasks efficiently and accurately. Consequently, many applications of science have turned into multi-method cases based on evolving knowledge over time and across space. Our special session, as a follow-up of our symposium Complexity Theory, Mathematical Sciences and Applied Complexity Science at the NSC conference series of 2023, 2024 and 2025, aims at discussing these critical aspects to enhance understanding and applications on complexity science, complex systems’ modeling and simulations along with AI-encompassing theories as well as applications.
The original full papers accepted for our special session can be published in the Springer Proceedings in Complexity series (https://www.springer.com/series/11637). Full papers submitted to our special session and accepted following the peer-reviewing processes can also be published in certain special issues of ours.