Journal of Dynamical Systems and Complexity

Editorial Board

Editor-in-chief

Section Editors

Description: The aim of this section is the approaches of mathematical methods by different fields of science and engineering such as physics, biology, finance, computer science, and engineering applications.  Potential topics: synchronization of a pair of coupled systems and complex networks, multistability in discrete or continuous dynamical systems, analysis of financial time series, cryptography, and discrete mathematics such as graph theory and combinatorics. 

Description: This section focuses on the integration of diverse physical principles, bridging multiple disciplines to advance our understanding of complex systems. This section encourages the exploration of new theories, methodologies, and applications that arise from the interplay of physics with fields such as mathematics, engineering, biology, and computer science. The goal is to shed light on the behavior, control, and optimization of systems that exhibit nonlinear dynamics, emergent behavior, and intricate interactions. Submissions to this section should contribute to the broader understanding of physical systems with a focus on dynamical complexities. The scope spans theoretical, experimental, and computational approaches, and welcomes interdisciplinary work connecting physics to other science and technology domains.

Potential topics: Nonlinear dynamics, Chaotic systems, Complex networks, Multiscale modeling, Fractional calculus, Nonlinear dynamics in fluids, Nonlocal models, Quantum chaos, Quantum complex systems, Emergent phenomena, Condensed matter physics, Plasma dynamics, Nonlinear optics, Turbulence, Biological physics, Population dynamics, Soft matter, Non-equilibrium processes, Control theory, System optimization, Dynamical systems in engineering.

Description: This section will gather novel contributions at both, theoretical and practical level related to robotics and its applications. We expect contributions in the following topics: Robotics, Aerial Robotics, Computer Vision for Robotics, Micro Aerial Vehicles, Uncrewed Systems, Underwater Robots, Drones, Aerial Manipulation, Deep Learning for Robotics, Visual SLAM, Swarm Robotics, Space Technology, Robotics for Space, Rovers, Aerial Vehicles for Space, Micro and Nano Satellites, Humanoids, Quadrupeds, Service Robotics.

Description: The aim of this section is to bond emerging concepts such as artificial intelligence (AI), neural networks, symbiotic systems, and cybersecurity to develop new techniques and open new frontiers in the field of dynamical systems and complexity.  Based on this data-driven approach, underlying patterns, chaos, and complex relationships in dynamical systems can be discovered, which might not be apparent through conventional methods. From modeling and prediction to cybersecurity, neural networks, control, and optimization, these powerful technologies can extend the boundaries of what is possible in studying complex systems. 

Potential topics (among others): Data-set-centric dynamical systems, AI for complex systems, chaos in neural networks, cybersecurity based on multi-stability, symbiotic dynamical systems, Neuromorphic circuits for dynamical systems, and data analytics-based models for biological dynamical systems, fractal and fractional-order dynamical systems.

Senior Associate Editors

Young Editorial Board


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