Journal of Dynamical Systems and Complexity
Editorial Board
Editor-in-chief
Dr. Esteban Tlelo Cuautle (INAOE)
Section Editors
Dr. Eric Campos Canton (IPICyT): Applied Mathematics and Interdisciplinary Applications.
Dr. Guillermo Huerta Cuellar (CU Lagos, UdG): Multidisciplinary Physics.
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.
Dr. José Martínez Carranza (INAOE): Robotics and Unmanned Systems
Dr. Luis Gerardo de la Fraga (CINVESTAV): Computer and Information systems.
Dr. Jesús Muñoz Pacheco (BUAP): Artificial Intelligence and Cybersecurity.
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
Dr. Juan Hugo García López (CU Lagos, UdG).
Dr. Rider Jaimes Reátegui (CU Lagos, UdG).
Dr. Israel Cruz Vega (INAOE).
Dr. Alejandro Diaz Sánchez (INAOE).
Dr. Gonzalo Barajas Ramírez (IPICYT).
Dr. Jorge Antonio López Rentería (ITT).
Young Editorial Board
Dra. Bahia Betzabet Cassal Quiroga (UASLP).
Dra. Adriana Ruíz Silva (UES).
Dr. Omar Guillen (ITJMMPH).
Dr. Ernesto Zambrano Serrano (UANL).
Dr. Héctor Eduardo Gilardi Velázquez (UP).
Dr. José Luis Echenausía Monroy (CICESE).
Dr. Claudio Alejandro García Grimaldo (UPSLP).
Dr. Miguel Platas (UANL).
Dr. Luis Javier Ontañon García Pimentel (UASLP).
Dr. Rodolfo de Jesus Escalante González (ITSLP).
Dr. Eduardo Jiménez López (UAEMEX).
For Authors