Call for Papers-Special Session on Complex Systems and Complex Networks in IEEE CYBCONF2026
Published:
Special Session Title
Data- and AI-Driven Approaches for Complex Systems and Complex Networks
Description
In recent years, there has been significant progress in developing data- and AI-driven methods for modeling, analyzing, and optimizing complex systems and networks. These approaches are capable of capturing complex dependencies, diverse relationships, and dynamic changes across a wide range of systems, from cyber-physical infrastructures and intelligent transportation networks to social and biological networks, among others.
Data- and AI-driven techniques have shown great potential in tasks such as identifying critical nodes in complex networks, analyzing network robustness, vulnerability and resilience, and extracting latent structural patterns in graph data. These methods allow for more intelligent system representation, enabling adaptive decision-making and predictive modeling in complex environments. They contribute to advancing our understanding of systemic behaviors and improving control and management strategies for real-world complex systems and graphs.
This special session aims to unite researchers and practitioners to explore cutting-edge data- and AI-driven methods for modeling complex systems, complex networks and graphs, advancing the synergy among systems science, artificial intelligence, and cybernetics.
Conference Date and Address:
April 17-20, 2026; Nanjing, China; https://www.ieeecyb2026.net/
Dates
December 1, 2025: Special session paper submission due
January 15, 2026: Notification of acceptance
April 17-20, 2026: Conference
Submission
Please use the template in the conference website and submit the paper via the EasyChair system. During the submission, please clearly indicate by selecting the the Type of Submission: “Special Session: Data- and AI-Driven Approaches for Complex Systems and Complex Networks”) with a copy sent to the designated special session organizer.
Organizer
Kuang Zhou, Northwestern Polytechnical University, kzhoumath@nwpu.edu.cn
Bogdan Gabrys, University of Technology Sydney, Bogdan.Gabrys@uts.edu.au
Keyu Wu, National University of Defense Technology, keyuwu@nudt.edu.cn