19–23 December 2025 (Hybrid)

Network Science Research Lab, IIIT Kottayam, India

Workshop on Complex Network Analysis with Applications in Brain Network Science and Complex Systems aims to bring together academicians, researchers, industrial experts, Ph.D. scholars, and postdoctoral fellows to explore recent advancements and foundational concepts in the fields of graph theory and its applications in network analysis. Graph theory, a cornerstone of discrete mathematics, offers a robust framework for modeling and analyzing complex networks across various domains from biological systems and brain connectivity to social, technological, and infrastructural networks.The primary aim of this five-day workshop is to provide a comprehensive introduction to the mathematical foundations and computational techniques in complex network analysis, with a particular emphasis on its applications in brain network science and biomedical data analysis. The program will cover a range of contemporary topics, including the simplicial analysis of fMRI data to study human brain dynamics during functional cognitive tasks, analysis of complex networks and prediction using deep learning models, and exploration of graph algorithms along with their computational complexity. Participants will also gain exposure to advanced methodologies such as the application of complex networks in machine learning, the characterization of resting-state fMRI for brain connectivity analysis, and diffusion MRI analysis for clinical applications. In addition, the workshop will introduce recurrence network analysis, which is used to predict climate changes and other dynamic systems. To complement these theoretical discussions, hands-on sessions will be conducted on complex network analysis using NetworkX, and nonlinear dynamics in recurrence relations.

Free registration for Complex Systems Society Members.

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