
Invited session on recurrence analysis
An invited lecture on “Complex Network Approach for Recurrence Analysis of Time Series” was delivered during the ADMA-ICDM 2025 pre-conference workshop on Network Analysis.
Explore events →We study the structure, dynamics and resilience of complex networks — from brain and climate systems to social, technological and higher-order networks.
Our research combines mathematical foundations with computational network analysis to uncover patterns, vulnerabilities, communities and emergent behaviour in complex systems.

Robustness, vulnerability, sparsification and structural analysis.

Interactions across layers, coupling and resilience of interconnected systems.

Brain connectivity, recurrence networks and biomarkers from neural signals.

Hypergraphs, higher-order interactions and structures beyond pairwise links.

Graph representation learning, community structures and data-driven network models.

Analysing complex relational data using scalable computational methods.

We investigate how real-world networks respond to failures, attacks and structural changes, and how network models can reveal vulnerabilities and guide resilient system design.

An invited lecture on “Complex Network Approach for Recurrence Analysis of Time Series” was delivered during the ADMA-ICDM 2025 pre-conference workshop on Network Analysis.
Explore events →The group participated in the Network Science Society's winter flagship conference in India, with a focus session and student poster presentations.
View highlights →Funding supported research on fingerprinting and communicability of functional brain networks using graph-theoretic methods.
See projects →A five-day workshop on Network Data Analysis was organised jointly with the Data Science Research Group at IIIT Kottayam.
Read more →Explore our research, people and current projects.