Topological data analysis lab

Welcome to the Topological Data Analytics Lab at Kennesaw State University. Our research lies at the intersection of Topological Data Analysis (TDA), Graph Data Analytics, and Artificial Intelligence. We develop mathematically grounded methods for analyzing complex relational and high-dimensional data through topology, geometry, and machine learning.

 Our current work focuses on topological machine learning, graph representation learning, graph neural networks, sheaf-based learning, and network science. We apply these approaches to interdisciplinary problems in healthcare, social networks, biological networks, and anomaly detection.

The lab promotes collaborative and inclusive research experiences for undergraduate and graduate students while advancing research at the intersection of mathematics, data science, and AI.

NEWS

• May 2026: Ibrahim Filik and Afra Kurudirek placed first in the Analytics Day Poster Presentation UG category with their project titled "RIN: Resilient-Influential Node Detection in Complex Networks". Congratulations!

• May 2026: Charles Fanning won first and second place in C-Day, a first for C-Day to have the same person place twice. Congratulations!

• April 2026: Our lab received an NSF REU Supplement grant for one year to support undergraduate researchers!