Federal Project Grant Award Summary

The National Science Foundation (NSF) Division of Mathematical Sciences awarded $150,000 to the University of Georgia Research Foundation, Inc. (UGA Research Foundation) under the Mathematical and Physical Sciences program (CFDA 47.049) for a collaborative research project titled "Change Point Testing and Estimation with Irregular Signals." The award, effective September 1, 2026 through August 31, 2029, supports the development of novel statistical methods and machine learning protocols for detecting abrupt changes in complex datasets where post-change signals are irregular and unpredictable. The research deliverables include theoretical frameworks and computational toolboxes designed to improve the statistical power and robustness of change-point detection while providing rigorous theoretical guarantees, with applications to critical infrastructure monitoring, sensor network security, and social network trend analysis.

The project also integrates research outcomes into undergraduate and graduate education at participating institutions, equipping students with advanced statistical and machine learning knowledge applicable to real-world data analysis challenges. By advancing change-point detection methodology beyond traditional constant-shift assumptions, this research strengthens statistical and artificial intelligence capabilities across multiple scientific and engineering disciplines while addressing vulnerabilities to adversarial attacks on detection systems.