Chuanyi Ji’s current and past research focuses on interdisciplinary areas and their interfaces: large-scale data analytics and machine learning for networks. Her research objectives are to seek originality, fundamental understanding, and real-world applications important to our society. With her students and collaborators, Ji started anomaly detection using (small) data from campus networks in the 1990s.
Over time, the research efforts on data science have extended to a non-traditional area – the resilient energy grid. Granular data have been studied from large geographical regions in the United States with five regional service territories, in collaboration with service providers, students, and colleagues. “We hope to unleash the potential of data science to this relatively uncharted area, improving how services are provided and how people are served,” Ji said.
“I enjoy working with students. I hope what we do can add something positive to those most informative years of their lives,” Ji said about graduate and undergraduate education.