Studying network anomalies helps improve network data, user organization safety and threat accuracy within businesses and organizations.
Nong Ye is a professor in the School of Computing, Informatics, and Decision Systems Engineeringin Ira A. Fulton Schools of Engineering at Arizona State University. She is also the undergraduate program chair for engineering management and industrial engineering.
Ye’s research aims at developing new data mining and analytical algorithms to discover useful information and knowledge from data of large, complex systems, with applications to cyber security including cyber attack detection, STEM education for enineering retention and success, and energy system modeling for energy use and production efficiency. Professor Ye’s past and current research activities have received more than $8M external funding support and have produced 85 journal papers and five books, including “Data Mining: Theories, Algorithms, and Examples.” Her recent research focuses on developing data mining algorithms to discover multivariate data associations capturing both partial-value and full-value variable associations as well as both individual and interactive effects of multiple variables. New algorithms have been applied to cyber attack detection, engineering retention and education, and energy system modeling.
Total projects: 1