Hui Zou

Hui Zou is a Professor in the Department of Statistics at the University of Minnesota Twin Cities. His work spans advanced statistical methodologies and their applications in high-dimensional data analysis, machine learning, and 5G technology.

• Key Research Areas: High-Dimensional Statistics, Regularization, Sparse Principal Component Analysis, Censored Regression, and Neurobehavioral Statistics.
• Notable Collaborations: National Science Foundation (NSF) grants for projects like evolutionary modeling of 5G measurements and inference procedures for high-dimensional regression.

Recent publications focus on regularization techniques, 5G throughput prediction, and robust regression methods. His work contributes to UN Sustainable Development Goals through technological and statistical innovation.

• Grants: Multiple NSF-funded projects (2022-2026, 2020-2023, 2019-2023, etc.) on statistical modeling and high-dimensional inference.
• Collaborative Efforts: Work with researchers like Ding, Qian, Zhang, and Cook on 5G networks and robust regression models.