Peihua Qiu
Professor/Chair | University of Florida
Gainesville, FL, UNITED STATES
Peihua Qui studies design and data analysis, including decision-making problems like disease surveillance and environment monitoring.
Biography
Peihua Qiu is a professor and founding chair of the Department of Biostatistics at UF. He was recruited to the university to develop its new Department of Biostatistics in 2013. He has made substantial contributions in the research areas of jump regression analysis, image processing, statistical process control, survival analysis, dynamic disease screening, and spatio-temporal disease surveillance. He is currently the Biostatistics Core leader of the UF Claude D. Pepper Older Americans Independence Center and an affiliate professor of the Department of Statistics.
Areas of Expertise (5)
Biostatistics
Image Processing
Disease Screening
Disease Surveillance
Statistics
Media Appearances (3)
Leadership message: Department of biostatistics
UF College of Public Health & Health Professions online
2024-05-24
Our faculty members are leaders in their respective research areas, and our graduate programs are highly esteemed. This is evidenced by the numerous honors and recognitions recently received by our faculty and students from national organizations.
Peihua Qiu awarded Shewhart Medal for outstanding research contributions to the field of quality control
UF College of Public Health & Health Professions online
2024-02-09
The Shewhart Medal is given annually to an individual who has demonstrated the most outstanding technical leadership in the field of modern quality control and improvement, especially through the development of theory, principles, techniques and successful applications in the area of quality.
Biostatistician Peihua Qiu named 2022 AAAS Fellow
UF College of Public Health & Health Professions online
2023-01-31
Peihua Qiu, Ph.D., dean’s professor and founding chair of the department of biostatistics at the University of Florida College of Public Health and Health Professions, has been elected a 2022 Fellow of the American Association for the Advancement of Science.
Articles (3)
Machine Learning Approaches for Statistical Process Control
Wiley StatsRef: Statistics Reference OnlinePeihua Qiu
2024-05-27
Machine learning approaches are widely used in different applications, including the ones involving statistical process control (SPC). In a traditional SPC problem (e.g., online monitoring of a production line), a small set of in-control (IC) process observations is routinely collected before online process monitoring for estimating certain parameters of the IC process distribution.
Online monitoring of air quality using PCA-based sequential learning
Annals of Applied StatisticsXiulin Xie, et. al
2024-03-01
Air pollution surveillance is critically important for public health. One air pollutant, ozone, is extremely challenging to analyze properly, as it is a secondary pollutant caused by complex chemical reactions in the air and does not emit directly into the atmosphere.
Water Resource Surveillance for the Salton Sea in California By Adaptive Sequential Monitoring of Its Landsat Images
Journal of Agricultural, Biological and Environmental StatisticsFan Yi & Peihua Qiu
2023-05-05
Gradual loss of water resource in the Salton Sea has got much attention from researchers recently for its damage to the local environment and ecosystems for human beings, animals and plants. To monitor the water resource of the lake, researchers usually obtain certain water resource indices manually from databases such as the satellite images of the region.
