Statistical science consists of a body of tools, concepts, and algorithms for collecting, analyzing, and interpreting data. It is an integral part of ISyE, where engineers are trained in understanding the system by collecting and analyzing data. Learning statistics enables one to efficiently and cost-effectively gather data and build empirical models to describe and understand the performance of the system that can be used for prediction, control, optimization, and decision-making.
Fundamental Research Areas
Our statistics faculty at ISyE is involved in fundamental research in almost all aspects of statistics including:
- Bayesian Statistics
- Data Mining
- Design of Experiments
- Nonparametric Methods
- Regression Analysis
- Statistical Computing
- Statistical Inference
- Time Series Analysis
Main Application Areas
- Quality and Reliability Engineering
- Health Informatics
- Logistics
- Advanced Manufacturing
External Collaborators
A sampling of research is sponsored by various industries and government agencies including:
- Children's Healthcare of Atlanta
- Chinese Academy of Sciences, Beijing
- Centers for Disease Control and Prevention
- Duke-NUS Health Services and Systems Research
- Emory University
- Department of Public Health, Georgia
- Department of Community Health, Georgia
- Institute of Systems Sciences
- National Cancer Centre, Singapore
- Singapore Eye Research Institute
- Singapore General Hospital Department of Emergency Medicine
- Oak Ridge National Laboratory, Tennessee
- Proctor & Gamble