Research Partnerships at CSAR
The Center for Statistics and Analytical Research (CSAR) has partnered with numerous
companies in a variety of industries over the years for research related projects
featuring our faculty and students.
Research topics have included automation, controls, deep learning, facial recognition,
machine learning, neural networks, predictive analysis, statistics and text mining.
Please click a link below to view our current research partnership projects.
Research and development of automated monitoring and controls, leveraging cutting-edge
data science techniques.
Traditional and cutting edge methods from statistics and machine learning to evaluate
and improve patient health care outcomes
Cobb & Douglas Public Health
Georgia Department of Juvenile Justice
CSAR is providing support to inform the work of the Department of Juvenile Justice
on decreasing juvenile recidivism through the application of a wide range of analytical
methods including SQL and Risk Modeling.
Using machine learning, neural networks, facial recognition, and deep learning to
address these challenges and opportunities
Office of Naval Research
This program will instruct participants in the areas of cybersecurity, data analytics,
and advanced manufacturing, using both experimental and content-based training modules.
WellStar Health Systems
Utilizes traditional statistical techniques found in medical research such as survival
analysis as well as cutting-edge techniques and methodologies including machine learning
and predictive analytics