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Cynthia Marling

Associate Professor
Biomedical Engineering,Electrical Engineering and Computer Science
Phone: 593-1246

Cindy Marling is an associate professor in the School of Electrical Engineering and Computer Science, adjunct associate professor in the Department of Specialty Medicine (OU-HCOM), and director of the SmartHealth Lab. She is affiliated with the Biomedical Engineering and Clinical Informatics programs and is a member of the Diabetes Institute at Ohio University. Her current research focus is artificial intelligence for diabetes management.

Research Interests: Artificial intelligence, intelligent decision support, Case-Based Reasoning, Clinical Informatics

All Degrees Earned: Ph.D., Computer Science, Case Western Reserve University, 1996


Marling, C., Wiley, M., Bunescu, R., Shubrook, J. and F. Schwartz (2012). Emerging Applications for Intelligent Diabetes Management, AI Magazine, 33(2):67-78.

Marling, C. R., Shubrook, J. H., Vernier, S. J., Wiley, M. T. and F. L. Schwartz (2011). Characterizing Blood Glucose Variability Using New Metrics with Continuous Glucose Monitoring Data, Journal of Diabetes Science and Technology, 5(4):871-878.

Marling, C., Wiley, M., Cooper, T., Bunescu, R., Shubrook, J. and F. Schwartz (2011). The 4 Diabetes Support System: A Case Study in CBR Research and Development, in Case-Based Reasoning Research and Development: 19th International Conference on Case-Based Reasoning, ICCBR 2011 Proceedings, Ram, A. and N. Wiratunga, eds., Springer, Berlin.

Wiley, M., Bunescu, R., Marling, C., Shubrook, J. and F. Schwartz (2011). Automatic Detection of Excessive Glycemic Variability for Diabetes Management, in Proceedings of the Tenth International Conference on Machine Learning and Applications, IEEE Press, New York, New York.

Marling, C., Shubrook, J. and F. Schwartz (2009). Toward Case-Based Reasoning for Diabetes Management: A Preliminary Clinical Study and Decision Support System Prototype, Computational Intelligence, 25(3):165.179.