Ali Dag

Assistant Professor


Beacom Hall 217

Phone: (605) 658-6550


Teaching Interests:

Business/ Data Analytics Operations Management Statistics

Research Interests:

Big Data Analytics Text-Web-Social Media Mining Operations Research


  • Ph D, Industrial & Systems Engineering, Auburn University, 2016

Licensures and Certifications:

  • SAS EM Data Analyst, SAS


  • Analyzing the ALOS in Avera Health System, Avera Health, (2017 - 2017)


  • Predicting the Readmissions for Cardiac Patients, Sanford Health. Grant Role: Supporting. (2017 - 2017)


Citations listed below are presented in a standardized, modified format for display purposes only. They do not necessarily reflect the preferred style and conventions of the faculty member or discipline.

  • South-Winter, Carole A., Dag, Ali, and Ragothaman, Srinivasan. Factors Associated with Readmission of Cardiac Patients. Edited by M. Mamin Ullah and Jongwha Chang, December 2018, Vol. 6, No. 4, pp. 9-19. Vol. 6, Iss. 4. Published by American Research Institute for Policy Development Washington, DC: International Journal of Health Sciences, 2019. (DOI: 10.15640/ijhs )
  • South-Winter, Carole A., Dag, Ali, and Ragothaman, Srinivasan. A Comparative Data Mining Approach to Construct a Risk Trade-off in Predicting the Cardiac Patient Re-admissions. Vermillion: Industrial Management and Data Systems, 2018.
  • South-Winter, Carole A., George, Benjamin, and Dag, Ali. The Impact of Cultural Perception on the Individual Health Care Consumer: A Comparison of Germany and United States, 252-258. Vol. 2018, Iss. 3. Nagpur, MH: EUROPEAN JOURNAL OF PHARMACEUTICAL AND MEDICAL RESEARCH , 2018.
  • Dag, Ali. Data analytics approaches for breast cancer survivability: comparison of data mining methods. IIE (Institute for Industrial Engineers), 2017.
  • Dag, Ali. Predicting heart transplantation outcomes through data analytics, 42-52. Vol. 94. Decision Support Systems, 2017.
  • Dag, Ali. Measuring the efficiency of hospitals: a fully-ranking DEA-FAHP approach. Edited by Rafael Caballero, Carlos Romero and Francisco Ruiz. Vol. 245/1-2. USA: Annals of Operations Research, 2016. (DOI: 10.1007/s10479-016-2330-1)


  • South-Winter, Carole A., Dag, Ali, Ragothaman, Srinivasan. Predicting the Cardiac Patient Re-admission. Presented at the Eastern South Dakota Research Symposium, Sioux Falls, SD. (August 2017)
  • George, Benjamin. Predicting the Hotel Reviews with Machine learning-based Classification Models. Presented at the Informs Annual Meeting, Nashville, TN. (November 12, 2016)