Durai Sundaramoorthi

Professor of Practice in Data Analytics

Durai Sundaramoorthi

Durai Sundaramoorthi

Dr. Durai Sundaramoorthi received his PhD in Industrial Engineering (Analytics) from the University of Texas at Arlington. He performed his doctoral research in the Center on Stochastic Modeling, Optimization, and Statistics (COSMOS). He also has a M.S. in Industrial Engineering from the University of Texas at Arlington and a B.S. in Mechanical Engineering from Bharathiar University, India. Prior to this position, Dr. Durai held fulltime faculty positions at University of Missouri-Rolla (now Missouri Science & Technology) and Missouri Western State University. Dr. Durai's research interests include Business Analytics, Data Mining, Optimization, Simulation, and Simulation-based Optimization applied to diverse applications. In a collaborative research with nursing and engineering faculty members, and health care professionals from hospitals, he developed a novel data-driven simulation-based analytics approach using tree-based data mining methods to optimize nurse-to-patient assignments based on Big Data from Baylor Regional Medical Center, Grapevine, TX. This research was a pioneering attempt in using Big Data for Business Analytics and Intelligence. The methodology was well received by the research community and was funded by Robert Wood Johnson foundation. The success of this research has paved way to the development of data-driven simulation-based models for the prediction of Standard & Poor 500 and forecasting of ground-level ozone concentration. The Standard & Poor 500 simulation reduces the risk involved in the weekly investments while the ground-level ozone-concentration simulation model can help the policy makers understand the dynamics of ground-level ozone. Apart from academic research, he has worked on process improvement projects at Heartland Regional Medical Center, Baylor Regional Medical Center, FedEx, GE, and Thomas & Betts that utilized data mining, simulation, optimization, and financial modeling.

Area of Expertise

Decision Analysis, Management Science, Math Programming, Simulation Modeling, Statistics/Econometrics, Stochastic Processes, Statistics/Econometrics


  • Ph D 2007, The University of Texas at Arlington
  • MS 2002, The University of Texas at Arlington
  • BS 1999, Bharathiar University

Academic/Professional Activities

  • Other, 5th INFORMS Workshop on Data Mining and Health Informatics
  • Other, Data Mining Section of INFORMS
  • Member, DSI
  • Other, INFORMS Certified Analytics Professional Exam
  • Member, INFORMS
  • Other, INFORMS Data Mining Section
  • Other, Annals of Operations Research Special Issue on Data Mining and Analytics


  • MSA Reid Teaching Award, 2022
  • MSA Reid Teaching Award, 2022
  • MSA Reid Teaching Award, 2021
  • MSA Reid Teaching Award, 2020
  • MSA Reid Teaching Award, 2019
  • 2018 Olin Award, Olin Business School, 2018
  • MSA Reid Teaching Award , 2018
  • 2017 INFORMS Data Mining Best Paper Award, 2017
  • Emerson Excellence in Teaching Award, Washington University in St. Louis, Emerson, 2015
  • Outstanding Faculty Member Award, Washington University, 2012
  • Governors' Distinguished Professor Award, Missouri Western State University, 2011
  • Best Interactive Presentation Award, INFORMS, 2009
  • Best Research Poster Award, Mayo Clinic, 2009

Teaching Interests

Probability and Statistics, Machine-Learning, and Business Analytics

Research Interests

Methodology: Business Analytics, Machine-Learning, Simulation, and Simulation-based Optimization.

Selected Publications

  • "A Data-Integrated Simulation of Financial Market Dynamics", International Journal of Operations Research and Information Systems, 74 - 86, with A. Coult, D. Nguyen, 2012
  • "Simulation and patient assignment: Unearthing patterns", Nursing Management, Issue 11, 14-16, with J. Rosenberger, V. C. Chen, D. Behan, S. Kim, 2010
  • "The Insurance Landscape for Implant- and Autologous-based Breast Reconstruction in the United States", Issue 2, e4818, with Louisa Boyd, Jason Greenfield, Sravya Ainapurapu, Rachel Skladman, Gary Skolnick, Justin Sacks, 2023
  • "Machine Learning Approaches for Category Sales Prediction: Empirical Application to Retail Scanner Data", Journal of Retailing, with Seethu Seetharaman
  • "A Data-Integrated Simulation Model to Forecast Ground-Level Ozone Concentration", Annals of Operations Research, Issue 1, 53 - 69, 2014
  • "A Data-Integrated Simulation-Based Optimization for Assigning Nurses to Patient Admissions", Health Care Management Science, Issue 3, 210-221, with V.C. Chen, J. Rosenberger, S. Kim, D. Behan, 2010
  • " A Data-Integrated Simulation Model to Evaluate Nurse-Patient Assignments", Health Care Management Science, Issue 3, 252-268, with V.C. Chen, J. Rosenberger, S. Kim, D. Behan, 2009


Durai Sundaramoorthi