Esmaeil Bahalkeh

Esmaeil Bahalkeh

Assistant Professor
Phone: (603) 862-5054
Office: UNH Health Management & Policy, Hewitt Hall, 321, Durham, NH 03824

Dr. Esmaeil Bahalkeh's research interests lie generally in the fields of Healthcare Operations Management, and Health Systems. More specifically, his research addresses pressing issues in Health Systems related to quality, access, and flow.

He teaches several interdisciplinary courses across different programs, including Machine Learning in Healthcare for MS in Health Data Science program, Healthcare Operations Management for BS in Health Management and Policy program, Quality and Process Improvement in Healthcare for Doctoral Nursing program, and Statistics for Health Professionals.

Courses Taught

  • HDS 805: Machine Learning in Healthcare
  • HDS 890: HDS Independent Study
  • HHS 540: Stats for Health Professionals
  • HMP 711: Intro Healthcare Analytics
  • HMP 712: Healthcare Operations Mgmt
  • HMP 712/812: Health Analytics
  • NURS 933: Applied Analytics for QI
  • PHP 985A: Spc Top/Policy and Management


  • Ph.D., Industrial Engineering, Purdue University
  • M.S., Industrial & Systems Engineering, Ohio University
  • B.S., Industrial Engineering, Sharif University

Research Interests

  • Access to Health Services/Medical Care
  • Computer Simulation/Modeling
  • Data Analysis
  • Data Mining
  • Forecasting - Trends/Statistical Analysis
  • Health Services Delivery
  • Production/Operations Management
  • Quality of Care

Selected Publications

  • Bahalkeh, E., Chiam, T. C., & Yih, Y. (2023). An interpretable clustering classification approach for assessing and adjusting hospital service lines. Healthcare Analytics, 4, 100255. doi:10.1016/

  • Bahalkeh, E., Chiam, T. C., Yih, Y., & Ellison, J. M. (2023). Simulating the effects of access improvement strategies in an outpatient memory clinic with high follow-up volumes. International Journal of Simulation and Process Modelling, 20(4), 276-285. doi:10.1504/ijspm.2023.138583

  • Bahalkeh, E., Hasan, I., & Yih, Y. (2022). The relationship between Intensive Care Unit Length of Stay information and its operational performance. Healthcare Analytics, 2, 100036. doi:10.1016/

  • Clark, K. D., Luong, S., Lunn, M. R., Flowers, E., Bahalkeh, E., Lubensky, M. E., . . . Flentje, A. (2022). Healthcare Mistreatment, State-Level Policy Protections, and Healthcare Avoidance Among Gender Minority People. SEXUALITY RESEARCH AND SOCIAL POLICY. doi:10.1007/s13178-022-00748-1

  • Hasan, I., Bahalkeh, E., & Yih, Y. (2020). Evaluating intensive care unit admission and discharge policies using a discrete event simulation model. SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 96(6), 501-518. doi:10.1177/0037549720914749

  • Madraki, G., Bahalkeh, E., & Judd, R. (2015). Efficient algorithm to find makespan under perturbation in operation times. In Proceedings of the 2015 Industrial and Systems Engineering Research Conference (pp. 1474-1481). Nashville, TN.

  • Bahalkeh, E., Madraki, G., & Judd, R. (2015). Efficient system matrix calculation for manufacturing systems. In Proceedings of the 2015 Industrial and Systems Engineering Research Conference (pp. 1943-1950).