You are here

Sara Nourazari

Sara Nourazari joined the CSULB Department of Health Care Administration as an assistant professor in fall 2016. Dr. Nourazari has hands-on experience in leading, supporting, and evaluating quality improvement initiatives within health care organizations, as well as developing analytical solutions and data-driven insights in multiple research and applied projects.


Dr. Nourazari received her Ph.D. in Industrial Engineering with a minor in Operations Research from Northeastern University in Boston, MA; she also holds both MS and BS degrees in Electrical Engineering.

Research Interests

Using systems engineering methodologies and mathematical modeling, her research focuses on optimizing the quality and efficiency of health care delivery with particular emphasis and area expertise in access, real-time decision making, care delivery redesign, and statistical quality engineering. 


As HCA's primary faculty member for health care operations and operations management subject areas, Dr. Nourazari teaches the following courses:

  • HCA 320 Operations Management in Health Administration
  • HCA 450 Quality Assurance in Health Care
  • HCA 535 Quantitative Methods for Healthcare Administration


  1. Nourazari, S., Davis, S. R., Granovsky, R., Austin, R., Straff, D. J., Joseph, J. W., & Sanchez, L. D. (2021). Decreased hospital admissions through emergency departments during the COVID-19 pandemic. The American Journal of Emergency Medicine, 42, 203-210.
  2. Nourazari, S., Hoch, D. B., Capawanna, S., Sipahi, R., & Benneyan, J. C. (2016). Can improved specialty access moderate emergency department overuse?: Effect of neurology appointment delays on ED visits. Neurology: Clinical Practice, 6(6), 498-505.
  3. Ansaripour, A., Mata, A., Nourazari, S., & Kumin, H. (2016). Some explicit results for the distribution problem of stochastic linear programming. Open Journal of Optimization, 5(04), 140.
  4. Tokgöz, E., Nourazari, S., & Kumin, H. (2011, May). Convexity and optimization of condense discrete functions. In International Symposium on Experimental Algorithms (pp. 33-42). Springer, Berlin, Heidelberg.
  5. Chen, Y., Nourazari, S., & Oliver, D. S. (2011, February). Multiscale parameterization with adaptive localization for improved assimilation of time-lapse data. In SPE Reservoir Simulation Symposium. OnePetro.