Shakiba Enayati, Ph.D.
Dr. Enayati earned her Ph.D. in Operations Research Program from North Carolina State University in May 2017. She also holds a Master of Science and a Bachelor in Industrial Engineering from Tarbiat Modares University and Iran University of Science and Technology in Tehran, Iran. She was previously employed as Assistant Professor of Analytics in Management, Information Systems, and Analytics Department at State University of New York, Plattsburgh.
Dr. Enayati’s primary research interests are in analytical modeling and optimization of stochastic/dynamic complex systems as applied to healthcare and service systems. Her goal is to address computational and operational aspects of problems arising in public health policy making, health systems management, and medical decision making via incorporating individual patient data. She is also interested in predictive analytics to evaluate, anticipate, and recommend actions for health outcomes at both individual and system levels.
Her Ph.D. dissertation focused on service quality improvement and optimally allocating resources in the dynamic and stochastic environment of Emergency Medical Service systems under realistic operational restrictions.
Ph.D. in Operations Research Program, North Carolina State University, 2017
M.S. in Industrial Engineering, Tarbiat Modares University, 2012
B.S. in Industrial Engineering, Iran University of Science and Technology, 2009
SCMA 4350/6350: Prescriptive Analytics and Optimization
SCMA 3300: Business Analytics
SCMA 3320: Advanced Supply Chain and Operations Management
Dr. Enayati's reseach interests include Mathematical Programming and Optimization of Health Care Systems, Decision Making under Uncertainty, Predictive Modeling for Health Outcomes and Disease and Patient Management.
Enayati, S. and Özaltın, O.Y., 2020. Optimal influenza vaccine distribution with equity. European Journal of Operational Research, 283(2), pp.714-725.
Enayati, S., Mayorga, M.E., Toro‐Díaz, H. and Albert, L.A., 2019. Identifying trade‐offs in equity and efficiency for simultaneously optimizing location and multipriority dispatch of ambulances. International Transactions in Operational Research, 26(2), pp.415-438.
Enayati, S., Mayorga, M.E., Rajagopalan, H.K. and Saydam, C., 2018. Real-time ambulance redeployment approach to improve service coverage with fair and restricted workload for EMS providers. Omega, 79, pp.67-80.
Enayati, S., Özaltın, O.Y., Mayorga, M.E. and Saydam, C., 2018. Ambulance redeployment and dispatching under uncertainty with personnel workload limitations. IISE Transactions, 50(9), pp.777-788.