Osman Ozaltin

Associate Professor of Personalized Medicine

Osman Ozaltin joined North Carolina State University in August 2013 as a Chancellor’s Faculty Excellence Program cluster hire in Personalized Medicine. He is an Associate Professor in the Edward P. Fitts Department of Industrial and Systems Engineering and part of the Healthcare Systems Engineering group. His research interests span theoretical, computational, and applied aspects of mathematical programming, focusing on multilevel stochastic optimization problems arising in public health policy making, personalized medical decision-making, and healthcare delivery. He is also interested in developing efficient algorithms for large-scale combinatorial problems in bioinformatics. His methods include integer programming, combinatorial optimization, stochastic programming, bilevel programming, quadratic programming, and decomposition algorithms.

Prior to joining NC State, Ozaltin was an Assistant Professor of Management Sciences at the University of Waterloo, Canada. His publications appeared in top academic journals including Operations Research and Mathematical Programming. He received the distinguished Institute of Industrial Engineers Best Dissertation Award in 2013 for his work to optimize the annual influenza vaccine design. Ozaltin’s formal education began with a BS in Industrial Engineering from Bogazici University in Istanbul, Turkey. He then received his MS and Ph.D. in Industrial Engineering from the University of Pittsburgh.

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Optimal influenza vaccine distribution with equity
Enayati, S., & Ozaltin, O. Y. (2020), EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 283(22), 714–725. https://doi.org/10.1016/j.ejor.2019.11.025
Prepositioning disaster relief supplies using robust optimization
Velasquez, G. A., Mayorga, M. E., & Ozaltin, O. Y. (2020), IISE TRANSACTIONS. https://doi.org/10.1080/24725854.2020.1725692
An embarrassingly parallel method for large-scale stochastic programs
Sand?k??, B., & Özalt?n, O. Y. (2019), In Springer Optimization and Its Applications (Vol. 149, pp. 127–151). https://doi.org/10.1007/978-3-030-22788-3_5
Evaluating an Emergency Department Care Redesign: A Simulation Approach
Swan, B., Ozaltin, O., Hilburn, S., Gignac, E., & McCammon, G. (2019), Proceedings - Winter Simulation Conference, 2019-December, 1137–1147. https://doi.org/10.1109/WSC40007.2019.9004947
Feature selection for classification models via bilevel optimization
Agor, J., & Ozaltin, O. Y. (2019), COMPUTERS & OPERATIONS RESEARCH, 106, 156–168. https://doi.org/10.1016/j.cor.2018.05.005
The Effect of the Distribution of the Inverse Growth Rate on Pancreatic Cancer Progression
Abu-El-Haija, L., Ivy, J. S., Ozaltin, O., & Park, W. (2019), Proceedings - Winter Simulation Conference, 2019-December, 1044–1054. https://doi.org/10.1109/WSC40007.2019.9004877
The value of missing information in severity of illness score development
Agor, J., Ozaltin, O. Y., Ivy, J. S., Capan, M., Arnold, R., & Romero, S. (2019), JOURNAL OF BIOMEDICAL INFORMATICS, 97. https://doi.org/10.1016/j.jbi.2019.103255
Tollgate-based progression pathways of ALS patients
Dalgic, O. O., Erenay, F. S., Pasupathy, K. S., Ozaltin, O. Y., & Crum, B. A. (2019), JOURNAL OF NEUROLOGY, 266(3), 755–765. https://doi.org/10.1007/s00415-019-09199-y
Ambulance redeployment and dispatching under uncertainty with personnel workload limitations
Enayati, S., Ozaltin, O., Mayorga, M. E., & Saydam, C. (2018), IISE Transactions, 50(9), 777–788. https://doi.org/10.1080/24725854.2018.1446105
Models for predicting the evolution of influenza to inform vaccine strain selection
Agor, J. K., & Ozaltin, O. (2018), Human Vaccines & Immunotherapeutics, Vol. 14, pp. 678–683. https://doi.org/10.1080/21645515.2017.1423152

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Osman Ozaltin