Osman Ozaltin

Associate Professor

 

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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Publications

Risk score models for urinary tract infection hospitalization
Alizadeh, N., Vahdat, K., Shashaani, S., Swann, J. L., & Ozaltin, O. Y. (2024), PLOS ONE, 19(6). https://doi.org/10.1371/journal.pone.0290215
Temporal pattern mining for knowledge discovery in the early prediction of septic shock
Li, R., Agor, J. K., & Ozaltin, O. Y. (2024), PATTERN RECOGNITION, 151. https://doi.org/10.1016/j.patcog.2024.110436
Detecting Human Trafficking: Automated Classification of Online Customer Reviews of Massage Businesses
Li, R., Tobey, M., Mayorga, M. E., Caltagirone, S., & Ozaltin, O. Y. (2023, February 22), M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT, Vol. 2. https://doi.org/10.1287/msom.2023.1196
Quantifying association and disparities between diabetes complications and COVID-19 outcomes: A retrospective study using electronic health records
Paramita, N. L. P. S. P., Agor, J. K., Mayorga, M. E., Ivy, J. S., Miller, K. E., & Ozaltin, O. Y. (2023), PLOS ONE, 18(9). https://doi.org/10.1371/journal.pone.0286815
Coordination of manufacturing and engineering activities during product transitions
Bansal, A., Ozaltin, O. Y., Uzsoy, R., & Kempf, K. G. (2022, April 9), NAVAL RESEARCH LOGISTICS, Vol. 4. https://doi.org/10.1002/nav.22056
Interpretable models for the automated detection of human trafficking in illicit massage businesses
Tobey, M., Li, R., Ozaltin, O. Y., Mayorga, M. E., & Caltagirone, S. (2022, August 28), IISE TRANSACTIONS, Vol. 8. https://doi.org/10.1080/24725854.2022.2113187
Managing Product Transitions: A Bilevel Programming Approach
Khorramfar, R., Ozaltin, O. Y., Kempf, K. G., & Uzsoy, R. (2022, June 30), INFORMS JOURNAL ON COMPUTING, Vol. 6, pp. 1–17. https://doi.org/10.1287/ijoc.2022.1210
Septic shock prediction and knowledge discovery through temporal pattern mining
Agor, J. K., Li, R., & Ozaltin, O. Y. (2022), ARTIFICIAL INTELLIGENCE IN MEDICINE, 132. https://doi.org/10.1016/j.artmed.2022.102406
Mapping of critical events in disease progression through binary classification: Application to amyotrophic lateral sclerosis
Dalgic, O. O., Wu, H., Erenay, F. S., Sir, Y. M., Ozaltin, Y. O., Crum, A. B., & Pasupathy, S. K. (2021), JOURNAL OF BIOMEDICAL INFORMATICS, 123. https://doi.org/10.1016/j.jbi.2021.103895
Prediction of Sepsis Related Mortality: An Optimization Approach
Agor, J. K., Paramita, N. L. P. S. P., & Ozaltn, O. Y. (2021), IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 25(11), 4207–4216. https://doi.org/10.1109/JBHI.2021.3096470

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Osman Ozaltin