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Assistant Professor of Personalized MedicineOffice phone: (919) 515-6399
Office fax: (919) 515-5281
Office location: 368 Daniels Hall
PhD, University of Pittsburgh, 2011
MS, University of Pittsburgh, 2007
BS, Bogazici University, Istanbul 2005
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 Assistant 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 PhD in Industrial Engineering from the University of Pittsburgh.
Areas of Interest
Optimization of service systems, particularly in health care; vaccine design and supply chain; public health policy making, public service delivery, disease management and treatment scheduling, optimization of parameters in bioinformatics models, decision making under uncertainty.
- Ozaltin, O. Y., Hunsaker B., & Schaefer, A. J. (2011). Predicting the solution time of branch- and-bound algorithms for mixed-integer programs. INFORMS Journal on Computing, 23 (3), 392-403.
- Ozaltin, O. Y., Prokopyev, O. A., Schaefer, A. J., & Roberts, M. S. (2010). Optimizing the Societal Benefits of the Annual Influenza Vaccine: A Stochastic Programming Approach. Operations Research, 59 (5), 1131-1143.
- Ozaltin, O. Y., Prokopyev, O. A., & Schaefer, A. J. (2010). The bilevel knapsack problem withrnstochastic right-hand sides. Operations Research Letters, 38 (4), 328-333.
- Ozaltin, O. Y., Prokopyev, O. A., & Schaefer, A. J. (2009). Two-stage quadratic integer programs with stochastic right-hand-sides. Mathematical Programming, DOI: 10.1007/s10107-010-0412-4.