Özgün Elçi

PhD Student
Carnegie Mellon University
Tepper School of Business
Operations Research

elci [at] cmu [dot] edu

Research Interests

I am broadly interested in decision making under uncertainty. My current research focuses on
      — exact decomposition-based hybrid optimization methods,
      — large scale stochastic integer programming,
      — data driven optimization,
      — fair allocation of resources,
      — applications in humanitarian logistics and portfolio optimization.


I am a fifth-year PhD student in the Tepper School of Business at Carnegie Mellon University. I work with Gerard Cornuejols on robust portfolio optimization. I also work with John Hooker on fair allocation of resources. Previously, I studied at the Industrial Engineering Program of Sabancı University. My advisors were Nilay Noyan and Kerem Bülbül. I was affiliated with Smart Mobility and Logistics Lab, and I worked on chance-constrained optimization models for humanitarian relief network design.


  1. Elci, O., Hooker, J.N., 2021. Stochastic Planning and Scheduling with Logic-Based Benders Decomposition, INFORMS Journal of Computing, under review.
  2. Elci, O., Noyan, N., and Bulbul, K., 2018. Chance-Constrained Stochastic Programming under Variable Reliability Levels with an Application to Humanitarian Relief Network Design, Computers and Operations Research, 96, 91-107.
  3. Elci, O. and Noyan, N., 2018. A Chance-Constrained Two-Stage Stochastic Programming Model for Humanitarian Relief Network Design, Transportation Research Part B: Methodological, 108, 55-83.

See also

Curriculum Vitae
Scholar Google