Faculty Directory
Simge Küçükyavuz

Chair of Industrial Engineering and Management Sciences

David A. and Karen Richards Sachs Professor of Industrial Engineering and Management Sciences

Contact

2145 Sheridan Road
Room D237
Evanston, IL 60208-3109

Email Simge Küçükyavuz

Website

Simge's Website

Departments

Industrial Engineering and Management Sciences

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Education

Ph.D. Industrial Engineering and Operations Research, University of California, Berkeley, CA

​​​M.S. Industrial Engineering and Operations Research, University of California, Berkeley, CA

B.S. Industrial Engineering, Middle East Technical University, Ankara, Turkey


Research Interests

Theoretical and Methodological Expertise: 

  • Mixed-Integer Programming
  • Large-Scale Optimization
  • Optimization under Uncertainty
  • Network Optimization

Application Interests: 

  • Infrastructure (e.g. power systems, computing)
  • Social networks
  • Statistical learning
  • Supply chain management
  • Humanitarian logistics


Selected Publications

  1. F. Kilinç-Karzan, S. Küçükyavuz, D. Lee, and S. Shafieezadeh-Abadeh, Conic Mixed-Binary Sets: Convex Hull Characterizations and Applications, forthcoming in Operations Research, 2023+.
  2. L. Wei, A. Atamtürk, A. Gomez and S. Küçükyavuz, On the Convex Hull of Convex Quadratic Optimization Problems with Indicators, forthcoming in Mathematical Programming, 2023+.
  3. S. Küçükyavuz, A. Shojaie, H. Manzour, L. Wei, and H.-H. Wu, Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks, forthcoming in Journal of Machine Learning Research, 2023+.
  4. Q. Yu and S. Küçükyavuz, Strong Valid Inequalities for a Class of Concave Submodular Minimization Problems under Cardinality Constraints, Mathematical Programming, 201(1-2), 803-861, 2023. (Nemhauser Student Paper Prize, 2023.)
  5. P. Liu, S. Fattahi, A. Gomez and S. Küçükyavuz, A Graph-based Decomposition Method for Convex Quadratic Optimization with Indicators, Mathematical Programming, 200(2), 669-701, 2023. (INFORMS Computing Society Student Paper Prize Runner-Up, 2022.)
  6. N. Ho-Nguyen, F. Kilinç-Karzan, S. Küçükyavuz and D. Lee, Strong Formulations for Distributionally Robust Chance-Constrained Programs with Left-Hand Side Uncertainty under Wasserstein Ambiguity, INFORMS Journal on Optimization, 5(2), 211-232, 2023.
  7. N. Ho-Nguyen, F. Kilinç-Karzan, S. Küçükyavuz and D. Lee, Distributionally Robust Chance-Constrained Programs with Right-Hand Side Uncertainty under Wasserstein Ambiguity, Mathematical Programming, 196(1-2), 641-672, 2022.
  8. F. Kilinç-Karzan, S. Küçükyavuz and D. Lee, Joint Chance-Constrained Programs and the Intersection of Mixing Sets through a Submodularity Lens, Mathematical Programming, 195(1-2), 283-326, 2022.
  9. L. Wei, A. Gomez and S. Küçükyavuz, Ideal Formulations for Constrained Convex Optimization Problems with Indicator Variables, Mathematical Programming, 192(1-2), 57-88, 2022. (Nemhauser Student Paper Prize, 2021.)
  10. N. Noyan, M. Merakli and S. Küçükyavuz, Two-stage Stochastic Programming under Multivariate Risk Constraints with an Application to Humanitarian Relief Network Design, Mathematical Programming, 191(1), 7-45, 2022.