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 C216
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. 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+.
  2. T. Xu, S. Küçükyavuz, A. Shojaie and A. Taeb, An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models, forthcoming in Journal of Machine Learning Research, 2025+.
  3. P. Liu, A. Atamtürk, A. Gomez and S. Küçükyavuz, Polyhedral Analysis of Quadratic Optimization Problems with Stieltjes Matrices and Indicators, forthcoming in Mathematical Programming, 2025+.
  4. A. Bhathena, S. Fattahi, A. Gomez and S. Küçükyavuz, A Parametric Approach for Solving Convex Quadratic Optimization with Indicators Over Trees, forthcoming in Mathematical Programming, 2025+.
  5. T. Xu, A. Taeb, S. Küçükyavuz, A. Shojaie, Integer Programming for Learning Directed Acyclic Graphs from Non-identifiable Gaussian Models, Biometrika, 112(3), asaf032, 2025. (Nelson Student Paper Prize, 2026.)
  6. X. Xie, I. Gurvich and S. Küçükyavuz, Dynamic Allocation of Reusable Resources: Logarithmic Regret in Overloaded Networks, Operations Research, 73(4), 2097-2124, 2025.
  7. Q. Yu and S. Küçükyavuz, On Constrained Mixed-Integer DR-Submodular Minimization, Mathematics of Operations Research, 50(2), 871-909, 2025. (Mixed-Integer Programming (MIP) Workshop Student Poster Prize Honorable Mention, 2022.)
  8. F. Kilinç-Karzan, S. Küçükyavuz, D. Lee and S. Shafieezadeh-Abadeh, Conic Mixed-Binary Sets: Convex Hull Characterizations and Applications, Operations Research, 73(1), 251-269, 2025.
  9. L. Wei, A. Atamtürk, A. Gomez and S. Küçükyavuz, On the Convex Hull of Convex Quadratic Optimization Problems with Indicators, Mathematical Programming, 204(1-2), 703-737, 2024.
  10. S. Küçükyavuz, A. Shojaie, H. Manzour, L. Wei and H.-H. Wu, Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks, Journal of Machine Learning Research, 24(322), 1-38, 2023.
  11. 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.)
  12. 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.)