Grants per year
Personal profile
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
Education/Academic qualification
Industrial Engineering, BS, Middle East Technical University
Industrial Engineering and Operations Research, PhD, University of California, Berkeley
Industrial Engineering and Operations Research, MS, University of California, Berkeley
Fingerprint
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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Theoretical Foundations and Scalable Algorithms for Mixed-Integer Convex Optimization with System Choice
5/1/19 → 4/30/22
Project: Research project
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Mixed-Integer Programming Approaches for Risk-Averse Multicriteria Optimization
10/1/18 → 7/31/19
Project: Research project
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Collaborative Research: 2018 Mixed-Integer Programming Workshop
7/15/18 → 6/30/19
Project: Research project
Research Output
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A polyhedral approach to bisubmodular function minimization
Yu, Q. & Küçükyavuz, S., Jan 2021, In: Operations Research Letters. 49, 1, p. 5-10 6 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Distributionally robust chance-constrained programs with right-hand side uncertainty under Wasserstein ambiguity
Ho-Nguyen, N., Kılınç-Karzan, F., Küçükyavuz, S. & Lee, D., 2021, (Accepted/In press) In: Mathematical Programming.Research output: Contribution to journal › Article › peer-review
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Joint chance-constrained programs and the intersection of mixing sets through a submodularity lens
Kılınç-Karzan, F., Küçükyavuz, S. & Lee, D., 2021, (Accepted/In press) In: Mathematical Programming.Research output: Contribution to journal › Article › peer-review
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An exact method for constrained maximization of the conditional value-at-risk of a class of stochastic submodular functions
Wu, H. H. & Küçükyavuz, S., May 2020, In: Operations Research Letters. 48, 3, p. 356-361 6 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
On the Convexification of Constrained Quadratic Optimization Problems with Indicator Variables
Wei, L., Gómez, A. & Küçükyavuz, S., 2020, Integer Programming and Combinatorial Optimization - 21st International Conference, IPCO 2020, Proceedings. Bienstock, D. & Zambelli, G. (eds.). Springer, p. 433-447 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12125 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations