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 at Berkeley
Industrial Engineering and Operations Research, MS, University of California at Berkeley
Industrial Engineering and Operations Research, PhD, University of California, Berkeley
Industrial Engineering and Operations Research, MS, University of California, Berkeley
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Generalized Submodular Optimization: Theory, Algorithms, and Computation (21-000000918)
Kucukyavuz, S. & Kucukyavuz, S.
8/1/22 → 7/31/25
Project: Research project
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Theoretical Foundations and Scalable Algorithms for Mixed-Integer Convex Optimization with System Choice
5/1/19 → 4/30/23
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 graph-based decomposition method for convex quadratic optimization with indicators
Liu, P., Fattahi, S., Gómez, A. & Küçükyavuz, S., Jul 2023, In: Mathematical Programming. 200, 2, p. 669-701 33 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
On the convex hull of convex quadratic optimization problems with indicators
Wei, L., Atamtürk, A., Gómez, A. & Küçükyavuz, S., 2023, (Accepted/In press) In: Mathematical Programming.Research output: Contribution to journal › Article › peer-review
Open Access -
Strong valid inequalities for a class of concave submodular minimization problems under cardinality constraints
Yu, Q. & Küçükyavuz, S., Sep 2023, In: Mathematical Programming. 201, 1-2, p. 803-861 59 p.Research output: Contribution to journal › Article › peer-review
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Chance-constrained optimization under limited distributional information: A review of reformulations based on sampling and distributional robustness
Küçükyavuz, S. & Jiang, R., Jan 2022, In: EURO Journal on Computational Optimization. 10, 100030.Research output: Contribution to journal › Review article › peer-review
Open Access3 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., Nov 2022, In: Mathematical Programming. 196, 1-2, p. 641-672 32 p.Research output: Contribution to journal › Article › peer-review
12 Scopus citations