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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Network
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)
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 → 4/30/22
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 graph-based decomposition method for convex quadratic optimization with indicators
Liu, P., Fattahi, S., Gómez, A. & Küçükyavuz, S., 2022, (Accepted/In press) In: Mathematical Programming.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 Access -
Ideal formulations for constrained convex optimization problems with indicator variables
Wei, L., Gómez, A. & Küçükyavuz, S., Mar 2022, In: Mathematical Programming. 192, 1-2, p. 57-88 32 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Two-stage stochastic programming under multivariate risk constraints with an application to humanitarian relief network design
Noyan, N., Meraklı, M. & Küçükyavuz, S., Jan 2022, In: Mathematical Programming. 191, 1, p. 7-45 39 p.Research output: Contribution to journal › Article › peer-review
10 Scopus citations -
An exact cutting plane method for k-submodular function maximization
Yu, Q. & Küçükyavuz, S., Nov 2021, In: Discrete Optimization. 42, 100670.Research output: Contribution to journal › Article › peer-review
1 Scopus citations