Simge Kucukyavuz

Associate Professor, Industrial Engineering and Management Sciences
Industrial Engineering and Management Sciences PhD Program

Emailsimge@northwestern.edu

Source: Scopus

Research output per year

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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

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Network

Recent external collaboration on country level. Dive into details by clicking on the dots.

2 Finished
2 Active

Collaborative Research: CIF: Small: Convexification-based Decomposition Methods for Large-Scale Inference in Graphical Models
Kucukyavuz, S.
National Science Foundation
7/1/20 → 6/30/23
Project: Research project
Theoretical Foundations and Scalable Algorithms for Mixed-Integer Convex Optimization with System Choice
Kucukyavuz, S.
Office of Naval Research
5/1/19 → 4/30/22
Project: Research project
Mixed-Integer Programming Approaches for Risk-Averse Multicriteria Optimization
Kucukyavuz, S.
National Science Foundation
10/1/18 → 7/31/19
Project: Research project
Collaborative Research: 2018 Mixed-Integer Programming Workshop
Kucukyavuz, S.
National Science Foundation
7/15/18 → 6/30/19
Project: Research project

508 Citations
33 Article
3 Conference contribution
2 Chapter
1 Entry for encyclopedia/dictionary

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
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
On the Convexification of Constrained Quadratic Optimization Problems with Indicator Variables
Wei, L., Gómez, A. & Küçükyavuz, S., Jan 1 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
Risk aversion to parameter uncertainty in Markov decision processes with an application to slow-onset disaster relief
Meraklı, M. & Küçükyavuz, S., Aug 2 2020, In: IISE Transactions. 52, 8, p. 811-831 21 p.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
On intersection of two mixing sets with applications to joint chance-constrained programs
Liu, X., Kılınç-Karzan, F. & Küçükyavuz, S., May 1 2019, In: Mathematical Programming. 175, 1-2, p. 29-68 40 p.
Research output: Contribution to journal › Article › peer-review
5 Scopus citations