Simge Küçükyavuz
Biosketch
Simge Küçükyavuz is a Professor in the Industrial Engineering and Management Sciences Department at Northwestern University. She is an expert in mixed-integer, large-scale, and stochastic optimization. Her methodologies have applications in complex computational problems across numerous domains, including social networks, computing and energy infrastructure, statistical learning, and logistics. Her research has been supported by multiple grants from the National Science Foundation (NSF) and the Office of Naval Research (ONR). She is the recipient of the 2011 NSF CAREER Award and a co-winner of the 2015 INFORMS Computing Society (ICS) Prize. She is the past chair of ICS and serves on the editorial boards of Mathematics of Operations Research, Mathematical Programming, SIAM Journal on Optimization, and MOS-SIAM Optimization Book Series. She received her Ph.D. in Industrial Engineering and Operations Research from the University of California, Berkeley.
Recent News and Events
- Seminar speaker, Industrial Engineering and Operations Research, University of California, Berkeley, November 28, 2022.
- Seminar speaker, Industrial and Systems Engineering, University of Southern California, October 25, 2022.
- Our paper, Strong Formulations for Distributionally Robust Chance-Constrained Programs with Left-Hand Side Uncertainty under Wasserstein Ambiguity, is published in INFORMS Journal on Optimization.
- Congratulations to Peijing Liu for receiving the INFORMS Computing Society Student Paper Prize Runner-Up Prize for our paper, A Graph-based Decomposition Method for Convex Quadratic Optimization with Indicators.
- Invited semi-plenary speaker at ISMP 2022, the 24th International Symposium on Mathematical Programming, Aug 14-Aug 19, 2022 (Slides).
- Received new Office of Naval Research grant titled Generalized Submodular Optimization: Theory, Algorithms, and Computation.
- Congratulations to Linchuan Wei and Kim Yu for receiving Terminal Year Fellowships from McCormick School of Engineering and Applied Science.
- Our paper, A Graph-based Decomposition Method for Convex Quadratic Optimization with Indicators, is published in Mathematical Programming.
- Congratulations to Kim Yu for being selected to the FutureBAProf event.
- Congratulations to Kim Yu for receiving honorable mention for the MIP 2022 Poster Prize.
- Congratulations to Kim Yu for being selected to the Rising Stars in Computational and Data Sciences event.
- Our invited survey, Chance-Constrained Optimization under Limited Distributional Information: A Review of Reformulations Based on Sampling and Distributional Robustness, is published in EURO Journal on Computational Optimization.
- Our paper, Ideal Formulations for Constrained Convex Optimization Problems with Indicator Variables, is published in Mathematical Programming.
- Received NU-INFORMS Graduate Teaching Award for Academic Years 2019-2020, and 2020-2021.
- Our paper, An Exact Cutting Plane Method for k-submodular Function Maximization, is published in Discrete Optimization.
- Invited plenary speaker at Modeling and Optimization: Theory and Algorithms, (Aug 2-Aug 4, 2021, Bethlehem, PA).
- Our paper, Joint Chance-Constrained Programs and the Intersection of Mixing Sets through a Submodularity Lens, is published in Mathematical Programming.
Link to my department profile.
