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 NSF CAREER Award and the 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
- Invited plenary speaker at ICSP 2023, the XVI International Conference on Stochastic Programming, July 2023.
- Our paper, Chance-Constrained Optimization under Limited Distributional Information: A Review of Reformulations Based on Sampling and Distributional Robustness, received Honorable Mention in EURO Journal on Computational Optimization (EJCO) Best Paper Prize, 2022.
- Seminar speaker, Operations Research and Financial Engineering, Princeton University, April 2023.
- Invited speaker at Linear and Non-Linear Mixed Integer Optimization Workshop, ICERM, Brown University, February 2023.
- Invited speaker at Machine Learning NeEDS Mathematical Optimization, February 2023 (Video).
- Invited speaker at US and Mexico Workshop on Optimization and its Applications, Huatulco, Mexico, January 2023.
- Our paper, Strong Valid Inequalities for a Class of Concave Submodular Minimization Problems under Cardinality Constraints, is published in Mathematical Programming.
- Seminar speaker, Industrial Engineering and Operations Research, University of California, Berkeley, November 2022.
- Seminar speaker, Industrial and Systems Engineering, University of Southern California, October 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, August 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.
Link to my department profile.
