Simge Küçükyavuz
Biosketch
Simge Küçükyavuz is Chair and David A. and Karen Richards Sachs 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 an INFORMS Fellow, and 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, Operations Research, 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
- Keynote speaker, Inaugural ISE Student Conference, University of Illinois Urbana-Champaign, April 2024.
- Seminar speaker, Workshop in Operations/Management Science, University of Chicago, March 2024.
- Seminar speaker, Industrial and Systems Engineering, University of Florida, March 2024.
- Visiting Professor, Vienna Graduate School on Computational Optimization, Faculty of Mathematics, University of Vienna, Jan 2024.
- Joined the editorial board of Operations Research as an Associate Editor.
- Our paper, Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks, is published in Journal of Machine Learning Research.
- Elected as INFORMS Fellow, October 2023.
- Invited tutorial speaker at INFORMS 2023, Phoenix, AZ, October 2023. The accompanying paper is published in TutORials in Operations Research.
- Received new Northwestern Institute on Complex Systems grant titled A Complex Challenge: Social Learning in the Age of Artificial Intelligence with W. Brady and E-A. Horvat, October 2023.
- Seminar speaker, Industrial and Systems Engineering, Georgia Tech, October 2023.
- Started my term as Department Chair and David A. and Karen Richards Sachs Professor, September 2023.
- Invited participant at Mixed-integer Nonlinear Optimization: A Hatchery for Modern Mathematics, Oberwolfach, Germany, August 2023.
- Congratulations to Kim Yu for defending her Ph.D. thesis. She will join University of Montreal as an assistant professor in Fall 2023.
- Invited plenary speaker at ICSP 2023, the XVI International Conference on Stochastic Programming, Davis, CA, July 2023.
- Our paper, A Graph-based Decomposition Method for Convex Quadratic Optimization with Indicators, is published in Mathematical Programming.
- Our paper, On the Convex Hull of Convex Quadratic Optimization Problems with Indicators, is published in Mathematical Programming.
- Invited speaker at SIAM Conference on Optimization (OP23), Seattle, WA, May 2023.
- Congratulations to Kim Yu for receiving the 2023 Nemhauser Student Paper Prize.
- Our paper, Chance-Constrained Optimization under Limited Distributional Information: A Review of Reformulations Based on Sampling and Distributional Robustness, received Honorable Mention for the EURO Journal on Computational Optimization (EJCO) Marguerite Frank Best Paper Prize, 2022.
- Seminar speaker, Operations Research and Financial Engineering, Princeton University, April 2023.
Link to my department profile.