Sara Shashaani
Assistant Professor
- Phone: 919.515.6400
- Email: sshasha2@ncsu.edu
- Office: 4175 Fitts-Woolard Hall
Sara Shashaani joined the Department of Industrial and Systems Engineering as an assistant professor in January 2019. Prior to joining the NC State faculty, she was a postdoctoral fellow at the Department of Industrial and Operations Engineering at the University of Michigan, where she worked on designing and improving probabilistic predictive models, specifically used for hurricane-induced power outages, with challenges in highly imbalanced datasets and a large set of explanatory variables. Her dissertation research in the area of derivative-free simulation optimization awarded her a Ph.D. degree in Industrial Engineering from Purdue University in 2016. Besides her research, she is passionate about activities that target the environment, community wellness, and science communication.
Discover more about Sara Shashaani
Publications
- A Simulation Optimization Approach for Managing Product Transitions in Multistage Production Lines
- , (2020). Winter Simulation Conference.
- Personalized Predictions for Unplanned Urinary Tract Infection Hospitalizations with Hierarchical Clustering
- , (2020). INFORMS Conference on Service Science.
- Simulation Optimization Based Feature Selection, a Study on Data-driven Optimization with Input Uncertainty
- , (2020). Winter Simulation Conference.
- Traffic Signal Control Simulation and Optimization
- , (2020). Winter Simulation Conference.
- ASTRO for Derivative-Based Stochastic Optimization: Algorithm Description & Numerical Experiments
- ASTRO for Derivative-Based Stochastic Optimization: Algorithm Description & Numerical Experiments. (2019). 2019 Winter Simulation Conference (WSC). https://doi.org/10.1109/wsc40007.2019.9004904,
- Statistical Modeling in Absence of System Specific Data: Exploratory Empirical Analysis for Prediction of Water Main Breaks
- Chen, T. Y.-J., Beekman, J. A., Guikema, S. D., & Shashaani, S. (2019), JOURNAL OF INFRASTRUCTURE SYSTEMS, 25(2). https://doi.org/10.1061/(ASCE)IS.1943-555X.0000482
- ASTRO-DF: A Class of Adaptive Sampling Trust-Region Algorithms for Derivative-Free Stochastic Optimization
- , (2018). SIAM Journal on Optimization. https://doi.org/10.1137/15m1042425
- Multi-Stage Prediction for Zero-Inflated Hurricane Induced Power Outages
- Shashaani, S., Guikema, S. D., Zhai, C., Pino, J. V., & Quiring, S. M. (2018), IEEE Access, 6, 62432–62449. https://doi.org/10.1109/ACCESS.2018.2877078
- ASTRO-DF: Adaptive sampling trust-region optimization algorithms, heuristics, and numerical experience
- , (2016). 2016 Winter Simulation Conference (WSC). https://doi.org/10.1109/wsc.2016.7822121
- A Simulation Optimization Approach to Epidemic Forecasting
- , (2013). PLoS ONE. https://doi.org/10.1371/journal.pone.0067164
