Sara Shashaani

Improved Feature Selection with Simulation Optimization. (2022). Optimization and Engineering.

Mao, L., Vahdat, K., Shashaani, S., & Swann, J. L. (2022). Personalized Predictions for Unplanned Urinary Tract Infection Hospitalizations with Hierarchical Clustering. In Springer Proceedings in Business and Economics (pp. 453–465). https://doi.org/10.1007/978-3-030-75166-1_34

Ha, Y., Shashaani, S., & Tran-Dinh, Q. (2021). Improved Complexity Of Trust-Region Optimization For Zeroth-Order Stochastic Oracles with Adaptive Sampling. 2021 Winter Simulation Conference (WSC). https://doi.org/10.1109/wsc52266.2021.9715529

Vahdat, K., & Shashaani, S. (2021). Non-Parametric Uncertainty Bias and Variance Estimation via Nested Bootstrapping and Influence Functions. 2021 Winter Simulation Conference (WSC). https://doi.org/10.1109/wsc52266.2021.9715420

Parameter Calibration with Stratified Adaptive Stochastic Trust-region Optimization. (2021). INFORMS Workshop on Quality, Statistics, and Reliability.

Wake Effect Calibration in Wind Power Systems with Adaptive Sampling Based Optimization. (2021). IIE Annual Conference Proceedings.

Manda, A. B., Gopalswamy, K., Shashaani, S., & Uzsoy, R. (2020). A SIMULATION OPTIMIZATION APPROACH FOR MANAGING PRODUCT TRANSITIONS IN MULTISTAGE PRODUCTION LINES. 2020 WINTER SIMULATION CONFERENCE (WSC). https://doi.org/10.1109/wsc48552.2020.9384036

Personalized Predictions for Unplanned Urinary Tract Infection Hospitalizations with Hierarchical Clustering. (2020). INFORMS Conference on Service Science.

Vahdat, K., & Shashaani, S. (2020). SIMULATION OPTIMIZATION BASED FEATURE SELECTION, A STUDY ON DATA-DRIVEN OPTIMIZATION WITH INPUT UNCERTAINTY. 2020 WINTER SIMULATION CONFERENCE (WSC), pp. 2149–2160. https://doi.org/10.1109/WSC48552.2020.9383862

Traffic Signal Control Simulation and Optimization. (2020). Winter Simulation Conference.

ASTRO for Derivative-Based Stochastic Optimization: Algorithm Description & Numerical Experiments. (2019). 2019 Winter Simulation Conference (WSC). https://doi.org/10.1109/wsc40007.2019.9004904

Chen, T. Y.-J., Beekman, J. A., Guikema, S. D., & Shashaani, S. (2019). Statistical Modeling in Absence of System Specific Data: Exploratory Empirical Analysis for Prediction of Water Main Breaks. 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

Shashaani, S., Guikema, S. D., Zhai, C., Pino, J. V., & Quiring, S. M. (2018). Multi-Stage Prediction for Zero-Inflated Hurricane Induced Power Outages. 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

Single-machine batch scheduling minimizing weighted flow times and delivery costs. (2011). Applied Mathematical Modelling. https://doi.org/10.1016/j.apm.2010.07.023