| 2025 | WSC | Worst-Case Approximations for Robust Analysis in Multiserver Queues and Queuing Networks. | Hyung-Khee Eun, Sara Shashaani, Russell R. Barton |
| 2025 | WSC | Dynamic Calibration of Digital Twin via Stochastic Simulation: A Wind Energy Case Study. | Yongseok Jeon, Sara Shashaani, Eunshin Byon, Pranav Jain |
| 2025 | WSC | Dynamic Calibration Framework for Digital Twins Using Active Learning and Conformal Prediction. | zge Srer, Xi Chen, Sara Shashaani |
| 2024 | WSC | Comparative Analysis of Distance Metrics for Distributionally Robust Optimization in Queuing Systems: Wasserstein vs. Kingman. | Hyung-Khee Eun, Sara Shashaani, Russell R. Barton |
| 2024 | WSC | Repeatedly Solving Similar Simulation-Optimization Problems: Insights from Data Farming. | Nicole Felice, Sara Shashaani, David J. Eckman, Susan M. Sanchez |
| 2024 | WSC | Robust Screening and Partitioning for Feature Selection: A Binary Simulation Optimization Problem. | Ethan Houser, Sara Shashaani |
| 2024 | WSC | Calibrating Digital Twins via Bayesian Optimization with a Root Finding Strategy. | Yongseok Jeon, Sara Shashaani |
| 2024 | WSC | Simulation Optimization: An Introductory Tutorial on Methodology. | Sara Shashaani |
| 2023 | WSC | Stochastic Constraints: How Feasible Is Feasible? | David J. Eckman, Shane G. Henderson, Sara Shashaani |
| 2023 | WSC | Towards Greener Stochastic Derivative-Free Optimization with Trust Regions and Adaptive Sampling. | Yunsoo Ha, Sara Shashaani |
| 2023 | WSC | Dynamic Stratification and Post-Stratified Adaptive Sampling for Simulation Optimization. | Pranav Jain, Sara Shashaani |
| 2023 | WSC | Adaptive Ranking and Selection Based Genetic Algorithms for Data-Driven Problems. | Kimia Vahdat, Sara Shashaani |
| 2022 | WSC | Robust Simulation Optimization with Stratification. | Pranav Jain, Eunshin Byon, Sara Shashaani |
| 2021 | WSC | Improved Complexity Of Trust-Region Optimization For Zeroth-Order Stochastic Oracles with Adaptive Sampling. | Yunsoo Ha, Sara Shashaani, Quoc Tran-Dinh |
| 2021 | WSC | Non-Parametric Uncertainty Bias and Variance Estimation via Nested Bootstrapping and Influence Functions. | Kimia Vahdat, Sara Shashaani |
| 2020 | WSC | A Simulation Optimization Approach for Managing Product Transitions in Multistage Production Lines. | Atchyuta Bharadwaj Manda, Karthick Gopalswamy, Sara Shashaani, Reha Uzsoy |
| 2020 | WSC | Simulation Optimization Based Feature Selection, a Study on Data-Driven Optimization with Input Uncertainty. | Kimia Vahdat, Sara Shashaani |
| 2019 | WSC | Astro for Derivative-Based Stochastic Optimization: Algorithm Description & Numerical Experiments. | Daniel Vasquez, Raghu Pasupathy, Sara Shashaani |
| 2016 | WSC | ASTRO-DF: Adaptive sampling trust-region optimization algorithms, heuristics, and numerical experience. | Sara Shashaani, Susan R. Hunter, Raghu Pasupathy |
| 2012 | WSC | Using simulation in hospital layout planning. | Ines V. Arnolds, Stefan Nickel, Sara Shashaani, Christian Wernz |