| ASTRO-DF: A class of adaptive sampling trust-region algorithms for derivative-free stochastic optimization S Shashaani, FS Hashemi, R Pasupathy SIAM Journal on Optimization 28 (4), 3145-3176, 2018 | 95 | 2018 |
| A simulation optimization approach to epidemic forecasting EO Nsoesie, RJ Beckman, S Shashaani, KS Nagaraj, MV Marathe PloS one 8 (6), e67164, 2013 | 89 | 2013 |
| Single-machine batch scheduling minimizing weighted flow times and delivery costs MM Mazdeh, S Shashaani, A Ashouri, KS Hindi Applied Mathematical Modelling 35 (1), 563-570, 2011 | 68 | 2011 |
| Multi-stage prediction for zero-inflated hurricane induced power outages S Shashaani, SD Guikema, C Zhai, JV Pino, SM Quiring IEEE Access 6, 62432-62449, 2018 | 38 | 2018 |
| Statistical modeling in absence of system specific data: exploratory empirical analysis for prediction of water main breaks TYJ Chen, JA Beekman, S David Guikema, S Shashaani Journal of Infrastructure Systems 25 (2), 04019009, 2019 | 24 | 2019 |
| Using simulation in hospital layout planning I Arnolds, S Nickel, S Shashaani, C Wernz Proceedings of the winter simulation conference, 1-2, 2012 | 22 | 2012 |
| Diagnostic tools for evaluating and comparing simulation-optimization algorithms DJ Eckman, SG Henderson, S Shashaani INFORMS Journal on Computing 35 (2), 350-367, 2023 | 13 | 2023 |
| SimOpt: A testbed for simulation-optimization experiments DJ Eckman, SG Henderson, S Shashaani INFORMS Journal on Computing 35 (2), 495-508, 2023 | 12 | 2023 |
| ASTRO-DF: Adaptive sampling trust-region optimization algorithms, heuristics, and numerical experience S Shashaani, SR Hunter, R Pasupathy 2016 Winter Simulation Conference (WSC), 554-565, 2016 | 12 | 2016 |
| Chemotherapy patient scheduling and uncertainty S Shashaani Purdue University, 2011 | 12 | 2011 |
| Iteration complexity and finite-time efficiency of adaptive sampling trust-region methods for stochastic derivative-free optimization Y Ha, S Shashaani IISE Transactions, 1-26, 2024 | 10 | 2024 |
| Improved feature selection with simulation optimization S Shashaani, K Vahdat Optimization and Engineering 24 (2), 1183-1223, 2023 | 8 | 2023 |
| Astro for derivative-based stochastic optimization: Algorithm description & numerical experiments D Vasquez, S Shashaani, R Pasupathy 2019 Winter Simulation Conference (WSC), 3563-3574, 2019 | 8 | 2019 |
| Wake effect parameter calibration with large-scale field operational data using stochastic optimization P Jain, S Shashaani, E Byon Applied Energy 347, 121426, 2023 | 6 | 2023 |
| Simulation Optimization Based Feature Selection, a Study on Data-driven Optimization with Input Uncertainty K Vahdat, S Shashaani In Proceedings of the 2020 Winter Simulation Conference, Piscataway, NJ …, 2020 | 6 | 2020 |
| Robust prediction error estimation with Monte-Carlo methodology K Vahdat, S Shashaani arXiv preprint arXiv:2207.13612, 2022 | 5 | 2022 |
| Improved complexity of trust-region optimization for zeroth-order stochastic oracles with adaptive sampling Y Ha, S Shashaani, Q Tran-Dinh 2021 Winter Simulation Conference (WSC), 1-12, 2021 | 5 | 2021 |
| Non-parametric uncertainty bias and variance estimation via nested bootstrapping and influence functions K Vahdat, S Shashaani 2021 Winter Simulation Conference (WSC), 1-12, 2021 | 5 | 2021 |
| Wake Effect Calibration in Wind Power Systems with Adaptive Sampling based Optimization P Jain, S Shashaani, E Byon IIE Annual Conference. Proceedings, 2021 | 5 | 2021 |
| Evaluating and comparing simulation-optimization algorithms DJ Eckman, SG Henderson, S Shashaani Under review, 2021 | 4 | 2021 |
