Sara Shashaani

Bio

I am an expert in Monte Carlo simulation methodology, and my interest is in analyzing complex stochastic systems to mitigate risks caused by high-impact but rare events.

SHORT DESCRIPTION OF INTERESTS:
Significant uncertainty in climate and human systems along the coastlines makes decision-making for sustainability and progress challenging and costly. I am interested in providing tools for reliable and optimal decisions that hedge against long-term risks with limited resources. More specifically, I seek solutions (decisions) robust to changes in the projected climate and human systems via distributional analysis of uncertainty.

https://shashaani.wordpress.ncsu.edu/

Publications

• Improved feature selection with simulation optimization , OPTIMIZATION AND ENGINEERING (2022)
• Personalized Predictions for Unplanned Urinary Tract Infection Hospitalizations with Hierarchical Clustering , Springer Proceedings in Business and Economics (2022)
• Improved Complexity Of Trust-Region Optimization For Zeroth-Order Stochastic Oracles with Adaptive Sampling , 2021 Winter Simulation Conference (WSC) (2021)
• Non-Parametric Uncertainty Bias and Variance Estimation via Nested Bootstrapping and Influence Functions , 2021 Winter Simulation Conference (WSC) (2021)
• Parameter Calibration with Stratified Adaptive Stochastic Trust-region Optimization , INFORMS Workshop on Quality, Statistics, and Reliability (2021)
• Wake Effect Calibration in Wind Power Systems with Adaptive Sampling Based Optimization , IISE Annual Conference Proceedings (2021)
• A SIMULATION OPTIMIZATION APPROACH FOR MANAGING PRODUCT TRANSITIONS IN MULTISTAGE PRODUCTION LINES , 2020 WINTER SIMULATION CONFERENCE (WSC) (2020)
• SIMULATION OPTIMIZATION BASED FEATURE SELECTION, A STUDY ON DATA-DRIVEN OPTIMIZATION WITH INPUT UNCERTAINTY , 2020 WINTER SIMULATION CONFERENCE (WSC) (2020)
• Traffic Signal Control Simulation and Optimization , Winter Simulation Conference (2020)
• ASTRO for Derivative-Based Stochastic Optimization: Algorithm Description & Numerical Experiments , 2019 Winter Simulation Conference (WSC) (2019)

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Groups

• College: College of Engineering
• Themes: Coupled human and natural systems
• Themes: Energy resilience, and innovations in technology
• Expertise: Engineering and Infrastructure
• Expertise: Modeling
• Expertise: Policy and Planning
• Themes: Sustainable agriculture, forestry, and rural, natural resource-based economies