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 Complexity of Trust-region Optimization for Zeroth-order Stochastic Oracles with Adaptive Sampling , Proceedings of the 2021 Winter Simulation Conference (2021)
- Non-parametric Uncertainty Bias and Variance Estimation via Nested Bootstrapping and Influence Functions , Proceedings of the 2021 Winter Simulation Conference (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 , IIE Annual Conference Proceedings (2021)
- A SIMULATION OPTIMIZATION APPROACH FOR MANAGING PRODUCT TRANSITIONS IN MULTISTAGE PRODUCTION LINES , 2020 WINTER SIMULATION CONFERENCE (WSC) (2020)
- Personalized Predictions for Unplanned Urinary Tract Infection Hospitalizations with Hierarchical Clustering , INFORMS Conference on Service Science (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)
- Statistical Modeling in Absence of System Specific Data: Exploratory Empirical Analysis for Prediction of Water Main Breaks , JOURNAL OF INFRASTRUCTURE SYSTEMS (2019)
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