Sara Shashaani

Works (48)

Updated: February 19th, 2026 15:58

2025 article

Complexity of Zeroth- and First-Order Stochastic Trust-Region Algorithms

Ha, Y., Shashaani, S., & Pasupathy, R. (2025, September 17). SIAM Journal on Optimization.

By: Y. Ha*, S. Shashaani*  & R. Pasupathy *

author keywords: stochastic optimization; efficiency; variance reduction; sample-path structure
topics (OpenAlex): Stochastic Gradient Optimization Techniques; Cryptography and Data Security; Privacy-Preserving Technologies in Data
Sources: Web Of Science, ORCID, NC State University Libraries
Added: October 7, 2025

2025 article

Dynamic Calibration Framework for Digital Twins Using Active Learning and Conformal Prediction

Sürer, Ö., & Shashaani, S. (2025, December 7). (Vol. 12). Vol. 12.

By: Ö. Sürer * & S. Shashaani n 

topics (OpenAlex): Model Reduction and Neural Networks; Neural Networks and Reservoir Computing; Control Systems and Identification
Sources: NC State University Libraries, NC State University Libraries
Added: January 26, 2026

2025 article

Dynamic Calibration of Digital Twin via Stochastic Simulation: A Wind Energy Case Study

Jeon, Y., Shashaani, S., Byon, E., & Jain, P. (2025, December 7). (Vol. 12). Vol. 12.

By: Y. Jeon n, S. Shashaani n , E. Byon * & P. Jain n

topics (OpenAlex): Wind Energy Research and Development; Real-time simulation and control systems; Advanced Aircraft Design and Technologies
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: NC State University Libraries, NC State University Libraries
Added: January 26, 2026

2025 article

Worst-Case Approximations for Robust Analysis in Multiserver Queues and Queuing Networks

Eun, H.-K., Shashaani, S., & Barton, R. R. (2025, December 7). (Vol. 12). Vol. 12.

By: H. Eun n, S. Shashaani n  & R. Barton *

topics (OpenAlex): Advanced Queuing Theory Analysis; Simulation Techniques and Applications; Real-Time Systems Scheduling
Sources: NC State University Libraries, NC State University Libraries
Added: January 26, 2026

2024 article

Building Trees for Probabilistic Prediction via Scoring Rules

Shashaani, S., Sürer, Ö., Plumlee, M., & Guikema, S. (2024, April 15). Technometrics, Vol. 5.

By: S. Shashaani n , Ö. Sürer *, M. Plumlee * & S. Guikema *

author keywords: Forecast evaluation; Interval scores; Machine learning; Proper scores; Uncertainty
topics (OpenAlex): Data Mining Algorithms and Applications
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: May 28, 2024

2024 article

Calibrating Digital Twins via Bayesian Optimization with a Root Finding Strategy

Jeon, Y., & Shashaani, S. (2024, December 15). 2024 WINTER SIMULATION CONFERENCE, WSC, pp. 335–346.

By: Y. Jeon n & S. Shashaani n 

topics (OpenAlex): Digital Transformation in Industry; Manufacturing Process and Optimization
Sources: Web Of Science, NC State University Libraries
Added: May 6, 2025

2024 article

Code and Data Repository for Two-Stage Estimation and Variance Modeling for Latency-Constrained Variational Quantum Algorithms

Ha, Y., Shashaani, S., & Menickelly, M. (2024, November 27). INFORMS Journal on Computing.

By: Y. Ha, S. Shashaani*  & M. Menickelly

topics (OpenAlex): Quantum Computing Algorithms and Architecture; Neural Networks and Reservoir Computing; Quantum Information and Cryptography
Source: ORCID
Added: December 16, 2024

2024 article

Comparative Analysis of Distance Metrics for Distributionally Robust Optimization in Queuing Systems: Wasserstein vs. Kingman

Eun, H.-K., Shashaani, S., & Barton, R. R. (2024, December 15). 2024 WINTER SIMULATION CONFERENCE, WSC, pp. 3368–3379.

By: H. Eun n, S. Shashaani n  & R. Barton *

topics (OpenAlex): Advanced Optimization Algorithms Research; Optimization and Mathematical Programming
Sources: Web Of Science, NC State University Libraries
Added: May 6, 2025

2024 article

Data Farming the Parameters of Simulation-Optimization Solvers

Shashaani, S., Eckman, D., & Sanchez, S. (2024, July 23). ACM Transactions on Modeling and Computer Simulation, Vol. 34.

By: S. Shashaani n , D. Eckman * & S. Sanchez *

author keywords: Computing methodologies- Simulation evaluation; Modeling and simulation; General and reference- Experimentation
topics (OpenAlex): Machine Learning and Data Classification; Advanced Multi-Objective Optimization Algorithms; Machine Learning and Algorithms
Sources: ORCID, Web Of Science, NC State University Libraries
Added: August 1, 2024

2024 article

Iteration complexity and finite-time efficiency of adaptive sampling trust-region methods for stochastic derivative-free optimization

Ha, Y., & Shashaani, S. (2024, March 27). IISE Transactions, Vol. 4.

By: Y. Ha n & S. Shashaani n 

author keywords: Simulation optimization; zeroth-order oracle; finite-time performance
topics (OpenAlex): Stochastic Gradient Optimization Techniques; Markov Chains and Monte Carlo Methods; Sparse and Compressive Sensing Techniques
TL;DR: It is proved that the adaptive sampling with interpolation-based trust regions or ASTRO-DF has a canonical iteration complexity of $\mathcal{O}(\epsilon^{-2})$ almost surely, which is the first guarantee of its kind without placing assumptions on the quality of function estimates or model quality or independence between them. (via Semantic Scholar)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: April 1, 2024

2024 article

Repeatedly Solving Similar Simulation-Optimization Problems: Insights from Data Farming

Felice, N., Shashaani, S., Eckman, D. J., & Sanchez, S. M. (2024, December 15). 2024 WINTER SIMULATION CONFERENCE, WSC, pp. 3470–3481.

By: N. Felice n, S. Shashaani n , D. Eckman * & S. Sanchez *

topics (OpenAlex): Simulation Techniques and Applications
Sources: Web Of Science, NC State University Libraries
Added: May 6, 2025

2024 article

Risk score models for urinary tract infection hospitalization

Alizadeh, N., Vahdat, K., Shashaani, S., Swann, J. L., & Özaltιn, O. Y. (2024, June 14). (G. P. Villavicencio, Ed.). PLoS ONE, Vol. 19.

By: N. Alizadeh n, K. Vahdat n , S. Shashaani n , J. Swann n  & O. Özaltιn n 

Ed(s): G. Villavicencio

MeSH headings : Humans; Urinary Tract Infections / epidemiology; Urinary Tract Infections / diagnosis; Hospitalization; Female; Risk Factors; Male; United States / epidemiology; Risk Assessment / methods; Logistic Models; Aged; Middle Aged
topics (OpenAlex): Urinary Tract Infections Management; Colorectal Cancer Screening and Detection; Pelvic floor disorders treatments
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: ORCID, Web Of Science, NC State University Libraries
Added: June 15, 2024

2024 article

Robust Screening and Partitioning for Feature Selection: A Binary Simulation Optimization Problem

Houser, E., & Shashaani, S. (2024, December 15). 2024 WINTER SIMULATION CONFERENCE, WSC, pp. 3229–3240.

By: E. Houser n & S. Shashaani n 

topics (OpenAlex): Machine Learning and Data Classification
Sources: Web Of Science, NC State University Libraries
Added: May 6, 2025

2024 article

Simulation Optimization: An Introductory Tutorial on Methodology

Shashaani, S. (2024, December 15). 2024 WINTER SIMULATION CONFERENCE, WSC, pp. 1308–1322.

By: S. Shashaani n 

topics (OpenAlex): Simulation Techniques and Applications
Sources: Web Of Science, NC State University Libraries
Added: May 6, 2025

2024 article

Simulation model calibration with dynamic stratification and adaptive sampling

Jain, P., Shashaani, S., & Byon, E. (2024, November 1). Journal of Simulation, Vol. 11.

By: P. Jain n, S. Shashaani n  & E. Byon *

author keywords: Data-driven calibration; heteroscedasticity; post-stratification; trust-region optimization
topics (OpenAlex): Simulation Techniques and Applications; Probabilistic and Robust Engineering Design; Advanced Multi-Objective Optimization Algorithms
Sources: ORCID, Web Of Science, NC State University Libraries
Added: November 1, 2024

2024 article

Strata Design for Variance Reduction in Stochastic Simulation

Park, J., Byon, E., Ko, Y. M., & Shashaani, S. (2024, October 17). Technometrics, Vol. 11.

By: J. Park *, E. Byon *, Y. Ko * & S. Shashaani n 

author keywords: Monte Carlo simulation; Reliability; Stratified sampling; Variance reduction
topics (OpenAlex): Simulation Techniques and Applications; Probabilistic and Robust Engineering Design; Advanced Multi-Objective Optimization Algorithms
Sources: ORCID, Web Of Science, NC State University Libraries
Added: October 23, 2024

2024 article

Two-Stage Estimation and Variance Modeling for Latency-Constrained Variational Quantum Algorithms

Ha, Y., Shashaani, S., & Menickelly, M. (2024, November 27). INFORMS Journal on Computing, Vol. 11.

By: Y. Ha *, S. Shashaani n  & M. Menickelly *

author keywords: quantum approximate optimization algorithm; simulation optimization; derivative-free optimization; two-stage estimation; state-dependent noise; trust-region optimization; adaptive sampling
topics (OpenAlex): Quantum Computing Algorithms and Architecture; Quantum Information and Cryptography; Neural Networks and Reservoir Computing
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure (OpenAlex)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: November 27, 2024

2024 article

Uncertainty quantification using simulation output: batching as an inferential device

Jeon, Y., Chu, Y., Pasupathy, R., & Shashaani, S. (2024, December 5). Journal of Simulation, Vol. 12.

By: Y. Jeon n, Y. Chu *, R. Pasupathy * & S. Shashaani n 

author keywords: Output analysis; bias estimation; variance estimation; quantile estimation
topics (OpenAlex): Simulation Techniques and Applications; Stochastic Gradient Optimization Techniques; Advanced Queuing Theory Analysis
Sources: ORCID, Web Of Science, NC State University Libraries
Added: December 5, 2024

2023 conference paper

Adaptive Robust Genetic Algorithms with Ranking and Selection

2023 Winter Simulation Conference.

Contributors: K. Vahdat & S. Shashaani 

Source: ORCID
Added: July 15, 2023

2023 article

Code and Data Repository for Diagnostic Tools for Evaluating and Comparing Simulation-Optimization Algorithms

Eckman, D. J., Henderson, S. G., & Shashaani, S. (2023, January 5). INFORMS Journal on Computing.

By: D. Eckman, S. Henderson & S. Shashaani* 

topics (OpenAlex): Simulation Techniques and Applications
Source: ORCID
Added: February 14, 2025

2023 article

Code and Data Repository for SimOpt: A Testbed for Simulation-Optimization Experiments

Eckman, D. J., Henderson, S. G., & Shashaani, S. (2023, March 9). INFORMS Journal on Computing.

By: D. Eckman, S. Henderson & S. Shashaani* 

topics (OpenAlex): Simulation Techniques and Applications; Model-Driven Software Engineering Techniques
Source: ORCID
Added: January 14, 2025

2023 article

Diagnostic Tools for Evaluating and Comparing Simulation-Optimization Algorithms

Eckman, D. J., Henderson, S. G., & Shashaani, S. (2023, January 5). INFORMS Journal on Computing, Vol. 1.

By: D. Eckman *, S. Henderson * & S. Shashaani n 

author keywords: analysis of algorithms; simulation; design of experiments; efficiency
topics (OpenAlex): Simulation Techniques and Applications; Advanced Multi-Objective Optimization Algorithms; Spreadsheets and End-User Computing
TL;DR: This work develops performance measures and plots, and estimators thereof, to evaluate and compare solvers and diagnose their strengths and weaknesses on a testbed of simulation-optimization problems and provides supporting convergence theory. (via Semantic Scholar)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: January 6, 2023

2023 article

Monte Carlo Based Machine Learning

Shashaani, S., & Vahdat, K. (2023, January 1). Lecture Notes in Operations Research.

By: S. Shashaani n  & K. Vahdat  n

topics (OpenAlex): Statistical Methods and Inference; Gaussian Processes and Bayesian Inference; Simulation Techniques and Applications
Source: ORCID
Added: November 18, 2023

2023 article

Predicting additive manufacturing defects with robust feature selection for imbalanced data

Houser, E., Shashaani, S., Harrysson, O., & Jeon, Y. (2023, April 28). IISE Transactions, Vol. 5.

By: E. Houser n, S. Shashaani n , O. Harrysson n  & Y. Jeon n

author keywords: Smart manufacturing; feature extraction; simulation optimization; robust prediction; data uncertainty
topics (OpenAlex): Industrial Vision Systems and Defect Detection; Face and Expression Recognition; Imbalanced Data Classification Techniques
Sources: ORCID, Web Of Science, NC State University Libraries
Added: June 25, 2023

2023 webpage

Robust Output Analysis with Monte-Carlo Methodology

Contributors: S. Shashaani  & K. Vahdat

Source: ORCID
Added: July 15, 2023

2023 article

SimOpt: A Testbed for Simulation-Optimization Experiments

Eckman, D. J., Henderson, S. G., & Shashaani, S. (2023, March 1). INFORMS Journal on Computing, Vol. 3.

By: D. Eckman *, S. Henderson * & S. Shashaani n 

author keywords: simulation optimization; solvers; experimental design; common random numbers
topics (OpenAlex): Simulation Techniques and Applications; Advanced Data Storage Technologies; Stochastic Gradient Optimization Techniques
TL;DR: A major redesign of SimOpt is introduced, a testbed of simulation-optimization (SO) problems and solvers that ports the code to an object-oriented architecture in Python and provides a graphical user interface. (via Semantic Scholar)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: March 10, 2023

2023 conference paper

Stochastic Constraints: How Feasible is Feasible?

2023 Winter Simulation Conference.

Contributors: D. Eckman, S. Henderson & S. Shashaani 

Source: ORCID
Added: November 18, 2023

2023 conference paper

Stratification with Concomitant Variables in Stochastic Trust-region Optimization

2023 Winter Simulation Conference.

Contributors: P. Jain & S. Shashaani 

Source: ORCID
Added: July 15, 2023

2023 conference paper

Towards Greener Stochastic Derivative-Free Optimization with Trust Regions and Adaptive Sampling

2023 Winter Simulation Conference.

Contributors: Y. Ha & S. Shashaani 

Source: ORCID
Added: July 15, 2023

2023 article

Wake effect parameter calibration with large-scale field operational data using stochastic optimization

Jain, P., Shashaani, S., & Byon, E. (2023, June 28). Applied Energy, Vol. 347.

By: P. Jain n, S. Shashaani n  & E. Byon *

author keywords: Offshore wind energy; Calibration; Wake model
topics (OpenAlex): Wind Energy Research and Development; Wind and Air Flow Studies; Turbomachinery Performance and Optimization
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: June 29, 2023

2022 article

Improved feature selection with simulation optimization

Shashaani, S., & Vahdat, K. (2022, May 30). Optimization and Engineering, Vol. 5.

By: S. Shashaani n  & K. Vahdat n 

author keywords: Stochastic error analysis; Adaptive sampling; Predictive accuracy; Data-driven dependence; Reliability
topics (OpenAlex): Machine Learning and Data Classification; Machine Learning and Algorithms; Gaussian Processes and Bayesian Inference
TL;DR: This work develops adaptive sampling strategies for large enough datasets, where the number of training and test resamples vary for each solution, and develops adaptive sample sizes, which reach the same quality level of recommended feature subsets but significantly faster than the fixed sample size version. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: June 6, 2022

2022 article

Personalized Predictions for Unplanned Urinary Tract Infection Hospitalizations with Hierarchical Clustering

Mao, L., Vahdat, K., Shashaani, S., & Swann, J. L. (2022, January 1). Springer Proceedings in Business and Economics, pp. 453–465.

By: L. Mao n, K. Vahdat n , S. Shashaani n  & J. Swann  n

topics (OpenAlex): Colorectal Cancer Screening and Detection; Primary Care and Health Outcomes; Healthcare Policy and Management; Bayesian Methods and Mixture Models; Machine Learning in Healthcare
TL;DR: A hierarchical clustering approach that leverages existing knowledge and data-driven algorithms to partition the population into groups of similar risk, followed by building a LASSO-Logistic Regression model for each group, achieves more accurate and precise predictions and offers more granular feature importance insights for each patient group. (via Semantic Scholar)
Source: ORCID
Added: March 30, 2022

2022 article

Robust Simulation Optimization with Stratification

Jain, P., Byon, E., & Shashaani, S. (2022, December 11). 2022 Winter Simulation Conference (WSC), pp. 2246–2257.

By: P. Jain n, E. Byon * & S. Shashaani n 

topics (OpenAlex): Simulation Techniques and Applications; Machine Learning and Algorithms; Statistical Methods and Bayesian Inference
TL;DR: This study shows that an adaptive sampling class of simulation optimization solvers called ASTRO-DF could become more robust with stratification, S-ASTRO-DF, and finds that while stratified sampling improves the algorithm's performance, its robustness is sensitive to the stratification structure. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: September 5, 2023

2021 article

Improved Complexity Of Trust-Region Optimization For Zeroth-Order Stochastic Oracles with Adaptive Sampling

Ha, Y., Shashaani, S., & Tran-Dinh, Q. (2021, December 12). 2021 Winter Simulation Conference (WSC).

By: Y. Ha n, S. Shashaani n  & Q. Tran-Dinh *

Contributors: Y. Ha n & Q. Tran-Dinh *

topics (OpenAlex): Stochastic Gradient Optimization Techniques; Risk and Portfolio Optimization; Privacy-Preserving Technologies in Data
TL;DR: This paper reports in the numerical experience the finite-time superiority of the enhanced ASTRO-DF over state-of-the-art using the SimOpt library and gives several theoretical results, including iteration complexity, and renders almost sure convergence guarantees. (via Semantic Scholar)
Source: ORCID
Added: March 30, 2022

2021 article

Non-Parametric Uncertainty Bias and Variance Estimation via Nested Bootstrapping and Influence Functions

Vahdat, K., & Shashaani, S. (2021, December 12). 2021 Winter Simulation Conference (WSC).

By: K. Vahdat n  & S. Shashaani n 

topics (OpenAlex): Probabilistic and Robust Engineering Design; Advanced Statistical Methods and Models; Fault Detection and Control Systems
Source: ORCID
Added: March 30, 2022

2021 conference paper

Parameter Calibration with Stratified Adaptive Stochastic Trust-region Optimization

INFORMS Workshop on Quality, Statistics, and Reliability.

Sara Shashaani

Source: ORCID
Added: August 7, 2021

2021 conference paper

Wake Effect Calibration in Wind Power Systems with Adaptive Sampling Based Optimization

IISE Annual Conference Proceedings, 43–48. https://www.proquest.com/scholarly-journals/wake-effect-calibration-wind-power-systems-with/docview/2560890092

By: P. Jain, S. Shashaani  & E. Byon

www.proquest.com
Source: ORCID
Added: August 7, 2021

2020 article

A Simulation Optimization Approach for Managing Product Transitions in Multistage Production Lines

Manda, A. B., Gopalswamy, K., Shashaani, S., & Uzsoy, R. (2020, December 14). 2020 Winter Simulation Conference (WSC).

By: A. Manda n, K. Gopalswamy n, S. Shashaani n  & R. Uzsoy n 

topics (OpenAlex): Scheduling and Optimization Algorithms; Simulation Techniques and Applications; Flexible and Reconfigurable Manufacturing Systems
TL;DR: This work uses simulation optimization to develop solutions and examine the impact of learning at a single machine on the rest of the system, laying the foundation for studying product transitions using realistic fab scale simulation models. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: ORCID, Web Of Science, NC State University Libraries
Added: August 7, 2021

2020 article

Simulation Optimization Based Feature Selection, a Study on Data-Driven Optimization with Input Uncertainty

Vahdat, K., & Shashaani, S. (2020, December 14). 2020 WINTER SIMULATION CONFERENCE (WSC), pp. 2149–2160.

By: K. Vahdat n  & S. Shashaani n 

topics (OpenAlex): Machine Learning and Data Classification; Advanced Multi-Objective Optimization Algorithms; Gaussian Processes and Bayesian Inference
TL;DR: This work proposes a framework for simulation optimization over a high dimensional binary space in place of the classic greedy search in forward or backward selection or regularization methods, and provides insight for leveraging Monte Carlo methodology in probabilistic data-driven modeling and analysis. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 30, 2021

2020 dataset

Simulation Optimization Library

https://github.com/simopt-admin/simopt

Contributors: D. Eckman, S. Shashaani , S. Henderson & R. Pasupathy

github.com
Source: ORCID
Added: July 15, 2023

2020 conference paper

Traffic Signal Control Simulation and Optimization

Winter Simulation Conference.

Sara Shashaani

Source: ORCID
Added: January 29, 2021

2019 article

Astro for Derivative-Based Stochastic Optimization: Algorithm Description & Numerical Experiments

Vasquez, D., Shashaani, S., & Pasupathy, R. (2019, December 1). 2019 Winter Simulation Conference (WSC).

By: D. Vasquez *, S. Shashaani n  & R. Pasupathy *

topics (OpenAlex): Stochastic Gradient Optimization Techniques; Sparse and Compressive Sensing Techniques; Markov Chains and Monte Carlo Methods
TL;DR: ASTRO incorporates adaptively sampled function and gradient estimates within a trust-region framework to generate iterates that are guaranteed to converge almost surely to a first-order or a second-order critical point of the objective function. (via Semantic Scholar)
Source: ORCID
Added: March 23, 2020

2019 article

Statistical Modeling in Absence of System Specific Data: Exploratory Empirical Analysis for Prediction of Water Main Breaks

Chen, T. Y.-J., Beekman, J. A., Guikema, S. D., & Shashaani, S. (2019, February 27). Journal of Infrastructure Systems, Vol. 25.

By: T. Chen *, J. Beekman, S. Guikema * & S. Shashaani n 

author keywords: Drinking water distribution systems; Replacement and rehabilitation planning; Asset management; Statistical modeling; Risk prioritization
topics (OpenAlex): Water Systems and Optimization; Hydrology and Drought Analysis; Water resources management and optimization
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: May 6, 2019

2018 article

ASTRO-DF: A Class of Adaptive Sampling Trust-Region Algorithms for Derivative-Free Stochastic Optimization

Shashaani, S., Hashemi, F. S., & Pasupathy, R. (2018, January 1). SIAM Journal on Optimization.

By: S. Shashaani* , F. Hashemi & R. Pasupathy

author keywords: derivative-free optimization; simulation optimization; stochastic optimization; trust region
topics (OpenAlex): Stochastic Gradient Optimization Techniques; Markov Chains and Monte Carlo Methods; Advanced Bandit Algorithms Research; Statistical Methods and Inference
TL;DR: The almost-sure convergence of ASTRO-DF's iterates to a first-order critical point when using linear or quadratic stochastic interpolation models is demonstrated. (via Semantic Scholar)
Source: ORCID
Added: October 10, 2019

2018 article

Multi-Stage Prediction for Zero-Inflated Hurricane Induced Power Outages

Shashaani, S., Guikema, S. D., Zhai, C., Pino, J. V., & Quiring, S. M. (2018, January 1). IEEE Access, Vol. 6, pp. 62432–62449.

By: S. Shashaani* , S. Guikema *, C. Zhai *, J. Pino * & S. Quiring *

author keywords: Power system analysis computing; data analysis; predictive models; risk analysis
topics (OpenAlex): Power System Reliability and Maintenance; Electricity Theft Detection Techniques; Power Systems Fault Detection
TL;DR: A new framework that operates in three stages by separating the prediction of whether or not power outages will occur from the number of customers without power is developed, and a weighted accuracy metric is introduced and investigated to investigate its benefits over mean absolute error. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Source: ORCID
Added: October 10, 2019

2016 article

ASTRO-DF: Adaptive sampling trust-region optimization algorithms, heuristics, and numerical experience

Shashaani, S., Hunter, S. R., & Pasupathy, R. (2016, December 1). 2016 Winter Simulation Conference (WSC).

By: S. Shashaani* , S. Hunter * & R. Pasupathy *

topics (OpenAlex): Machine Learning and Algorithms; Simulation Techniques and Applications; Advanced Bandit Algorithms Research
TL;DR: This paper describes and list ASTRO-DF, and discusses key heuristics that ensure good finite-time performance, including adaptive sampling and replication to keep the model error and the trust-region radius in lock-step, to ensure efficiency. (via Semantic Scholar)
Source: ORCID
Added: October 10, 2019

2013 article

A Simulation Optimization Approach to Epidemic Forecasting

Nsoesie, E. O., Beckman, R. J., Shashaani, S., Nagaraj, K. S., & Marathe, M. V. (2013, June 27). PLoS ONE.

By: E. Nsoesie *, R. Beckman*, S. Shashaani* , K. Nagaraj* & M. Marathe *

MeSH headings : Algorithms; Computer Simulation; Epidemics; Florida / epidemiology; Forecasting; Humans; Influenza, Human / epidemiology; Models, Biological; Seasons; Virginia / epidemiology; Washington / epidemiology
topics (OpenAlex): COVID-19 epidemiological studies; Influenza Virus Research Studies; Data-Driven Disease Surveillance
TL;DR: The SIMOP procedure combines an individual-based model and the Nelder-Mead simplex optimization method to forecast epidemics simulated over synthetic social networks representing Montgomery County in Virginia, Miami, Seattle and surrounding metropolitan regions. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Source: ORCID
Added: October 10, 2019

2010 article

Single-machine batch scheduling minimizing weighted flow times and delivery costs

Mazdeh, M. M., Shashaani, S., Ashouri, A., & Hindi, K. S. (2010, July 16). Applied Mathematical Modelling.

By: M. Mazdeh *, S. Shashaani* , A. Ashouri* & K. Hindi*

author keywords: Scheduling; Single machine; Batch delivery; Branch-and-bound; Weighted flow times
topics (OpenAlex): Scheduling and Optimization Algorithms; Advanced Manufacturing and Logistics Optimization; Assembly Line Balancing Optimization
TL;DR: This paper addresses scheduling a set of jobs on a single machine for delivery in batches to one customer or to another machine for further processing, considering the possibility of delivering jobs in batches and introducing batch delivery costs. (via Semantic Scholar)
Source: ORCID
Added: October 10, 2019

Employment

Updated: January 15th, 2026 22:40

2025 - present

North Carolina State University Raleigh, North Carolina, US
Associate Professor Industrial and Systems Engineering and Operations Research

2009 - 2025

NC State University Raleigh, NC, US
Assistant Prof. and Associate Faculty of Operations Research Graduate Program Industrial and Systems Engineering

2016 - 2018

University of Michigan Ann Arbor, MI, US
Research Fellow Industrial and Operations Engineering

Education

Updated: August 12th, 2023 08:13

2014 - 2016

Purdue University West Lafayette, IN, US
PhD Industrial Engineering

2011 - 2014

Virginia Tech Blacksburg, VA, US
Master of Science Systems Engineering and Operations Research

2009 - 2011

Purdue University West Lafayette, IN, US
Master of Science Industrial Engineering

2004 - 2008

Southern Cross University Lismore, AU
Bachelor of Science Applied Computing

2003 - 2008

Iran University of Science and Technology Tehran, IR
Bachelor of Science Industrial Engineering

Funding History

Funding history based on the linked ORCID record. Updated: November 8th, 2024 16:36

grant July 15, 2024 - June 30, 2027
Collaborative Research: Elements: A Computational and Data-Capable Environment for Stochastic Simulation Optimization
Directorate for Computer & Information Science & Engineering
grant January 1, 2024 - December 1, 2025
Advancing the sustainability and resiliency of lagoon-sprayfield systems in Eastern North Carolina: Tool Development and Utilization
NC Department of Justice
grant January 1, 2023 - December 31, 2025
Collaborative Research: Calibrating Digital Twins in the Era of Big Data with Stochastic Optimization
Directorate for Engineering
grant July 1, 2022 - July 1, 2033
Adaptive Sampling Trust-region Methods for Nonconvex Stochastic Optimization
American Association of University Women
grant January 1, 2022 - January 1, 2023
Impact of Future Climate Events on NC Animal Agriculture Systems
North Carolina State University
award January 1, 2021 - January 1, 2022
Quantum Computing and Monte Carlo Methodology
North Carolina State University

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