Samira Shirzaei
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Assistant Professor of CISA
Also affiliated: Auburn University System (2021); Auburn University (2018–2021)
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Samira Shirzaei's research focuses on applying quantitative methods to analyze and forecast complex systems, particularly in the context of public health and operational efficiency. Her work includes studies on forecasting infectious disease outbreaks, such as COVID-19, utilizing statistical models like SIR, Linear Regression, Logistic Function, and ARIMA. She has investigated the effectiveness of different classification models in the poultry industry and explored the societal implications of technologies like self-checkout systems.
Shirzaei has also examined user behavior and public sentiment, as seen in her research on Google searches for "COVID vaccine" and their correlation with mental health indicators. Her publications also address quality control methods, such as S2 or S charts, for managing subgroups with varying sample sizes, and resource scheduling in dynamic service environments. Her research network includes collaborators such as Saina Abolmaali from the University of Central Arkansas.
Metrics
- h-index: 3
- Publications: 8
- Citations: 66
Positions
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Assistant Professor of CISA publications 2021–2022University of Central Arkansas Institution web page
Selected Publications
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"COVID vaccine" Google searches predict increases in percent anxiety and depression within the United States (2022)
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A comparative study of SIR Model, Linear Regression, Logistic Function and ARIMA Model for forecasting COVID-19 cases (2021)
Collaboration Network
Top Collaborators
- A comparative study of SIR Model, Linear Regression, Logistic Function and ARIMA Model for forecasting COVID-19 cases
- "COVID vaccine" Google searches predict increases in percent anxiety and depression within the United States
- "COVID vaccine" Google searches predict increases in percent anxiety and depression within the United States
- "COVID vaccine" Google searches predict increases in percent anxiety and depression within the United States
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