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faculty
Leili Soltanisehat, PhD
Assistant Professor
Decision & Information Sciences
Contact
508-999-8445
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Charlton College of Business 322
Education
| 2022 | Industrial and Systems Engineering - University of Oklahoma | PhD |
| 2018 | Engineering Management and Systems Engineering | MSc |
| 2014 | Industrial and Systems Engineering | BSc |
Teaching
- Business Analytics
- Operations Management
- Intelligent Decision Sciences
- Business Statistics
Teaching
Courses
Examines both descriptive and inferential statistics as applied to business. Topics include graphical and tabular methods of data presentation, probability theory and distributions, hypothesis testing, analysis of variance, regression and forecasting. Emphasis is placed on concepts, applications, and the proper use of statistics to collect, analyze, and interpret data. Throughout this course students will use computer software to perform statistical analyses. Students will learn how to make decisions using facts and the techniques of data analysis. Students will also use the internet to supplement classroom learning.
Examines both descriptive and inferential statistics as applied to business. Topics include graphical and tabular methods of data presentation, probability theory and distributions, hypothesis testing, analysis of variance, regression and forecasting. Emphasis is placed on concepts, applications, and the proper use of statistics to collect, analyze, and interpret data. Throughout this course students will use computer software to perform statistical analyses. Students will learn how to make decisions using facts and the techniques of data analysis. Students will also use the internet to supplement classroom learning.
Examines both descriptive and inferential statistics as applied to business. Topics include graphical and tabular methods of data presentation, probability theory and distributions, hypothesis testing, analysis of variance, regression and forecasting. Emphasis is placed on concepts, applications, and the proper use of statistics to collect, analyze, and interpret data. Throughout this course students will use computer software to perform statistical analyses. Students will learn how to make decisions using facts and the techniques of data analysis. Students will also use the internet to supplement classroom learning.
Examines both descriptive and inferential statistics as applied to business. Topics include graphical and tabular methods of data presentation, probability theory and distributions, hypothesis testing, analysis of variance, regression and forecasting. Emphasis is placed on concepts, applications, and the proper use of statistics to collect, analyze, and interpret data. Throughout this course students will use computer software to perform statistical analyses. Students will learn how to make decisions using facts and the techniques of data analysis. Students will also use the internet to supplement classroom learning.
Research
Research interests
- Model-based business analytics
- Decision support system design
- Data-driven-based environmental Systems
- Sustainable and resilient infrastructures
Select publications
See curriculum vitae for more publications
- L Soltanisehat, N Ghorbani-Renani, AD González, K Barker, (2023).
Assessing production fulfillment time risk: application to pandemic-related health equipment
International Journal of Production Research, 61 (24), 8401-8422. - L Soltanisehat, K Barker, AD González (2023).
Multiregional, multi‐industry impacts of fairness on pandemic policies
Risk Analysis - L Soltanisehat, AD González, K Barker (2023).
Modeling social, economic, and health perspectives for optimal pandemic policy decision-making
Socio-Economic Planning Sciences, 86, 101472. - AE Torkayesh, R Alizadeh, L Soltanisehat (2022).
Assessing entrepreneurial performance of G7 countries under context of social sustainable development goals: A multicriteria decision analysis approach
IEEE Transactions on Engineering Management - AE Torkayesh, R Alizadeh, L Soltanisehat, SE Torkayesh, PD Lund (20220).
A comparative assessment of air quality across European countries using an integrated decision support model
Socio-Economic Planning Sciences, 81, 101198.