Alireza Ebrahimvandi is a doctoral student at the Department of Industrial and Systems Engineering (ISE) at Virginia Tech. He received his M.S. in Industrial Engineering from Tehran Polytechnic. Formerly, he worked as a data analyst for HIWEB company, one of the biggest internet access providers in Iran. He is currently working on dynamic modeling of infant mortality in state of Ohio. His research interests include system dynamics modeling, policy analysis, and simulation. [CV] Contact: alvandi@vt.edu
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Projects
Health Policy
Publications
Ghaffarzadegan, N., Larson, R. C., Fingerhut, H. A., Jalali, M. S., Ebrahimvandi, A., Quaadgras, A., & Kochan, T. 2017. Model-Based Policy Analysis to Mitigate Post-Traumatic Stress Disorder. In: J.R. Gil-Garcia, T.A. Pardo, and L.F. Luna Reyes ed. Policy Analytics, Modelling, and Informatics: Innovative Tools for Solving Complex Social Problems. pp. 387-406. Springer.Â
Hosseinichimeh, Niyousha, Rod MacDonald, Ayaz Hyder, Alireza Ebrahimvandi, Lauren Porter, Rebecca Reno, Julie Maurer, et al. "Group Model Building Techniques for Rapid Elicitation of Parameter Values, Effect Sizes, and Data Sources." System Dynamics Review 33, no. 1 (2017): 71-84.
Ghaffarzadegan, Navid, Alireza Ebrahimvandi, and Mohammad S. Jalali. "A Dynamic Model of Post-Traumatic Stress Disorder for Military Personnel and Veterans." PloS one 11, no. 10 (2016): e0161405.
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