Dr. Hazhir Rahmandad
Dr. Hazhir Rahmandad is an assistant professor of Industrial and Systems Engineering at Virginia Tech. Dr. Rahmandad received his Ph.D. from the Massachusetts Institute of Technology before joining Virginia Tech in 2006. He has published in diverse journals including Management Science, Epidemiology and Infection, Organization Science, and System Dynamics Review among others and his research has been funded by NSF, NIH, FAA, and private sector firms.
Building on his dynamic modeling expertise, Dr. Rahmandad has studied multiple public health problems, including building individual and population level models of obesity dynamics, understanding different risk factors leading to construction falls, and building agent-based models to inform polio eradication strategy. In another set of projects he has modeled how organizations learn in the presence of delays between taking action and observing the results and has shown through qualitative, archival, and quantitative data the learning challenges in such contexts.
His other firm level research include optimizing pricing and openness strategies for software firms and understanding tradeoffs in building long vs. short term organizational capabilities. In a third line of research Dr. Rahmandad has contributed to expanding the system dynamics modeling toolbox. Specifically he has conducted research on finding optimal policies in system dynamics models and finding the equilibriums of differential games in these models. He also has compared agent-based and differential equation modeling methods and his ongoing research includes developing and applying advanced model validation and parameter estimation methods for system dynamics models.