Velibor V. Mišić
Associate Professor of Decisions, Operations and Technology Management
Velibor Mišić’s research has spanned subjects in the area of analytics such as choice and assortment problems, robust optimization, dynamic decision making under uncertainty and health care. He is focused on developing analytics methodologies that allow firms to transform data into decisions that create value. His research has been published in journals such as Operations Research, European Journal of Operational Research and Computers & Operations Research.
An interpretable model versus black-box algorithms for complex decision making
Splitting complex problems into parts simplifies and greatly speeds the task
Measuring the utility of increased care and testing, inputs that aren’t always immediately available
A model outperformed simpler statistical approaches in predicting which patients would encounter trouble