Winner: Operations Research (Graduate)
Abstract (click to view)
Stochastic mixed-integer programs are among the most challenging class of optimization problems that finds many applications in practice. In this presentation, we describe a novel algorithmic framework for solving two-stage stochastic mixed-integer programs using internal sampling.
Siavash Tabrizian
Program: PhD in Operations Research
Faculty mentor: Harsha Gangammanavar