A postdoctoral fellow working with Louis-Martin Rousseau from Université de Montréal, Omid’s main research includes discrete optimization and constraint programming. His recent work has focused on hybrid methods for the purpose of developing computationally efficient methods for difficult and large-scale optimization problems.
Sanei O B, Cire A A, Rousseau L-M, (2017), “A First Look at Picking Dual Variables for Maximizing Reduced Cost Fixing”, CPAIOR,10335, pages 221-229.
