Miguel Lejeune, professor of decision sciences at GW Business and professor of electrical and computer engineering at GW Engineering, has received the 2022 Best Paper Award from the “Journal of Global Optimization” for the paper: Data-driven distributionally robust chance-constrained optimization with Wasserstein metric.
The paper was co-authored by Professor Ran Ji, a former GW Business doctoral student.
