Enlu Zhou received the B.S. degree with highest honors in electrical engineering from Zhejiang University, China, in 2004, and the Ph.D. degree in electrical engineering from
the University of Maryland, College Park, in 2009. From 2009-2013 she was an assistant professor in the Industrial & Enterprise Systems Engineering Department at the
University of Illinois Urbana-Champaign, and since 2013 she has been in the School of Industrial & Systems Engineering at Georgia Tech. She is a recipient of the Best Theoretical Paper award at the Winter Simulation Conference, AFOSR Young
Investigator award, NSF CAREER award, and INFORMS Simulation Society Outstanding Publication Award. She has served or is currently serving as an associate editor for Journal of Simulation, IEEE Transactions
on Automatic Control, and Operations Research.
Dr. Zhou's research interests lie in theory, methods, and applications of simulation optimization and stochastic control. She currently works on the development of efficient algorithms for (i) optimizing and predicting performance of complex systems that are described by stochastic simulation models, and (ii) solving dynamic decision-making problems under uncertainty and driven by data. Her research is at the interface of simulation, control, and optimization. The application areas of her research include financial engineering, systems biology, and machine learning.