Dr. Victoria Chen is Professor of Industrial, Manufacturing, & Systems Engineering at the University of Texas at Arlington. She served as Interim Chair from 2012-14, and she is currently serving as Director of Faculty & Student Research Development. She co-founded, with Dr. H. W. Corley, the Center on Stochastic Modeling, Optimization, & Statistics (www.uta.edu/cosmos). From 1993-2001, she was on the Industrial & Systems Engineering faculty at the Georgia Institute of Technology. She holds a B.S. in Mathematical Sciences from The Johns Hopkins University, and M.S. and Ph.D. in Operations Research and Industrial Engineering from Cornell University. Dr. Chen has served as cluster chair and session organizer/chair at INFORMS meetings; officers for the INFORMS Section on Data Mining and for the Forum for Women in OR/MS; and Fora Representative on the INFORMS Subdivisions Council.
Dr. Chen’s research utilizes statistical perspectives to create new methodologies for operations research problems appearing in engineering and science. She has expertise in the design of experiments, statistical modeling, and data mining, particularly for computer experiments and stochastic optimization. Through her statistics-based approach, she has developed computationally-tractable decision-making methods for many high-dimensional complex systems, including applications in inventory forecasting, airline optimization, water reservoir networks, wastewater treatment, air quality, green building, nurse assignment, and pain management.