Sujin Kim

Sujin Kim is an Associate Clinical Professor at the Robert H. Smith School of Business at the University of Maryland. She received her Ph.D. in Operations Research from Cornell University. She teaches courses in decision analytics, data analytics, and simulation to MBA and MS students. Before she joined the Robert H. Smith School of Business, she was a Visiting Assistant Professor in the Department of Industrial Engineering at Purdue University and an Assistant Professor at the National University of Singapore. Her areas of interest include simulation methodology and stochastic simulation-based optimization, with applications in electric power and health service system. Her work has been published in Mathematics of Operations Research, SIAM Journal on Optimization, ACM Transactions on Modeling and Computer Simulation, Journal of Quality Technology, and Applied Energy.