Ran Ji is an assistant professor at Department of System Engineering and Operations Research. At Mason, Ran Ji is teaching in Data Analytics Engineering Program. It is important to Ran Ji that his students leave the classroom with a fundamental knowledge of data and visual analytics methodologies and tools to prepare them to be great assets to the future employers. There are two goals that motivate his teaching philosophy: 1) helping students’ understand data and visual analytics concepts and models, and 2) fostering students’ practical skills with hands-on experiences on state-of-the-art statistical and visualization tools.
Ran Ji’s research focuses on stochastic optimization, distributionally robust optimization, chance-constrained programming and uncertainty quantification, data-driven decision making. Specifically, some of Ji’s research goals include tackling the optimization problems under uncertainty via mathematical programming. His application areas of interest include financial risk modeling, portfolio optimization, supply chain risk analytics, inventory and production planning, statistical learning and data mining.