Research Interests: ^top

• Applications
  Healthcare Operations
  Power System Operations
• Operations Research Tools
  Discrete Optimization
  Stochastic Opt. & Control

Biography: ^top

Ruiwei Jiang’s research focuses on discrete optimization under uncertainty. Many practical engineering problems search for good discrete decisions under uncertain or even incomplete inputs. Ruiwei’s research aims to develop data-enabled stochastic optimization (DESO) models and solution methodology that bring together data analytics, integer programming, stochastic programming, and robust optimization. Together with his collaborators, Ruiwei applies DESO approaches to various engineering problems, including power and water system operations, renewable energy integration, and healthcare resource scheduling.