Ruiwei Jiang is an Assistant Professor in the department of Industrial & Operations Engineering. Prof. Jiang’s research focuses on stochastic optimization and integer programming. He 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, Prof. Jiang applies DESO approaches to various engineering problems, including power and water system operations, renewable energy integration, and healthcare resource scheduling.
Faculty
Ruiwei Jiang
Assistant Professor, Industrial & Operations Engineering
Contact
[email protected]
Website
Research
Research Areas
Data; Statistics and Stochastic MethodsEnergy; Environment and Natural Resources
Optimization and Control