Harvey D. Spangler Faculty Scholar of Industrial and Systems Engineering
Professor and Associate Chair of Graduate Affairs
College of Engineering
Jim Luedtke is an expert in stochastic and mixed-integer programming, with applications in areas such as energy planning, service systems staffing, and supply chain management. He focuses on the design of methods for solving discrete and stochastic optimization problems.
- Stochastic optimization, especially optimization with risk constraints
- Mixed integer optimization, linear and nonlinear
- Applications of optimization