Jim Luedtke

Jim Luedtke is a Professor in the Department of Industrial and Systems Engineering at the University of Wisconsin-Madison. His research focuses on operations research, integer programming, and stochastic optimization methods for solving discrete and uncertain decision problems.

Educational Background:

• BS in Industrial Engineering from University of Wisconsin-Madison
• MS in Operations Research from Georgia Institute of Technology
• PhD in Industrial and Systems Engineering from Georgia Institute of Technology
• Postdoctoral Research at IBM T.J. Watson Research Center

His work spans applications in power systems optimization, healthcare analytics, and network design, with particular emphasis on developing cutting-edge algorithms for chance-constrained and multistage stochastic programming problems. Recent publications demonstrate strong focus on Benders decomposition techniques, Lagrangian dual methods, and distributionally robust optimization frameworks.

Scientific Awards:

• NSF CAREER Award (2010) for "Risk Management via Stochastic Programming: Models, Computation, and Applications"