Skip to main content
Jim Luedtke

Jim Luedtke

Professor
gscholar website
lab website

Professor Jim Luedtke earned his Ph.D. at Georgia Tech and did postdoctoral work at the IBM T.J. Watson Research Center. Luedtke’s research is focused on methods for solving stochastic and mixed-integer optimization problems, as well as applications of such models. Luedtke is a recipient of an NSF CAREER award, was a finalist in the INFORMS JFIG Best Paper competition, and was awarded the INFORMS Optimization Society Prize for Young Researchers. Luedtke serves on the editorial board of Mathematical Programming Computation and is chair of the Mathematical Optimization Society Publications Committee.

Department

Industrial & Systems Engineering

Contact

3236, Mechanical Engineering Bldg
1513 University Ave
Madison, WI
p: (608) 890-2560

Featured news

Industrial engineer hopes optimization education will yield exponential dividends for future students

June 23, 2025

  • PhD 2007, Georgia Institute of Technology
  • MS 2004, Georgia Institute of Technology
  • BS 2001, Univ. of Wisconsin-Madison

  • Stochastic optimization, especially optimization with risk constraints
  • Mixed integer optimization, linear and nonlinear
  • Applications of optimization

  • 2022 Mathematical Programming Computation, Best Paper Award
  • 2018 College of Engineering, University of Wisconsin-Madison, Harvey D. Spangler Faculty Scholar
  • 2015 Fulbright Foundation, Fulbright scholar
  • 2015 IBM, IBM Faculty award
  • 2015 Polygon Engineering Student Council, College of Engineering, University of Wisconsin-Madison , Outstanding Teaching Award
  • 2013 International Conference on Stochastic Programming, Minisymposium semi-plenary speaker: 2013 International Conference on Stochastic Programming
  • 2013 National Academy of Engineering, Participant, U.S. Frontiers in Engineering Symposium
  • 2013 INFORMS Optimization Society, Prize for Young Researchers
  • 2012 INFORMS, Junior Faculty Interest Group Paper Competition Finalist (Nominated)
  • 2010 National Science Foundation, NSF CAREER Award
  • 2003 National Science Foundation, Graduate Fellowship Honorable Mention

  • Rossmann, R., Anitescu, M., Bessac, J., Ferris, M., Krock, M., Luedtke, J., & Roald, L. (2024). A Framework for Balancing Power Grid Efficiency and Risk with Bi-objective Stochastic Integer Optimization. arXiv preprint arXiv:2405.18538.
  • Daryalal, M., Bodur, M., & Luedtke, J. (2024). Lagrangian dual decision rules for multistage stochastic mixed-integer programming. Operations Research, 72(2), 717--737.
  • Soni, A., Linderoth, J., Luedtke, J., & Pimentel-Alarcon, D. (2023). An Integer Programming Approach To Subspace Clustering With Missing Data. arXiv prepring arXiv:2309.15285.
  • Zhang, Z., Gao, C., & Luedtke, J. (2023). New valid inequalities and formulations for the static joint Chance-constrained Lot-sizing problem. Mathematical Programming, 199, 639--669.
  • Kannan, R., Bayraksan, G"uzin,, & Luedtke, J. (2023). Residuals-based distributionally robust optimization with covariate information. Mathematical Programming, 1--57.
  • Chen, R., & Luedtke, J. (2023). Sparse multi-term disjunctive cuts for the epigraph of a function of binary variables. Mathematical Programming, 1--32.
  • Chen, R., & Luedtke, J. (2022). Sparse Multi-Term Disjunctive Cuts for the Epigraph of a Function of Binary Variables. In IPCO 2022. Springer-Verlag.
  • Kannan, R., Bayraksan, G"uzin,, & Luedtke, J. (2022). Data-driven sample average approximation with covariate information. arXiv preprint arXiv:2207.13554.
  • Towle, E., & Luedtke, J. (2022). Intersection disjunctions for reverse convex sets. Mathematics of Operations Research, 47(1), 297--319.
  • Chen, R., & Luedtke, J. (2022). On Generating Lagrangian Cuts for Two-Stage Stochastic Integer Programs. INFORMS Journal on Computing, 4, 2332-2349.

  • COMP SCI 719 - Stochastic Programming (Spring 2025)
  • I SY E 603 - Special Topics in Engineering Analytics and Operations Research (Spring 2025)
  • I SY E 719 - Stochastic Programming (Spring 2025)
  • I SY E 890 - Pre-Dissertator's Research (Spring 2025)
  • I SY E 990 - Research and Thesis (Spring 2025)
  • I SY E 323 - Operations Research-Deterministic Modeling (Fall 2024)
  • I SY E 890 - Pre-Dissertator's Research (Fall 2024)
  • I SY E 990 - Research and Thesis (Fall 2024)
  • I SY E 990 - Research and Thesis (Summer 2024)
  • I SY E 603 - Special Topics in Engineering Analytics and Operations Research (Spring 2024)
  • I SY E 890 - Pre-Dissertator's Research (Spring 2024)
  • COMP SCI 719 - Stochastic Programming (Fall 2023)
  • I SY E 323 - Operations Research-Deterministic Modeling (Fall 2023)
  • I SY E 699 - Advanced Independent Study (Fall 2023)
  • I SY E 719 - Stochastic Programming (Fall 2023)
  • I SY E 890 - Pre-Dissertator's Research (Fall 2023)
  • I SY E 890 - Pre-Dissertator's Research (Summer 2023)