Campuses:

Guanglin Xu

  • Industrial Postdoctoral Fellow
Location: 
432 Lind Hall
Email: 
gxu@umn.edu

Ph.D. Management Sciences, University of Iowa

Industrial Project

Design and optimize the supply chain for Cargill Animal Nutrition and Livestock Feed with the goal of improving the sustainability and efficiency.

Related Publications and Working Papers

  1. G. Xu and S. Burer, A Data-Driven Distributionally Robust Bound on the Optimal Value of Uncertain Mixed 0-1 Linear Programming, to appear in Computational Management Science, Vol. 15, No. 1, 2018, pp. 111-134
  2. G. Xu and S. Burer, A Copositive Approach for Two-Stage Adjustable Robust Optimization with Uncertain Right-Hand Sides, to appear in Computational Optimization and Applications, 2018
  3. X. Chen, Q. Lin, and G. Xu, Distributionally Robust Optimization with Confidence Bands for Probability Density Functions, submitted for publication
  4. G. Xu and G. Hanasusanto, Improved Decision Rule Approximations for Multi-Stage Robust Optimization via Copositive Programming, submitted for publication
  5. G. Xu, A. Semenov, and M. Rysz, An Integer Programming Formulation of the Key Management Problem in Wireless Sensor Networks, submitted for publication
  6. G. Xu and R. Jiang, A Data-Driven Distributionally Robust Optimization Approach for Appointment Scheduling with Random Service Durations and No-Shows

Related Talks

  1. A Data-Driven Distributionally Robust Optimization Approach for Appointment Scheduling with Random Service Durations and No-Shows, INFORMS Annual Meeting, Phoenix, AZ, November 2018
  2. A Data-Driven Distributionally Robust Optimization Approach for Appointment Scheduling with Random Service Durations and No-Shows, MOPTA 2018, Bethlehem, PA, August 2018
  3. Distributionally Robust Optimization with Confidence Bands for Probability Density Functions, 29th European Conference on Operational Research, Valencia, Spain, July 2018
  4. A Conic Programming Reformulation of Decision Rule Problems in Multi-Stage Adjustable Robust Linear Optimization, Twenty-Third International Symposium on Mathematical Programming, Bordeaux, France, July 2018
  5. A Conic Approach for Two-Stage Adjustable Robust Linear Optimization, INFORMS Optimization Society Meeting, Denver, CO, March 2018
  6. A Data-driven Distributionally Robust Bound on the Expected Optimal Value of Uncertain Mixed 0-1 Linear Programming, INFORMS Optimization Society Meeting, Denver, CO, March 2018
  7.  Mixed 0-1 linear programs with uncertain objectives: A data-driven approach. IMA Data Science Seminar. Minneapolis, MN. February 2018.
  8. A Data-driven Distributionally Robust Bound on the Expected Optimal Value of Uncertain Mixed 0-1 Linear Programming, INFORMS Annual Meeting, Houston, October 2017
  9. A Data-Driven Distributionally Robust Bound on the Expected Optimal Value of Uncertain Mixed 0-1 Linear Programming. IMA Postdoc Seminar. Minneapolis, MN, October 2017.
  10. A Copositive Perspective on Two-Stage Adjustable Robust Linear Optimization with Uncertain Right-Hand Sides. IMA Postdoc Seminar. Minneapolis, MN. October 2017.

Related Professional Service

Conference Organization

  • Session Chair, MOPTA, Bethlehem PA, 2018
  • Session Chair, INFORMS Annual Conference, Houston TX, 2017