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Haoxiang Yang


Applied Mathematics, Optimization

Haoxiang Yang

Office: TA-3, Bldg 1690, Room 142
Mail Stop: B284
Phone: (505) 665-7165
home page

Research highlight
    Stochastic Disruptions
    • Rare events with random timing and magnitude.
    • Smaller-scale than a traditional multi-stage stochastic program.
    • Cutting-plane based decomposition algorithms still apply.
 Educational Background/Employment:
  • Ph.D. (2019): Industrial Engineering and Management Sciences, Northwestern University, Evanston, IL
  • B.S. (2014): Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA
  • Employment:
    • 2019.10 - Present: Postdoc at T-5/CNLS, Los Alamos National Laboratory
    • 2017.1 - 2017.6: Doctoral Intern at Advanced Controls Group, Pacific Northwest National Laboratory
    • 2016.6 - 2016.9: Summer Research Associate, RAND Corporation
    • 2014.5 - 2014.8: Information Systems Division Intern, Wal-Mart Stores, Inc.

Research Interests:

    My research focuses on the theory of optimization under uncertainty, specifically in stochastic programming and robust optimization, integer programming and nonlinear programming, with its applications in energy systems, supply chain and logistics, disaster relief and sports analytics.

Selected Recent Publications:


  1. Yang, H., Morton, D. P., Optimal Crashing of an Activity Network with Disruptions , submitted, 2019.
  2. Yang, H., Dvijotham, K., Bandi, C., Morton, D. P., Robust Optimization for Electricity Generation , under review, 2019.
  3. Yang, H., Hu, Y., Morton, D. P., Analyzing Client Behavior in a Syringe Exchange Program , under review, 2019.

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