Haoxiang Yang

Haoxiang Yang is a postdoctoral research associate at the Center for Nonlinear Studies (CNLS) at Los Alamos National Lab. He graduated with a PhD degree from the Department of Industrial Engineering and Management Sciences at Northwestern University.

Haoxiang's 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.

News

  • May 2020: I will give a talk about Stochastic N-1 Disruption in Distribution Power Network at the IISE Annual Meeting, New Orleans, LA.
  • March 2020: I will give two talks at the INFORMS Optimization Society Conference, Greenville, SC. (Conference Program)
  • October 2019: I gave two talks at the INFORMS Annual Meeting, Seattle, WA. (Talk 1) (Talk 2).
  • October 2019: I started my position as a postdoctoral research associate at the Center for Nonlinear Studies (CNLS) at Los Alamos National Lab.
  • August 2019: I gave a presentation about Decomposing Optimization Problems Under Stochastic Disruptions at University of Toronto, Canada.
  • July 2019: I gave a presentation about Project Crashing Optimization under Stochastic Disruption at ICSP XV, Trondheim, Norway.