Yu Yang


Yu Yang (杨煜), Ph.D. candidate in Operations Research (OR)
at the H. Milton Stewart School of Industrial & Systems Engineering, Georgia Institute of Technology

Advisors: Martin Savelsbergh, Natashia Boland


Email: yangyu@gatech.edu
Office: ISyE Main 312


  • Ph.D. (Aug 2016 - Expected May 2020), Operations Research, Georgia Institute of Technology

  • B.S. (Sep 2012 - Jun 2016), Mathematics, Peking University


My research interests lie in the intersection of operations management and optimization. I have been working on modeling and optimizing operations management problems in logistics and healthcare and on designing efficient algorithms, both theoretically and practically, for general optimization models. My research vision is to apply my solid mathematical modeling skills and expertise in optimization and data analysis to help various organizations make better decisions. My research has been centered around the following four research streams: 1) equipment management in logistics service networks; 2) treatment planning in radiation therapy for cancer treatment; 3) efficient solution schemes for classical integer programs (IPs); 4) non-convex optimization in machine learning (ML).

Publications & Working Papers

  • Y. Yang, N. Boland, M. Savelsbergh, B. Dilkina (2019). Learning generalized strong branching for set covering/packing and 0-1 knapsack problems. Manuscript in preparation.

  • Y. Yang, Y. Ridouane, N. Boland, A. Erera, M. Savelsbergh (2019). Substitution-based equipment balancing in service networks with multiple equipment types. Manuscript in preparation.