Alexander Estes

Alexander Estes

Alexander Estes

Assistant Professor, Department of Industrial and Systems Engineering


Lind Hall
Room 356
207 Church Street Se
Minneapolis, MN 55455

Ph.D., Applied Mathematics & Statistics, and Scientific Computation, 2018
University of Maryland - College Park

B.S., Mathematics, 2013
University of Nebraska - Lincoln


Alexander Estes is an assistant professor at the Department of Industrial and Systems Engineering at the University of Minnesota. His research focuses on the theory and application of optimization. On the theory side, he is especially interested in combinatorial optimization under uncertainty, and in intersections between optimization and data science. Application areas that he is especially interested in include air traffic management and supply chain management.

More information can be found on Estes' personal website.

Selected Publications


  • Estes, AS and Richard JP-P (2019). Objective-Aligned Regression for Two-Stage Linear Programs. Preprint, SSRN abstract no. 3469897.
  • Estes AS, Ball MO, Lovell DJ. Data Exploration with Selection of Representative Regions: Formulation, Axioms, Methods, and Consistency. Preprint available on SSRN, abstract no. 3005997.

Journal Publications:

  • Estes AS, Ball MO. Monge Properties, Optimal Greedy Policies, and Policy Improvement for the Dynamic Stochastic Transportation Problem. To appear in INFORMS Journal on Computing.
  • Estes AS, Ball MO. Equity and Strength in Stochastic Integer Programming Models for the Dynamic Single Airport Ground-Holding Problem. To appear in Transportation Science.
  • Ball MO, Estes AS, Hansen M, Liu Y. Quantity-Contingent Auctions and Allocation of Airport Slots. To appear in Transportation Science.
  • Estes AS, Lovell DJ, Ball MO (2018) Unsupervised prototype reduction for data exploration and an application to air traffic management initiatives. EURO Journal on Transportation and Logistics. 2603(1):1-44.

Peer-Reviewed Conference Publications:

  • Estes AS, Ball MO (2019) Alternative resource allocation mechanisms for the Collaborative Trajectory Options Program (CTOP). Proc. 13th USA/Europe Air Traffic Management R&D Seminar, 2019, Vienna.
  • Estes AS, Ball MO, Lovell DJ (2018) Selecting parameters in performance-based ground delay program planning. Proc. 8th International Conference on Research in Air Traffic, 2018, Barcelona.