Jeff Linderoth

Jeffrey Linderoth
Models and Algorithms for Large-Scale Numerical Optimization


Outside interests include golf, tennis, cooking and chess.


  • BS, General Engineering highest honors, University of Illinois at Urbana–Champaign
  • MS, Operations Research, Georgia Institute of Technology
  • PhD, Industrial Engineering, Georgia Institute of Technology

Research Description

Jeffrey Linderoth’s research focuses on modeling and solving real-world, large-scale optimization problems. Specific research areas within optimization include integer programming used for modeling yes/no decisions, and stochastic programming useful for decision making under uncertainty. His research places a particular emphasis on developing high-performance, distributed optimization algorithms and software. Some of Linderoth’s current projects are reconfiguring power systems to minimize cascading failures, algorithms and software for mixed integer nonlinear programs, and long-term strategic planning for natural-resource development.


  • Polygon Engineering Council Outstanding Instructor, Industrial Engineering, 2009, 2011.
  • Eleanor & Joseph F. Libsch Early Career Research Award, Lehigh University, 2006.
  • Department of Energy Early Career Principal Investigator Award: Applied Mathematics, Computer Science, and High-Performance Networks, 2005-2007
  • IBM Faculty Partnership Award, 2005-2006
  • Lehigh Engineering Ingenuity Award for Exceptional Accomplishment in Teaching and/or Research by a Junior Faculty Member, 2005
  • Best Paper Award, with S. J. Wright, Computational Optimization and Applications, 2003.
  • SIAM Activity Group on Optimization Prize, with K. Anstreicher, N. Brixius, and J.-P Goux, 2002
  • Enrico Fermi Scholar, Argonne National Lab, 1999-2000.