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
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.
- INFORMS Fellow, 2016
- INFORMS Computing Society ICS Prize, 2014
- Polygon Engineering Council Outstanding Instructor, Industrial Engineering, 2009, 2011, 2012, 2013
- Department of Energy Early Career Principal Investigator Award: Applied Mathematics, Computer Science, and High-Performance Networks, 2005-2007
- IBM Faculty Partnership Award, 2005-2006
- 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.