Michael C. Ferris
Stephen C. Kleene Professor in Computer Science, and (by courtesy) Mathematics and Industrial and Systems Engineering
Director, Data Sciences Hub, Wisconsin Institutes for Discovery
Algorithms, environments, theory and applications of optimization.
PhD: University of Cambridge, 1989
The major thrust of my research is in providing tools to
operations researchers, economists and engineers that help them to
understand and solve their models. Problem analysis routines, data
manipulations and solution visualization procedures are being
developed to aid both solver routines and model developers. I am
developing software (EMP) that converts MOPECs and generalized Nash
complementarity problems without human interaction, using automatic
differentiation techniques. Current work is also investigating how to
easily formulate and solve practical optimization problems using
structure exploiting methods for problem decomposition.
I am interested in using optimization in applications ranging from
energy, environmental policy and video-on-demand to
I also continue to investigate
robust methods for solving large-scale variational inequality and
nonlinear programming problems with applications to problems in
economics and engineering.
Algorithmic work related to complementarity solvers is attempting to
solve large scale models in a robust and numerically stable fashion.
To this end, we continue to develop new algorithms and
implementations, along with testing beds and techniques for succinctly
modeling both complementarity problems, mathematical programs with
equilibrium constraints, and general but structured equilibrium problems.
Transmission Line Switching
Optimization within Gamma Knife Radiosurgery