Ariela Sofer is an Israeli and American operations researcher whose research expertise includes algorithms for mathematical optimization and their application to the reconstruction of three-dimensional shapes from positron emission tomography.
She is a professor of systems engineering and operations research at George Mason University, and Divisional Dean for the Volgenau School of Engineering at George Mason University.
Sofer has a bachelor's degree in mathematics and a master's degree in operations research from the Technion – Israel Institute of Technology.
[1] She completed a Ph.D. in operations research at the George Washington University in 1984, with the dissertation Efficient matrix methods for solving nonlinearly constrained optimization problems via Newton's method when the projected Lagrangian Hessian is given in dyadic form.
[1] Sofer's books include: Sofer was named as a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS) in 2016.