Afrooz Jalilzadeh

Assistant Professor of Systems and Industrial Engineering

Research is focused on the design, analysis, and implementation of stochastic approximation methods for solving convex optimization and stochastic variational inequality problems with applications in machine learning, game theory, and power systems.