Dr. Jalilzadeh is an assistant professor at the University of Arizona Department of Systems and Industrial Engineering. She received her bachelor's degree in mathematics from the University of Tehran and has a PhD in Industrial Engineering and Operations Research from Pennsylvania State University. Her 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.

Degrees:

  • PhD Industrial Engineering and Operations Research - Pennsylvania State University
  • BS Mathematics - University of Tehran

Teaching Interests: Linear and nonlinear programming, stochastic optimization, probability, and statistics

Research Interests: First-order optimization methods, stochastic and simulation optimization, robust optimization, variational inequalities, and Nash games