Research

• Network Economics
• Game Theory
• Reinforcement Learning
• Operations Research
• Cyber Security

Education

Ph.D.  Electrical Engineering, University of Michigan (Ann Arbor), 2016

M.Sc. Mathematics, University of Michigan (Ann Arbor), 2014

M.Sc. Electrical Engineering, minor in Microeconomics, University of Michigan (Ann Arbor), 2013

B.S. Electrical Engineering, Sharif University of Technology, Iran, 2010

Areas of Interest

Dr. Naghizadeh’s research is focused on the role of information and incentives in distributed learning and decision making in network environments. Her research draws from and contributes to several disciplines, including network economics, game theory, reinforcement learning, optimization, and control theory, with applications including edge computing and cyber security.