Program Postdoctoral Fellow (Starting Fall 2019)

Random graphs are one tool researchers can use to make rigorous predictions about real-world networks that either lack data or provide an unwieldy data set. These models have been used for many years and in a variety of fields, but there are still plenty of opportunities to address open questions and mathematical challenges, and to develop theoretical proof and rigorous analysis for how and why these models work. Mehrdad Moharrami, who is completing his Ph.D. in electrical engineering at the University of Michigan, is looking for ways to address these questions and to provide a rigorous analysis for the models already in use. 

At SFI Mehrdad will be working with Cris Moore. He received his B.Sc. from the Sharif University of Technology, Iran in Mathematics as well as Electrical Engineering. Mehrdad holds an M.Sc. in Electrical Engineering and an M.Sc. in Mathematics from the University of Michigan. He expects to receive his Ph.D. in Electrical Engineering in the Fall of 2019.